Matheus Prado Prandini FARIA; Etienne Silva JULIA; Henrique Coelho FERNANDES; Marcelo Zanchetta Do NASCIMENTO; Rita Maria Da Silva JULIA. 2023. Investigating the performance of optimization techniques on deep learning models to identify dota2 game events. In: International joint conference on computer vision; imaging and computer graphics theory and applications - visapp-2023. Portugal.

Matheus Prado Prandini FARIA; Etienne Silva JULIA; Marcelo Zanchetta Do NASCIMENTO; Rita Maria Da Silva JULIA. 2022. Investigating the performance of various deep neural networks-based approaches designed to identify game events in gameplay footage. In: Acm on computer graphics and interactive techniques. Canadá.

Eldane Vieira JÚNIOR; Rita Maria Da Silva JULIA; Elaine Ribeiro Faria PAIVA. 2022. Semantic-mdbscan: an approach to assign a semantic interpretation to behavior changes detected in data stream scenarios. In: 2022 19th international conference on information technology-new generations; las vegas (virtual mode). itng 2022. Estados Unidos.

Gabriel Prudêncio HADDAD; Rita Maria Da Silva JULIA; Matheus Prado Prandini FARIA. 2021. Técnicas de aprendizado por reforço aplicadas em jogos eletrônicos na plataforma geral do unity. In: Encontro nacional de inteligência artificial e computacional- eniac 2021. Brasil.

Faria Matheus Prado PRANDINI; Rita Maria Da Silva JULIA; Tomaz Lídia Bononi PAIVA. 2021. Investigating learning methods and environment representation in the construction of player agents: application on fifa game. In: Anais estendidos do simpósio brasileiro de games e entretenimento digital. Brasil.

Eldane Vieira JÚNIOR; Rita Maria Da Silva JULIA; Elaine Ribeiro De Faria PAIVA. 2020. Adapting the markov chain based algorithm m-dbscan to detect opponents´strategy changes in the dynamic scenario of a starcragt player agent. In: International conference on agents and artificial intelligence - icaart 2020. Malta.

Matheus Prado Prandini FARIA; Rita Maria Da Silva JULIA; Lídia Bonone Paiva TOMAZ. 2020. Improving fifa player agents decision-making architectures based on convolutional neural networks through evolutionary techniques. In: Brazilian conference on intelligent systems (bracis). Brasil.

Matheus Prado Prandini FARIA; Rita Maria Da Silva JULIA; Lídia Bonone Paiva TOMAZ. 2020. Improving fifa free kicks player agent performance through object detection techniques. In: Xix simpósio brasileiro de jogos e entretenimento digital (sbgames). Brasil.

Henrique De Castro NETO; Rita Maria Da Silva JULIA; Elaine Ribeiro Faria PAIVA; André Ponce De Leon Ferreira CARVALHO; Anísio Pereira Santos JUNIOR et al. 2019. Improving the aht in telecommunication companies by automatic modeling of call center service. In: 19th epia conference on artificial intelligence (epia 2019). Portugal.

Fabíola S F PEREIRA; André Carlos Ponce De Leon Ferreira De CARVALHO; Rafael Morais De ASSIS; Maxley COSTA; Elaine Ribeiro De Faria PAIVA et al. 2019. Feature-based time series classification for service request opening prediction in the telecom industry. In: 19th epia conference on artificial intelligence - epia 2019. Portugal.

Eldane Vieira JÚNIOR; Rita Maria Da Silva JULIA; Elaine Ribeiro De Faria PAIVA. 2019. Mining data stream to detect behavior change in a real-time strategy game. In: 15th international conference on machine learning and data mining - mldm 2019. Estados Unidos.

Matheus Prado Prandini FARIA; Rita Maria Da Silva JULIA; Lídia Bonone Paiva TOMAZ. 2019. Deep active imitation learning in fifa free-kicks player platforms based on raw image and object detection state representations. In: 31st international conference on tools with artificial intelligence - ictai 2019. Estados Unidos.

Matheus Prado Prandini FARIA; Rita Maria Da Silva JULIA; Lídia Bonone Paiva TOMAZ. 2019. A deep reinforcement learn-based fifa agent with naive state representations and portable connection interfaces. In: The third-second international florida artificial intelligence research society conference- flairs 2019. Estados Unidos.

Matheus Prado Prandini FARIA; Rita Maria Da Silva JULIA; Lídia Bonone Paiva TOMAZ. 2019. Evaluating the performance of the deep active imitation learning algorithm in the dynamic environment of fifa player agents. In: 18th ieee international conference on machine learning and applications - icmla 2019. Estados Unidos.

Lídia Bonone Paiva TOMAZ; Rita Maria Da Silva JULIA. 2018. Adaba: an algorithm to improve the parallel search in competitive agents. In: 2018 intelligent systems and design applications (isda 2018). Índia.

Matheus Prado Prandini FARIA; Rita Maria Da Silva JULIA; Lídia Bonone Paiva TOMAZ. 2018. Proposal of an automatic tool for evaluating the quality of decision-making on checkers player agents. In: Eniac (bracis). Brasil.

Clarimundo Machado Moraes JUNIOR; Rita Maria Da Silva JULIA; Stéphane JULIA; Luciane Fátima SILVA. 2017. A new approach to evaluate the complexity function of algorithms based on simulations of hierarchical colored petri net models. In: 14th international conference on information technology: new generations on (itng). Estados Unidos.

Lídia Bonone Paiva TOMAZ; Rita Maria Da Silva JULIA; Matheus PRANDINI. 2017. Aphid-draughts: comparing the synchronous and asynchronous parallelism approaches for the alpha-beta algorithm applied to checkers. In: In: 29th ieee international conference on tools with artificial intelligence (ictai2017); 2017. Estados Unidos.

Gabriel Machado Dos SANTOS; Rita Maria Da Silva JULIA. 2016. Go-ahead: improving prior-knowledge heuristics by using information retrieved from play-out simulations. In: The 29th international flairs conference (in cooperation with the aaai) -flairs 2016. Estados Unidos.

Gabriel Machado Dos SANTOS; Matheus Araújo AGUIAR; Rita Maria Da Silva JULIA; Marcos SAITO. 2016. Neural networks learning the concept of influence in go. In: The 29th international flairs conference (in cooperation with the aaai) - flairs 2016. Estados Unidos.

Valquíria Aparecida Rosa DUARTE; Rita Maria Da Silva JULIA. 2016. Improving netfeaturemap-based representation through frequent pattern mining in a specialized database. In: Ieee 28th international conference on tools with artificial intelligence;ictai. Estados Unidos.

Rita Maria Da Silva JULIA; Valquíria Aparecida Rosa DUARTE. 2016. Improving the state space representation through association rules. In: 15th ieee international conference on machine learning and applications. Estados Unidos.

Junior Clarimundo Machado MORAES; Rita Maria Da Silva JULIA; Julia STEPHANE. 2015. Modeling recursive search algorithms by means of hierarchical colored petri nets and cpn tools. In: 2015 12th international conference on information technology new generations (itng). Estados Unidos.

Henrique De Castro NETO; Rita Maria Da Silva JULIA. 2015. Title: ace-rl-checkers: improving automatic case elicitation through knowledge obtained by reinforcement learning in player agents. In: 2015 ieee conference on computational intelligence and games (cig). China.

Henrique De Castro NETO; Rita Maria Da Silva JULIA; Valquíria Aparecida Rosa DUARTE. 2015. Improving the accuracy of the cases in the automatic case elicitation-based hybrid agents for checkers. In: 2015- ieee ictai: 2015ieee international conference on tools with artificial intelligence (ictai). Itália.

Valquíria Aparecida Rosa DUARTE; Rita Maria Da Silva JULIA; Marcelo Keese ALBERTINI; Henrique De Castro NETO. 2015. Mp-draughts: unsupervised learning multi-agent system based on mlp and adaptive neural networks. In: 2015 ieee ictai: 2015 international conference on tools with artificial intelligence. Itália.

Eldane Vieira JÚNIOR; Rita Maria Da Silva JULIA. 2014. Btt-go:an agent for go that uses a transposition table to reduce the simulations and the supervision in the monte-carlo tree search. In: (flairs-27): the 27th international conference of the florida artificial intelligence research society. Estados Unidos.

Lídia Bonone Paiva TOMAZ; Rita Maria Da Silva JULIA; Ayres Roberto Araújo BARCELOS. 2013. Improving the accomplishement of a neural network based agent for draughts that operates in a distributed learning environment. In: Ieee iri 2013. Estados Unidos.

Matheus Araújo AGUIAR; Rita Maria Da Silva JULIA. 2013. Sdm-go: an agent for go with an improved search process based on monte-carlo tree search and sparse distributed memory. In: Ieee- cit-2013- international conference on computer and informationtechnology. Austrália.

Valquíria Aparecida Rosa DUARTE; Rita Maria Da Silva JULIA. 2012. Mp-drauhgts: ordering the search tree and re?ning the game board representation to improve a multi-agent system for draughts. In: Ictai-2012-24th ieee international conference on tools with artificial intelligence. Grécia.

Fillipe JOELSON; Rita Maria Da Silva JULIA; Ayres Roberto Araújo BARCELOS. 2012. Diagnóstico de imagens de ressonância magnética quanto a presença de esclerose múltipla por meio de redes neurais artificiais. In: Brazilian conference on intelligent system (bracis 2012) -enia. Brasil.

Ayres Roberto Araújo BARCELOS; Rita Maria Da Silva JULIA. 2011. D-visiondraughts:a draughts player neural network that learns by reinforcement in a high performance environment. In: European symposium on artificial neural networks-esann-2011. Bélgica.

Valquíria Aparecida Rosa DUARTE; Alana Otsuka BUENO; Rita Maria Da Silva JULIA. 2009. Improvement obtained by ordering the tree-search of an agent for draughts which learns by reinforcement. In: Clei-2009- xxxv conferência latino-americana de informática. Brasil.

Valquíria Aparecida Rosa DUARTE; Rita Maria Da Silva JULIA; Ayres Roberto Araújo BARCELOS. 2009. Mp-draughts: a multiagent reinforcement learning system based on mlp and kohonen-som neural networks. In: 2009 ieee international conference on systems; man; and cybernetics - smc. Estados Unidos.

Gutierrez Soares CAIXETA; Rita Maria Da Silva JULIA. 2008. A draughts learning system based on neural networks and temporal differences: the impact of an efficient tree-search algorithm. In: Sbia2008- simpósio brasileiro de inteligência artificial. Brasil.

Henrique De Castro NETO; Rita Maria Da Silva JULIA. 2007. ?ls-draughts ? a draughts learning system based on genetic algorithms; neural network and temporal differences?. In: 2007 ieee congress on evolutionary computation (cec 2007). Cingapura.

Henrique De Castro NETO; Rita Maria Da Silva JULIA. 2007. Ls-draughts- um sistema de aprendizagem para damas com geração automática de características. In: Viii congresso brasileiro de redes neurais (cbrn). Brasil.

Umberto Maia BARCELOS; Rita Maria Da Silva JULIA. 2005. Detection of telecommunication anomalies by means of a knowledge system that uses similarity search; haar wavelet and rdr as support tools. In: 12th international conference on telecommunications. África Do Sul.

Antônio Eduardo Costa PEREIRA; Juliana Lilis Da SILVA; Maruro HEMERLY; Rita Maria Da Silva JULIA. 2003. Game format for computer aided learning. In: Csitea´03 - international conference on computer science; software engineering; information technology; e-business; and applications. Brasil.

Rita Maria Da Silva JULIA; Fernanda Emília Muniz De REZENDE; Antônio Eduardo Costa PEREIRA. 2002. A hybrid krs to treat fuzzy and taxonomic knowledge. In: Es2002: the twenty-second annual international conference of the british computer society´s specialist group on artificial intelligence (sges). Inglaterra.

Cedric Luiz De CARVALHO; Antônio Eduardo Costa PEREIRA; Rita Maria Da Silva JULIA. 1999. Type inference in logic programming context. In: International conference on enterprise information systems. Portugal.

Rita Maria Da Silva JULIA; Antonio Eduardo Costa PEREIRA; Cedric Luiz De CARVALHO. 1999. Netprolog- a logic programming system for the java virtual machine. In: International conference on enterprise information system. Portugal.

Cedric Luiz De CARVALHO; Antonio Eduardo Costa PEREIRA; Rita Maria Da Silva JULIA. 1999. An intelligent control system for visual languages. In: Ieee international conference on systems; man and cybernetics. Japão.

Rita Maria Da Silva JULIA; Antonio Eduardo Costa PEREIRA; Wilmondes Manzi ARANTES; Alex Marcelo Samaniego GUILLÉN. 1998. Improving incremental construction of knowledge bases by using terminological logic resources. In: Ieee international conference on systems; man and cybernetics. Estados Unidos.

Rita Maria Da Silva JULIA; Antonio Eduardo Costa PEREIRA; Edson Angoti JUNIOR. 1997. The terminological logic as a tool for solving constraints systems. In: Ieee international conference on systems; man and cybernetics. Estados Unidos.

Stéphane JULIA; Robert VALETTE; Rita Maria Da Silva JULIA. 1995. Análise sob restrições baseadas em redes de petri de uma célula flexível de manufatura. In: Sbai. Brasil.

Rita Maria Da Silva JULIA; José Rodrigues SEABRA; Idméa Semeghini SIQUEIRA. 1995. An intelligent parser that automatically generates semantic rules during syntatic and semantic analysis. In: Ieee international conference on systems; man and cybernetics. Canadá.

Rita Maria Da Silva JULIA; Antônio Eduardo Costa PEREIRA; Márcio Andrade NETTO. 1994. Information retrieval by means of a semantic unification guided by resources of terminological logic. In: Ieee international conference on systems; man and cybernetics. Estados Unidos.

Leliane Nunes De BARROS; Rita Maria Da Silva JULIA; Carlos Roberto LOPES. 1987. A compilação como ferramenta para geração de esquemas de representação. In: Iv simpósio brasileiro de inteligência artificial. Brasil.

Rita Maria Da Silva JULIA. 1986. Prolog implementado em uma máquina lisp. In: Iii simpósio brasileiro de inteligência artificial. Brasil.

Tomaz Lidia Bononi PAIVA; Rita Maria Da Silva JULIA; Faria Matheus Prado PRANDINI. 2022. Adaba: improving the balancing between runtime and accuracy in a new distributed version of the alpha-beta algorithm. Artificial intelligence review (dordrecht. online). 1, 1-.

Neto Henrique CASTRO; Rita Maria Da Silva JULIA. 2018. Ace-rl-checkers: decision-making adaptability through integration of automatic case elicitation; reinforcement learning; and sequential pattern mining. Knowledge and information systems. 1, 1-32.

Lídia Bonone Paiva TOMAZ; Rita Maria Da Silva JULIA; Valquíria Aparecida Rosa DUARTE. 2017. A multiagent player system composed by expert agents in specific game stages operating in high performance environment. Applied intelligence (dordrecht. online). 47, 1-22.

Henrique De Castro NETO; Rita Maria Da Silva JULIA; Gutierrez Soares CAIXETA; Ayres Roberto Araújo BARCELOS. 2014. Ls-visiondraughts: improving the performance of an agent for checkers by integrating computational intelligence; reinforcement learning and a powerful search method. Applied intelligence (dordrecht. online). 1-26.

Márcio De Souza DIAS; Rita Maria Da Silva JULIA; Antonio Eduardo Costa PEREIRA. 2011. Analysis of names of organic chemical compounds by using parser combinators and the generative lexicon theory. Ijaia-international journal of artificial intelligence&appllications. 2, 71-93.

Márcio De Souza DIAS; Rita Maria Da Silva JULIA. 2007. Análise de nomes da química orgânica à luz da teoria do léxico gerativo:da análise sintático-senântica à geração das estruturas químicas através dos combinadores dde parssr. Mediação (ueg. pires do rio). 2, 11-22.

Rita Maria Da Silva JULIA; Cedric Luiz De CARVALHO; Antonio Eduardo Costa PEREIRA. 1999. Data-flow synthesis for logic programs. Systems analysis modelling simulation. 1, 349-366.

Rita Maria Da Silva JULIA; Antonio Eduardo Costa PEREIRA; Márcio Andrade NETTO. 1995. A system of knowledge representation based in formulae of predicate calculus whose variables are annotated by expressions of a fuzzy terminological logic. Lecture notes in computer science. França. 945, 409-417.

Matheus Prado Prandini FARIA; Rita Maria Da Silva JULIA; Lídia Bonone Paiva TOMAZ. 2020. Improving fifa player agents decision-making architectures based on convolutional neural networks through evolutionary techniques. In: Lecture notes in computer science - lnai. Suiça.

Henrique De Castro NETO; Rita Maria Da Silva JULIA; Gutierrez Soares CAIXETA. 2009. Ls-draughts:using databases to treat endgame loops in a hybrid evolutionary learning system. In: Theory and novel applications of machine learning. Austria.