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João Paulo Papa

Dados pessoais

  • HS Health Sciences
  • LS Life Sciences
  • MU Multidisciplinary
  • PS Physical Sciences
  • SH Social Sciences & Humanities
# Nome Links Grande Área Área
1 Gilson Brito Alves LIMA Engenharias Engenharia de Produção
2 Gustavo Maia SOUZA Ciências Biológicas Botânica
3 Marcos André GONÇALVES Ciências Exatas e da Terra Ciência da Computação
4 Osvaldo Ronald Saavedra MENDEZ Engenharias Engenharia Elétrica
5 Rouverson Pereira Da SILVA Indefinida Indefinida
6 Sidarta Tollendal Gomes RIBEIRO CpE Ciências Biológicas Bioquímica
7 Silke Anna Theresa WEBER Ciências da Saúde Medicina
Figura 1. Número de publicações por ano e por tipo, considerando todas as publicações.
  1. Physical Sciences Artificial Intelligence
    Rodrigues DOUGLAS; Henrique De Rosa GUSTAVO; Pontara Da Costa KELTON; Jodas DANILO; João Paulo PAPA. 2023. Fine-tuning restricted boltzmann machines using no-boundary jellyfish. In: 18th international conference on computer vision theory and applications. Grã-Bretanha.
  2. Physical Sciences Artificial Intelligence
    Silas F R ALVES; Leandro Aparecido Passos JUNIOR; Jodas DANILO; Akio Ikeshoji MARCO; Nunes De Souza ANDRÉ et al. 2023. A multi-class probabilistic optimum-path forest. In: 18th international conference on computer vision theory and applications. Grã-Bretanha.
  3. Life Sciences Biochemistry, Genetics and Molecular Biology (miscellaneous)
    Jodas DANILO; Del Nero Velasco GIULIANA; Reinaldo Araujo De LIMA; Aline Ribeiro MACHADO; João Paulo PAPA. 2023. Deep learning semantic segmentation models for detecting the tree crown foliage. In: 18th international conference on computer vision theory and applications. Grã-Bretanha.
  4. Physical Sciences Computer Science (miscellaneous)
    Da Silva VINÍCIUS; João Paulo PAPA; Da Costa Kelton AUGUSTO. 2023. Extractive text summarization using generalized additive models with interactions for sentence selection. In: 18th international conference on computer vision theory and applications. Grã-Bretanha.
  5. Physical Sciences Artificial Intelligence
    Garcia GABRIEL; Afonso LUIS; Passos LEANDRO; Jodas DANILO; P Da Costa KELTON et al. 2023. Fakerecogna anomaly: fake news detection in a new brazilian corpus. In: 18th international conference on computer vision theory and applications. Brasil.
  6. Physical Sciences Artificial Intelligence
    Luiz Fernando SEMENTILLE; Douglas RODRIGUES; Nunes De Souza ANDRÉ; João Paulo PAPA. 2023. Binary flying squirrel optimizer for feature selection. In: 12th brazilian conference on intelligent systems. Brasil.
  7. Physical Sciences Computer Science (miscellaneous)
    Roder MATEUS; Leandro Aparecido Passos JUNIOR; João Paulo PAPA; Rossi Andre L D. 2023. Feature selection and hyperparameter fine-tuning in artificial neural networks for wood quality classification⋆. In: 12th brazilian conference on intelligent systems. Brasil.
  8. Life Sciences Animal Science and Zoology
    Rodrigues DOUGLAS; Costa Kelton Augusto Pontara DA; Gastaldello Danilo SINKITI; Souza André NUNES; João Paulo PAPA. 2023. Opposition-based jellyfish search for feature selection. In: 2023 30th international conference on systems; signals and image processing (iwssip). Brasil.
  9. Physical Sciences Computer Networks and Communications
    Kumar G Edwin PREM; Selvakumar A IMMANUEL; Lydia M; Baskaran K; Jodas DANILO et al. 2023. A historic-best particle swarm optimization approach for trust-based routing in smart grid networks. In: 2023 30th international conference on systems; signals and image processing (iwssip). Brasil.
  10. Physical Sciences Computer Science Applications
    Lydia M; Kumar G Edwin PREM; Ravichandran AKASH; Martins Guilherme BRANDÃO; Passos Leandro A et al. 2023. Temporal dengue outbreak prediction from climatic variables using finite element machines for regression. In: 2023 30th international conference on systems; signals and image processing (iwssip). Brasil.
  11. Life Sciences Neuroscience (miscellaneous)
    Jodas Danilo SAMUEL; Passos Leandro APARECIDO; Rodrigues DOUGLAS; Lucas Thiago JOSÉ; Da Costa Kelton Augusto PONTARA et al. 2023. Opfsemble: an ensemble pruning approach via optimum-path forest. In: 2023 30th international conference on systems; signals and image processing (iwssip). Brasil.
  12. Life Sciences Neuroscience (miscellaneous)
    Claudio Filipi Gonçalves Dos SANTOS; Leandro Aparecido Passos JUNIOR; João Paulo PAPA. 2022. Maxdropoutv2: an improved method to drop out neurons in convolutional neural networks. In: Ibpria 2022: 10th iberian conference on pattern recognition and image analysis. Estados Unidos.
  13. Physical Sciences Computer Science Applications
    Thierry Pinheiro MOREIRA; Marcos Cleison Silva SANTANA; Leandro Aparecido Passos JUNIOR; João Paulo PAPA; Kelton Augusto Pontara Da COSTA. 2022. An end-to-end approach for seam carving detection using deep neural networks. In: Ibpria 2022: 10th iberian conference on pattern recognition and image analysis. Estados Unidos.
  14. Social Sciences & Humanities Linguistics and Language
    Gabriel Lino GARCIA; Sugi Afonso Luis CLAUDIO; João Paulo PAPA. 2022. Fakerecogna: a new brazilian corpus for fake news detection. In: International conference on computational processing of the portuguese language. Brasil.
  15. Physical Sciences Energy Engineering and Power Technology
    Rafael Bezerra De Menezes RODRIGUES; Pedro Ivo Monteiro PRIVATTO; Gustavo José De SOUSA; Rafael Pizzirani MURARI; Sugi Afonso Luis CLAUDIO et al. 2022. Petrobert: a domain adaptation language model for oil and gas applications in portuguese. In: International conference on computational processing of the portuguese language. Brasil.
  16. Physical Sciences Computer Networks and Communications
    André LIBÓRIO; Alexandro José BALDASSIN; João Paulo PAPA. 2022. Análise de desempenho do cálculo matricial em sistemas paralelos utilizando avx-512. In: 13ª escola regional de alto desempenho de são paulo. Brasil.
  17. Social Sciences & Humanities Linguistics and Language
    Jodas Danilo SAMUEL; Passos Leandro APARECIDO; Adeel AHSAN; João Paulo PAPA. 2022. Pl-k nn: a parameterless nearest neighbors classifier. In: 2022 29th international conference on systems; signals and image processing (iwssip). Grã-Bretanha.
  18. Physical Sciences Computer Science (miscellaneous)
    Talita PEREIRA; Regina C POPIM; Passos Júnior Leandro APARECIDO; Danillo Roberto PEREIRA; Clayton Reginaldo PEREIRA et al. 2022. Complexwounddb: a database for automatic complex wound tissue categorization. In: 29th international conference on systems; signals and image processing. Grã-Bretanha.
  19. Physical Sciences Computer Networks and Communications
    Junior Paulo R Galego HERNANDES; Scherer RAFAL; Januario Lucas B; Rodrigues DOUGLAS; João Paulo PAPA et al. 2022. From network package flow to images: how to accurately detect anomalies in computer networks. In: 2022 29th international conference on systems; signals and image processing (iwssip). Grã-Bretanha.
  20. Physical Sciences Artificial Intelligence
    Biaggi LUCAS; João Paulo PAPA; Costa Kelton A P; Pereira Danillo R; Passos Leandro A. 2022. Fema-fs: finite element machines for feature selection. In: 2022 26th international conference on pattern recognition (icpr). Estados Unidos.
  21. Life Sciences Biochemistry, Genetics and Molecular Biology (miscellaneous)
    Colombo DANILO; Gilson Brito Alves LIMA; João Paulo PAPA; Leandro Aparecido Passos JUNIOR; Marcos Cleison Silva SANTANA. 2022. A novel approach to well barriers survival analysis using machine learning. In: 32nd european safety and reliability conference. Estados Unidos.
  22. Physical Sciences Artificial Intelligence
    Buris Luiz H; Pedronette Daniel C G; João Paulo PAPA; Almeida JURANDY; Carneiro GUSTAVO et al. 2022. Mixup-based deep metric learning approaches for incomplete supervision. In: 2022 ieee international conference on image processing (icip). Estados Unidos.
  23. Physical Sciences Computer Science (miscellaneous)
    Lucas Thiago JOSE; Da Costa Kelton A PONTARA; Scherer RAFAL; João Paulo PAPA. 2022. An ensemble pruning approach to optimize intrusion detection systems performance. In: 2022 ieee international conference on systems; man; and cybernetics (smc). Estados Unidos.
  24. Physical Sciences Artificial Intelligence
    Pedro PAIOLA; Rosa G H; João Paulo PAPA. 2022. Deep learning-based abstractive summarization for brazilian portuguese texts. In: 11th brazilian conference on intelligent systems. Brasil.
  25. Physical Sciences Artificial Intelligence
    Martins Guilherme BRANDAO; João Paulo PAPA. 2022. Collaborative filtering matches decision templates: a practical approach to estimate predictions. In: 2022 35th sibgrapi conference on graphics; patterns and images (sibgrapi). Brasil.
  26. Physical Sciences Mathematics (miscellaneous)
    Martins Guilherme BRANDAO; João Paulo PAPA. 2022. How to proper initialize gaussian mixture models with optimum-path forest. In: 2022 35th sibgrapi conference on graphics; patterns and images (sibgrapi). Brasil.
  27. Life Sciences Ecology, Evolution, Behavior and Systematics
    Jodas Danilo SAMUEL; Passos Leandro APARECIDO; Del Nero Velasco GIULIANA; Longo Mariana Hortelani CARNESECA; Machado Aline RIBEIRO et al. 2022. Multiclass oversampling via optimum-path forest for tree species classification from street-view perspectives. In: 2022 35th sibgrapi conference on graphics; patterns and images (sibgrapi). Brasil.
  28. Physical Sciences Computer Networks and Communications
    Libório ANDRÉ; Baldassin ALEXANDRO; João Paulo PAPA. 2022. Análise de desempenho do cálculo matricial em sistemas paralelos utilizando avx-512. In: Escola regional de alto desempenho de são paulo. Brasil.
  29. Physical Sciences Computer Science (miscellaneous)
    Libo Rio ANDRE; Baldassin ALEXANDRO; João Paulo PAPA. 2022. Emprego da tecnologia avx-512 para acelerac¿a¿o do algoritmo popf. In: Simpósio em sistemas computacionais de alto desempenho. Brasil.
  30. Social Sciences & Humanities Psychology (miscellaneous)
    João Vitor Mariano CORREIA; João Paulo PAPA. 2022. Investigação de representações por múltiplos níveis em tarefas de reconhecimento de multimídia. In: Xxxiv congresso de iniciação científica da unesp. Brasil.
  31. Physical Sciences Artificial Intelligence
    Luiz Fernando Merli De Oliveira SEMENTILLE; João Paulo PAPA. 2022. Seleção de características baseada no algoritmo otimizador das aquilas. In: Xxxiv congresso de iniciação científica da unesp-fc/bauru. Brasil.
  32. Physical Sciences Computer Science (miscellaneous)
    João Vitor Mariano CORREIA; João Paulo PAPA. 2022. Representações por múltiplos níveis em tarefas de reconhecimento de multimídia. In: Xxxiv congresso de iniciação científica da unesp-fc/bauru. Brasil.
  33. Physical Sciences Artificial Intelligence
    Luis Antônio De Souza JÚNIOR; Leandro Aparecido Passos JUNIOR; Mendel R; Alanna EBIGBO; Probst A et al. 2021. Fine-tuning generative adversarial networks using metaheuristics: a case study on barrett?s esophagus identification. In: Bildverarbeitung für die medizin. Alemanha.
  34. Physical Sciences Computer Science (miscellaneous)
    Mendel R; Luis Antonio Souza JUNIOR; David RAUBER; João Paulo PAPA; Palm C. 2021. Semi-supervised segmentation based on error-correcting supervision. In: Bildverarbeitung für die medizin. Alemanha.
  35. Physical Sciences Computer Science Applications
    Santos Daniel F S; Pires Rafael G; Passos Leandro A; João Paulo PAPA. 2021. Ddipnet and ddipnet+: discriminant deep image prior networks for remote sensing image classification. In: Igarss 2021 2021 ieee international geoscience and remote sensing symposium. Estados Unidos.
  36. Physical Sciences Artificial Intelligence
    Pires Rafael G; Santos Daniel F S; Passos Leandro A; João Paulo PAPA. 2021. Deep regressor networks for blind image deblurring. In: Igarss 2021 2021 ieee international geoscience and remote sensing symposium. Estados Unidos.
  37. Physical Sciences Artificial Intelligence
    Ribeiro Luiz Carlos FELIX; Roder MATEUS; Rosa Gustavo H; Leandro Aparecido Passos JUNIOR; João Paulo PAPA. 2021. Enhancing hyper-to-real space projections through euclidean norm meta-heuristic optimization. In: 25th iberoamerican congress on pattern recognition. Estados Unidos.
  38. Physical Sciences Artificial Intelligence
    Rosa Gustavo H; Roder MATEUS; João Paulo PAPA. 2021. Fine-tuning dropout regularization in energy-based deep learning. In: 25th iberoamerican congress on pattern recognition. Estados Unidos.
  39. Life Sciences Neuroscience (miscellaneous)
    Presotto Joao Gabriel CAMACHO; Valem Lucas PASCOTTI; De Sa Nikolas GOMES; Pedronette Daniel Carlos GUIMARAES; João Paulo PAPA. 2021. Weakly supervised learning through rank-based contextual measures. In: 2020 25th international conference on pattern recognition (icpr). Brasil.
  40. Physical Sciences Computer Science (miscellaneous)
    Ferreira Alvaro R; De Rosa Gustavo H; João Paulo PAPA; Carneiro GUSTAVO; Faria Fabio A. 2021. Creating classifier ensembles through meta-heuristic algorithms for aerial scene classification. In: 2020 25th international conference on pattern recognition (icpr). Brasil.
  41. Physical Sciences Artificial Intelligence
    Do Santos Claudio Filipi GONCALVES; Colombo DANILO; Roder MATEUS; João Paulo PAPA. 2021. Maxdropout: deep neural network regularization based on maximum output values. In: 2020 25th international conference on pattern recognition (icpr). Brasil.
  42. Physical Sciences Computer Science (miscellaneous)
    Sousa GUSTAVO; Pedronette Daniel Carlos GUIMARÃES; João Paulo PAPA; Guilherme Ivan RIZZO. 2021. Sms spam detection through skip-gram embeddings and shallow networks. In: Findings of the association for computational linguistics: aclijcnlp 2021. Brasil.
  43. Physical Sciences Artificial Intelligence
    Jodas Danilo SAMUEL; Brazolin SERGIO; Yojo TAKASHI; De Lima Reinaldo ARAUJO; Velasco Giuliana Del NERO et al. 2021. A deep learning-based approach for tree trunk segmentation. In: 2021 34th sibgrapi conference on graphics; patterns and images (sibgrapi). Brasil.
  44. Physical Sciences Computer Science (miscellaneous)
    Roder MATEUS; Rosa Gustavo HENRIQUE; João Paulo PAPA; Guimaraes Pedronette Daniel CARLOS. 2021. Enhancing shallow neural networks through fourier-based information fusion for stroke classification. In: 2021 34th sibgrapi conference on graphics; patterns and images (sibgrapi). Brasil.
  45. Physical Sciences Computer Science (miscellaneous)
    Silva Lucas F A; Pedronette Daniel C G; Faria Fabio A; João Paulo PAPA; Almeida JURANDY. 2021. Improving transferability of domain adaptation networks through domain alignment layers. In: 2021 34th sibgrapi conference on graphics; patterns and images (sibgrapi). Brasil.
  46. Physical Sciences Computer Science (miscellaneous)
    Camargo Luiz Felipe DE; Reis CARLOS; Paiola Pedro HENRIQUE; João Paulo PAPA; Brega José Remo F et al. 2021. Métodos de aprendizado de máquina adversariais na detecção de anomalias em redes de computadores. In: Simpósio brasileiro de segurança da informação e de sistemas computacionais. Brasil.
  47. Physical Sciences Artificial Intelligence
    De Rosa Gustavo H; Roder MATEUS; João Paulo PAPA; Dos Santos Claudio F G. 2021. Improving pre- trained weights through meta - heuristics fine- tuning. In: 2021 ieee symposium series on computational intelligence (ssci). Brasil.
  48. Physical Sciences Artificial Intelligence
    Roder MATEUS; Almeida JURANDY; De Rosa Gustavo H; Passos Leandro A; Rossi Andre L D et al. 2021. From actions to events: a transfer learning approach using improved deep belief networks. In: 2021 ieee symposium series on computational intelligence (ssci). Brasil.
  49. Physical Sciences Computer Science (miscellaneous)
    Paulo R Galego Hernandes JR; Camila P FLORET; Katia F Cardozo ALMEIDA; Vinicius Camargo Da SILVA; Kelton Augusto Pontara Da COSTA et al. 2021. Phishing detection using url-based xai techniques. In: 2021 ieee symposium series on computational intelligence. Brasil.
  50. Social Sciences & Humanities Education
    Pedro Henrique Poli Domingos De OLIVEIRA; João Paulo PAPA. 2021. Aplicação de aprendizagem profunda no auxílio ao diagnóstico de covid-19 utilizando raios x. In: Xxxiii congresso de iniciação científica da unesp. Brasil.
  51. Physical Sciences Computer Science (miscellaneous)
    Luiz Fernando Merli De Oliveira SEMENTILLE; João Paulo PAPA. 2021. Seleção de características baseada no algoritmo de busca do esquilo. In: Xxxiii congresso de iniciação científica da unesp. Brasil.
  52. Physical Sciences Computer Science (miscellaneous)
    Agnes Bressan De ALMEIDA; João Paulo PAPA. 2021. Sistema para controle de recurso computacional: laboratório recogna. In: Xxxiii congresso de iniciação científica da unesp. Brasil.
  53. Life Sciences Microbiology
    Mateus RODER; Leandro Aparecido Passos JUNIOR; Luiz Carlos Felix RIBEIRO; Bárbara Caroline BENATO; Falcão A X et al. 2020. Intestinal parasites classification using deep belief networks. In: 19th international conference on artificial intelligence and soft computing. Alemanha.
  54. Physical Sciences Computer Science Applications
    Ascencao Nathalia Q; Afonso Luis C S; Colombo DANILO; Oliveira LUCIANO; João Paulo PAPA. 2020. Information ranking using optimum-path forest. In: 2020 international joint conference on neural networks (ijcnn). Brasil.
  55. Physical Sciences Physics and Astronomy (miscellaneous)
    Mateus RODER; Rosa G; Leandro Aparecido Passos JUNIOR; João Paulo PAPA; André Luis Debiaso ROSSI. 2020. Harnessing particle swarm optimization through relativistic velocity. In: 2020 ieee congress on evolutionary computation. Grã-Bretanha.
  56. Physical Sciences Artificial Intelligence
    Roder MATEUS; De Rosa Gustavo HENRIQUE; João Paulo PAPA; Breve Fabricio APARECIDO. 2020. Fine-tuning temperatures in restricted boltzmann machines using meta-heuristic optimization. In: 2020 ieee congress on evolutionary computation (cec). Grã-Bretanha.
  57. Physical Sciences Artificial Intelligence
    Lopes LEONARDO; Valem LUCAS; Pedronette DANIEL; Guilherme IVAN; João Paulo PAPA et al. 2020. Manifold learning-based clustering approach applied to anomaly detection in surveillance videos. In: 15th international conference on computer vision theory and applications. Brasil.
  58. Life Sciences Neuroscience (miscellaneous)
    Vicente Coelho Lobo NETO; Passos Júnior Leandro APARECIDO; João Paulo PAPA. 2020. Evolving long short-term memory networks. In: International conference on computational science. Grã-Bretanha.
  59. Physical Sciences Computer Science (miscellaneous)
    Jefferson FONTINELE; Marcelo MENDONÇA; Marco RUIZ; Kelton Augusto Pontara Da COSTA; João Paulo PAPA et al. 2020. Faster alpha-expansion via dynamic programming and image partitioning. In: International joint conference on neural networks. Grã-Bretanha.
  60. Physical Sciences Computer Science (miscellaneous)
    Robert MENDEL; Luis Antônio De Souza JÚNIOR; David RAUBER; João Paulo PAPA; Christoph PALM. 2020. Semi-supervised segmentation based on error-correcting supervision. In: 16th european conference on computer vision. Estados Unidos.
  61. Physical Sciences Computer Science Applications
    Tavares Henrique LEAL; Joao Baptista Cardia NETO; João Paulo PAPA; Colombo DANILO; Marana A N. 2020. People identification based on soft biometrics features obtained from 2d poses. In: 9th brazilian conference on intelligent systems. Brasil.
  62. Life Sciences Biochemistry, Genetics and Molecular Biology (miscellaneous)
    Santos Daniel F S; Pires Rafael G; Colombo DANILO; João Paulo PAPA. 2020. Scene change detection using multiscale cascade residual convolutional neural networks. In: 2020 33rd sibgrapi conference on graphics; patterns and images (sibgrapi). Brasil.
  63. Physical Sciences Artificial Intelligence
    Pires Rafael G; Santos Daniel F S; Santos Claudio F G; Santana Marcos C S; João Paulo PAPA. 2020. Image denoising using attention-residual convolutional neural networks. In: 2020 33rd sibgrapi conference on graphics; patterns and images (sibgrapi). Brasil.
  64. Life Sciences Biochemistry, Genetics and Molecular Biology (miscellaneous)
    Santos CLAUDIO; Afonso LUIS; Pereira CLAYTON; João Paulo PAPA. 2020. Breastnet: breast cancer categorization using convolutional neural networks. In: 2020 ieee 33rd international symposium on computerbased medical systems (cbms). Estados Unidos.
  65. Life Sciences Biochemistry, Genetics and Molecular Biology (miscellaneous)
    Passos LEANDRO; Jodas DANILO; Ribeiro LUIZ; Moreira THIERRY; João Paulo PAPA. 2020. O^2pf: oversampling via optimum-path forest for breast cancer detection. In: 2020 ieee 33rd international symposium on computerbased medical systems (cbms). Brasil.
  66. Physical Sciences Computer Science (miscellaneous)
    Roder MATEUS; Leandro Aparecido Passos JUNIOR; Luiz Carlos Felix RIBEIRO; Clayton Reginaldo PEREIRA; João Paulo PAPA. 2020. A layer-wise information reinforcement approach to improve learning in deep belief networks. In: 19th international conference on artificial intelligence and soft computing. Alemanha.
  67. Physical Sciences Computer Science (miscellaneous)
    Thiago José LUCAS; Carlos Alexandre Carvalho TOJEIRO; Pires Rafael G; Kelton Augusto Pontara Da COSTA; João Paulo PAPA. 2020. Machine learning for web intrusion detection: a comparative analysis of feature selection methods mrmr and pfi. In: 19th international conference on artificial intelligence and soft computing. Alemanha.
  68. Health Sciences Nutrition and Dietetics
    Akio Ikeshoji MARCO; Nunes De Souza ANDRÉ; Da Costa Junior PEDRO; S Gastaldello DANILO; João Paulo PAPA et al. 2020. Análise de incertezas em amostras de gases usadas no diagnóstico de falhas em transformadores de potência. In: Simpósio brasileiro de sistemas elétricos sbse2020. Brasil.
  69. Physical Sciences Artificial Intelligence
    Afonso Luis C S; Danilo COLOMBO; Clayton Reginaldo PEREIRA; Kelton Augusto Pontara Da COSTA; João Paulo PAPA. 2019. Multiple-instance learning through optimum-path forest. In: 2019 international joint conference on neural networks. Estados Unidos.
  70. Physical Sciences Artificial Intelligence
    Passos Leandro APARECIDO; Cleison Santana MARCOS; Moreira THIERRY; João Paulo PAPA. 2019. Κ-entropy based restricted boltzmann machines. In: 2019 international joint conference on neural networks (ijcnn). Estados Unidos.
  71. Physical Sciences Artificial Intelligence
    Leandro Aparecido Passos JUNIOR; Douglas RODRIGUES; João Paulo PAPA. 2019. Quaternion-based backtracking search optimization algorithm. In: 2019 congress on evolutionary computation. Estados Unidos.
  72. Physical Sciences Artificial Intelligence
    Rafael Gonçalves PIRES; Daniel Felipe Silva SANTOS; Levada Alexandre L M; João Paulo PAPA. 2019. A sparse filtering-based approach for non-blind deep image denoising. In: 28th international conference on artificial neural networks. Estados Unidos.
  73. Physical Sciences Artificial Intelligence
    Leandro Aparecido Passos JUNIOR; Claudio Filipi Gonçalves Dos SANTOS; Clayton Reginaldo PEREIRA; Afonso Luis Claudio SUGI; João Paulo PAPA. 2019. A hybrid approach for breast mass categorization. In: Vii eccomas thematic conference on computational vision and medical image processing. Estados Unidos.
  74. Physical Sciences Artificial Intelligence
    Clayton Reginaldo PEREIRA; Leandro Aparecido Passos JUNIOR; Douglas RODRIGUES; André Nunes De SOUZA; João Paulo PAPA. 2019. Jade-based feature selection for non-technical losses detection. In: Vii eccomas thematic conference on computational vision and medical image processing. Estados Unidos.
  75. Physical Sciences Energy Engineering and Power Technology
    Marco Akio IKESHOJ; Afonso Luis Claudio SUGI; Danilo S GASTALDELLO; André Nunes De SOUZA; Pedro Da Costa JÚNIOR et al. 2019. Qualidade no fornecimento de energia: contribuições de uma ferramenta inteligente para gestão de falhas incipientes em transformadores. In: Xiii cbqee - conferência brasileira de qualidade de energia 2019. Brasil.
  76. Social Sciences & Humanities Psychology (miscellaneous)
    Tavares Henrique LEAL; Neto Joao Baptista CARDIA; João Paulo PAPA; Colombo DANILO; Marana Aparecido NILCEU. 2019. Tracking and re-identification of people using soft-biometrics. In: 2019 xv workshop de visão computacional (wvc). Brasil.
  77. Social Sciences & Humanities Psychology (miscellaneous)
    Claudio Filipi Gonçalves Dos SANTOS; Thierry Pinheiro MOREIRA; Danilo COLOMBO; João Paulo PAPA. 2019. Does pooling really matter? an evaluation on gait recognition. In: 24th iberoamerican congress on pattern recognition. Brasil.
  78. Physical Sciences Artificial Intelligence
    Clayton Reginaldo PEREIRA; Leandro Aparecido Passos JUNIOR; Claudio Filipi Gonçalves Dos SANTOS; Luis Cláudio Súgi AFONSO; João Paulo PAPA. 2019. Breast cancer categorization using convolutional neural networks. In: 16th international symposium on computer methods in biomechanics and biomedical engineering. Estados Unidos.
  79. Physical Sciences Computer Science Applications
    Colombo DANILO; Pedronette Daniel Carlos GUIMARÃES; Guilherme Ivan RIZZO; João Paulo PAPA; Ribeiro Luiz Carlos FELIX et al. 2019. Discovering patterns within the drilling reports using artificial intelligence for operation monitoring. In: Offshore technology conference brasil. Brasil.
  80. Physical Sciences Artificial Intelligence
    Passos Júnior Leandro APARECIDO; João Paulo PAPA. 2019. On the training algorithms for restricted boltzmann machines. In: Xxxii conference on graphics; patterns and images - workshop of theses and dissertations. Brasil.
  81. Physical Sciences Computer Science Applications
    Santos Daniel F S; Pires Rafael G; Colombo DANILO; João Paulo PAPA. 2019. Video segmentation learning using cascade residual convolutional neural network. In: 2019 32nd sibgrapi conference on graphics; patterns and images (sibgrapi). Brasil.
  82. Life Sciences Neuroscience (miscellaneous)
    Ebigbo A; Mendel R; Probst A; Manzeneder J; De Souza LA et al. 2019. Artificial intelligence in early barrett's cancer: the segmentation task. In: Esge days 2019. Brasil.
  83. Physical Sciences Artificial Intelligence
    Pereira D R; João Paulo PAPA; Papa L P; Pisani R J. 2018. Land-use classification using finite element machines. In: Igarss 2018 2018 ieee international geoscience and remote sensing symposium. Estados Unidos.
  84. Physical Sciences Environmental Science (miscellaneous)
    Rogério THOMAZELLA; Castanho J E; Dotto F R L; Junior O P RODRIGUES; Rosa G H et al. 2018. Environmental monitoring using drone images and convolutional neural networks. In: Igarss 2018 2018 ieee international geoscience and remote sensing symposium. Estados Unidos.
  85. Physical Sciences Environmental Science (miscellaneous)
    Gustavo José De SOUSA; Daniel Carlos Guimarães PEDRONETTE; Baldassin A; Pedro Ivo Monteiro PRIVATTO; Matheus GASETA et al. 2018. Pattern analysis in drilling reports using optimum-path forest. In: 2018 international joint conference on neural networks (ijcnn). Estados Unidos.
  86. Health Sciences Medicine (miscellaneous)
    Pereira Danillo ROBERTO; Filho Pedro P REBOUCAS; De Rosa Gustavo HENRIQUE; João Paulo PAPA; De Albuquerque Victor Hugo C. 2018. Stroke lesion detection using convolutional neural networks. In: 2018 international joint conference on neural networks (ijcnn). Estados Unidos.
  87. Physical Sciences Artificial Intelligence
    Alyasseri Zaid Abdi ALKAREEM; Khader Ahamad TAJUDIN; Al Betar Mohammed AZMI; João Paulo PAPA; Alomari Osama AHMAD. 2018. Eeg-based person authentication using multi-objective flower pollination algorithm. In: 2018 ieee congress on evolutionary computation (cec). Estados Unidos.
  88. Physical Sciences Computer Science (miscellaneous)
    Fernandoda Silva Cieslak LUIZ; Augustopontara Da Costa KELTON; João Paulo PAPA. 2018. Seam carving detection using convolutional neural networks. In: 2018 ieee 12th international symposium on applied computational intelligence and informatics (saci). Estados Unidos.
  89. Life Sciences Neuroscience (miscellaneous)
    Claudiosugi Afonso LUIS; Passos LEANDRO; João Paulo PAPA. 2018. Enhancing brain storm optimization through optimum-path forest. In: 2018 ieee 12th international symposium on applied computational intelligence and informatics (saci). Estados Unidos.
  90. Physical Sciences Artificial Intelligence
    Passos Leandro A; Rodrigues Douglas R; João Paulo PAPA. 2018. Fine tuning deep boltzmann machines through meta-heuristic approaches. In: 2018 ieee 12th international symposium on applied computational intelligence and informatics (saci). Estados Unidos.
  91. Life Sciences Neuroscience (miscellaneous)
    Passos Leandro A; Pereira Clayton R; Rezende Edmar R S; Carvalho Tiago J; Weber Silke A T et al. 2018. Parkinson disease identification using residual networks and optimum-path forest. In: 2018 ieee 12th international symposium on applied computational intelligence and informatics (saci). Estados Unidos.
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    Afonso LUIS; Daniel Carlos Guimarães PEDRONETTE; João Paulo PAPA. 2018. Improving optimum-path forest classification using unsupervised manifold learning. In: International conference on pattern recognition. Estados Unidos.
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    Zaid ALYASSERI; Mohammed Al BETAR; João Paulo PAPA; Osama Al OMARI; Sharif Naser MAKHADME. 2018. An efficient optimization technique of eeg decomposition for user authentication system. In: 2nd international conference on biosignal analysis; processing and systems. Estados Unidos.
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    Botelho De Souza GUSTAVO; Da Silva Santos Daniel FELIPE; Goncalves Pires RAFAEL; João Paulo PAPA; Marana Aparecido NILCEU. 2018. Efficient width-extended convolutional neural network for robust face spoofing detection. In: 2018 7th brazilian conference on intelligent systems (bracis). Brasil.
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    Ribeiro Luiz Carlos FELIX; João Paulo PAPA. 2018. Unsupervised dialogue act classification with optimum-path forest. In: 2018 31st sibgrapi conference on graphics; patterns and images (sibgrapi). Brasil.
  96. Health Sciences Radiology, Nuclear Medicine and Imaging
    Souza LUIS; Ebigbo ALANNA; Probst ANDREAS; Messmann HELMUT; João Paulo PAPA et al. 2018. Barrett's esophagus identification using color co-occurrence matrices. In: 2018 31st sibgrapi conference on graphics; patterns and images (sibgrapi). Brasil.
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    Botelho De Souza GUSTAVO; João Paulo PAPA; Marana Aparecido NILCEU. 2018. On the learning of deep local features for robust face spoofing detection. In: 2018 31st sibgrapi conference on graphics; patterns and images (sibgrapi). Estados Unidos.
  98. Health Sciences Medicine (miscellaneous)
    João Paulo PAPA. 2018. Computer-assisted barrett?s esophagus identification. In: Bragfost 2018: the brazilian-german frontiers of science and technology symposia. Brasil.
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    Adriana Sayuri IWASHITA; João Paulo PAPA. 2018. Learning concept drift with optimum-path forest. In: 23rd iberoamerican congress on pattern recognition. Brasil.
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    Rogério THOMAZELLA; Brenno A CALDATO; Ricardo Achilles FILHO; Richard ALGARVE; Fabio DOTTO et al. 2018. Permanent preservation area monitoring based on aerial drone images and cnn. In: 23rd iberoamerican congress on pattern recognition. Espanha.
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    Do Amaral L M HAROLD; Souza Andre N DE; Gastaldello Danilo S; Palma Thiago X Da S; Maranho Alexander Da S et al. 2018. Use of virtual load curves for the training of neural networks for residential electricity consumption forecasting applications. In: 2018 13th ieee international conference on industry applications (induscon). Brasil.
  102. Physical Sciences Biomedical Engineering
    Pilastri Andre LUIZ; João Paulo PAPA; Tavares João Manuel R S. 2018. Segmentation of skin in dermatoscopic images using superpixels combined with complex networks. In: 3rd conference on imaging and visualization. Portugal.
  103. Physical Sciences Biomedical Engineering
    Ribeiro Patricia B; João Paulo PAPA; Romero Roseli A F. 2017. An ensemble-based approach for breast mass classification in mammography images. In: Spie medical imaging. Estados Unidos.
  104. Health Sciences Medicine (miscellaneous)
    Luis Antônio De Souza JÚNIOR; Christian HOOK; João Paulo PAPA; Christoph PALM. 2017. Barrett's esophagus analysis using surf features. In: Workshop bildverarbeitung für die medizin 2017. Alemanha.
  105. Physical Sciences Artificial Intelligence
    Fernandes Silas Evandro NACHIF; João Paulo PAPA. 2017. Pruning optimum-path forest ensembles using quaternion-based optimization. In: 2017 international joint conference on neural networks (ijcnn). Estados Unidos.
  106. Physical Sciences Artificial Intelligence
    Pereira Danillo R; João Paulo PAPA; Souza Andre N. 2017. Femar: a finite element machine for regression problems. In: 2017 international joint conference on neural networks (ijcnn). Estados Unidos.
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    Souza Gustavo B; Santos Daniel F S; Pires Rafael G; Marana Aparecido N; João Paulo PAPA. 2017. Deep boltzmann machines for robust fingerprint spoofing attack detection. In: 2017 international joint conference on neural networks (ijcnn). Estados Unidos.
  108. Physical Sciences Computer Science (miscellaneous)
    Gustavo Henrique De ROSA; João Paulo PAPA; Papa L P. 2017. Feature selection using geometric semantic genetic programming. In: The genetic and evolutionary computation conference companion. Brasil.
  109. Physical Sciences Computer Science (miscellaneous)
    Gustavo Botelho De SOUZA; João Paulo PAPA; Aparecido Nilceu MARANA. 2017. Detecção de ataques a sistemas de reconhecimento facial: uma abordagem baseada nas máquinas de boltzmann restritas. In: Encontro regional de matemática aplicada e computacional. Brasil.
  110. Life Sciences Ecology, Evolution, Behavior and Systematics
    Rafael Gonçalves PIRES; Silas F R ALVES; João Paulo PAPA. 2017. Blur parameter identification through optimum-path forest. In: 17th international conference on computer analysis of images and patterns. Estados Unidos.
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    Rosa G; Afonso Luis C S; Alexandro José BALDASSIN; João Paulo PAPA; Yang Xin SHE. 2017. Quaternionic flower pollination algorithm. In: 17th international conference on computer analysis of images and patterns. Estados Unidos.
  112. Life Sciences Neuroscience (miscellaneous)
    Clayton Reginaldo PEREIRA; Leandro Aparecido Passos JUNIOR; Ricardo Ricci LOPES; Silke Anna Theresa WEBER; Christian HOOK et al. 2017. Parkinson's disease identification using restricted boltzmann machines. In: 17th international conference on computer analysis of images and patterns. Estados Unidos.
  113. Physical Sciences Physics and Astronomy (miscellaneous)
    Leandro Aparecido Passos JUNIOR; Kelton Augusto Pontara Da COSTA; João Paulo PAPA. 2017. Deep boltzmann machines using adaptive temperatures. In: 17th international conference on computer analysis of images and patterns. Estados Unidos.
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    Gustavo Botelho De SOUZA; Aparecido Nilceu MARANA; João Paulo PAPA. 2017. Detecção de ataques a sistemas de reconhecimento facial: uma abordagem baseada nas máquinas de boltzmann restritas. In: Iv ermac ? encontro regional de matemática aplicada e computacional. Brasil.
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    Rodrigues DOUGLAS; Souza Andre NUNES; João Paulo PAPA. 2017. Pruning optimum-path forest classifiers using multi-objective optimization. In: 2017 30th sibgrapi conference on graphics; patterns and images (sibgrapi). Estados Unidos.
  116. Physical Sciences Physics and Astronomy (miscellaneous)
    Passos Leandro APARECIDO; João Paulo PAPA. 2017. Fine-tuning infinity restricted boltzmann machines. In: 2017 30th sibgrapi conference on graphics; patterns and images (sibgrapi). Brasil.
  117. Life Sciences Cell Biology
    Luis Antonio Souza JUNIOR; Afonso L; Christoph PALM; João Paulo PAPA. 2017. Barrett's esophagus identification using optimum-path forest. In: Sibgrapi 2017 - conference on graphics; patterns and images. Brasil.
  118. Life Sciences Neuroscience (miscellaneous)
    Afonso Luis Claudio SUGI; Pereira Clayton REGINALDO; Weber Silke Anna THERESA; Hook CHRISTIAN; João Paulo PAPA. 2017. Parkinson's disease identification through deep optimum-path forest clustering. In: 2017 30th sibgrapi conference on graphics; patterns and images (sibgrapi). Brasil.
  119. Physical Sciences Artificial Intelligence
    Pires Rafael GONCALVES; Santos Daniel Felipe SILVA; Pereira Luis Augusto MARTINS; Souza Gustavo Botelho DE; Levada Alexandre Luis MAGALHAES et al. 2017. A robust restricted boltzmann machine for binary image denoising. In: 2017 30th sibgrapi conference on graphics; patterns and images (sibgrapi). Estados Unidos.
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    Luis Cláudio Súgi AFONSO; Pereira Danillo R; João Paulo PAPA. 2017. A kernel-based optimum-path forest classifier. In: 22nd iberoamerican congress on pattern recognition. Grã-Bretanha.
  121. Physical Sciences Computer Science Applications
    Gustavo Botelho De SOUZA; Daniel Felipe Silva SANTOS; Rafael Gonçalves PIRES; Marana A N; João Paulo PAPA. 2017. Efficient transfer learning for robust face spoofing detection. In: 22nd iberoamerican congress on pattern recognition. Grã-Bretanha.
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    Gustavo Botelho De SOUZA; Daniel Felipe Silva SANTOS; Rafael Gonçalves PIRES; Aparecido Nilceu MARANA; João Paulo PAPA. 2017. A restricted boltzmann machine-based approach for robust dimensionality reduction. In: Xiii workshop de visão computacional. Brasil.
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    Mansano Alex F; Estevam Rafael Hruschka JUNIOR; João Paulo PAPA. 2017. Co-reference analysis through descriptor combination. In: Vi eccomas thematic conference on computational vision and medical image processing. Brasil.
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    Rafael Gonçalves PIRES; Daniel Felipe Silva SANTOS; Gustavo Botelho De SOUZA; Nilceu APARECIDO; Levada Alexandre L M et al. 2017. A deep boltzmann machine-based approach for robust image denoising. In: 23rd iberoamerican congress on pattern recognition. Grã-Bretanha.
  125. Physical Sciences Computer Science (miscellaneous)
    Osaku DANIEL; Levada Alexandre L M; João Paulo PAPA. 2016. A block-based markov random field model estimation for contextual classification using optimum-path forest. In: 2016 ieee international symposium on circuits and systems (iscas). Estados Unidos.
  126. Social Sciences & Humanities Education
    Afonso LUIS; Vidal ALEXANDRE; Kuroda MICHELLE; Falcao Alexandre XAVIER; João Paulo PAPA. 2016. Learning to classify seismic images with deep optimum-path forest. In: 2016 29th sibgrapi conference on graphics; patterns and images (sibgrapi). Brasil.
  127. Life Sciences General Neuroscience
    Martins Guilherme B; João Paulo PAPA; Almeida JURANDY. 2016. Temporal-and spatial-driven video summarization using optimum-path forest. In: 2016 29th sibgrapi conference on graphics; patterns and images (sibgrapi). Brasil.
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    Pereira Clayton R; Weber Silke A T; Hook CHRISTIAN; Rosa Gustavo H; João Paulo PAPA. 2016. Deep learning-aided parkinson's disease diagnosis from handwritten dynamics. In: 2016 29th sibgrapi conference on graphics; patterns and images (sibgrapi). Brasil.
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    Ricardo Ricci LOPES; Kelton Augusto Pontara Da COSTA; João Paulo PAPA. 2016. On the evaluation of tensor-based representations for optimum-path forest classification. In: 7th international iapr tc3 workshop on artificial neural networks in pattern recognition. Inglaterra.
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    João Paulo PAPA; Danillo Roberto PEREIRA; Alexandro José BALDASSIN; Yang Xin SHE. 2016. On the harmony search using quaternions. In: 7th international iapr tc3 workshop on artificial neural networks in pattern recognition. Inglaterra.
  131. Physical Sciences Computer Science (miscellaneous)
    Rosa Gustavo H; João Paulo PAPA; Kelton Augusto Pontara Da COSTA; Leandro Aparecido Passos JUNIOR; Clayton Reginaldo PEREIRA et al. 2016. Learning parameters in deep belief networks through firefly algorithm. In: 7th international iapr tc3 workshop on artificial neural networks in pattern recognition. Inglaterra.
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    Aldo CULQUICONDOR; Cesar Castelo FERNANDEZ; João Paulo PAPA. 2016. A new parallel training algorithm for optimum-path forest-based learning. In: 21st iberoamerican congress on pattern recognition. Inglaterra.
  133. Social Sciences & Humanities General Social Sciences
    Danilo S GASTALDELLO; André Nunes De SOUZA; Haroldo L M AMARAL; Marcio Augusto GOTTI; João Paulo PAPA. 2016. Estudo e análise dos padrões de curvas de carga de consumidores residenciais. In: Xxi congresso brasileiro de automática. Brasil.
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    Bárbara Caroline BENATO; Marana Aparecido N; João Paulo PAPA. 2016. Ajuste fino de parâmetros de redes neurais por convolucao utilizando o algoritmo de otimizaçao das aves migratorias. In: Workshop of undergraduate works - sibgrapi 2016. Brasil.
  135. Physical Sciences Environmental Science (miscellaneous)
    Pisani R; Costa K; Rosa G; Pereira D; João Paulo PAPA et al. 2016. River sediment yield classification using remote sensing imagery. In: 2016 9th iapr workshop on pattern recogniton in remote sensing (prrs). Estados Unidos.
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    Rodrigues DOUGLAS; Ramos Caio Cesar OBA; De Souza Andre NUNES; João Paulo PAPA. 2015. Black hole algorithm for non-technical losses characterization. In: 2015 ieee 6th latin american symposium on circuits & systems (lascas 2015). Estados Unidos.
  137. Health Sciences Medicine (miscellaneous)
    Pereira Clayton R; Pereira Danillo R; Silva Francisco A DA; Hook CHRISTIAN; Weber Silke A T et al. 2015. A step towards the automated diagnosis of parkinson's disease: analyzing handwriting movements. In: 2015 ieee 28th international symposium on computerbased medical systems (cbms). Estados Unidos.
  138. Life Sciences Animal Science and Zoology
    Ribeiro Patricia B; Passos Leandro A; Silva Luis A DA; Costa Kelton A P DA; João Paulo PAPA et al. 2015. Unsupervised breast masses classification through optimum-path forest. In: 2015 ieee 28th international symposium on computerbased medical systems (cbms). Estados Unidos.
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    João Paulo PAPA; Rosa Gustavo H; Kelton Augusto Pontara Da COSTA; Aparecido Nilceu MARANA; Walter SCHEIRER et al. 2015. On the model selection of bernoulli restricted boltzmann machines through harmony search. In: Genetic and evolutionary computation conference. Estados Unidos.
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    João Paulo PAPA; Papa L; Pisani R; Pereira D. 2015. Unsupervised land-cover classification through hyper-heuristic-based harmony search. In: Igarss 2015 2015 ieee international geoscience and remote sensing symposium. Itália.
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    Pereira D; Pisani R; Nakamura R; João Paulo PAPA. 2015. Land-cover classification through sequential learning-based optimum-path forest. In: Igarss 2015 2015 ieee international geoscience and remote sensing symposium. Itália.
  142. Physical Sciences Computer Science (miscellaneous)
    Dheny FERNANDES; Kelton Augusto Pontara Da COSTA; João Paulo PAPA. 2015. Análise do classificador baseado em floresta de caminhos ótimos no contexto de spam. In: V workshop do programa de pós-graduação em ciência da computação. Brasil.
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    Silas F R ALVES; Walter SCHEIRER; David Daniel COX; João Paulo PAPA. 2015. Improving optimum-path forest classification using confidence measures. In: Xx iberoamerican congress on pattern recognition. Grã-Bretanha.
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    Gustavo Henrique De ROSA; Aparecido Nilceu MARANA; David Daniel COX; Walter SCHEIRER; João Paulo PAPA. 2015. Fine-tuning convolutional neural networks using harmony search. In: Xx iberoamerican congress on pattern recognition. Grã-Bretanha.
  145. Physical Sciences Computer Science (miscellaneous)
    Guilherme Brandão MARTINS; Jurandy Gomes De Almeida JUNIOR; João Paulo PAPA. 2015. Supervised video genre classification using optimum-path forest. In: Xx iberoamerican congress on pattern recognition. Grã-Bretanha.
  146. Physical Sciences Electrical and Electronic Engineering
    Leandro Aparecido Passos JUNIOR; Kelton Augusto Pontara Da COSTA; João Paulo PAPA. 2015. Fitting multivariate gaussian distributions with optimum-path forest and its application for anomaly detection. In: 12th international conference on applied computing. Inglaterra.
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    Luis Alexandre Da SILVA; Kelton Augusto Pontara Da COSTA; Patricia Bellin RIBEIRO; Rosa Gustavo H; João Paulo PAPA. 2015. Parameter setting-free harmony search harmony search optimization of restricted boltzmann machines and its applications to spam detection. In: 12th international conference on applied computing. Inglaterra.
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    Costa Kelton A P DA; Silva Luis A DA; Martins Guilherme B; Rosa Gustavo H; Pereira Clayton R et al. 2015. Malware detection in android-based mobile environments using optimum-path forest. In: 2015 ieee 14th international conference on machine learning and applications (icmla). Estados Unidos.
  149. Social Sciences & Humanities Psychology (miscellaneous)
    Fernandes DHENY; Costa Kelton A P DA; Almeida Tiago A; João Paulo PAPA. 2015. Sms spam filtering through optimum-path forest-based classifiers. In: 2015 ieee 14th international conference on machine learning and applications (icmla). Brasil.
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    Guilherme Brandão MARTINS; Luis Cláudio Súgi AFONSO; Jurandy Gomes De Almeida JUNIOR; João Paulo PAPA. 2015. Sumarização estática de vídeos utilizando agrupamento de dados por floresta de caminhos ótimos. In: V workshop do programa de pós-graduação em ciência da computação. Brasil.
  151. Social Sciences & Humanities Education
    Adriana Sayuri IWASHITA; Marcos Vinícius Trigo ROMERO; Alexandro José BALDASSIN; Kelton Augusto Pontara Da COSTA; João Paulo PAPA. 2014. Training optimum-path forest on graphics processing units. In: International conference on computer vision theory and applications. Portugal.
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    Marcos Vinícius Trigo ROMERO; Adriana Sayuri IWASHITA; Luciene Patrici PAPA; André Nunes De SOUZA; João Paulo PAPA. 2014. Fast optimum-path forest classification on graphics processors. In: International conference on computer vision theory and applications. Portugal.
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    Pereira L A M; Douglas RODRIGUES; Ribeiro P B; João Paulo PAPA; Weber Silke A T. 2014. Social-spider optimization-based artificial neural networks training and its applications for parkinson's disease identification. In: 2014 ieee 27th international symposium on computerbased medical systems (cbms). Estados Unidos.
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    Ribeiro Patricia B; Costa Kelton A P DA; João Paulo PAPA; Romero Roseli A F. 2014. Optimum-path forest applied for breast masses classification. In: 2014 ieee 27th international symposium on computerbased medical systems (cbms). Estados Unidos.
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    Rosa Gustavo H; Costa Kelton A P; Junior Leandro A PASSOS; João Paulo PAPA; Falcao Alexandre X et al. 2014. On the training of artificial neural networks with radial basis function using optimum-path forest clustering. In: 2014 22nd international conference on pattern recognition (icpr). Estados Unidos.
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    Rodrigues DOUGLAS; Pereira Luis A M; João Paulo PAPA; Weber Silke A T. 2014. A binary krill herd approach for feature selection. In: 2014 22nd international conference on pattern recognition (icpr). Estados Unidos.
  157. Physical Sciences Computer Science (miscellaneous)
    Diego Roberto Colombo DIAS; Jose Remo Ferreira BREGA; Luis Carlos TREVELIN; Bruno Barberi GNECCO; João Paulo PAPA et al. 2014. 3d network traffic monitoring based on an automatic attack classifier. In: International conference on computational science and its applications. Portugal.
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    Pereira Danillo ROBERTO; Delpiano JOSE; João Paulo PAPA. 2014. Evolutionary optimization applied for fine-tuning parameter estimation in optical flow-based environments. In: 2014 27th sibgrapi conference on graphics; patterns and images (sibgrapi). Brasil.
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    Fernandes Silas Evandro NACHIF; Pilastri Andre LUIZ; Pereira Luis Augusto MARTINS; Pires Rafael GONCALVES; João Paulo PAPA. 2014. Learning kernels for support vector machines with polynomial powers of sigmoid. In: 2014 27th sibgrapi conference on graphics; patterns and images (sibgrapi). Brasil.
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    Danillo Roberto PEREIRA; José DELPIANO; João Paulo PAPA. 2014. Evolutionary optimization applied for fine-tuning parameter estimation in optical flow-based methods. In: X workshop de visão computacional. Brasil.
  161. Life Sciences Ecology, Evolution, Behavior and Systematics
    Guilherme Brandão MARTINS; Afonso Luis C S; Daniel OSAKU; Almeida JURANDY; João Paulo PAPA. 2014. Static video summarization through optimum-path forest clustering. In: 19th iberoamerican congress on pattern recognition. Grã-Bretanha.
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    Daniel OSAKU; Alexandre Luís Magalhães LEVADA; João Paulo PAPA. 2014. On the influence of markovian models for contextual-based optimum-path forest classification. In: 19th iberoamerican congress on pattern recognition. Grã-Bretanha.
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    Pereira Danillo R; Pazoti Mario A; Pereira Luis A M; João Paulo PAPA. 2014. A social-spider optimization approach for support vector machines parameters tuning. In: 2014 ieee symposium on swarm intelligence (sis). Estados Unidos.
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    Bárbara Caroline BENATO; João Paulo PAPA. 2014. Ponderação e seleção de características utilizando o algoritmo de otimização magnética. In: Xxvi congresso de iniciação científica da unesp. Brasil.
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    Pereira Luis A M; Afonso Luis C S; João Paulo PAPA; Vale Zita A; Ramos Caio C O et al. 2013. Multilayer perceptron neural networks training through charged system search and its application for non-technical losses detection. In: 2013 ieee pes conference on innovative smart grid technologies (isgt latin america). Brasil.
  166. Life Sciences Parasitology
    Celso Tetsuo Nagase SUZUKI; Jancarlo Ferreira GOMES; Falcão A X; Sumie Hoshino SHIMIZU; João Paulo PAPA. 2013. Automated diagnosis of human intestinal parasites using optical microscopy images. In: Ieee international symposium on biomedical imaging. Estados Unidos.
  167. Physical Sciences Computer Science (miscellaneous)
    Douglas RODRIGUES; Luís Augusto Martins PEREIRA; João Paulo PAPA; Caio Oba RAMOS; André Nunes De SOUZA et al. 2013. Optimizing feature selection through binary charged system search. In: 15th international conference on computer analysis of images and patterns. Grã-Bretanha.
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    Rodrigo Yuji Mizobe NAKAMURA; Daniel OSAKU; Alexandre Luís Magalhães LEVADA; Fábio Augusto Menocci CAPPABIANCO; Falcão A X et al. 2013. Opf-mrf: optimum-path forest and markov random fields for contextual-based image classification. In: 15th international conference on computer analysis of images and patterns. Grã-Bretanha.
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    Pereira Luis A M; João Paulo PAPA; Almeida JURANDY; Torres Ricardo Da S; Amorim Willian PARAGUASSU. 2013. A multiple labeling-based optimum-path forest for video content classification. In: 2013 xxvi sibgrapi conference on graphics; patterns and images (sibgrapi). Peru.
  170. Physical Sciences Computer Science Applications
    Caio Oba RAMOS; André Nunes De SOUZA; Tiago Forti Da SILVA; Danilo S GASTALDELLO; João Paulo PAPA. 2013. Study of non-technical losses for smart grids applications in brazil. In: X latin american congress on generation; transmission and distribution. Chile.
  171. Life Sciences Neuroscience (miscellaneous)
    Silke Anna Theresa WEBER; Carlos Alberto Da SILVA; Arthur Oscar SHELP; Luiz Antonio Lima REZENDE; João Paulo PAPA et al. 2013. Mathematical model for the classification of movement disorder in parkinson disease characterized by the biosensor bisp. In: World congress on brain; behavior and emotions. Brasil.
  172. Physical Sciences Computer Science (miscellaneous)
    Adriana Sayuri IWASHITA; João Paulo PAPA; Alexandro José BALDASSIN. 2013. Implementação do algoritmo de treinamento do classificador floresta de caminhos ótimos em gpu. In: Iii workshop do programa de pós-graduação em ciência da computação. Brasil.
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    Douglas RODRIGUES; João Paulo PAPA. 2013. Seleção de características utilizando algoritmos evolucionistas e suas aplicações em reconhecimento de padrões. In: Iii workshop do programa de pós-graduação em ciência da computação. Brasil.
  174. Social Sciences & Humanities Education
    Luís Augusto Martins PEREIRA; João Paulo PAPA. 2013. Explorando abordagens com múltiplos rótulos por florestas de caminhos ótimos. In: Iii workshop do programa de pós-graduação em ciência da computação. Brasil.
  175. Social Sciences & Humanities Education
    Rodrigo Yuji Mizobe NAKAMURA; João Paulo PAPA. 2013. Explorando abordagens de aprendizado sequencial para floresta de caminhos ótimos. In: Iii workshop do programa de pós-graduação em ciência da computação. Brasil.
  176. Physical Sciences Computer Science (miscellaneous)
    Costa KELTON; Ribeiro PATRICIA; Camargo ATAIR; Rossi VICTOR; Martins HENRIQUE et al. 2013. Comparison of the techniques decision tree and mlp for data mining in spams detection to computer networks. In: 2013 third international conference on innovative computing technology (intech). Grã-Bretanha.
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    André Nunes De SOUZA; Danilo S GASTALDELLO; Caio Miguel MARQUES; José M Do PRADO; Eurípedes S GUSMÃO et al. 2013. Implementação de ferramentas inteligentes para diagnóstico e apoio à decisão na identificação de falhas em para-raios. In: Xix congresso brasileiro de automática. Brasil.
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    Daniel OSAKU; Nakamura Rodrigo Yuji MIZOBE; João Paulo PAPA; Alexandre Luís Magalhães LEVADA; Fábio Augusto Menocci CAPPABIANCO et al. 2013. Optimizing contextual-based optimum-forest classification through swarm intelligence. In: 15th international conference advanced concepts for intelligent vision systems. Polônia.
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    Jéssica Akemi MATSUOKA; Alex Fernandes MANSANO; Luis Cláudio Súgi AFONSO; João Paulo PAPA. 2013. Descriptor combination using firefly algorithm. In: Ix workshop de visão computacional. Brasil.
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    Pereira Luis A M; João Paulo PAPA; De Souza Andre N. 2013. Harmony search applied for support vector machines training optimization. In: Ieee eurocon 2013. Estados Unidos.
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    Pires Rafael G; Pereira Luis A M; Mansano Alex F; João Paulo PAPA. 2013. A hybrid image restoration algorithm based on projections onto convex sets and harmony search. In: 2013 ieee international symposium on circuits and systems (iscas). China.
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    Douglas RODRIGUES; Luís Augusto Martins PEREIRA; Thiago Do Nascimento Santana De ALMEIDA; João Paulo PAPA; André Nunes De SOUZA et al. 2013. Bcs: a binary cuckoo search algorithm for feature selection. In: 2013 ieee international symposium on circuits and systems (iscas). China.
  183. Physical Sciences Computer Science Applications
    Ramos Caio Cesar OBA; De Souza Andre NUNES; Gastaldello Danilo SINKITI; João Paulo PAPA. 2012. Identification and feature selection of non-technical losses for industrial consumers using the software weka. In: 2012 10th ieee/ias international conference on industry applications induscon 2012. Brasil.
  184. Physical Sciences Computer Science (miscellaneous)
    Luis Cláudio Súgi AFONSO; João Paulo PAPA; Ahmad POURSABERI; Svetlana YANUSHKEVICH. 2012. A fast large scale iris database classification with optimum-path forest technique: a case study. In: International joint conference on neural networks. Austrália.
  185. Life Sciences Neuroscience (miscellaneous)
    Rodrigo José PISANI; Paulina Setti RIEDEL; Kelton Augusto Pontara Da COSTA; Rodrigo Yuji Mizobe NAKAMURA; Clayton Reginaldo PEREIRA et al. 2012. Automatic landslide recognition through optimum-path forest. In: Ieee international geoscience and remote sensing symposium. Alemanha.
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    Nakamura R; João Paulo PAPA; Fonseca L; Santos J A DOS; Torres R Da S. 2012. Hyperspectral band selection through optimum-path forest and evolutionary-based algorithms. In: Igarss 2012 2012 ieee international geoscience and remote sensing symposium. Alemanha.
  187. Physical Sciences Computer Science Applications
    André Nunes De SOUZA; Ramos Caio César OBA; Danilo S GASTALDELLO; Rodrigo Yuji Mizobe NAKAMURA; João Paulo PAPA. 2012. Fast fault diagnosis in power transformers using optimum-path forest. In: 16th ieee international conference on intelligent engineering systems. Portugal.
  188. Physical Sciences Artificial Intelligence
    Rodrigo Yuji Mizobe NAKAMURA; Luís Augusto Martins PEREIRA; Davi SILVA; Pedro CARDOZO; Clayton Reginaldo PEREIRA et al. 2012. Fast robot voice interface through optimum-path forest. In: 16th ieee international conference on intelligent engineering systems. Portugal.
  189. Physical Sciences Computer Science Applications
    Luis Cláudio Súgi AFONSO; João Paulo PAPA; Marana A N; Ahmad POURSABERI; Yanushkevich Svetlana N et al. 2012. Optimum-path forest classifier for large scale biometric applications. In: 2012 third international conference on emerging security technologies (est). Portugal.
  190. Life Sciences Ecology, Evolution, Behavior and Systematics
    Adriana Sayuri IWASHITA; João Paulo PAPA; Falcão A X; Roberto De Alencar LOTUFO; Victor Matheus De Araujo OLIVEIRA et al. 2012. Speeding up optimum-path forest training by path-cost propagation. In: 21st international conference on pattern recognition. Brasil.
  191. Physical Sciences Artificial Intelligence
    Rodrigo Yuji Mizobe NAKAMURA; Luís Augusto Martins PEREIRA; Kelton Augusto Pontara Da COSTA; Douglas RODRIGUES; João Paulo PAPA et al. 2012. Bba: a binary bat algorithm for feature selection. In: Sibgrapi 2012 - conference on graphics; patterns and images. Brasil.
  192. Physical Sciences Artificial Intelligence
    Alex Fernandes MANSANO; Jéssica Akemi MATSUOKA; Luis Cláudio Súgi AFONSO; João Paulo PAPA; Fabio Augusto FARIA et al. 2012. Improving image classification through descriptor combination. In: Sibgrapi 2012 - conference on graphics; patterns and images. Brasil.
  193. Physical Sciences Computer Science (miscellaneous)
    Afonso L; João Paulo PAPA; Papa L; Marana A; Rocha ANDERSON. 2012. Automatic visual dictionary generation through optimum-path forest clustering. In: 2012 19th ieee international conference on image processing (icip 2012). Estados Unidos.
  194. Physical Sciences Computer Science (miscellaneous)
    Kelton Augusto Pontara Da COSTA; Clayton Reginaldo PEREIRA; Rodrigo Yuji Mizobe NAKAMURA; João Paulo PAPA. 2012. Intrusion detection in computer networks using optimum-path forest clustering. In: The 37th ieee conference on local computer networks. Estados Unidos.
  195. Physical Sciences Computer Science (miscellaneous)
    Costa KELTON; Pereira CLAYTON; Nakamura RODRIGO; Pereira LUIS; João Paulo PAPA. 2012. Boosting optimum-path forest clustering through harmony search and its applications for intrusion detection in computer networks. In: 2012 fourth international conference on computational aspects of social networks (cason). Brasil.
  196. Physical Sciences Computer Science (miscellaneous)
    Clayton Reginaldo PEREIRA; Kelton Augusto Pontara Da COSTA; João Paulo PAPA. 2012. Técnicas de reconhecimento de padrões e suas aplicações em segurança de redes de computadores. In: I congresso de iniciação científica da faculdade orígenes lessa. Brasil.
  197. Physical Sciences Computer Science (miscellaneous)
    João Paulo PAPA; André Franco PAGNIN; Silvana Artioli SCHELLINI; André Augusto SPADOTTO; Rodrigo Capobianco GUIDO et al. 2011. Feature selection through gravitational search algorithm. In: 36th international conference on acoustics; speech and signal processing. Estados Unidos.
  198. Physical Sciences Artificial Intelligence
    Rodrigo José PISANI; Rodrigo Yuji Mizobe NAKAMURA; Paulina Setti RIEDEL; Célia Regina Lopes ZIMBACK; João Paulo PAPA. 2011. Can we make remote sensing image classification fast enough?. In: Xv simpósio brasileiro de sensoriamento remoto. Brasil.
  199. Physical Sciences Biomedical Engineering
    João Paulo PAPA; Clayton Reginaldo PEREIRA; Victor Hugo Costa De ALBUQUERQUE; Cleiton Carvalho SILVA; Alexandre Xavier FALCÃO et al. 2011. Metallic precipitates segmentation from scanning electron microscope images through machine learning techniques. In: 14th international workshop on combinatorial image analysis. Brasil.
  200. Physical Sciences Information Systems
    Ramos Caio César OBA; João Paulo PAPA; André Nunes De SOUZA; Giovani CHIACHIA; Alexandre Xavier FALCÃO. 2011. What is the importance of selecting features for non-technical losses identification?. In: Ieee international symposium on circuits and systems. Brasil.
  201. Physical Sciences Computer Science (miscellaneous)
    Rodrigo José PISANI; Paulina Setti RIEDEL; Alessandra Rodrigues GOMES; Rodrigo Yuji Mizobe NAKAMURA; João Paulo PAPA. 2011. Is it possible to make pixel-based radar image classification user-friendly?. In: Ieee international geoscience and remote sensing symposium. Estados Unidos.
  202. Physical Sciences Computer Science (miscellaneous)
    Rodrigo José PISANI; Paulina Setti RIEDEL; Mateus Vidotti FERREIRA; Mara Lúcia MARQUES; Rodrigo Yuji Mizobe NAKAMURA et al. 2011. Land use image classification through optimum-path forest clustering. In: Ieee international geoscience and remote sensing symposium. Estados Unidos.
  203. Physical Sciences Computer Science Applications
    Moacir Pereira Ponti JUNIOR; João Paulo PAPA. 2011. Improving accuracy and speed of optimum-path forest classier using combination of disjoint training subsets. In: 10th international workshop on multiple classifier systems. Itália.
  204. Social Sciences & Humanities Education
    João Paulo PAPA; Anderson De Rezende ROCHA. 2011. Image categorization through optimum path forest and visual words. In: Ieee international conference on image processing. Estados Unidos.
  205. Health Sciences Veterinary (miscellaneous)
    Ronaldo Martins Da COSTA; Adilson GONZAGA; Aparecido Nilceu MARANA; João Paulo PAPA. 2011. Human iris characterization through optimum-path forest and dynamic features. In: Vii workshop de visão computacional. Brasil.
  206. Physical Sciences Computer Science Applications
    Caio Oba RAMOS; André Nunes De SOUZA; Rodrigo Yuji Mizobe NAKAMURA; João Paulo PAPA. 2011. Electrical consumers data clustering through optimum-path forest. In: 16th international conference on intelligent system application on power systems. Brasil.
  207. Physical Sciences Environmental Science (miscellaneous)
    André Nunes De SOUZA; Caio Oba RAMOS; Pedro Da Costa JÚNIOR; Paulo Sérgio Da SILVA; João Paulo PAPA. 2011. Fault location in underground systems through optimum-path forest. In: 16th international conference on intelligent system application on power systems. Brasil.
  208. Physical Sciences Energy Engineering and Power Technology
    Victor Hugo Costa De ALBUQUERQUE; Rodrigo Yuji Mizobe NAKAMURA; João Paulo PAPA; Cleiton Carvalho SILVA; João Manuel Ribeiro Da Silva TAVARES. 2011. Automatic segmentation of the secondary austenite-phase island precipitates in a superduplex stainless steel weld metal. In: Vipimage 2011 - iii eccomas thematic conference on computational vision and medical image processing. Brasil.
  209. Physical Sciences Artificial Intelligence
    Rodrigo Yuji Mizobe NAKAMURA; Clayton Reginaldo PEREIRA; Falcão A X; João Paulo PAPA. 2011. Optimum-path forest pruning parameter estimation through harmony search. In: Xxiv sibgrapi - conference on graphics; patterns and images. Brasil.
  210. Life Sciences Biochemistry, Genetics and Molecular Biology (miscellaneous)
    João Paulo PAPA; Mario Esteban Muñoz GUTIERREZ; Rodrigo Yuji Mizobe NAKAMURA; Luciene Patrici PAPA; Irene Bastos Franceschini VICENTINI et al. 2011. Automatic classification of fish germ cells through optimum-path forest. In: 33rd annual international conference of the ieee engineering in medicine and biology society. Estados Unidos.
  211. Life Sciences Neuroscience (miscellaneous)
    André Augusto SPADOTTO; Rodrigo Capobianco GUIDO; Felipe Luiz CARNEVALI; André Franco PAGNIN; Falcão A X et al. 2011. Improving parkinson's disease identification through evolutionary-based feature selection. In: 33rd annual international conference of the ieee engineering in medicine and biology society. Estados Unidos.
  212. Physical Sciences Artificial Intelligence
    Caio Oba RAMOS; André Nunes De SOUZA; Danilo S GASTALDELLO; Rodrigo Yuji Mizobe NAKAMURA; João Paulo PAPA. 2011. Identificação de perdas não-técnicas utilizando agrupamento de dados por floresta de caminhos ótimos. In: X simpósio brasileiro de automação inteligente. Brasil.
  213. Physical Sciences Environmental Science (miscellaneous)
    Clayton Reginaldo PEREIRA; Rodrigo Yuji Mizobe NAKAMURA; João Paulo PAPA; Kelton Augusto Pontara Da COSTA. 2011. Intrusion detection system using optimum-path forest. In: 36th annual ieee conference on local computer networks. Alemanha.
  214. Physical Sciences Artificial Intelligence
    Moacir Pereira Ponti JUNIOR; João Paulo PAPA; Alexandre Luís Magalhães LEVADA. 2011. A markov random field model for combining optimum-path forest classifiers using decision graphs and game strategy approach. In: 16th iberoamerican congress on pattern recognition. Chile.
  215. Physical Sciences Computer Science (miscellaneous)
    Daniel OSAKU; Aparecido Nilceu MARANA; João Paulo PAPA. 2011. Uma nova metodologia baseada em grafos para a extração da impressão facial termal. In: Xxiv sibgrapi ? conference on graphics; patterns and images. Brasil.
  216. Physical Sciences Engineering (miscellaneous)
    Alan Zanoni PEIXINHO; Luis Cláudio Súgi AFONSO; João Paulo PAPA; Aparecido Nilceu MARANA; Guilherme Ivan R. 2011. Seleção inteligente de descritores de textura para estimar volume de cascalhos produzidos durante a perfuração de poços de petróleo. In: Xxiv sibgrapi ? conference on graphics; patterns and images. Brasil.
  217. Physical Sciences Computer Science (miscellaneous)
    Rodrigo Yuji Mizobe NAKAMURA; Clayton Reginaldo PEREIRA; João Paulo PAPA. 2011. Otimizando máquinas de vetores de suporte utilizando poda por floresta de caminhos ótimos. In: Xxiv sibgrapi ? conference on graphics; patterns and images. Brasil.
  218. Life Sciences Neuroscience (miscellaneous)
    Jéssica Akemi MATSUOKA; João Paulo PAPA. 2011. Reconhecimento facial humano utilizando transformada census modificada e floresta de caminhos ótimos. In: Xxiv sibgrapi ? conference on graphics; patterns and images. Brasil.
  219. Physical Sciences Computer Science Applications
    Luís Augusto PEREIRA; Rodrigo Yuji Mizobe NAKAMURA; João Paulo PAPA; Guilherme Sasso SOUZA; Dagoberto MARTINS. 2011. Classificação automática de plantas daninhas aquáticas utilizando floresta de caminhos ótimos. In: Xxiv sibgrapi ? conference on graphics; patterns and images. Brasil.
  220. Physical Sciences Engineering (miscellaneous)
    Caio Miguel MARQUES; Rodrigo Yuji Mizobe NAKAMURA; Ivan Rizzo GUILHERME; João Paulo PAPA. 2011. New trends in musical genre classification using optimum-path forest. In: 12th international conference on music information retrieval. Alemanha.
  221. Life Sciences Neuroscience (miscellaneous)
    Jéssica Akemi MATSUOKA; João Paulo PAPA. 2011. Reconhecimento facial humano utilizando transformada census modificada e floresta de caminhos ótimos. In: Xxiii congresso de iniciação científica da unesp. Brasil.
  222. Life Sciences Agricultural and Biological Sciences (miscellaneous)
    Luís Augusto PEREIRA; Guilherme Sasso SOUZA; Dagoberto MARTINS; João Paulo PAPA. 2011. Classificação automática de plantas daninhas aquáticas utilizando floresta de caminhos ótimos. In: Xxiii congresso de iniciação científica da unesp. Brasil.
  223. Physical Sciences Computer Science (miscellaneous)
    Ariane Dutra VIEIRA; João Paulo PAPA. 2011. Opfweb: uma solução in-a-box baseada em floresta de caminhos ótimos para problemas de aprendizado de máquina: módulo de interface. In: Xxiii congresso de iniciação científica da unesp. Brasil.
  224. Physical Sciences Computer Science (miscellaneous)
    Rodrigo Yuji Mizobe NAKAMURA; Clayton Reginaldo PEREIRA; João Paulo PAPA. 2011. Otimizando máquinas de vetores de suporte utilizando floresta de caminhos ótimos. In: Xxiii congresso de iniciação científica da unesp. Brasil.
  225. Physical Sciences Computer Science Applications
    Daniel OSAKU; Marana Aparecido N; João Paulo PAPA. 2011. A graph-based framework for thermal faceprint characterization. In: 16th international conference on image analysis and processing. Itália.
  226. Life Sciences Plant Science
    Luís Augusto Martins PEREIRA; Guilherme Sasso SOUZA; Dagoberto MARTINS; João Paulo PAPA. 2011. Classificação supervisionada por floresta de caminhos ótimos aplicada à identificação de plantas daninhas aquáticas. In: 19 siicusp - simpósio internacional de iniciação científica. Brasil.
  227. Physical Sciences Computer Science Applications
    Aparecido Nilceu MARANA; João Paulo PAPA; Marcus Vinicius Duarte FERREIRA; Kazuo MIURA; Francisco TORRES. 2010. An intelligent system to detect drilling problems through drilled cuttings return analysis. In: 2010 iadc/spe drilling conference and exhibition. Estados Unidos.
  228. Physical Sciences Engineering (miscellaneous)
    João Paulo PAPA; Victor Hugo Costa De ALBUQUERQUE; Alexandre Xavier FALCÃO; João Manuel Ribeiro Da Silva TAVARES. 2010. Fast automatic microstructural segmentation of ferrous alloy samples using optimum-path forest. In: Compimage. Estados Unidos.
  229. Physical Sciences Computer Science (miscellaneous)
    João Paulo PAPA; Aparecido Nilceu MARANA; André Augusto SPADOTTO; Rodrigo Capobianco GUIDO; Alexandre Xavier FALCÃO. 2010. Robust and fast vowel recognition using optimum-path forest. In: 35th international conference on acoustics; speech; and signal processing. Estados Unidos.
  230. Physical Sciences Artificial Intelligence
    Fabio Augusto FARIA; João Paulo PAPA; Ricardo Da Silva TORRES; Alexandre Xavier FALCÃO. 2010. Multimodal pattern recognition through particle swarm optimization. In: 17th international conference on systems; signals and image processing. Brasil.
  231. Physical Sciences Engineering (miscellaneous)
    Victor Hugo Costa De ALBUQUERQUE; João Paulo PAPA; Alexandre Xavier FALCÃO; Pedro Pedrosa Rebouças FILHO; João Manuel Ribeiro Da Silva TAVARES. 2010. Application of optimum-path forest classifier for synthetic material porosity segmentation. In: 17th international conference on systems; signals and image processing. Brasil.
  232. Physical Sciences Artificial Intelligence
    Caio Oba RAMOS; André Nunes De SOUZA; João Paulo PAPA; Alexandre Xavier FALCÃO. 2010. Learning to identify non-technical losses with optimum-path forest. In: 17th international conference on systems; signals and image processing. Brasil.
  233. Physical Sciences Computer Science (miscellaneous)
    João Paulo PAPA; Fábio Augusto Menocci CAPPABIANCO; Alexandre Xavier FALCÃO. 2010. Optimizing optimum-path forest classification for huge datasets. In: 20th international conference on pattern recognition. Estados Unidos.
  234. Physical Sciences Computer Science (miscellaneous)
    André Franco PAGNIN; Silvana Artioli SCHELLINI; João Paulo PAPA. 2010. Supervised pattern classification applied for automatic pterygium identification. In: Xxi congress of the international society geographical & epidemiological ophthalmology. Alemanha.
  235. Life Sciences Genetics
    Jancarlo Ferreira GOMES; Celso Tetsuo Nagase SUZUKI; João Paulo PAPA; Sumie Hoshino SHIMIZU; Alexandre Xavier FALCÃO. 2010. Toward automation of the diagnosis of enteroparasitosis via computational image analysis. In: Xiith international congress of parasitology. Brasil.
  236. Physical Sciences Engineering (miscellaneous)
    André Nunes De SOUZA; Pedro Da Costa JÚNIOR; Renato De OLIVEIRA; Maria Goretti ZAGO; João Paulo PAPA et al. 2010. Algoritmos para estimar curvas de carga a partir de padrões de hábitos de consumo. In: 9th brazilian conference on dynamics control and their applications. Brasil.
  237. Physical Sciences Engineering (miscellaneous)
    André Nunes De SOUZA; Lucas I PEREIRA; Maria Goretti ZAGO; Pedro Da Costa JÚNIOR; João Paulo PAPA et al. 2010. Inteligência computacional aplicada na identificação e classificação de problemas de medição de energia elétrica. In: 9th brazilian conference on dynamics; control and their applications. Brasil.
  238. Physical Sciences Electrical and Electronic Engineering
    Caio Oba RAMOS; André Nunes De SOUZA; João Paulo PAPA. 2010. On the evaluation of different metrics for non-technical losses estimation through optimum-path forest. In: Xviii congresso brasileiro de automática. Brasil.
  239. Social Sciences & Humanities Education
    Anderson De Rezende ROCHA; João Paulo PAPA; Luis Augusto Angelotti MEIRA. 2010. How far you can get using machine learning black-boxes. In: 23rd sibgrapi ? conference on graphics; patterns and images. Brasil.
  240. Life Sciences Neuroscience (miscellaneous)
    André Augusto SPADOTTO; Rodrigo Capobianco GUIDO; João Paulo PAPA; Alexandre Xavier FALCÃO. 2010. Parkinson's disease identification through optimum-path forest. In: 32nd annual international conference of the ieee engineering in medicine and biology society. Argentina.
  241. Physical Sciences Computer Science Applications
    Cesar Castelo FERNANDEZ; Pedro Jussieu De REZENDE; Falcão A X; João Paulo PAPA. 2010. Improving the accuracy of the optimum-path forest supervised classifier for large datasets. In: 15th iberoamerican congress on pattern recognition. Brasil.
  242. Physical Sciences Engineering (miscellaneous)
    Afonso Luis C S; Marana Aparecido N; João Paulo PAPA; Giovani CHIACHIA; Ivan Rizzo GUILHERME. 2010. Análise de volume de cascalhos obtidos na perfuração de poços de petróleo utilizando opf e mapa auto-organizável de kohonen. In: 18º simpósio internacional de iniciação científica na usp. Brasil.
  243. Physical Sciences Artificial Intelligence
    Javier Alexander Montoya ZEGARRA; João Paulo PAPA; Leite Neucimar J; Ricardo Da Silva TORRES; Alexandre Xavier FALCÃO. 2009. Novel approaches for exclusive and continuous fingerprint classification. In: The 3rd pacific-rim symposium on image and video technology. Japão.
  244. Physical Sciences Environmental Science (miscellaneous)
    Rodrigo José PISANI; João Paulo PAPA; Célia Regina Lopes ZIMBACK; Alexandre Xavier FALCÃO; Ana Paula BARBOSA. 2009. Land use classification using optimum-path forest. In: Xiv simpósio brasileiro de sensoriamento remoto. Brasil.
  245. Physical Sciences Computer Science (miscellaneous)
    João Paulo PAPA; Greice Martins De FREITAS. 2009. Optimizing pocs parameters through genetic programming and its application for cbers-2 satellite image restoration. In: Xiv simpósio brasileiro de sensoriamento remoto. Brasil.
  246. Physical Sciences Artificial Intelligence
    João Paulo PAPA; Alexandre Xavier FALCÃO. 2009. A learning algorithm for the optimum-path forest classifier. In: 7th iapr-tc-15 workshop on graph-based representations in pattern recognition. Alemanha.
  247. Physical Sciences Artificial Intelligence
    João Paulo PAPA; Alexandre Xavier FALCÃO; Alexandre Luís Magalhães LEVADA; Débora CORRÊA; Dênis SALVADEO et al. 2009. Fast and accurate holistic face recognition using optimum-path forest. In: 16th international conference on digital signal processing. Grécia.
  248. Physical Sciences Computer Science (miscellaneous)
    Rodrigo MINETTO; João Paulo PAPA; Thiago Vallin SPINA; Alexandre Xavier FALCÃO; Neucimar Jerônimo LEITE et al. 2009. Fast and robust object tracking using image foresting transform. In: 16th international conference on systems; signals and image processing. Grécia.
  249. Life Sciences Neuroscience (miscellaneous)
    Giovani CHIACHIA; Aparecido Nilceu MARANA; João Paulo PAPA; Alexandre Xavier FALCÃO. 2009. Infrared face recognition by optimum-path forest. In: 16th international conference on systems; signals and image processing. Grécia.
  250. Physical Sciences Environmental Science (miscellaneous)
    Greice Martins De FREITAS; Ana Maria Heuminski De ÁVILA; João Paulo PAPA; Alexandre Xavier FALCÃO. 2009. Optimum-path forest-based rainfall estimation. In: 16th international conference on systems; signals and image processing. Grécia.
  251. Physical Sciences Computer Science Applications
    Greice Martins De FREITAS; Ana Maria Heuminski De ÁVILA; João Paulo PAPA. 2009. Satellite-based rainfall estimation through semi-supervised learning. In: 2009 world congress on computer science and information engineering. Estados Unidos.
  252. Life Sciences Ecology, Evolution, Behavior and Systematics
    João Paulo PAPA; Alexandre Xavier FALCÃO. 2009. On the training patterns pruning for optimum-path forest. In: 15th international conference on image analysis and processing. Itália.
  253. Physical Sciences Computer Science Applications
    Aparecido Nilceu MARANA; João Paulo PAPA; Ivan Rizzo GUILHERME; Giovani CHIACHIA. 2009. An intelligent system for petroleum well drilling cutting analysis. In: International conference on adaptive and intelligent systems. Austria.
  254. Physical Sciences Electrical and Electronic Engineering
    Aparecido Nilceu MARANA; João Paulo PAPA; Ivan Rizzo GUILHERME; Giovani CHIACHIA; Kazuo MIURA et al. 2009. Estimativa de volume de cascalho usando máquinas de vetores de suporte. In: Iii encontro nacional de hidráulica de poços e estimulação. Brasil.
  255. Physical Sciences Artificial Intelligence
    João Paulo PAPA; Alexandre Xavier FALCÃO. 2009. Optimum-path forest: a novel and powerful framework for supervised graph-based pattern recognition techniques. In: Xxix congresso da sociedade brasileira de computação. Brasil.
  256. Physical Sciences Engineering (miscellaneous)
    Caio Oba RAMOS; André Nunes De SOUZA; Lucas I PEREIRA; Danilo S GASTALDELLO; João Paulo PAPA. 2009. Técnicas inteligentes aplicadas na identificação de consumidores fraudadores de energia elétrica. In: 8th latin-american congress on electricity and trasmission. Brasil.
  257. Physical Sciences Artificial Intelligence
    Aparecido Nilceu MARANA; João Paulo PAPA; Giovani CHIACHIA. 2009. Análise de desempenho de classificadores baseados em redes neurais; máquinas de vetores de suporte e florestas de caminhos ótimos para o reconhecimento de dígitos manuscritos. In: V workshop de visão computacional. Brasil.
  258. Life Sciences Biochemistry, Genetics and Molecular Biology (miscellaneous)
    André Nunes De SOUZA; Maria Goretti ZAGO; Caio Oba RAMOS; Danilo S GASTALDELLO; João Paulo PAPA et al. 2009. Desenvolvimento de um sistema especialista para diagnóstico da vida útil das famílias de pára-raios de 230 kv. In: Anais do 8th latin-american congresso on electricity generation and transmission. Brasil.
  259. Physical Sciences Computer Science (miscellaneous)
    João Paulo PAPA; Alexandre Xavier FALCÃO. 2009. Supervised pattern classification using optimum-path forest. In: Xxii brazilian symposium on computer graphics and image processing. Brasil.
  260. Physical Sciences Computer Science Applications
    Caio Oba RAMOS; André Nunes De SOUZA; João Paulo PAPA; Alexandre Xavier FALCÃO. 2009. Fast non-technical losses identification through optimum-path forest. In: 15th international conference on intelligent system application to power systems. Estados Unidos.
  261. Physical Sciences Engineering (miscellaneous)
    Luis Cláudio Súgi AFONSO; Aparecido Nilceu MARANA; João Paulo PAPA; Giovani CHIACHIA; Ivan Rizzo GUILHERME. 2009. Análise de volume de cascalhos obtidos na perfuração de poços de petróleo utilizando máquinas de vetores de suporte. In: 17º simpósio internacional de iniciação científica da universidade de são paulo. Brasil.
  262. Physical Sciences Engineering (miscellaneous)
    Luis Cláudio Súgi AFONSO; Aparecido Nilceu MARANA; João Paulo PAPA; Giovani CHIACHIA; Ivan Rizzo GUILHERME. 2009. Análise de volume de cascalhos obtidos na perfuração de poços de petróleo utilizando máquinas de vetores de suporte e funções de ajuste. In: Xxi congresso de iniciação científica da unesp. Brasil.
  263. Health Sciences Infectious Diseases
    André Franco PAGNIN; João Paulo PAPA; Silvana Artioli SCHELLINI; Said Naif Daibes NETO. 2009. Designing a risk profile for pterygium through an optimum-path forest analysis pathway. In: V encontro de pós-graduação da fmb. Brasil.
  264. Physical Sciences Artificial Intelligence
    João Paulo PAPA; Alexandre Xavier FALCÃO; Celso Tetsuo Nagase SUZUKI; Nelson Delfino D Ávila MASCARENHAS. 2008. A discrete approach for supervised pattern recognition. In: 12th international workshop on combinatorial image analysis. Estados Unidos.
  265. Health Sciences Medicine (miscellaneous)
    André Augusto SPADOTTO; José Carlos PEREIRA; Rodrigo Capobianco GUIDO; João Paulo PAPA; Alexandre Xavier FALCÃO et al. 2008. Oropharyngeal dysphagia identification using wavelets and optimum path forest. In: 3rd international symposium on communications; control and signal processing. Brasil.
  266. Physical Sciences Energy Engineering and Power Technology
    Greice Martins De FREITAS; Ana Maria Heuminski De ÁVILA; João Paulo PAPA. 2008. Rainfall estimation using transductive learning. In: International congress on image and signal processing. Brasil.
  267. Physical Sciences Computer Science (miscellaneous)
    João Paulo PAPA; Greice Martins De FREITAS. 2008. Boosting rap-2d image restoration through genetic programming. In: Iv workshop de visão computacional. Brasil.
  268. Physical Sciences Artificial Intelligence
    João Paulo PAPA; Alexandre Xavier FALCÃO. 2008. A new variant of the optimum-path forest classifier. In: 4th international symposium on visual computing. Estados Unidos.
  269. Physical Sciences Engineering (miscellaneous)
    Evandro De Castro CARMO; Aparecido Nilceu MARANA; Tiago Bertoni SCARTON; João Paulo PAPA; Ivan Rizzo GUILHERME. 2008. Sistema de análise de textura para detecção automática precoce de problemas de perfuração de poços de petróleo. In: Xx congresso de iniciação científica da unesp. Brasil.
  270. Physical Sciences Computer Science (miscellaneous)
    João Paulo PAPA; André Augusto SPADOTTO; Alexandre Xavier FALCÃO; José Carlos PEREIRA. 2008. Optimum path forest classifier applied to laryngeal pathology detection. In: 15th international conference on systems; signals and image processing. Eslováquia.
  271. Physical Sciences Artificial Intelligence
    João Paulo PAPA; Alexandre Xavier FALCÃO; Paulo André Vechiatto De MIRANDA; Celso Tetsuo Nagase SUZUKI; Nelson Delfino D Ávila MASCARENHAS. 2007. Design of robust pattern classifiers based on optimum-path forests. In: 8th international symposium on mathematical morphology. Brasil.
  272. Physical Sciences Environmental Science (miscellaneous)
    Greice Martins De FREITAS; Ana Maria Heuminski De ÁVILA; Hilton Silveira PINTO; João Paulo PAPA. 2007. Avaliação de classificadores para o monitoramento de precipitação em áreas agrícolas. In: Xv congresso brasileiro de agrometeorologia. Brasil.
  273. Physical Sciences Computer Science Applications
    Greice Martins De FREITAS; Ana Maria Heuminski De ÁVILA; João Paulo PAPA. 2007. Semi-supervised support vector rainfall estimation using satellite images. In: Xx brazilian symposium on computer graphics and image processing. Brasil.
  274. Life Sciences Cognitive Neuroscience
    Javier Alexander Montoya ZEGARRA; João Paulo PAPA; Neucimar Jerônimo LEITE; Ricardo Da Silva TORRES; Alexandre Xavier FALCÃO. 2007. Rotation-invariant texture recognition. In: 3rd international. symposium on visual computing. Estados Unidos.
  275. Social Sciences & Humanities Education
    João Paulo PAPA; Alexandre Xavier FALCÃO. 2007. Classificação de padrões utilizando floresta de caminhos ótimos. In: Iii workshop de teses de doutorado em andamento. Brasil.
  276. Physical Sciences Biomedical Engineering
    João Paulo PAPA; André Augusto SPADOTTO; José Carlos PEREIRA. 2006. On the analysis of the pilot images and its applications for amoeba morphological filters. In: Xix brazilian symposium on computer graphics and image processing. Brasil.
  277. Life Sciences Agricultural and Biological Sciences (miscellaneous)
    Jancarlo Ferreira GOMES; Celso Tetsuo Nagase SUZUKI; João Paulo PAPA; Alexandre Xavier FALCÃO; Sumie Hoshino SHIMIZU et al. 2006. Análise de imagens de parasitos intestinais do homem: uma realidade. In: 40o. congresso brasileiro de patologia clínica e medicina laboratorial. Brasil.
  278. Life Sciences Microbiology
    João Paulo PAPA; Alexandre Xavier FALCÃO. 2006. Reconhecimento de parasitos intestinais do homem em imagens de microscopia óptica. In: Ii workshop de teses de doutorado em andamento. Brasil.
  279. Physical Sciences Artificial Intelligence
    João Paulo PAPA; Nelson Delfino D Ávila MASCARENHAS; Leila Maria Garcia FONSECA. 2005. Uma comparação entre algoritmos de projeção para restauração de imagens do satélitecbers-1. In: Xii simpósio brasileiro de sensoriamento remoto. Brasil.
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    João Paulo PAPA; Nelson Delfino D Ávila MASCARENHAS; Leila Maria Garcia FONSECA. 2005. Image restoration using non-decimated wavelet transform and row-action projections. In: Xviii brazilian symposium on computer graphics and image processing. Brasil.
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    Nelson Delfino D Ávila MASCARENHAS; João Paulo PAPA; Leila Maria Garcia FONSECA. 2005. Prototype image constraints using modified inverse filter for cbers-2 satellite image restoration. In: Xviii brazilian symposium on computer graphics and image processing. Brasil.
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    João Paulo PAPA; Nelson Delfino D Ávila MASCARENHAS; Leila Maria Garcia FONSECA. 2004. Cbers-1 satellite image restoration using rap. In: Xvii brazilian symposium on computer graphics and image processing. Brasil.
  283. Life Sciences Animal Science and Zoology
    Karina RIBEIRO; Irene Bastos Franceschini VICENTINI; João Paulo PAPA; Luciene Patrici PAPA; Wagner Cotroni VALENTI. 2003. Morphological analysis of the hepatopancreas of macrobrachium amazonicum females; submitted to different fat acid diets. In: World aquaculture. Brasil.
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    João Paulo PAPA; Carlos Alberto VICENTINI; Irene Bastos Franceschini VICENTINI; Luciene Patrici PAPA. 2002. Morfometria da espermatogênese de corydoras aeneus utilizando processamento e análise de imagens. In: Xiv congresso de iniciação científica da universidade estadual paulista. Brasil.
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    João Paulo PAPA; Carlos Alberto VICENTINI; Irene Bastos Franceschini VICENTINI; Luciene Patrici PAPA. 2001. Estudo morfométrico dos túbulos seminíferos de curimbatá (prochilodus scrofa) com análise de imagens. In: Xiii congresso de iniciação científica da universidade estadual paulista. Brasil.
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    Carlos Alberto VICENTINI; Irene Bastos Franceschini VICENTINI; Antonio Marcos ORSI; Manoel Henrique SALGADO; Claudinei Da CRUZ et al. 2000. Estudo morfométrico dos túbulos seminíferos de peixes neotropicais (prochilodus scrofa; astyanax scabripinnis; oreochromis niloticus) durante o ciclo reprodutivo. In: Congresso de integração da morfologia luso-brasileira. Brasil.
  287. Life Sciences Biochemistry, Genetics and Molecular Biology (miscellaneous)
    Claudinei Da CRUZ; Irene Bastos Franceschini VICENTINI; Manoel Henrique SALGADO; João Paulo PAPA; Carlos Alberto VICENTINI. 2000. Estudo morfometrico do diâmetro nuclear das células germinativas durante a espermatogênese de liposarcus anisitsi (loricariidae). In: Xi encontro de biólogos crb-1. Brasil.
  1. Physical Sciences Computer Science (miscellaneous)
    Mendel ROBERT; Rauber DAVID; De Souza Luis A; João Paulo PAPA; Palm CHRISTOPH. 2023. Error-correcting mean-teacher: corrections instead of consistency-targets applied to semi-supervised medical image segmentation. Computers in biology and medicine. V, 106585-.
  2. Physical Sciences Computer Science Applications
    Mohammad Mehedi HASS; Salman A ALQAHTANI; Abdulhameed ALELAIWI; João Paulo PAPA. 2023. Lightweight neural architectures to improve covid-19 identification. Frontiers in physics. 11, 1-11.
  3. Physical Sciences Biomedical Engineering
    Guilherme Camargo De OLIVEIRA; Quoc C NGO; Passos Leandro A; João Paulo PAPA; Jodas Danilo SAMUEL et al. 2023. Tabular data augmentation for video-based detection of hypomimia in parkinson?s disease. Computer methods and programs in biomedicine. 240, 107713-.
  4. Physical Sciences Computer Science Applications
    Daniel Felipe Silva SANTOS; João Paulo PAPA. 2023. Titan: a lightweight temporal attention network for remote sensing image change detection. Ieee geoscience and remote sensing letters. V, 1-.
  5. Physical Sciences Artificial Intelligence
    Tobias Mattheus A S; Santana Marcos C S; Pires Rafael G; Lemos Junior Celso AUGUSTO; João Paulo PAPA et al. 2023. Artificial intelligence for oral cancer diagnosis: data quality and image acquiring. Oral oncology reports. V, 100078-.
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    Claudio Filipi Gonçalves Dos SANTOS; João Paulo PAPA. 2022. Avoiding overfitting: a survey on regularization methods for convolutional neural networks. Acm computing surveys. V, P-.
  7. Physical Sciences Artificial Intelligence
    Luiz Carlos Felix RIBEIRO; Rosa G H; Douglas RODRIGUES; João Paulo PAPA. 2022. Convolutional neural networks ensembles through single-iteration optimization. Soft computing. V, PP-.
  8. Physical Sciences Artificial Intelligence
    Gonzalo NÁPOLES; Isel GRAU; Leonardo CONCEPCIÓN; Lisa Koutsoviti KOUMERI; João Paulo PAPA. 2022. Modeling implicit bias with fuzzy cognitive maps. Neurocomputing. 481, 33-45.
  9. Physical Sciences Computer Networks and Communications
    Alyasseri Zaid Abdi ALKAREEM; Alomari Osama AHMAD; Makhadmeh Sharif NASER; Mirjalili SEYEDALI; Al Betar Mohammed AZMI et al. 2022. Eeg channel selection for person identification using binary grey wolf optimizer. Ieee access. V, 1-1.
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    Leandro Aparecido Passos JUNIOR; Jodas DANILO; Luiz Carlos Felix RIBEIRO; Marco Akio IKESHOJ; André Nunes De SOUZA et al. 2022. Handling imbalanced datasets through optimum-path forest. Knowledge-based systems. 242, 108445-.
  11. Physical Sciences Computer Science Applications
    Zaid Abdi Alkareem ALYASSERI; Alomari Osama AHMAD; João Paulo PAPA; Al Betar Mohammed AZMI; Karrar Hameed ABDULKAREEM et al. 2022. Eeg-based user authentication via hybrid flower pollination algorithm: a new biometric technique. Sensors. 26, PP-.
  12. Life Sciences Cell Biology
    Rishav PRAMANIK; Momojit BISWAS; Shibaprasad SEN; Luis Antônio De Souza JÚNIOR; João Paulo PAPA et al. 2022. A fuzzy distance-based ensemble of deep models for cervical cancer detection. Computer methods and programs in biomedicine. 219, 106776-.
  13. Physical Sciences Atomic and Molecular Physics, and Optics
    Roder MATEUS; De Rosa Gustavo HENRIQUE; De Albuquerque Victor Hugo C; Rossi Andre L D; João Paulo PAPA. 2022. Energy-based dropout in restricted boltzmann machines: why not go random. Ieee transactions on emerging topics in computational intelligence. 6, 1-11.
  14. Physical Sciences Biomedical Engineering
    Alanna EBIGBO; Mendel ROBERT; Markus SCHEPPACH; Probst ANDREAS; Neal SHAHIDI et al. 2022. Vessel and tissue recognition during third-space endoscopy using a deep learning algorithm. Gut. V, PP-.
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    Mattheus Augusto Siscotto TOBIAS; Bruna De Paula NOGUEIRA; Cleison Santana MARCOS; Rafael Gonçalves PIRES; João Paulo PAPA et al. 2022. Artificial intelligence for oral cancer diagnosis: what are the possibilities?. Oral oncology. 134, 106117-.
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    Leandro Aparecido Passos JUNIOR; João Paulo PAPA; Javier Del SER; Amir HUSSAIN; Ahsan ADEEL. 2022. A multimodal canonical-correlated graph neural network for energy-efficient speech enhancement. Information fusion. V, PP-.
  17. Physical Sciences Artificial Intelligence
    Lucas Pascotti VALEM; João Gabriel Camacho PRESOTTO; Samuel Felipe Dos SANTOS; Fabio Augusto FARIA; João Paulo PAPA et al. 2022. Weakly supervised learning based on hypergraph manifold ranking. Journal of visual communication and image representation. 89, 103666-.
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    Mohammad Mehedi HASS; Salman A ALQAHTANI; Abdulhameed ALELAIWI; João Paulo PAPA. 2022. Explaining covid-19 diagnosis with taylor decompositions. Neural computing & applications. V, 1-14.
  19. Physical Sciences Artificial Intelligence
    Jodas DANILO; Leandro Aparecido Passos JUNIOR; João Paulo PAPA. 2022. Pl-knn: a python-based implementation of a parameterless k-nearest neighbors classifier. Software impacts. 100459, PP-.
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    Passos Júnior Leandro APARECIDO; João Paulo PAPA; Amir HUSSAIN; Ahsan ADEEL. 2022. Canonical cortical graph neural networks and its application for speech enhancement in audio-visual hearing aids. Neurocomputing. V, PP-.
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    Mateus RODER; Passos Júnior Leandro APARECIDO; Rosa Gustavo H; Victor Hugo Costa De ALBUQUERQUE; João Paulo PAPA. 2021. Reinforcing learning in deep belief networks through nature-inspired optimization. Applied soft computing. 108, 107466-107466.
  22. Physical Sciences Engineering (miscellaneous)
    Adriana Sayuri IWASHITA; Douglas RODRIGUES; Gastaldello Danilo SINKITI; Nunes De Souza ANDRÉ; João Paulo PAPA. 2021. An incremental optimum-path forest classifier and its application to non-technical losses identification. Computers & electrical engineering. 95, 107389-.
  23. Physical Sciences Artificial Intelligence
    De Rosa Gustavo H; João Paulo PAPA. 2021. Opfython: a python implementation for optimum-path forest. Software impacts. 9, 100113-.
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    Sugi Afonso Luis CLAUDIO; Douglas RODRIGUES; João Paulo PAPA. 2021. Nature-inspired optimum-path forest. Evolutionary intelligence. V, PP-.
  25. Physical Sciences Computer Science (miscellaneous)
    De Rosa Gustavo H; João Paulo PAPA. 2021. A survey on text generation using generative adversarial networks. Pattern recognition. 119, 108098-.
  26. Life Sciences Genetics
    De Souza Luis A; Mendel ROBERT; Strasser SOPHIA; Ebigbo ALANNA; Probst ANDREAS et al. 2021. Convolutional neural networks for the evaluation of cancer in barrett's esophagus: explainable ai to lighten up the black-box. Computers in biology and medicine. 135, 104578-.
  27. Social Sciences & Humanities Linguistics and Language
    Claudio Filipi Gonçalves Dos SANTOS; Diego De Souza OLIVEIRA; Leandro Aparecido Passos JUNIOR; Rafael Gonçalves PIRES; Daniel Felipe Silva SANTOS et al. 2021. Gait recognition based on deep learning: a survey. Acm computing surveys. 55, 1-34.
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    Roder MATEUS; Rosa G; João Paulo PAPA. 2021. Neighbor-based bag-of-samplings for person identification through handwritten dynamics and convolutional neural networks. Expert systems. 39, e12891-.
  29. Life Sciences Microbiology
    Aono Alexandre H; Nagai James S; Dickel Gabriella Da S M; Marinho Rafaela C; De Oliveira Paulo E A M et al. 2021. A stomata classification and detection system in microscope images of maize cultivars. Plos one. 16, e0258679-.
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    Danilo TEDESCO; Bruno Rafael De Almeida MOREIRA; Marcelo Rodrigues Barbosa JÚNIOR; João Paulo PAPA; Rouverson Pereira Da SILVA. 2021. Predicting on multi-target regression for the yield of sweet potato by the market class of its roots upon vegetation indices. Computers and electronics in agriculture. V, PP-.
  31. Physical Sciences Artificial Intelligence
    Jodas Danilo SAMUEL; Yojo TAKASHI; Brazolin SERGIO; Del Nero Velasco GIULIANA; João Paulo PAPA. 2021. Detection of trees on street-view images using a convolutional neural network. International journal of neural systems. 32, 2150042-.
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    Guilherme Brandão MARTINS; Danillo Roberto PEREIRA; Jurandy Gomes De Almeida JUNIOR; Victor Hugo Costa De ALBUQUERQUE; João Paulo PAPA. 2020. Opfsumm: on the video summarization using optimum-path forest. Multimedia tools and applications. 79, 11195-11211.
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    Aldo CULQUICONDOR; Alexandro José BALDASSIN; Cesar Castelo FERNANDEZ; João Paulo Labegalini De CARVALHO; João Paulo PAPA. 2020. An efficient parallel implementation for training supervised optimum-path forest classifiers. Neurocomputing. 393, 259-268.
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    Luiz Carlos Felix RIBEIRO; Sugi Afonso Luis CLAUDIO; Ivan Rizzo GUILHERME; Colombo DANILO; João Paulo PAPA. 2020. Evolving neural conditional random fields for drilling report classification. Journal of petroleum science and engineering. 187, 106846-.
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    Colombo DANILO; Gilson Brito Alves LIMA; Danillo Roberto PEREIRA; João Paulo PAPA. 2020. Regression-based finite element machines for reliability modeling of downhole safety valves. Reliability engineering & system safety. 198, PP-.
  36. Physical Sciences Computer Science Applications
    Santana Marcos C S; Junior Leandro Aparecido PASSOS; Moreira Thierry P; Colombo DANILO; De Albuquerque Victor Hugo C et al. 2020. A novel siamese-based approach for scene change detection with applications to obstructed routes in hazardous environments. Ieee intelligent systems. 35, 44-53.
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    Sugi Afonso Luis CLAUDIO; Clayton Reginaldo PEREIRA; Silke Anna Theresa WEBER; Falcão A X; João Paulo PAPA. 2020. Hierarchical learning using deep optimum-path forest. Journal of visual communication and image representation. 71, 102823-.
  38. Physical Sciences Artificial Intelligence
    Douglas RODRIGUES; Victor Hugo Costa De ALBUQUERQUE; João Paulo PAPA. 2020. A multi-objective artificial butterfly optimization approach for feature selection. Applied soft computing. 94, 106442-.
  39. Physical Sciences Artificial Intelligence
    Rosa Gustavo H; João Paulo PAPA; Yang Xin SHE. 2020. A nature-inspired feature selection approach based on hypercomplex information. Applied soft computing. 94, 106453-.
  40. Life Sciences Neuroscience (miscellaneous)
    Claudio Filipi Gonçalves Dos SANTOS; Thierry Pinheiro MOREIRA; Danilo COLOMBO; João Paulo PAPA. 2020. Does removing pooling layers from convolutional neural networks improve results?. Sn computer science. 1, PP-.
  41. Physical Sciences Engineering (miscellaneous)
    Kelton Augusto Pontara Da COSTA; João Paulo PAPA; Passos Júnior Leandro APARECIDO; Colombo DANILO; Javier Del SER et al. 2020. A critical literature survey and prospects on tampering and anomaly detection in image data. Applied soft computing. 97, 106727-.
  42. Life Sciences Neuroscience (miscellaneous)
    Luis Antônio De Souza JÚNIOR; Leandro Aparecido Passos JUNIOR; Mendel ROBERT; Alanna EBIGBO; Probst ANDREAS et al. 2020. Assisting barrett's esophagus identification using endoscopic data augmentation based on generative adversarial networks. Computers in biology and medicine. 126, 104029-.
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    Alanna EBIGBO; Mendel R; Tobias RÜCKERT; Laurin SCHUSTER; Probst A et al. 2020. Endoscopic prediction of submucosal invasion in barrett?s cancer with the use of artificial intelligence: a pilot study. Endoscopy. 53, 878-883.
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    Martins Guilherme BRANDÃO; João Paulo PAPA; Adeli HOJJAT. 2020. Deep learning techniques for recommender systems based on collaborative filtering. Expert systems. 37, e12647-.
  45. Physical Sciences Computer Science (miscellaneous)
    De Souza Renato William R; De Oliveira Joao Vitor CHAVES; Passos Leandro A; Ding WEIPING; João Paulo PAPA et al. 2020. A novel approach for optimum-path forest classification using fuzzy logic. Ieee transactions on fuzzy systems. 28, 3076-3086.
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    Fernandes S E N; João Paulo PAPA. 2019. Improving optimum-path forest learning using bag-of-classifiers and confidence measures. Pattern analysis and applications. 22, 703-716.
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    Gustavo Botelho De SOUZA; Daniel Felipe Silva SANTOS; Rafael Gonçalves PIRES; Aparecido Nilceu MARANA; João Paulo PAPA. 2019. Deep features extraction for robust fingerprint spoofing attack detection. Journal of artificial intelligence and soft computing research. 9, 41-49.
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    Pereira CLAYTON; Pereira Danillo R; Silke Anna Theresa WEBER; Hook CHRISTIAN; Victor Hugo Costa De ALBUQUERQUE et al. 2019. A survey on computer-assisted parkinson's disease diagnosis. Artificial intelligence in medicine. 95, 48-63.
  49. Physical Sciences Artificial Intelligence
    Zaid ALYASSERI; Ahamad KHADER; Mohammed Al BETAR; João Paulo PAPA; Osama Al OMARI et al. 2019. Classification of eeg mental tasks using multi-objective flower pollination algorithm for person identification. International journal of integrated engineering. 10, 102-116.
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    Parham KHOJASTEH; Leandro Aparecido Passos JUNIOR; Tiago José CARVALHO; Rezende Edmar R S; Behzad ALIAHMAD et al. 2019. Exudate detection in fundus images using deeply-learnable features. Computers in biology and medicine. 104, 62-69.
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    Zaid Abdi Alkareem ALYASSERI; Ahamad Tajudin KHADER; Mohammed Azmi Al BETAR; João Paulo PAPA; Osama Ahmad ALOMARI. 2019. Eeg features extraction for person identification using wavelet decomposition and multi-objective flower pollination algorithm. Ieee access. 6, 76007-76024.
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    Botelho De Souza GUSTAVO; João Paulo PAPA; Marana A N. 2019. Deep discriminative restricted boltzmann machine (ddrbm) for robust face spoofing detection. Progress in computer human interaction. 1, 1-9.
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    Adriana Sayuri IWASHITA; João Paulo PAPA. 2019. An overview on concept drift learning. Ieee access. 7, 1532-1547.
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    Afonso Luis C S; Rosa Gustavo H; Pereira Clayton R; Weber Silke A T; Hook CHRISTIAN et al. 2019. A recurrence plot-based approach for parkinson?s disease identification. Future generation computer systems. 94, 282-292.
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    Luis Antônio De Souza JÚNIOR; Afonso LUIS; Alanna EBIGBO; Andreas PROBST; Helmut MESSMANN et al. 2019. Learning visual representations with optimum-path forest and its applications to barrett?s esophagus and adenocarcinoma diagnosis. Neural computing & applications. 759-775.
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    Adriana Sayuri IWASHITA; Victor Hugo Costa De ALBUQUERQUE; João Paulo PAPA. 2019. Learning concept drift with ensembles of optimum-path forest-based classifiers. Future generation computer systems. 95, 198-211.
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    Kelton Augusto Pontara Da COSTA; João Paulo PAPA; Celso De Oliveira LISBOA; Roberto MUNOZ; Victor Hugo Costa De ALBUQUERQUE. 2019. Internet of things: a survey on machine learning-based intrusion detection approaches. Computer networks. 151, 147-157.
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    Leandro Aparecido Passos JUNIOR; Luis Antônio De Souza JÚNIOR; Robert MENDEL; Alanna EBIGBO; Andreas PROBST et al. 2019. Barrett's esophagus analysis using infinity restricted boltzmann machines. Journal of visual communication and image representation. 59, 475-485.
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    Luis Alexandre Da SILVA; Kelton Augusto Pontara Da COSTA; João Paulo PAPA; Rosa G; Victor Hugo Costa De ALBUQUERQUE. 2019. Fine-tuning restricted boltzmann machines using quaternions and its application for spam detection. Iet networks. 8, 164-168.
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    Rosa Gustavo H; João Paulo PAPA. 2019. Soft-tempering deep belief networks parameters through genetic programming. Journal of artificial intelligence and systems. 1, 43-53.
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    Willian Paraguassu AMORIM; Everton Castelão TETILA; Hemerson PISTORI; João Paulo PAPA. 2019. Semi-supervised learning with convolutional neural networks for uav images automatic recognition. Computers and electronics in agriculture. 164, 1-9.
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    Amorim Willian P; Rosa Gustavo H; Rogério THOMAZELLA; José Eduardo Cogo CASTANHO; Fabio DOTTO et al. 2019. Semi-supervised learning with connectivity-driven convolutional neural networks. Pattern recognition letters. 128, 16-22.
  63. Health Sciences Medicine (miscellaneous)
    Alanna EBIGBO; Robert MENDEL; Andreas PROBST; Johannes MANZENEDER; Friederike PRINZ et al. 2019. Real-time use of artificial intelligence in the evaluation of cancer in barrett?s oesophagus. Gut. gutjnl-2019-31-.
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    Luiz Carlos Felix RIBEIRO; Afonso Luis Claudio SUGI; João Paulo PAPA. 2019. Bag of samplings for computer-assisted parkinson's disease diagnosis based on recurrent neural networks. Computers in biology and medicine. 115, PP-.
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    Rosa Gustavo H; Jose Remo Ferreira BREGA; João Paulo PAPA. 2019. How optimizing perplexity can affect the dimensionality reduction on word embeddings visualization. Sn applied sciences. 1, 1-17.
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    Ebigbo ALANNA; Palm CHRISTOPH; Probst ANDREAS; Mendel ROBERT; Manzeneder JOHANNES et al. 2019. A technical review of artificial intelligence as applied to gastrointestinal endoscopy: clarifying the terminology. Endoscopy international open. 07, E1616-E1623.
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    Pereira Danilo R; Piteri Marco ANTONIO; Souza André N; João Paulo PAPA; Adeli HOJJAT. 2019. Fema: a finite element machine for fast learning. Neural computing & applications. 32, 6393-6404.
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    Passos Leandro APARECIDO; João Paulo PAPA. 2019. A metaheuristic-driven approach to fine-tune deep boltzmann machines. Applied soft computing. 97, 105717-.
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    Rosa G; João Paulo PAPA; Yang Xin SHE. 2018. Handling dropout probability estimation in convolution neural networks using meta-heuristics. Soft computing. 22, 6147-6156.
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    Danillo Roberto PEREIRA; João Paulo PAPA; Gustavo Francisco Rosalin SARAIVA; Gustavo Maia SOUZA. 2018. Automatic classification of plant electrophysiological responses to environmental stimuli using machine learning and interval arithmetic. Computers and electronics in agriculture. 145, 35-42.
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    Luis Antônio De Souza JÚNIOR; Christoph PALM; Robert MENDEL; Hook CHRISTIAN; Alanna EBIGBO et al. 2018. A survey on barrett's esophagus analysis using machine learning. Computers in biology and medicine. 96, 203-213.
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    Fernandes Silas Evandro NACHIF; Danillo Roberto PEREIRA; Oba Ramos Caio CÉSAR; Gastaldello Danillo S; André Nunes De SOUZA et al. 2018. A probabilistic optimum-path forest classifier for non-technical losses detection. Ieee transactions on smart grid. 10, 3226-3235.
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    Clayton Reginaldo PEREIRA; Danillo Roberto PEREIRA; Rosa Gustavo H; Victor Hugo Costa De ALBUQUERQUE; Silke Anna Theresa WEBER et al. 2018. Handwritten dynamics assessment through convolutional neural networks: an application to parkinson's disease identification. Artificial intelligence in medicine. 67-77.
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    Luiz SOUZA; Maurício Pamplona SEGUNDO; Luciano Rebouças De OLIVEIRA; João Paulo PAPA. 2018. How far did we get in face spoofing detection?. Engineering applications of artificial intelligence. 72, 368-381.
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    Afonso Luis Claudio SUGI; Mateus BASSO; Michelle Chaves KURODA; Vidal A C; João Paulo PAPA. 2018. A fast approach for unsupervised karst feature identification using gpu. Computers & geosciences. 119, 1-8.
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    Willian Paraguassu AMORIM; Falcão A X; João Paulo PAPA. 2018. Multi-label semi-supervised classification through optimum-path forest. Information sciences. 465, 86-104.
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    Ranieri Rocha GUIMARÃES; Leandro Aparecido Passos JUNIOR; Raimir Holanda FILHO; João Paulo PAPA. 2018. Intelligent network security monitoring based on optimum-path forest clustering. Ieee network. 33, 126-131.
  78. Physical Sciences Biomedical Engineering
    Alanna EBIGBO; Robert MENDEL; Andreas PROBST; Johannes MANZENEDER; Luis Antônio De Souza JÚNIOR et al. 2018. Computer-aided diagnosis using deep learning in the evaluation of early oesophageal adenocarcinoma. Gut. 68, 1143-1145.
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    João Paulo PAPA; Rosa Gustavo H; André Nunes De SOUZA; Luis Cláudio Súgi AFONSO. 2018. Feature selection through binary brain storm optimization. Computers & electrical engineering. 72, 468-481.
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    Danillo Roberto PEREIRA; Pisani R; André Nunes De SOUZA; João Paulo PAPA. 2017. An ensemble-based stacked sequential learning algorithm for remote sensing imagery classification. Ieee journal of selected topics in applied earth observations and remote sensing. 10, 1-17.
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    Guilherme Lofrano CORNETO; Francisco Assis Da SILVA; Danillo Roberto PEREIRA; Leandro Luis De ALMEIDA; Almir Olivete ARTERO et al. 2017. A new method for automatic vehicle license plate detection. Revista ieee américa latina. 15, 75-80.
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    Fernandes Silas Evandro NACHIF; André Nunes De SOUZA; Danilo S GASTALDELLO; Danillo Roberto PEREIRA; João Paulo PAPA. 2017. Pruning optimum-path forest ensembles using metaheuristic optimization for land-cover classification. International journal of remote sensing (online). 38, 5736-5762.
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    Pedro Pedrosa Rebouças FILHO; Antônio Carlos Da Silva BARROS; Geraldo L B RAMALHO; Clayton Reginaldo PEREIRA; João Paulo PAPA et al. 2017. Automated recognition of lung diseases in ct images based on the optimum-path forest classifier. Neural computing & applications. 31, 901-914.
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    Luís Augusto Martins PEREIRA; João Paulo PAPA; André L V COELHO; Clodoaldo A M LIMA; Danillo Roberto PEREIRA et al. 2017. Automatic identification of epileptic eeg signals through binary magnetic optimization algorithms. Neural computing & applications. 31, 1317-1329.
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    João Paulo PAPA; Rosa Gustavo H; Danillo Roberto PEREIRA; Yang Xin SHE. 2017. Quaternion-based deep belief networks fine-tuning. Applied soft computing. 60, 328-335.
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    Eduardo Massato KAKIHATA; Helton Molina SAPIA; Ronaldo Toshiaki OIAKAWA; Danillo Roberto PEREIRA; João Paulo PAPA et al. 2017. Intrusion detection system based on flows using machine learning algorithms. Ieee latin america transactions. 15, 1988-1993.
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    Passos Júnior Leandro APARECIDO; João Paulo PAPA. 2017. Temperature-based deep boltzmann machines. Neural processing letters. 48, 95-107.
  88. Physical Sciences Computer Science (miscellaneous)
    João Paulo PAPA; Rosa Gustavo H; Papa L P. 2017. A binary-constrained geometric semantic genetic programming for feature selection purposes. Pattern recognition letters. 100, 59-66.
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    Douglas RODRIGUES; João Paulo PAPA; Hojjat ADELI. 2017. Meta-heuristic multi- and many-objective optimization techniques for solution of machine learning problems. Expert systems (online). 34, 1-12.
  90. Physical Sciences Computer Science Applications
    Gustavo Botelho De SOUZA; Daniel Felipe Silva SANTOS; Pires Rafael G; Aparecido Nilceu MARANA; João Paulo PAPA. 2017. Deep texture features for robust face spoofing detection. Ieee transactions on circuits and systems ii: express briefs. 64, 1397-1401.
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    Botelho De Souza GUSTAVO; Nilceu Marana APARECIDO; João Paulo PAPA. 2017. Detecção de spoofing facial: uma abordagem baseada nas máquinas de boltzmann restritas. Revista eletrônica paulista de matemática. 10, 158-166.
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    Danillo Roberto PEREIRA; Mario PAZOTI; Luís Augusto Martins PEREIRA; Rodrigues DOUGLAS; Ramos Caio C O et al. 2016. Social-spider optimization-based support vector machines applied for energy theft detection. Computers & electrical engineering. 49, 25-38.
  93. Physical Sciences Artificial Intelligence
    Daniel OSAKU; Danillo Roberto PEREIRA; Alexandre Luís Magalhães LEVADA; João Paulo PAPA. 2016. Fine-tuning contextual-based optimum path forest for land cover classification. Ieee geoscience and remote sensing letters (print). 13, 735-739.
  94. Physical Sciences Artificial Intelligence
    Luis Alexandre Da SILVA; Kelton Augusto Pontara Da COSTA; Patricia Bellin RIBEIRO; Rosa Gustavo H; João Paulo PAPA. 2016. Learning spam features using restricted boltzmann machines. Iadis international journal on computer science and information systems. 11, 99-114.
  95. Physical Sciences Artificial Intelligence
    João Paulo PAPA; Papa L; Pereira Danillo ROBERTO; Pisani R. 2016. A hyper-heuristic approach for unsupervised land-cover classification. Ieee journal of selected topics in applied earth observations and remote sensing. 9, 2333-2342.
  96. Physical Sciences Chemistry (miscellaneous)
    Michelle Chaves KURODA; Alexandre Campane VIDAL; João Paulo PAPA. 2016. Analysis of porosity; stratigraphy; and structural delineation of a brazilian carbonate field by machine learning techniques: a case study. Interpretation. 4, T347-T358.
  97. Health Sciences Radiology, Nuclear Medicine and Imaging
    Oliveira Roberta B; Filho Mercedes E; Ma ZHEN; João Paulo PAPA; Pereira Aledir S et al. 2016. Computational methods for the image segmentation of pigmented skin lesions: a review. Computer methods and programs in biomedicine (print). 131, 127-141.
  98. Life Sciences Neuroscience (miscellaneous)
    Amorim Willian P; Falcão Alexandre X; João Paulo PAPA; Carvalho Marcelo H. 2016. Improving semi-supervised learning through optimum connectivity. Pattern recognition. 60, 72-85.
  99. Physical Sciences Computer Science (miscellaneous)
    Douglas RODRIGUES; Gabriel Fernando Alvarez SILVA; João Paulo PAPA; Aparecido Nilceu MARANA; Yang Xin SHE. 2016. Eeg-based person identification through binary flower pollination algorithm. Expert systems with applications. 62, 81-90.
  100. Physical Sciences Artificial Intelligence
    Roberta Barbosa OLIVEIRA; João Paulo PAPA; Pereira Aledir S; Tavares Joao Manuel R S. 2016. Computational methods for pigmented skin lesion classification in images: review and future trends. Neural computing & applications (print). 1-24.
  101. Health Sciences Radiology, Nuclear Medicine and Imaging
    Thiago M NUNES; Victor Hugo Costa De ALBUQUERQUE; Danillo Roberto PEREIRA; Eduardo José S LUZ; David MENOTTI et al. 2016. Robust automated cardiac arrhythmia detection in ecg beat signals. Neural computing & applications. 29, 679-693.
  102. Life Sciences Neuroscience (miscellaneous)
    Clayton Reginaldo PEREIRA; Danillo Roberto PEREIRA; Francisco SILVA; João P MASIEIRO; Silke Anna Theresa WEBER et al. 2016. A new computer vision-based approach to aid the diagnosis of parkinson's disease. Computer methods and programs in biomedicine (print). 79-88.
  103. Physical Sciences Computer Science (miscellaneous)
    Kelton Augusto Pontara Da COSTA; Luis Alexandre Da SILVA; Guilherme Brandão MARTINS; Rosa Gustavo H; Rafael Gonçalves PIRES et al. 2016. On the evaluation of restricted boltzmann machines for malware identification. International journal of information security science. 5, 69-81.
  104. Physical Sciences Artificial Intelligence
    Hjalmar K TURESSON; Sidarta RIBEIRO; Danillo Roberto PEREIRA; João Paulo PAPA; Victor Hugo Costa De ALBUQUERQUE. 2016. Machine learning algorithms for automatic classification of marmoset vocalizations. Plos one. 11, 1-14.
  105. Physical Sciences Computer Science Applications
    Passos Júnior Leandro APARECIDO; Oba Ramos Caio CÉSAR; Rodrigues DOUGLAS; Pereira Danillo ROBERTO; De Souza André NUNES et al. 2016. Unsupervised non-technical losses identification through optimum-path forest. Electric power systems research (print). 140, 413-423.
  106. Physical Sciences Computer Science Applications
    A Silva LUIS; A P Costa KELTON; B Ribeiro PATRICIA; Fernandes DHENY; João Paulo PAPA. 2016. On the feasibility of optimum-path forest in the context of internet-of-things-based applications. Recent patents on signal processing. 5, 52-60.
  107. Physical Sciences Artificial Intelligence
    João Paulo PAPA; Fernandes Silas Evandro NACHIF; Falcão Alexandre XAVIER. 2016. Optimum-path forest based on k-connectivity: theory and applications. Pattern recognition letters. 87, 117-126.
  108. Physical Sciences Computer Networks and Communications
    Gomes Samuel L; Rebouças Elizângela De S; Neto Edson CAVALCANTI; João Paulo PAPA; Albuquerque Victor H C DE et al. 2016. Embedded real-time speed limit sign recognition using image processing and machine learning techniques. Neural computing & applications (print). P, 1-12.
  109. Physical Sciences Computer Science (miscellaneous)
    Ramos Caio C O; Rodrigues DOUGLAS; De Souza Andre N; João Paulo PAPA. 2016. On the study of commercial losses in brazil: a binary black hole algorithm for theft characterization. Ieee transactions on smart grid. 9, 1-1.
  110. Physical Sciences Artificial Intelligence
    Pereira Danillo ROBERTO; João Paulo PAPA. 2016. A new approach to contextual learning using interval arithmetic and its applications for land-use classification. Pattern recognition letters. 83, 188-194.
  111. Physical Sciences Artificial Intelligence
    Leandro Aparecido Passos JUNIOR; Kelton Augusto Pontara Da COSTA; Gustavo Henrique De ROSA; João Paulo PAPA. 2015. Obtenção de neurônios de redes neurais de base radial via agrupamento de dados por floresta de caminhos ótimos. Interciência & sociedade - revista eletrônica. 4, 64-74.
  112. Physical Sciences Computer Science (miscellaneous)
    Costa Kelton A P; Pereira Luis A M; Rodrigo Yuji Mizobe NAKAMURA; Pereira Clayton R; João Paulo PAPA et al. 2015. A nature-inspired approach to speed up optimum-path forest clustering and its application to intrusion detection in computer networks. Information sciences. 294, 95-108.
  113. Physical Sciences Physics and Astronomy (miscellaneous)
    Danillo Roberto PEREIRA; Delpiano JOSE; João Paulo PAPA. 2015. On the optical flow model selection through metaheuristics. Eurasip journal on image and video processing (print). 2015, 1-11.
  114. Physical Sciences Biomedical Engineering
    Victor Hugo Costa De ALBUQUERQUE; Cleisson BARBOSA; Cleiton Carvalho SILVA; Elineudo MOURA; Pedro Rebouças FILHO et al. 2015. Ultrasonic sensor signals and optimum-path forest classifier for the microstructural characterization of thermally aged inconel 625 alloy. Sensors (basel). 15, 12474-12497.
  115. Physical Sciences Artificial Intelligence
    Priscila Tiemi Maeda SAITO; Willian Paraguassu AMORIM; Rodrigo Yuji Mizobe NAKAMURA; João Paulo PAPA; Pedro Jussieu De REZENDE et al. 2015. Choosing the most effective pattern classification model under learning-time constraint. Plos one. 10, 1-23.
  116. Physical Sciences Environmental Science (miscellaneous)
    Daniel OSAKU; Nakamura R; Luís Augusto Martins PEREIRA; Rodrigo José PISANI; Alexandre Luís Magalhães LEVADA et al. 2015. Improving land cover classification through contextual-based optimum-path forest. Information sciences. 324, 60-87.
  117. Physical Sciences Artificial Intelligence
    João Paulo PAPA; Rosa Gustavo H; Marana Aparecido N; Scheirer WALTER; Cox David D. 2015. Model selection for discriminative restricted boltzmann machines through meta-heuristic techniques. Journal of computational science. 9, 14-18.
  118. Physical Sciences Computer Science (miscellaneous)
    João Paulo PAPA; Scheirer WALTER; Cox David DANIEL. 2015. Fine-tuning deep belief networks using harmony search. Applied soft computing (print). 46, 875-885.
  119. Physical Sciences Artificial Intelligence
    Pires Rafael G; Pereira Danillo R; Pereira Luís A M; Mansano Alex F; João Paulo PAPA. 2015. Projections onto convex sets parameter estimation through harmony search and its application for image restoration. Natural computing. 15, 493-502.
  120. Physical Sciences Artificial Intelligence
    Rodrigo Yuji Mizobe NAKAMURA; Leila Maria Garcia FONSECA; Jefersson Alex Dos SANTOS; Ricardo Da Silva TORRES; Xin She YANG et al. 2014. Nature-inspired framework for hyperspectral band selection. Ieee transactions on geoscience and remote sensing. 52, 2126-2137.
  121. Physical Sciences Engineering (miscellaneous)
    Rodrigo José PISANI; Rodrigo Yuji Mizobe NAKAMURA; Paulina Setti RIEDEL; Célia Regina Lopes ZIMBACK; Falcão A X et al. 2014. Towards satellite-based land cover classification through optimum-path forest. Ieee transactions on geoscience and remote sensing. 52, 6075-6085.
  122. Life Sciences Ecology, Evolution, Behavior and Systematics
    Adriana Sayuri IWASHITA; João Paulo PAPA; Souza Andre N; Falcão A X; Roberto De Alencar LOTUFO et al. 2014. A path- and label-cost propagation approach to speedup the training of the optimum-path forest classifier. Pattern recognition letters. 40, 121-127.
  123. Life Sciences Neuroscience (miscellaneous)
    Thiago M NUNES; André L V COELHO; Clodoaldo A M LIMA; João Paulo PAPA; Victor Hugo Costa De ALBUQUERQUE. 2014. Eeg signal classication for epilepsy diagnosis via optimum path forest - a systematic assessment neurocomputing. Neurocomputing (amsterdam). 136, 103-123.
  124. Physical Sciences Artificial Intelligence
    Rodrigues DOUGLAS; Pereira Luís A M; Rodrigo Yuji Mizobe NAKAMURA; Costa Kelton A P; Yang Xin SHE et al. 2014. A wrapper approach for feature selection based on bat algorithm and optimum-path forest. Expert systems with applications. 41, 2250-2258.
  125. Physical Sciences Computer Science (miscellaneous)
    Kelton Augusto Pontara Da COSTA; Patricia Bellin RIBEIRO; Atair CAMARGO; Victor ROSSI; Henrique MARTINS et al. 2014. Comparison of the intelligent techniques for data mining in spam detection to computer networks. Journal of intelligent computing. 5, 28-34.
  126. Physical Sciences Computer Science (miscellaneous)
    Alex Fernandes MANSANO; Jéssica Akemi MATSUOKA; Nikolas Aleksander Da Mota ABIUZZI; Luis Cláudio Súgi AFONSO; João Paulo PAPA et al. 2014. Swarm-based descriptor combination and its application for image classification. Elcvia. electronic letters on computer vision and image analysis. 13, 13-27.
  127. Physical Sciences Computer Science (miscellaneous)
    Silke Anna Theresa WEBER; Carlos Alberto Dos Santos FILHO; Arthur Oscar SHELP; Luiz Antonio Lima REZENDE; João Paulo PAPA et al. 2014. Classification of handwriting patterns in patients with parkinson´s disease; using a biometric sensor. Global advanced research journal of medicine and medical sciences (garjmms). 11, 362-366.
  128. Life Sciences Parasitology
    Celso Tetsuo Nagase SUZUKI; Jancarlo Ferreira GOMES; Alexandre Xavier FALCÃO; João Paulo PAPA; Sumie Hoshino SHIMIZU. 2013. Automatic segmentation and classification of human intestinal parasites from microscopy images. Ieee transactions on biomedical engineering (print). 60, 803-812.
  129. Physical Sciences Computer Science (miscellaneous)
    João Paulo PAPA; Rodrigo Yuji Mizobe NAKAMURA; Victor Hugo Costa De ALBUQUERQUE; Falcão A X; João Manuel Ribeiro Da Silva TAVARES. 2013. Computer techniques towards the automatic characterization of graphite particles in metallographic images of industrial materials. Expert systems with applications. 40, 590-597.
  130. Physical Sciences Biomedical Engineering
    Thiago M NUNES; Victor Hugo Costa De ALBUQUERQUE; João Paulo PAPA; Cleiton Carvalho SILVA; Paulo G NORMANDO et al. 2013. Automatic microstructural characterization and classification using artificial intelligence techniques on ultrasound signals. Expert systems with applications. 40, 3096-3105.
  131. Life Sciences Genetics
    Eduardo José S LUZ; Thiago M NUNES; Victor Hugo Costa De ALBUQUERQUE; João Paulo PAPA; David MENOTTI. 2013. Ecg arrhythmia classification based on optimum-path forest. Expert systems with applications. 40, 3561-3573.
  132. Physical Sciences Artificial Intelligence
    Kelton Augusto Pontara Da COSTA; Clayton Reginaldo PEREIRA; Luís Augusto Martins PEREIRA; Rodrigo Yuji Mizobe NAKAMURA; João Paulo PAPA. 2013. A comparison about evolutionary algorithms for optimum-path forest clustering optimization. Journal of information assurance and security. 8, 76-85.
  133. Physical Sciences Computer Science (miscellaneous)
    Adriana Sayuri IWASHITA; João Paulo PAPA. 2013. Implementação do algoritmo de treinamento do classificador floresta de caminhos ótimos em gpu. Interciência & sociedade - revista eletrônica. 2, 36-47.
  134. Physical Sciences Artificial Intelligence
    Anderson De Rezende ROCHA; João Paulo PAPA; Luis Augusto Angelotti MEIRA. 2012. How far do we get using machine learning black-boxes?. International journal of pattern recognition and artificial intelligence. 26, 1261001-1-1261001-23.
  135. Physical Sciences Computer Science (miscellaneous)
    João Paulo PAPA; Falcão Alexandre X; De Albuquerque Victor Hugo C; Tavares João Manuel R S. 2012. Efficient supervised optimum-path forest classification for large datasets. Pattern recognition. 45, 512-520.
  136. Physical Sciences Artificial Intelligence
    Ramos Caio César OBA; André Nunes De SOUZA; Falcão A X; João Paulo PAPA. 2012. New insights on non-technical losses characterization through evolutionary-based feature selection. Ieee transactions on power delivery. 27, 140-146.
  137. Physical Sciences Artificial Intelligence
    Rodrigo MINETTO; Thiago Vallin SPINA; Alexandre Xavier FALCÃO; Neucimar Jerônimo LEITE; João Paulo PAPA et al. 2012. Iftrace: video segmentation of deformable objects using the image foresting transform. Computer vision and image understanding (online). 116, 274-291.
  138. Physical Sciences Computer Science Applications
    André Nunes De SOUZA; Pedro Da Costa JÚNIOR; Paulo Sérgio Da SILVA; Ramos Caio César OBA; João Paulo PAPA. 2012. Efficient fault location in underground distribution systems through optimum-path forest. Applied artificial intelligence. 26, 503-515.
  139. Physical Sciences Computer Science (miscellaneous)
    Clayton Reginaldo PEREIRA; Rodrigo Yuji Mizobe NAKAMURA; Kelton Augusto Pontara Da COSTA; João Paulo PAPA. 2012. An optimum-path forest framework for intrusion detection in computer networks. Engineering applications of artificial intelligence. 25, 1226-1234.
  140. Physical Sciences Artificial Intelligence
    Luís Augusto Martins PEREIRA; Rodrigo Yuji Mizobe NAKAMURA; Guilherme Sasso SOUZA; Dagoberto MARTINS; João Paulo PAPA. 2012. Aquatic weed automatic classification using machine learning techniques. Computers and electronics in agriculture. 87, 56-63.
  141. Life Sciences Molecular Biology
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  142. Physical Sciences Energy Engineering and Power Technology
    Ivan Rizzo GUILHERME; Aparecido Nilceu MARANA; João Paulo PAPA; Giovani CHIACHIA; Luis Cláudio Súgi AFONSO et al. 2011. Petroleum well drilling monitoring through cutting image analysis and artificial intelligence techniques. Engineering applications of artificial intelligence. 24, 201-207.
  143. Physical Sciences Artificial Intelligence
    Ramos Caio César OBA; André Nunes De SOUZA; Chiachia GIOVANI; Falcão A X; João Paulo PAPA. 2011. A novel algorithm for feature selection using harmony search and its application for non-technical losses. Computers & electrical engineering. 37, 886-894.
  144. Physical Sciences Electrical and Electronic Engineering
    Ramos Caio César OBA; André Nunes De SOUZA; João Paulo PAPA; Falcão A X. 2011. A new approach for nontechnical losses detection based on optimum-path forest. Ieee transactions on power systems. 26, 181-189.
  145. Physical Sciences Artificial Intelligence
    Greice Martins De FREITAS; Ana Maria Heuminski De ÁVILA; João Paulo PAPA. 2010. Transductive support vector machines applied to rainfall estimation. International journal of tomography & statistics. 13, 50-59.
  146. Physical Sciences Environmental Science (miscellaneous)
    Freitas Greice Martins DE; João Paulo PAPA; Avila Ana Maria Heuminski DE; Alexandre Xavier FALCÃO; Pinto Hilton SILVEIRA. 2010. Estimativa de ocorrência de precipitação em áreas agrícolas utilizando floresta de caminhos ótimos. Revista brasileira de meteorologia (impresso). 25, 13-23.
  147. Physical Sciences Engineering (miscellaneous)
    João Paulo PAPA; Alexandre Xavier FALCÃO; Greice Martins De FREITAS; Ana Maria Heuminski De ÁVILA. 2010. Robust pruning of training patterns for optimum-path forest classification applied to satellite-based rainfall occurrence estimation. Ieee geoscience and remote sensing letters (print). 7, 396-400.
  148. Physical Sciences Environmental Science (miscellaneous)
    Ivan Rizzo GUILHERME; Aparecido Nilceu MARANA; João Paulo PAPA; Giovani CHIACHIA; Alexandre Xavier FALCÃO et al. 2010. Fast petroleum well drilling monitoring through optimum-path forest. Journal of next generation information technology. 1, 77-85.
  149. Life Sciences Neuroscience (miscellaneous)
    Iliev Alexander I; Scordilis Michael S; João Paulo PAPA; Falcão Alexandre X. 2010. Spoken emotion recognition through optimum-path forest classification using glottal features. Computer speech & language. 24, 445-460.
  150. Physical Sciences Computer Science Applications
    João Paulo PAPA; Fonseca Leila M G; De Carvalho Lino A S. 2010. Projections onto convex sets through particle swarm optimization and its application for remote sensing image restoration. Pattern recognition letters. 31, 1876-1886.
  151. Physical Sciences Computer Science (miscellaneous)
    Ricardo Da Silva TORRES; Alexandre Xavier FALCÃO; Marcos André GONÇALVES; João Paulo PAPA; Baoping ZHANG et al. 2009. A genetic programming framework for content-based image retrieval. Pattern recognition. 42, 283-292.
  152. Physical Sciences Computer Science (miscellaneous)
    João Paulo PAPA; Falcão A X; Celso Tetsuo Nagase SUZUKI. 2009. Supervised pattern classification based on optimum-path forest. International journal of imaging systems and technology. 19, 120-131.
  153. Physical Sciences Computer Science Applications
    João Paulo PAPA; Nelson Delfino D Ávila MASCARENHAS; Leila Maria Garcia FONSECA; Kamel BENSEBAA. 2008. Convex restriction sets for cbers-2 satellite image restoration. International journal of remote sensing (print). 29, 443-458.
  154. Physical Sciences Artificial Intelligence
    André Augusto SPADOTTO; João Paulo PAPA; Ana Rita GATTO; Paula Cristina COLA; José Carlos PEREIRA et al. 2008. Denoising swallowing sound to improve the evaluator's qualitative analysis. Computers & electrical engineering. 34, 148-153.
  155. Physical Sciences Computer Science (miscellaneous)
    Montoya Zegarra Javier A; João Paulo PAPA; Leite Neucimar J; Da Silva Torres RICARDO; Falcão Alexandre X. 2008. Learning how to extract rotation-invariant and scale-invariant features from texture images. Eurasip journal on advances in signal processing. 2008, 1-16.
  1. Physical Sciences Artificial Intelligence
    Douglas RODRIGUES; Roder MATEUS; Passos Júnior Leandro APARECIDO; Rosa G H; João Paulo PAPA et al. 2023. Harmony search-based approaches for fine-tuning deep belief networks. In: Fusion of machine learning paradigms. Estados Unidos.
  2. Social Sciences & Humanities Education
    Sugi Afonso Luis CLAUDIO; Falcão A X; João Paulo PAPA. 2022. Theoretical background and related works. In: Optimum-path forest: theory; algorithms; and applications. Grã-Bretanha.
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    Falcão A X; João Paulo PAPA. 2022. Introduction. In: Optimum-path forest: theory; algorithms; and applications. Grã-Bretanha.
  4. Physical Sciences Artificial Intelligence
    Rosa G; João Paulo PAPA. 2022. Learning to weight similarity measures with siamese networks: a case study on optimum-path forest. In: Optimum-path forest: theory; algorithms; and applications. Grã-Bretanha.
  5. Life Sciences Ecology, Evolution, Behavior and Systematics
    João Paulo PAPA; Falcão A X. 2022. Future trends in optimum-path forest classification. In: Optimum-path forest: theory; algorithms; and applications. Grã-Bretanha.
  6. Physical Sciences Computer Science (miscellaneous)
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  7. Physical Sciences Computer Science Applications
    Rodrigues DOUGLAS; De Rosa Gustavo HENRIQUE; Passos Leandro APARECIDO; João Paulo PAPA. 2020. Adaptive improved flower pollination algorithm for global optimization. In: Studies in computational intelligence. Brasil.
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    Passos Júnior Leandro APARECIDO; Rosa Gustavo H; Douglas RODRIGUES; João Paulo PAPA. 2020. Fine-tuning restricted boltzmann machines using quaternion-based flower pollination algorithm. In: Nature-inspired computation and swarm intelligence: algorithms; theory and applications. Grã-Bretanha.
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    Passos Leandro APARECIDO; Rosa Gustavo Henrique DE; Rodrigues DOUGLAS; Roder MATEUS; João Paulo PAPA. 2020. On the assessment of nature-inspired meta-heuristic optimization techniques to fine-tune deep belief networks. In: Natural computing series. Cingapura.
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    Claudio Filipi Gonçalves Dos SANTOS; Leandro Aparecido Passos JUNIOR; Marcos Cleison Silva SANTANA; João Paulo PAPA. 2020. Normalizing images is good to improve computer-assisted covid-19 diagnosis. In: Data science for covid-19. Grã-Bretanha.
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    Rosa G; João Paulo PAPA; Walter SCHEIRER. 2018. Person identification using handwriting dynamics and convolutional neural networks. In: Deep learning in biometrics. Estados Unidos.
  12. Physical Sciences Computer Science (miscellaneous)
    João Paulo PAPA; De Rosa Gustavo HENRIQUE; Yang Xin SHE. 2018. On the hypercomplex-based search spaces for optimization purposes. In: Studies in computational intelligence. Brasil.
  13. Physical Sciences Artificial Intelligence
    João Paulo PAPA; Amorim Willian PARAGUASSU; Falcão Alexandre XAVIER; Tavares João Manuel R S. 2016. Recent advances on optimum-path forest for data classification: supervised; semi-supervised; and unsupervised learning. In: Handbook of pattern recognition and computer vision. Estados Unidos.
  14. Physical Sciences Artificial Intelligence
    Xin She YANG; João Paulo PAPA. 2016. Bio-inspired computation and its applications in image processing: an overview. In: Bio-inspired computation and applications in image processing. Inglaterra.
  15. Physical Sciences Artificial Intelligence
    Fernandes S E N; Setoue K K F; Hojjat ADELI; João Paulo PAPA. 2016. Fine-tuning enhanced probabilistic neural networks using metaheuristic-driven optimization. In: Bio-inspired computation and applications in image processing. Inglaterra.
  16. Social Sciences & Humanities Education
    Douglas RODRIGUES; Xin She YANG; João Paulo PAPA. 2016. Fine-tuning deep belief networks using cuckoo search. In: Bio-inspired computation and applications in image processing. Inglaterra.
  17. Physical Sciences Computer Science Applications
    Kuroda M C; Vidal A C; João Paulo PAPA. 2016. Oil reservoir quality assisted by machine learning and evolutionary computation. In: Bio-inspired computation and applications in image processing. Inglaterra.
  18. Life Sciences Neuroscience (miscellaneous)
    Pereira Clayton R; Pereira Danillo R; João Paulo PAPA; Rosa Gustavo H; Yang Xin SHE. 2016. Convolutional neural networks applied for parkinson¿s disease identification. In: Lecture notes in computer science. Brasil.
  19. Physical Sciences Computer Science (miscellaneous)
    Rodrigues DOUGLAS; Yang Xin SHE; De Souza André NUNES; João Paulo PAPA. 2015. Binary flower pollination algorithm and its application to feature selection. In: Studies in computational intelligence. Grã-Bretanha.
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    Luís Augusto Martins PEREIRA; Douglas RODRIGUES; Thiago Do Nascimento Santana De ALMEIDA; Ramos C C O; André Nunes De SOUZA et al. 2014. A binary cuckoo search and its application for feature selection. In: Studies in computational intelligence. Estados Unidos.
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  22. Health Sciences Medicine (miscellaneous)
    Nilceu APARECIDO; B ELIZABETH; João Paulo PAPA; Hofer MICHAEL; Tostes DENISE. 2011. Dental biometrics for human identification. In: Biometrics - unique and diverse applications in nature; science; and technology. Brasil.
  1. Physical Sciences Mathematics (miscellaneous)
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  2. Health Sciences Physiology (medical)
    Caio Oba RAMOS; André Nunes De SOUZA; João Paulo PAPA. 2017. Aprendizado inteligente de perdas comerciais em sistemas de energia: novas tendências e desafios na aplicação da inteligência artificial. Brasil.
  3. Physical Sciences Artificial Intelligence
    Yang Xin SHE; João Paulo PAPA. 2016. Bio-inspired computation and applications in image processing. Brasil.