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Trabalho de evento-anais periodico
Oxytrees: model trees for bipartite learning (2026)
Ilídio, Pedro ; Nakano, Felipe Kenji ; Gharahighehi, Alireza ; D'hondt, Robbe ; Cerri, Ricardo ; Vens, Celine
Source: Proceedings of the AAAI Conference on Artificial Intelligence. Conference titles: AAAI Conference on Artificial Intelligence - AAAI. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA
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ABNT
ILÍDIO, Pedro et al. Oxytrees: model trees for bipartite learning. Proceedings of the AAAI Conference on Artificial Intelligence. Washington: AAAI Press. Disponível em: https://doi.org/10.1609/aaai.v40i26.39367. Acesso em: 24 abr. 2026. , 2026
APA
Ilídio, P., Nakano, F. K., Gharahighehi, A., D'hondt, R., Cerri, R., & Vens, C. (2026). Oxytrees: model trees for bipartite learning. Proceedings of the AAAI Conference on Artificial Intelligence. Washington: AAAI Press. doi:10.1609/aaai.v40i26.39367
NLM
Ilídio P, Nakano FK, Gharahighehi A, D'hondt R, Cerri R, Vens C. Oxytrees: model trees for bipartite learning [Internet]. Proceedings of the AAAI Conference on Artificial Intelligence. 2026 ; 40( 26): 22119-22127.[citado 2026 abr. 24 ] Available from: https://doi.org/10.1609/aaai.v40i26.39367
Vancouver
Ilídio P, Nakano FK, Gharahighehi A, D'hondt R, Cerri R, Vens C. Oxytrees: model trees for bipartite learning [Internet]. Proceedings of the AAAI Conference on Artificial Intelligence. 2026 ; 40( 26): 22119-22127.[citado 2026 abr. 24 ] Available from: https://doi.org/10.1609/aaai.v40i26.39367
Trabalho de evento
TGRAPP: anomaly detection and visualization of large-scale call graphs (2023)
Cazzolato, Mirela Teixeira ; Vijayakumar, Saranya; Zheng, Xinyi; Park, Namyong; Lee, Meng-Chieh; Chau, Duen Horng ; Fidalgo, Pedro; Lages, Bruno; Traina, Agma Juci Machado ; Faloutsos, Christos
Source: Proceedings. Conference titles: AAAI Conference on Artificial Intelligence - AAAI. Unidade: ICMC
Subjects: RECUPERAÇÃO DA INFORMAÇÃO, VISUALIZAÇÃO
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CAZZOLATO, Mirela Teixeira et al. TGRAPP: anomaly detection and visualization of large-scale call graphs. 2023, Anais.. Washington: AAAI Press, 2023. Disponível em: https://doi.org/10.1609/aaai.v37i13.27062. Acesso em: 24 abr. 2026.
APA
Cazzolato, M. T., Vijayakumar, S., Zheng, X., Park, N., Lee, M. -C., Chau, D. H., et al. (2023). TGRAPP: anomaly detection and visualization of large-scale call graphs. In Proceedings. Washington: AAAI Press. doi:10.1609/aaai.v37i13.27062
NLM
Cazzolato MT, Vijayakumar S, Zheng X, Park N, Lee M-C, Chau DH, Fidalgo P, Lages B, Traina AJM, Faloutsos C. TGRAPP: anomaly detection and visualization of large-scale call graphs [Internet]. Proceedings. 2023 ;[citado 2026 abr. 24 ] Available from: https://doi.org/10.1609/aaai.v37i13.27062
Vancouver
Cazzolato MT, Vijayakumar S, Zheng X, Park N, Lee M-C, Chau DH, Fidalgo P, Lages B, Traina AJM, Faloutsos C. TGRAPP: anomaly detection and visualization of large-scale call graphs [Internet]. Proceedings. 2023 ;[citado 2026 abr. 24 ] Available from: https://doi.org/10.1609/aaai.v37i13.27062
Trabalho de evento-resumo periodico
Efficient predictive uncertainty estimators for deep probabilistic models (2020)
Llerena, Julissa Villanueva ; Mauá, Denis Deratani
Source: Proceddings : AAAI-20 Student Tracks. Conference titles: AAAI Conference on Artificial Intelligence - AAAI. Unidade: IME
Assunto: MODELOS PARA PROCESSOS ESTOCÁSTICOS
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LLERENA, Julissa Villanueva e MAUÁ, Denis Deratani. Efficient predictive uncertainty estimators for deep probabilistic models. Proceddings : AAAI-20 Student Tracks. Palo Alto: AAAI Press. Disponível em: https://doi.org/10.1609/aaai.v34i10.7142. Acesso em: 24 abr. 2026. , 2020
APA
Llerena, J. V., & Mauá, D. D. (2020). Efficient predictive uncertainty estimators for deep probabilistic models. Proceddings : AAAI-20 Student Tracks. Palo Alto: AAAI Press. doi:10.1609/aaai.v34i10.7142
NLM
Llerena JV, Mauá DD. Efficient predictive uncertainty estimators for deep probabilistic models [Internet]. Proceddings : AAAI-20 Student Tracks. 2020 ; 35( 100): 13740-13741.[citado 2026 abr. 24 ] Available from: https://doi.org/10.1609/aaai.v34i10.7142
Vancouver
Llerena JV, Mauá DD. Efficient predictive uncertainty estimators for deep probabilistic models [Internet]. Proceddings : AAAI-20 Student Tracks. 2020 ; 35( 100): 13740-13741.[citado 2026 abr. 24 ] Available from: https://doi.org/10.1609/aaai.v34i10.7142
Trabalho de evento-resumo
Random projections and α-shape to support the kernel design (2020)
Cestari, Daniel Moreira ; Mello, Rodrigo Fernandes de
Source: Proceedings. Conference titles: AAAI Conference on Artificial Intelligence - AAAI. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, RECONHECIMENTO DE PADRÕES
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ABNT
CESTARI, Daniel Moreira e MELLO, Rodrigo Fernandes de. Random projections and α-shape to support the kernel design. 2020, Anais.. Palo Alto: AAAI Press, 2020. Disponível em: https://doi.org/10.1609/aaai.v34i10.7211. Acesso em: 24 abr. 2026.
APA
Cestari, D. M., & Mello, R. F. de. (2020). Random projections and α-shape to support the kernel design. In Proceedings. Palo Alto: AAAI Press. doi:10.1609/aaai.v34i10.7211
NLM
Cestari DM, Mello RF de. Random projections and α-shape to support the kernel design [Internet]. Proceedings. 2020 ;[citado 2026 abr. 24 ] Available from: https://doi.org/10.1609/aaai.v34i10.7211
Vancouver
Cestari DM, Mello RF de. Random projections and α-shape to support the kernel design [Internet]. Proceedings. 2020 ;[citado 2026 abr. 24 ] Available from: https://doi.org/10.1609/aaai.v34i10.7211
Trabalho de evento
Linguistic rules for fine-grained opinion extraction (2020)
Vargas, Francielle Alves ; Pardo, Thiago Alexandre Salgueiro
Source: Proceedings. Conference titles: International AAAI Conference on Web and Social Media - ICWSM. Unidade: ICMC
Subjects: RECONHECIMENTO DE TEXTO, PROCESSAMENTO DE LINGUAGEM NATURAL, LINGUÍSTICA COMPUTACIONAL
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ABNT
VARGAS, Francielle Alves e PARDO, Thiago Alexandre Salgueiro. Linguistic rules for fine-grained opinion extraction. 2020, Anais.. Palo Alto: AAAI Press, 2020. Disponível em: https://doi.org/10.36190/2020.24. Acesso em: 24 abr. 2026.
APA
Vargas, F. A., & Pardo, T. A. S. (2020). Linguistic rules for fine-grained opinion extraction. In Proceedings. Palo Alto: AAAI Press. doi:10.36190/2020.24
NLM
Vargas FA, Pardo TAS. Linguistic rules for fine-grained opinion extraction [Internet]. Proceedings. 2020 ;[citado 2026 abr. 24 ] Available from: https://doi.org/10.36190/2020.24
Vancouver
Vargas FA, Pardo TAS. Linguistic rules for fine-grained opinion extraction [Internet]. Proceedings. 2020 ;[citado 2026 abr. 24 ] Available from: https://doi.org/10.36190/2020.24
Trabalho de evento
Evolving action abstractions for real-time planning in extensive-form games (2019)
Mariño, Julian Ricardo Hernandez ; Moraes, Rubens O; Toledo, Claudio Fabiano Motta ; Lelis, Levi H. S
Source: Proceedings. Conference titles: AAAI Conference on Artificial Intelligence. Unidade: ICMC
Subjects: JOGOS DE COMPUTADOR, TEMPO-REAL, ABSTRAÇÃO, ALGORITMOS ÚTEIS E ESPECÍFICOS
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MARIÑO, Julian Ricardo Hernandez et al. Evolving action abstractions for real-time planning in extensive-form games. 2019, Anais.. Palo Alto: AAAI Press, 2019. Disponível em: https://doi.org/10.1609/aaai.v33i01.33012330. Acesso em: 24 abr. 2026.
APA
Mariño, J. R. H., Moraes, R. O., Toledo, C. F. M., & Lelis, L. H. S. (2019). Evolving action abstractions for real-time planning in extensive-form games. In Proceedings. Palo Alto: AAAI Press. doi:10.1609/aaai.v33i01.33012330
NLM
Mariño JRH, Moraes RO, Toledo CFM, Lelis LHS. Evolving action abstractions for real-time planning in extensive-form games [Internet]. Proceedings. 2019 ;[citado 2026 abr. 24 ] Available from: https://doi.org/10.1609/aaai.v33i01.33012330
Vancouver
Mariño JRH, Moraes RO, Toledo CFM, Lelis LHS. Evolving action abstractions for real-time planning in extensive-form games [Internet]. Proceedings. 2019 ;[citado 2026 abr. 24 ] Available from: https://doi.org/10.1609/aaai.v33i01.33012330
Trabalho de evento
DyS: a framework for mixture models in quantification (2019)
Maletzke, André Gustavo; Reis, Denis dos; Cherman, Everton Alvares; Batista, Gustavo Enrique de Almeida Prado Alves
Source: Proceedings. Conference titles: AAAI Conference on Artificial Intelligence - AAAI. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MÉTODOS ESTATÍSTICOS PARA APRENDIZAGEM
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ABNT
MALETZKE, André Gustavo et al. DyS: a framework for mixture models in quantification. 2019, Anais.. Palo Alto: AAAI Press, 2019. Disponível em: https://doi.org/10.1609/aaai.v33i01.33014552. Acesso em: 24 abr. 2026.
APA
Maletzke, A. G., Reis, D. dos, Cherman, E. A., & Batista, G. E. de A. P. A. (2019). DyS: a framework for mixture models in quantification. In Proceedings. Palo Alto: AAAI Press. doi:10.1609/aaai.v33i01.33014552
NLM
Maletzke AG, Reis D dos, Cherman EA, Batista GE de APA. DyS: a framework for mixture models in quantification [Internet]. Proceedings. 2019 ;[citado 2026 abr. 24 ] Available from: https://doi.org/10.1609/aaai.v33i01.33014552
Vancouver
Maletzke AG, Reis D dos, Cherman EA, Batista GE de APA. DyS: a framework for mixture models in quantification [Internet]. Proceedings. 2019 ;[citado 2026 abr. 24 ] Available from: https://doi.org/10.1609/aaai.v33i01.33014552
Trabalho de evento
Towards belief contraction without compactness (2018)
Ribeiro, Jandson S ; Nayak, Abhaya ; Wassermann, Renata
Source: Proceedings. Conference titles: International Conference on Principles of Knowledge Representation and Reasoning - KR. Unidade: IME
Subjects: SISTEMAS BASEADOS EM CONHECIMENTO, LÓGICA
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ABNT
RIBEIRO, Jandson S e NAYAK, Abhaya e WASSERMANN, Renata. Towards belief contraction without compactness. 2018, Anais.. Palo Alto: AAAI Press, 2018. Disponível em: https://aaai.org/ocs/index.php/KR/KR18/paper/view/18060. Acesso em: 24 abr. 2026.
APA
Ribeiro, J. S., Nayak, A., & Wassermann, R. (2018). Towards belief contraction without compactness. In Proceedings. Palo Alto: AAAI Press. Recuperado de https://aaai.org/ocs/index.php/KR/KR18/paper/view/18060
NLM
Ribeiro JS, Nayak A, Wassermann R. Towards belief contraction without compactness [Internet]. Proceedings. 2018 ;[citado 2026 abr. 24 ] Available from: https://aaai.org/ocs/index.php/KR/KR18/paper/view/18060
Vancouver
Ribeiro JS, Nayak A, Wassermann R. Towards belief contraction without compactness [Internet]. Proceedings. 2018 ;[citado 2026 abr. 24 ] Available from: https://aaai.org/ocs/index.php/KR/KR18/paper/view/18060
Trabalho de evento-resumo
Two AGM-style characterizations of model repair (2018)
Guerra, Paulo T; Wassermann, Renata
Source: Proceedings. Conference titles: International Conference on Principles of Knowledge Representation and Reasoning - KR. Unidade: IME
Subjects: SISTEMAS BASEADOS EM CONHECIMENTO, REVISÃO DE CRENÇAS
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ABNT
GUERRA, Paulo T e WASSERMANN, Renata. Two AGM-style characterizations of model repair. 2018, Anais.. Palo Alto: AAAI Press, 2018. Disponível em: https://aaai.org/ocs/index.php/KR/KR18/paper/view/18042. Acesso em: 24 abr. 2026.
APA
Guerra, P. T., & Wassermann, R. (2018). Two AGM-style characterizations of model repair. In Proceedings. Palo Alto: AAAI Press. Recuperado de https://aaai.org/ocs/index.php/KR/KR18/paper/view/18042
NLM
Guerra PT, Wassermann R. Two AGM-style characterizations of model repair [Internet]. Proceedings. 2018 ;[citado 2026 abr. 24 ] Available from: https://aaai.org/ocs/index.php/KR/KR18/paper/view/18042
Vancouver
Guerra PT, Wassermann R. Two AGM-style characterizations of model repair [Internet]. Proceedings. 2018 ;[citado 2026 abr. 24 ] Available from: https://aaai.org/ocs/index.php/KR/KR18/paper/view/18042
Trabalho de evento
Stochastic density ratio estimation and its application to feature selection (2015)
Braga, Igor; Monard, Maria Carolina (Orientador) ; Vapnik, Vladimir (coorient)
Source: Proceedings. Conference titles: International Joint Conference on Artificial Intelligence - IJCAI. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL
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ABNT
BRAGA, Igor. Stochastic density ratio estimation and its application to feature selection. 2015, Anais.. Palo Alto: AAAI Press, 2015. Disponível em: http://ijcai.org/papers15/Papers/IJCAI15-620.pdf. Acesso em: 24 abr. 2026.
APA
Braga, I. (2015). Stochastic density ratio estimation and its application to feature selection. In Proceedings. Palo Alto: AAAI Press. Recuperado de http://ijcai.org/papers15/Papers/IJCAI15-620.pdf
NLM
Braga I. Stochastic density ratio estimation and its application to feature selection [Internet]. Proceedings. 2015 ;[citado 2026 abr. 24 ] Available from: http://ijcai.org/papers15/Papers/IJCAI15-620.pdf
Vancouver
Braga I. Stochastic density ratio estimation and its application to feature selection [Internet]. Proceedings. 2015 ;[citado 2026 abr. 24 ] Available from: http://ijcai.org/papers15/Papers/IJCAI15-620.pdf
Trabalho de evento
Non-Markovian logic-probabilistic modeling and inference (2015)
Morais, Eduardo Menezes de; De Bona, Glauber ; Finger, Marcelo
Source: Proceedings. Conference titles: International Joint Conference on Artificial Intelligence - IJCAI. Unidades: EP, IME
Subjects: PROBABILIDADE, PROCESSOS DE MARKOV
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ABNT
MORAIS, Eduardo Menezes de e DE BONA, Glauber e FINGER, Marcelo. Non-Markovian logic-probabilistic modeling and inference. 2015, Anais.. Palo Alto: AAAI Press, 2015. Disponível em: http://www.iiia.csic.es/wl4ai/files/wl4ai-2015-working-notes.pdf. Acesso em: 24 abr. 2026.
APA
Morais, E. M. de, De Bona, G., & Finger, M. (2015). Non-Markovian logic-probabilistic modeling and inference. In Proceedings. Palo Alto: AAAI Press. Recuperado de http://www.iiia.csic.es/wl4ai/files/wl4ai-2015-working-notes.pdf
NLM
Morais EM de, De Bona G, Finger M. Non-Markovian logic-probabilistic modeling and inference [Internet]. Proceedings. 2015 ;[citado 2026 abr. 24 ] Available from: http://www.iiia.csic.es/wl4ai/files/wl4ai-2015-working-notes.pdf
Vancouver
Morais EM de, De Bona G, Finger M. Non-Markovian logic-probabilistic modeling and inference [Internet]. Proceedings. 2015 ;[citado 2026 abr. 24 ] Available from: http://www.iiia.csic.es/wl4ai/files/wl4ai-2015-working-notes.pdf
Trabalho de evento
Bipartite graph for topic extraction (2015)
Faleiros, Thiago de Paulo; Lopes, Alneu de Andrade
Source: Proceedings. Conference titles: International Joint Conference on Artificial Intelligence - IJCAI. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS
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ABNT
FALEIROS, Thiago de Paulo e LOPES, Alneu de Andrade. Bipartite graph for topic extraction. 2015, Anais.. Palo Alto: AAAI Press, 2015. Disponível em: http://ijcai.org/papers15/Papers/IJCAI15-629.pdf. Acesso em: 24 abr. 2026.
APA
Faleiros, T. de P., & Lopes, A. de A. (2015). Bipartite graph for topic extraction. In Proceedings. Palo Alto: AAAI Press. Recuperado de http://ijcai.org/papers15/Papers/IJCAI15-629.pdf
NLM
Faleiros T de P, Lopes A de A. Bipartite graph for topic extraction [Internet]. Proceedings. 2015 ;[citado 2026 abr. 24 ] Available from: http://ijcai.org/papers15/Papers/IJCAI15-629.pdf
Vancouver
Faleiros T de P, Lopes A de A. Bipartite graph for topic extraction [Internet]. Proceedings. 2015 ;[citado 2026 abr. 24 ] Available from: http://ijcai.org/papers15/Papers/IJCAI15-629.pdf
Trabalho de evento
Feature selection for multi-label learning (2015)
Spolaôr, Newton; Monard, Maria Carolina ; Lee, Huei Diana
Source: Proceedings. Conference titles: International Joint Conference on Artificial Intelligence - IJCAI. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL
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ABNT
SPOLAÔR, Newton e MONARD, Maria Carolina e LEE, Huei Diana. Feature selection for multi-label learning. 2015, Anais.. Palo Alto: AAAI Press, 2015. Disponível em: http://ijcai.org/papers15/Papers/IJCAI15-648.pdf. Acesso em: 24 abr. 2026.
APA
Spolaôr, N., Monard, M. C., & Lee, H. D. (2015). Feature selection for multi-label learning. In Proceedings. Palo Alto: AAAI Press. Recuperado de http://ijcai.org/papers15/Papers/IJCAI15-648.pdf
NLM
Spolaôr N, Monard MC, Lee HD. Feature selection for multi-label learning [Internet]. Proceedings. 2015 ;[citado 2026 abr. 24 ] Available from: http://ijcai.org/papers15/Papers/IJCAI15-648.pdf
Vancouver
Spolaôr N, Monard MC, Lee HD. Feature selection for multi-label learning [Internet]. Proceedings. 2015 ;[citado 2026 abr. 24 ] Available from: http://ijcai.org/papers15/Papers/IJCAI15-648.pdf
Trabalho de evento
Graph construction for semi-supervised learning (2015)
Berton, Lilian; Lopes, Alneu de Andrade
Source: Proceedings. Conference titles: International Joint Conference on Artificial Intelligence - IJCAI. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL
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ABNT
BERTON, Lilian e LOPES, Alneu de Andrade. Graph construction for semi-supervised learning. 2015, Anais.. Palo Alto: AAAI Press, 2015. Disponível em: http://ijcai.org/papers15/Papers/IJCAI15-619.pdf. Acesso em: 24 abr. 2026.
APA
Berton, L., & Lopes, A. de A. (2015). Graph construction for semi-supervised learning. In Proceedings. Palo Alto: AAAI Press. Recuperado de http://ijcai.org/papers15/Papers/IJCAI15-619.pdf
NLM
Berton L, Lopes A de A. Graph construction for semi-supervised learning [Internet]. Proceedings. 2015 ;[citado 2026 abr. 24 ] Available from: http://ijcai.org/papers15/Papers/IJCAI15-619.pdf
Vancouver
Berton L, Lopes A de A. Graph construction for semi-supervised learning [Internet]. Proceedings. 2015 ;[citado 2026 abr. 24 ] Available from: http://ijcai.org/papers15/Papers/IJCAI15-619.pdf
Trabalho de evento
Batch reinforcement learning for smart home energy management (2015)
Berlink, Heider; Reali Costa, Anna Helena
Source: IJCAI 2015: proceedings. Conference titles: International Joint Conference on Artificial Intelligence. Unidade: EP
Subjects: INTELIGÊNCIA ARTIFICIAL, DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, EDIFÍCIOS INTELIGENTES
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ABNT
BERLINK, Heider e REALI COSTA, Anna Helena. Batch reinforcement learning for smart home energy management. 2015, Anais.. Palo Alto: AAAI Press, 2015. Disponível em: https://repositorio.usp.br/directbitstream/c940a9a7-e4e4-4367-8010-2648f07b8f5b/Batch_reinforcement_learning_for_smart_home_energy_management.pdf. Acesso em: 24 abr. 2026.
APA
Berlink, H., & Reali Costa, A. H. (2015). Batch reinforcement learning for smart home energy management. In IJCAI 2015: proceedings. Palo Alto: AAAI Press. Recuperado de https://repositorio.usp.br/directbitstream/c940a9a7-e4e4-4367-8010-2648f07b8f5b/Batch_reinforcement_learning_for_smart_home_energy_management.pdf
NLM
Berlink H, Reali Costa AH. Batch reinforcement learning for smart home energy management [Internet]. IJCAI 2015: proceedings. 2015 ;[citado 2026 abr. 24 ] Available from: https://repositorio.usp.br/directbitstream/c940a9a7-e4e4-4367-8010-2648f07b8f5b/Batch_reinforcement_learning_for_smart_home_energy_management.pdf
Vancouver
Berlink H, Reali Costa AH. Batch reinforcement learning for smart home energy management [Internet]. IJCAI 2015: proceedings. 2015 ;[citado 2026 abr. 24 ] Available from: https://repositorio.usp.br/directbitstream/c940a9a7-e4e4-4367-8010-2648f07b8f5b/Batch_reinforcement_learning_for_smart_home_energy_management.pdf
Trabalho de evento
Bayesian networks specified using propositional and relational constructs: combined, data, and domain complexity (2015)
Cozman, Fabio Gagliardi ; Mauá, Denis Deratani
Source: Proceedings. Conference titles: AAAI Conference on Artificial Intelligence. Unidades: EP, IME
Subjects: COMPUTABILIDADE E COMPLEXIDADE, INTELIGÊNCIA ARTIFICIAL, PROBABILIDADE APLICADA
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ABNT
COZMAN, Fabio Gagliardi e MAUÁ, Denis Deratani. Bayesian networks specified using propositional and relational constructs: combined, data, and domain complexity. 2015, Anais.. Palo Alto: AAAI Press, 2015. Disponível em: http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9312. Acesso em: 24 abr. 2026.
APA
Cozman, F. G., & Mauá, D. D. (2015). Bayesian networks specified using propositional and relational constructs: combined, data, and domain complexity. In Proceedings. Palo Alto: AAAI Press. Recuperado de http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9312
NLM
Cozman FG, Mauá DD. Bayesian networks specified using propositional and relational constructs: combined, data, and domain complexity [Internet]. Proceedings. 2015 ;[citado 2026 abr. 24 ] Available from: http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9312
Vancouver
Cozman FG, Mauá DD. Bayesian networks specified using propositional and relational constructs: combined, data, and domain complexity [Internet]. Proceedings. 2015 ;[citado 2026 abr. 24 ] Available from: http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9312
Trabalho de evento
Gesture unit segmentation using spatial-temporal information and machine learning (2014)
Wagner, Priscilla Koch; Peres, Sarajane Marques ; Lima, Clodoaldo Aparecido de Moraes ; Freitas, Fernando de Almeida; Madeo, Renata Cristina Barros
Source: Proceedings. Conference titles: International Florida Artificial Intelligence Research Society Conference - FLAIRS. Unidade: EACH
Subjects: INTERAÇÃO HOMEM-MÁQUINA, ANÁLISE DO MOVIMENTO HUMANO, INTELIGÊNCIA ARTIFICIAL, GESTOS
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ABNT
WAGNER, Priscilla Koch et al. Gesture unit segmentation using spatial-temporal information and machine learning. 2014, Anais.. Palo Alto, Calif.: AAAI Press, 2014. p. 101-106. Disponível em: https://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS14/paper/view/7787/7815. Acesso em: 24 abr. 2026.
APA
Wagner, P. K., Peres, S. M., Lima, C. A. de M., Freitas, F. de A., & Madeo, R. C. B. (2014). Gesture unit segmentation using spatial-temporal information and machine learning. In Proceedings (p. 101-106). Palo Alto, Calif.: AAAI Press. Recuperado de https://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS14/paper/view/7787/7815
NLM
Wagner PK, Peres SM, Lima CA de M, Freitas F de A, Madeo RCB. Gesture unit segmentation using spatial-temporal information and machine learning [Internet]. Proceedings. 2014 ; 101-106.[citado 2026 abr. 24 ] Available from: https://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS14/paper/view/7787/7815
Vancouver
Wagner PK, Peres SM, Lima CA de M, Freitas F de A, Madeo RCB. Gesture unit segmentation using spatial-temporal information and machine learning [Internet]. Proceedings. 2014 ; 101-106.[citado 2026 abr. 24 ] Available from: https://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS14/paper/view/7787/7815
Trabalho de evento
Grammatical facial expressions recognition with machine learning (2014)
Freitas, Fernando de Almeida; Peres, Sarajane Marques ; Lima, Clodoaldo Aparecido de Moraes ; Barbosa, Felipe Venâncio
Source: Proceedings. Conference titles: International Florida Artificial Intelligence Research Society Conference - FLAIRS. Unidade: EACH
Subjects: INTERAÇÃO HOMEM-MÁQUINA, ANÁLISE DO MOVIMENTO HUMANO, LÍNGUA BRASILEIRA DE SINAIS, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FREITAS, Fernando de Almeida et al. Grammatical facial expressions recognition with machine learning. 2014, Anais.. Palo Alto, Calif: AAAI Press, 2014. p. 180-185. Disponível em: http://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS14/paper/viewFile/7788/7821. Acesso em: 24 abr. 2026.
APA
Freitas, F. de A., Peres, S. M., Lima, C. A. de M., & Barbosa, F. V. (2014). Grammatical facial expressions recognition with machine learning. In Proceedings (p. 180-185). Palo Alto, Calif: AAAI Press. Recuperado de http://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS14/paper/viewFile/7788/7821
NLM
Freitas F de A, Peres SM, Lima CA de M, Barbosa FV. Grammatical facial expressions recognition with machine learning [Internet]. Proceedings. 2014 ; 180-185.[citado 2026 abr. 24 ] Available from: http://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS14/paper/viewFile/7788/7821
Vancouver
Freitas F de A, Peres SM, Lima CA de M, Barbosa FV. Grammatical facial expressions recognition with machine learning [Internet]. Proceedings. 2014 ; 180-185.[citado 2026 abr. 24 ] Available from: http://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS14/paper/viewFile/7788/7821
Trabalho de evento
Data mining a trillion time series subsequences under dynamic time warping (2013)
Rakthanmanon, Thanawin; Campana, Bilson; Mueen, Abdullah; Batista, Gustavo Enrique de Almeida Prado Alves; Westover, Brandon; Qiang, Zhu; Zakaria, Jesin; Keogh, Eamonn
Source: Proceedings. Conference titles: International Joint Conference on Artificial Intelligence - IJCAI. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAKTHANMANON, Thanawin et al. Data mining a trillion time series subsequences under dynamic time warping. 2013, Anais.. Menlo Park: AAAI Press, 2013. Disponível em: http://ijcai.org/papers13/Papers/IJCAI13-454.pdf. Acesso em: 24 abr. 2026.
APA
Rakthanmanon, T., Campana, B., Mueen, A., Batista, G. E. de A. P. A., Westover, B., Qiang, Z., et al. (2013). Data mining a trillion time series subsequences under dynamic time warping. In Proceedings. Menlo Park: AAAI Press. Recuperado de http://ijcai.org/papers13/Papers/IJCAI13-454.pdf
NLM
Rakthanmanon T, Campana B, Mueen A, Batista GE de APA, Westover B, Qiang Z, Zakaria J, Keogh E. Data mining a trillion time series subsequences under dynamic time warping [Internet]. Proceedings. 2013 ;[citado 2026 abr. 24 ] Available from: http://ijcai.org/papers13/Papers/IJCAI13-454.pdf
Vancouver
Rakthanmanon T, Campana B, Mueen A, Batista GE de APA, Westover B, Qiang Z, Zakaria J, Keogh E. Data mining a trillion time series subsequences under dynamic time warping [Internet]. Proceedings. 2013 ;[citado 2026 abr. 24 ] Available from: http://ijcai.org/papers13/Papers/IJCAI13-454.pdf
Trabalho de evento
Robust optimization for hybrid MDPs with state-dependent noise (2013)
Zamani, Zahra; Sanner, Scott; Delgado, Karina Valdivia ; Barros, Leliane Nunes de
Source: Proceedings. Conference titles: International Joint Conference on Artificial Intelligence - IJCAI. Unidades: EACH, IME
Subjects: PROCESSOS DE MARKOV, CONTROLE (TEORIA DE SISTEMAS E CONTROLE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ZAMANI, Zahra et al. Robust optimization for hybrid MDPs with state-dependent noise. 2013, Anais.. Palo Alto: AAAI Press, 2013. Disponível em: https://www.aaai.org/ocs/index.php/IJCAI/IJCAI13/paper/view/7005. Acesso em: 24 abr. 2026.
APA
Zamani, Z., Sanner, S., Delgado, K. V., & Barros, L. N. de. (2013). Robust optimization for hybrid MDPs with state-dependent noise. In Proceedings. Palo Alto: AAAI Press. Recuperado de https://www.aaai.org/ocs/index.php/IJCAI/IJCAI13/paper/view/7005
NLM
Zamani Z, Sanner S, Delgado KV, Barros LN de. Robust optimization for hybrid MDPs with state-dependent noise [Internet]. Proceedings. 2013 ;[citado 2026 abr. 24 ] Available from: https://www.aaai.org/ocs/index.php/IJCAI/IJCAI13/paper/view/7005
Vancouver
Zamani Z, Sanner S, Delgado KV, Barros LN de. Robust optimization for hybrid MDPs with state-dependent noise [Internet]. Proceedings. 2013 ;[citado 2026 abr. 24 ] Available from: https://www.aaai.org/ocs/index.php/IJCAI/IJCAI13/paper/view/7005

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