| 2016 |
Trabalho em evento |
Evasão Escolar: Aplicando Mineração de Dados para Identificar Variáveis Relevantes
Bezerra CAMILA; Scholz RICARDO; Paulo Jorge Leitao ADEODATO; Lucas TARCÍSIO; Ataide ITACIRA
XXVII Simpósio Brasileiro de Informática na Educação
DOI 10.5753/cbie.sbie.2016.1096
|
PS
Computer Science Applications
|
| 2016 |
Trabalho em evento |
Polynomial approximation RAM neuron capable of handling true continuous input variables
Paulo Jorge Leitao ADEODATO; Oliveira Neto Rosalvo F
2016 International Joint Conference on Neural Networks (IJCNN)
DOI 10.1109/IJCNN.2016.7727183
ISBN 9781509006205
|
PS
Artificial Intelligence
|
| 2015 |
Capítulo de livro |
Variable Transformation for Granularity Change in Hierarchical Databases in Actual Data Mining Solutions
Paulo Jorge Leitao ADEODATO
Lecture Notes in Computer Science
DOI 10.1007/978-3-319-24834-9_18
ISBN 9783319248332
|
PS
Computer Science (miscellaneous)
|
| 2014 |
Trabalho em evento |
Continuous variables segmentation and reordering for optimal performance on binary classification tasks
Paulo Jorge Leitao ADEODATO; Salazar Domingos S P; Gallindo Lucas S; Sa Abner G; Souza Starch M
2014 International Joint Conference on Neural Networks (IJCNN)
DOI 10.1109/IJCNN.2014.6889965
ISBN 9781479914845
|
PS
Artificial Intelligence
|
| 2014 |
Trabalho em evento |
CoMoVi: a Framework for Data Transformation in Credit Behavioral Scoring Applications Using Model Driven Architecture
Rosalvo Ferreira Oliveira NETO; Paulo Jorge Leitao ADEODATO; Ana Carolina SALGADO
The Twenty-Sixth International Conference on Software Engineering and Knowledge Engineering (SEKE 2014)
ISBN 2325-9086
|
PS
Software
|
| 2014 |
Trabalho em evento |
Predição de desempenho de escolas privadas usando o ENEM como indicador de qualidade escolar
Paulo Jorge Leitao ADEODATO; Maílson Melo Dos Santos FILHO; Rodrigo Lins RODRIGUES
25º Simpósio Brasileiro de Informática na Educação (SBIE 2014)
|
PS
Computer Science Applications
|
| 2013 |
Trabalho em evento |
Evaluation of the use of computational intelligence techniques in medical claim processes of a health insurance company
Araujo FLAVIO; Moraes LAILSON; Santana ANDRE; Neto Pedro SANTOS; Paulo Jorge Leitao ADEODATO et al
2013 IEEE 26th International Symposium on ComputerBased Medical Systems (CBMS)
DOI 10.1109/CBMS.2013.6627759
ISBN 9781479910533
|
PS
Computer Science Applications
|
| 2013 |
Trabalho em evento |
A Temporal Difference GNG-Based Approach for the State Space Quantization in Reinforcement Learning Environments
Vieira Davi Carnauba De LIMA; Paulo Jorge Leitao ADEODATO; Goncalves Paulo MAURICIO
2013 IEEE 25th International Conference on Tools with Artificial Intelligence (ICTAI)
DOI 10.1109/ICTAI.2013.89
ISBN 9781479929726
|
PS
Artificial Intelligence
|
| 2013 |
Trabalho em evento |
A Temporal Difference GNG-Based Algorithm That Can Learn to Control in Reinforcement Learning Environments
Vieira Davi C L; Paulo Jorge Leitao ADEODATO; Junior Paulo M GONCALVES
2013 12th International Conference on Machine Learning and Applications (ICMLA)
DOI 10.1109/ICMLA.2013.67
ISBN 9780769551449
|
PS
Artificial Intelligence
|
| 2013 |
Artigo em periódico |
Continuous Dynamical Combination of Short and Long-Term Forecasts for Nonstationary Time Series
Salazar Domingos S P; Paulo Jorge Leitao ADEODATO; Adrian Lucena ARNAUD
IEEE Transactions on Neural Networks and Learning Systems
DOI 10.1109/tnnls.2013.2273574
ISSN 2162-237X
|
PS
Computer Science (miscellaneous)
|
| 2012 |
Trabalho em evento |
A data mining approach for preventing undergraduate students retention
Hadautho Roberto Barros Da SILVA; Paulo Jorge Leitao ADEODATO
2012 International Joint Conference on Neural Networks (IJCNN 2012 Brisbane)
DOI 10.1109/IJCNN.2012.6252437
ISBN 9781467314909
|
PS
Computer Science Applications
|
| 2012 |
Trabalho em evento |
Data transformations and seasonality adjustments improve forecasts of MLP ensembles
Salazar Domingos S P; Paulo Jorge Leitao ADEODATO; Arnaud Adrian L
2012 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)
DOI 10.1109/EAIS.2012.6232819
ISBN 9781467317276
|
PS
Artificial Intelligence
|
| 2012 |
Trabalho em evento |
Estudo Comparativo entre Proposicionalização e Mineração de Dados Multidimensional sobre um Banco de Dados Relacional
Rosalvo Ferreira Oliveira NETO; Paulo Jorge Leitao ADEODATO; Ana Carolina SALGADO; Murilo BORATTO
Simpósio Brasileiro de Banco de Dados
|
PS
Computer Science (miscellaneous)
|
| 2011 |
Trabalho em evento |
PCA and Gaussian noise in MLP neural network training improve generalization in problems with small and unbalanced data sets
Silva Icamaan B Viegas DA; Paulo Jorge Leitao ADEODATO
2011 International Joint Conference on Neural Networks (IJCNN 2011 San Jose)
DOI 10.1109/IJCNN.2011.6033567
ISBN 9781424496358
|
PS
Artificial Intelligence
|
| 2011 |
Trabalho em evento |
Predicting software defects: A cost-sensitive approach
Bezerra Miguel E R; Oliveiray Adriano L I; Paulo Jorge Leitao ADEODATO
2011 IEEE International Conference on Systems; Man and Cybernetics SMC
DOI 10.1109/ICSMC.2011.6084055
ISBN 9781457706530
|
PS
Computer Science Applications
|
| 2011 |
Artigo em periódico |
MLP ensembles improve long term prediction accuracy over single networks
Paulo Jorge Leitao ADEODATO; G C VASCONCELOS; Adrian Lucena ARNAUD; Rodrigo Carneiro Leão Vieira Da CUNHA; D S M P MONTEIRO
International Journal of Forecasting
DOI 10.1016/j.ijforecast.2009.05.029
ISSN 0169-2070
|
PS
Artificial Intelligence
|
| 2010 |
Capítulo de livro |
The Power of Sampling and Stacking for the PAKDD-2007 Cross-Selling Problem
Paulo Jorge Leitao ADEODATO; Vasconcelos Germano C; Arnaud Adrian L; Cunha Rodrigo C L V; Monteiro Domingos S M P et al
Strategic Advancements in Utilizing Data Mining and Warehousing Technologies
DOI 10.4018/978-1-60566-717-1.ch018
ISBN 9781605667171
|
SH
Management Science and Operations Research
|
| 2010 |
Livro |
Lecture Notes in Computer Science
Hutchison DAVID; Kanade TAKEO; Kittler JOSEF; Kleinberg Jon M; Mattern FRIEDEMANN et al
—
DOI 10.1007/978-3-642-14640-4
ISBN 9783642146398
|
PS
Computer Science (miscellaneous)
|
| 2010 |
Trabalho em evento |
Domain Driven Data Mining for Unavailability Estimation of Electrical Power Grids
Paulo Jorge Leitao ADEODATO; Petrônio De Luna BRAGA; Adrian Lucena ARNAUD; G C VASCONCELOS; Frederico GUEDES et al
The Twenty Third International Conference on Industrial; Engineering & Other Applications of Applied Intelligent Systems
DOI 10.1007/978-3-642-13025-0_38
|
SH
Management Science and Operations Research
|
| 2010 |
Trabalho em evento |
pRAM n-Tuple Classifier ? a New Architecture of Probabilistic RAM Neurons for Classification Problems
Paulo Jorge Leitao ADEODATO; Rosalvo Ferreira Oliveira NETO
IJCNN 2010 - International Joint Conference on Artificial Neural Networks 2010
DOI 10.1109/IJCNN.2010.5596779
ISBN 9781424469161
|
PS
Artificial Intelligence
|
| 2010 |
Trabalho em evento |
Fat Tailed Distribution of Neural Networks Forecasting
Domingos Sávio Pereira SALAZAR; Maíra De Oliveira SANTOS; Adrian Lucena ARNAUD; Paulo Jorge Leitao ADEODATO
The 2010 International Conference on Data Mining
ISBN 1601321384
|
PS
Artificial Intelligence
|
| 2010 |
Trabalho em evento |
An Approach for learning from small and unbalanced data sets using Gaussian noise during artificial neural network training
Icamaan Botelho Viegas Da SILVA; Paulo Jorge Leitao ADEODATO
The 2010 International Conference on Data Mining
ISBN 1601321384
|
PS
Artificial Intelligence
|
| 2010 |
Trabalho em evento |
Improving reinforcement learning algorithms by the use of data mining techniques for feature and action selection
Davi Carnaúba De Lima VIEIRA; Paulo Jorge Leitao ADEODATO; Paulo Maurício Gonçalves JR
2010 IEEE Conference on Systems; Man and Cybernetics (SMC2010)
DOI 10.1109/ICSMC.2010.5642280
|
PS
Artificial Intelligence
|
| 2009 |
Trabalho em evento |
The Role of Temporal Feature Extraction and Bagging of MLP Neural Networks for Solving the WCCI 2008 Ford Classification Challenge
Paulo Jorge Leitao ADEODATO; Adrian Lucena ARNAUD; G C VASCONCELOS; Rodrigo Carneiro Leão Vieira Da CUNHA; Tarcísio B GURGEL et al
International Joint Conference on Neural Networks - IJCNN 2009
DOI 10.1109/IJCNN.2009.5178965
|
PS
Artificial Intelligence
|
| 2009 |
Trabalho em evento |
A Data Mining Approach to Solve the Goal Scoring Problem
Renato Marcelino OLIVEIRA; Paulo Jorge Leitao ADEODATO; Arthur Gonçalves De CARVALHO; Icamaan Botelho Viegas Da SILVA; Christian D A DANIEL et al
International Joint Conference on Neural Networks - IJCNN 2009
DOI 10.1109/IJCNN.2009.5178616
|
PS
Artificial Intelligence
|