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Centro de Inteligência Artificial

Processo: 19/07665-4
Modalidade de apoio:Auxílio à Pesquisa - Programa eScience e Data Science - Centros de Pesquisa em Engenharia
Data de Início da vigência: 01 de agosto de 2020
Data de Término da vigência: 31 de julho de 2025
Área do conhecimento:Ciências Exatas e da Terra - Ciência da Computação
Acordo de Cooperação: IBM Brasil
Pesquisador responsável:Fabio Gagliardi Cozman
Beneficiário:Fabio Gagliardi Cozman
Instituição Sede: Centro de Inovação da USP (INOVA). Universidade de São Paulo (USP). São Paulo , SP, Brasil
Empresas Sedes:Universidade de São Paulo (USP). Centro de Inovação da USP (INOVA)
IBM Brasil - Indústria, Máquinas e Serviços Ltda
Município: São PauloRio de Janeiro
Pesquisadores principais:
( Atuais )		Antonio Mauro Saraiva ; Claudio Santos Pinhanez ; Cristina Godoy Bernardo de Oliveira ; Eduardo Aoun Tannuri ; Glauco Antonio Truzzi Arbix ; João Paulo Cândia Veiga ; José Eduardo Krieger ; Marcelo Finger ; Maria Lucia Santaella Braga ; Sandra Maria Aluísio ; Sarajane Marques Peres ; Thiago Alexandre Salgueiro Pardo ; Zhao Liang
Pesquisadores principais:
( Anteriores )		Alexandre Cláudio Botazzo Delbem
Pesquisadores associados:Alessandra Alaniz Macedo ; Alexandre Cláudio Botazzo Delbem ; Alexandre Dias Porto Chiavegatto Filho ; Alexandre Luis Moreli Rocha ; Alvaro Augusto Comin ; Ana Carolina Lorena ; Anarosa Alves Franco Brandão ; Anna Helena Reali Costa ; Ariani Di Felippo ; Arnaldo Candido Junior ; Bernardo Nunes Gonçalves ; Bruno de Carvalho Albertini ; Bruno Souza Carmo ; Carlos Dias Maciel ; Carlos Eduardo Torres Freire ; Carlos Henrique Costa Ribeiro ; Debora Pignatari Drucker ; Denis Deratani Mauá ; Diego Furtado Silva ; Diego Raphael Amancio ; Diogo Rosenthal Coutinho ; Dora Kaufman ; Ednaldo José Ferreira ; Edresson Casanova ; Edson Satoshi Gomi ; Eduardo de Senzi Zancul ; Eduardo Mario Mendiondo ; ESTHER LUNA COLOMBINI ; Evandro Eduardo Seron Ruiz ; Fátima de Lourdes dos Santos Nunes Marques ; Fernando Santos Osório ; Filippo Ghiglieno ; Geraldo Busatto Filho ; Guilherme Ary Plonski ; Hugo Tsugunobu Yoshida Yoshizaki ; Humberto Ribeiro da Rocha ; Ivandre Paraboni ; Jaime Simão Sichman ; João Luís Garcia Rosa ; João Paulo Papa ; José Paulo Molin ; José Teixeira Coelho Netto ; Juliano Souza Albuquerque Maranhão ; Júlio Cézar Estrella ; Julio Romano Meneghini ; Kazuo Nishimoto ; Kelly Rosa Braghetto ; Leliane Nunes de Barros ; Linamara Rizzo Battistella ; Lorena Guadalupe Barberia ; Luiz Otavio Murta Junior ; Marcel Simis ; Marcelo Cândido da Silva ; Marcelo Fantinato ; Maria Clara Fava ; Maria Lucia Santaella Braga ; Maria Sylvia Macchione Saes ; Mario Sergio Salerno ; Marlon Sproesser Mathias ; Miguel Arjona Ramírez ; Norton Trevisan Roman ; Osvaldo Novais de Oliveira Junior ; Oto Araújo Vale ; Patricia Angélica Alves Marques ; PAULO ANDRE LIMA DE CASTRO ; Paulo Hilário Nascimento Saldiva ; Paulo Mazzoncini de Azevedo Marques ; Paulo Pirozelli Almeida Silva ; Reinaldo Augusto da Costa Bianchi ; Renata Wassermann ; Renato Tinós ; Ricardo Marcondes Marcacini ; Rodrigo Fernandes de Mello ; Rodrigo Yoiti Tsukahara ; Roseli Aparecida Francelin Romero ; Roseli de Deus Lopes ; Rubens Beçak ; Sandro Márcio da Silva Preto ; Sarajane Marques Peres ; Sidney Evaldo Leal ; Sílvia Helena Galvão de Miranda ; Solange Oliveira Rezende ; Tereza Cristina Giannini ; Thiago Alexandre Salgueiro Pardo ; Uiara Bandineli Montedo ; Vanessa Martins do Monte
Auxílio(s) vinculado(s):24/19144-7 - Lógicas Fuzzy e Probabilísticas com Aplicações à Interpretabilidade de Redes Neurais, AP.R SPRINT
24/02783-7 - Aprendizado em Redes para Classificação de Alto Nível de Dados Sequenciais, AV.BR
Bolsa(s) vinculada(s):24/00536-2 - Processamento de sentenças exclamativas e interrogativas para o Reconhecimento Automático de Fala no português brasileiro, BP.MS
24/13270-0 - Carolina 2.0: aprimoramento e ampliação de um córpus robusto em português brasileiro contemporâneo com informações de procedência e tipologia, BP.TT
24/08441-0 - Suporte a Pesquisa em Aprendizado de Máquina Informado por Física no Centro de Inteligência Artificial, BP.TT
 + mais bolsas vinculadas 24/09131-5 - Curadoria, manutenção e aquisição de dados, e gerenciamento de banco de dados de línguas indígenas no Brasil, BP.TT
23/12775-9 - Suporte tecnológico ao Centro de Inteligência Artificial, BP.TT
23/13722-6 - Suporte a Pesquisa em Aprendizado Enriquecido por Conhecimento no Centro de Inteligência Artificial, BP.TT
23/01892-4 - O escopo da negação no português: taxonomia, sistematização e implementação, BP.DR
23/07299-3 - Desenvolvimento e implementação de portais para apoio a pesquisas dos projetos POeTiSA, TaRSila e Carolina, BP.TT
22/16374-6 - Modelos Neurais Pré-treinados para detecção de condições respiratórias por análise de áudio, BP.PD
22/15355-8 - Infraestrutura técnica para atividades de transferência de tecnologia no centro de inteligência artificial, BP.TT
23/00730-0 - Coordenação, criação, aquisição e gerenciamento de banco de dados de associações e grupos indígenas no Brasil, BP.TT
22/12747-2 - Regulação e financiamento da inteligência artificial no Brasil, BP.TT
22/06804-3 - Desenvolvimento e avaliação de um modelo de simulação para a estimação da produtividade de laranjas doces (Citrus sinensis L.), BP.DR
22/06373-2 - Centro de Inteligência Artificial, BP.TT
21/03544-8 - Gestão algorítmica do trabalho: um estudo das percepções de motoristas e entregadores sobre o trabalho em plataformas, BP.MS
21/15125-0 - Um modelo de metadados para interoperabilidade de bancos de dados de agrícolas, BP.DR
21/06783-3 - Veritas: base de dados de textos jurídicos brasileiros para processamento de linguagem natural, BP.IC
21/03117-2 - Verificação formal de redes neurais via lógica infinitamente-valorada de Lukasiewicz, BP.PD
20/02679-4 - NLPCode: aplicação de técnicas de processamento de linguagem natural para a automação da refatoração de código, BP.MS
21/02464-0 - Modelagem probabilística para tomada de decisão e predição em recursos hídricos: uma aplicação em segurança alimentar, BP.TT
20/15129-2 - Classificação de sinal EEG entre focal e não-focal por meio de aprendizado profundo, BP.DR
20/16746-5 - Physics-informed machine learning aplicado para previsões de condições metoceânicas, BP.DR
20/16661-0 - Segmentação e alinhamento de datasets para o processamento de linguagem natural, BP.TT
20/07892-8 - Planejamento de trajetória de drones para reconstrução 3D, BP.IC - menos bolsas vinculadas
Assunto(s):Representação de conhecimento  Aprendizado computacional  Processamento de linguagem natural  Inteligência artificial 
Palavra(s)-Chave do Pesquisador:Aplicações de Inteligência Artificial | Aprendizado de Máquina | Inteligência Artificial | Planejamento Automático | Processamento de Linguagem Natural | representação de conhecimento | Inteligência Artificial

Resumo

Esta proposta descreve um Centro de Pesquisa de Engenharia em Inteligência Artificial (IA) empenhado em conduzir pesquisas em tópicos centrais de IA e em aplicar técnicas de IA em áreas de aplicação selecionadas --- a saber, indústria de óleo e gás, agronegócios e saúde. O Centro também dará suporte a estudos sobre o impacto social e econômico da IA e conduzirá atividades de transferência de tecnologia e difusão do conhecimento. O Centro será construído com a convicção de que os próximos dez anos trarão avanços sem precedentes em IA, os quais dependerão da colaboração tanto entre áreas centrais da IA como destas áreas com as aplicações. O "Center for Artificial Intelligence" consistirá de dois grupos interligados de pesquisadores, ambos distribuídos na instituição anfitriã e em instituições associadas. Um grupo de pesquisadores, com significativa projeção internacional na comunidade de IA, cobrirá tópicos centrais de IA, de representação de conhecimento a aprendizado de máquina, com ênfase em processamento de texto e linguagem natural, particularmente em Português. Tendências da pesquisa internacional corrente sugerem que a próxima década testemunhará uma interação crescente entre representação de conhecimento, tomada de decisão e aprendizado de máquina; o "Center for Artificial Intelligence" focará sua atenção na combinação destas áreas da IA, já que elas não são tão intimamente conectadas quanto deveriam ser --- o Centro se posicionará como um participante fundamental na colaboração entre os principais tópicos da IA. Um segundo grupo de pesquisadores do Centro focará em três áreas de aplicação onde existe significativa experiência na instituição anfitriã: óleo e gás, agronegócio, e saúde. A conexão entre pesquisa em tópicos centrais da IA e áreas de aplicação ocorrerá em dupla direção: pesquisa em IA básica abordará problemas de grande escala nas áreas de aplicação selecionadas, e será direcionada pelos desafios nestas áreas de aplicação. Um pequeno grupo de pesquisadores da área de humanas está incluído no "Center for Artificial Intelligence" para conduzir pesquisa sobre o impacto social da IA e para identificar caminhos que garantam o uso da IA para o bem. O Coordenador de Educação e Difusão do Conhecimento organizará produção de vídeos contendo resultados de pesquisa e trabalhará através de feiras e escolas para educar o público em sentido amplo. O Coordenador de Transferência de Tecnologia trabalhará com órgãos bem estabelecidos na instituição anfitriã para fomentar iniciativas que transferirão resultados para as entidades financiadoras e para esforços de empreendedorismo. (AU)

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Publicações científicas (211)
(Referências obtidas automaticamente do Web of Science e do SciELO, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores)
VALEJO, ALAN DEMETRIUS BARIA; DE OLIVEIRA DOS SANTOS, WELLINGTON; NALDI, MURILO COELHO; ZHAO, LIANG. A review and comparative analysis of coarsening algorithms on bipartite networks. European Physical Journal-Special Topics, v. 230, n. 14-15, p. 2801-2811, . (19/09817-6, 13/07375-0, 19/07665-4, 15/50122-0, 19/14429-5)
LLERENA, JULISSA VILLANUEVA; MAUA, DENIS DERATANI. Efficient algorithms for robustness analysis of maximum a posteriori inference in selective sum-product networks. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, v. 126, p. 23-pg., . (19/07665-4)
MAUA, DENIS DERATANI; COZMAN, FABIO GAGLIARDI. Thirty years of credal networks: Specification, algorithms and complexity. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, v. 126, p. 25-pg., . (19/07665-4, 16/18841-0, 15/21880-4)
FAVA, MARIA CLARA; DA SILVA, ROBERTO FRAY; GESUALDO, GABRIELA CHIQUITO; BENSO, MARCOS ROBERTO; MENDIONDO, EDUARDO MARIO; SARAIVA, ANTONIO MAURO; BOTAZZO DELBEM, ALEXANDRE CLAUDIO; PADOVANI, CARLOS ROBERTO; IEEE. Automatic Spatial Rainfall Estimation on Limited Coverage Areas. 2021 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AGRICULTURE AND FORESTRY (IEEE METROAGRIFOR 2021), v. N/A, p. 6-pg., . (14/50848-9, 19/07665-4, 20/03029-3)
ARAUJO, ADAILTON F.; GOLO, MARCOS P. S.; MARCACINI, RICARDO M.. Opinion mining for app reviews: an analysis of textual representation and predictive models. AUTOMATED SOFTWARE ENGINEERING, v. 29, n. 1, . (19/25010-5, 19/07665-4)
COLLIRI, TIAGO; ZHAO, LIANG. Stock market trend detection and automatic decision-making through a network-based classification model. NATURAL COMPUTING, v. 20, n. 4, SI, p. 791-804, . (15/50122-0, 13/07375-0, 19/07665-4)
PEREIRA, TALITA A.; POPIM, REGINA C.; PASSOS, LEANDRO A.; PEREIRA, DANILLO R.; PEREIRA, CLAYTON R.; PAPA, JOAO P.; IEEE. ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization. 2022 29TH INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP), v. N/A, p. 4-pg., . (19/07665-4, 13/07375-0, 14/12236-1)
MORENO, FELIPE M.; SCHIAVETO NETO, LUIZ A.; COZMAN, FABIO G.; DOTTORI, MARCELO; TANNURI, EDUARDO A.; IEEE. Enhancing the Forecast of Ocean Physical Variables through Physics Informed Machine Learning in the Santos Estuary, Brazil. OCEANS 2022, v. N/A, p. 7-pg., . (19/07665-4, 20/16746-5)
GASPAR-CUNHA, ANTONIO; MONACO, FRANCISCO; SIKORA, JANUSZ; DELBEM, ALEXANDRE. Artificial intelligence in single screw polymer extrusion: Learning from computational data. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, v. 116, p. 20-pg., . (19/07665-4, 13/07375-0)
RODRIGUES, ANA CAROLINA; MARCACINI, RICARDO M.; WANI, MA; KANTARDZIC, M; PALADE, V; NEAGU, D; YANG, L; CHAN, KY. Sentence Similarity Recognition in Portuguese from Multiple Embedding Models. 2022 21ST IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, ICMLA, v. N/A, p. 6-pg., . (19/07665-4)
BISINOTTO, GUSTAVO A.; SPARANO, JOAO V.; SIMOS, ALEXANDRE N.; COZMAN, FABIO G.; FERREIRA, MARCOS D.; TANNURI, EDUARDO A.. Sea state estimation based on the motion data of a moored FPSO using neural networks: An evaluation with multiple draft conditions. OCEAN ENGINEERING, v. 276, p. 19-pg., . (19/07665-4)
ALBUQUERQUE, OTAVIO DE PAULA; FANTINATO, MARCELO; HUNG, PATRICK C. K.; PERES, SARAJANE MARQUES; IQBAL, FARKHUND; REHMAN, UMAIR; SHAH, MUHAMMAD UMAIR. Recommendations for a smart toy parental control tool. JOURNAL OF SUPERCOMPUTING, v. 78, n. 8, p. 39-pg., . (19/07665-4)
DO CARMO, PAULO; MARCACINI, RICARDO; CHEN, Y; LUDWIG, H; TU, Y; FAYYAD, U; ZHU, X; HU, X; BYNA, S; LIU, X; et al. Embedding propagation over heterogeneous event networks for link prediction. 2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), v. N/A, p. 10-pg., . (19/25010-5, 19/07665-4)
LIGABUE, PEDRO DE MORAES; FRANCO BRANDAO, ANAROSA ALVES; PERES, SARAJANE MARQUES; COZMAN, FABIO GAGLIARDI; PIROZELLI, PAULO; LI, P; YU, K; CHAWLA, N; FELDMAN, R; LI, Q; et al. BlabKG: a Knowledge Graph for the Blue Amazon. 2022 IEEE INTERNATIONAL CONFERENCE ON KNOWLEDGE GRAPH (ICKG), v. N/A, p. 8-pg., . (19/07665-4)
TINOS, RENATO; PRZEWOZNICZEK, MICHAL W.; WHITLEY, DARRELL; FIELDSEND, JE. Iterated Local Search with Perturbation based on Variables Interaction for Pseudo-Boolean Optimization. PROCEEDINGS OF THE 2022 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'22), v. N/A, p. 9-pg., . (19/07665-4)
YAN, JIANGLONG; ANGHINONI, LEANDRO; ZHU, YU-TAO; LIU, WEIGUANG; LI, GEN; ZHENG, QIUSHENG; ZHAO, LIANG. Characterizing data patterns with core-periphery network modeling. JOURNAL OF COMPUTATIONAL SCIENCE, v. 66, p. 13-pg., . (19/07665-4)
DE OLIVEIRA JUNIOR, LAERCIO; STELZER, FLORIAN; ZHAO, LIANG. Clustered and deep echo state networks for signal noise reduction. MACHINE LEARNING, v. 111, n. 8, p. 20-pg., . (15/50122-0, 19/07665-4)
ANCHIETA, RAFAEL TORRES; SALGUEIRO PARDO, THIAGO ALEXANDRE; PINHEIRO, V; GAMALLO, P; AMARO, R; SCARTON, C; BATISTA, F; SILVA, D; MAGRO, C; PINTO, H. Abstract Meaning Representation Parsing for the Brazilian Portuguese Language. COMPUTATIONAL PROCESSING OF THE PORTUGUESE LANGUAGE, PROPOR 2022, v. 13208, p. 6-pg., . (19/07665-4)
CACAO, FLAVIO NAKASATO; REALI COSTA, ANNA HELENA; UNTERSTELL, NATALIE; YONAHA, LIUCA; STEC, TACIANA; ISHISAKI, FABIO; PINHEIRO, V; GAMALLO, P; AMARO, R; SCARTON, C; et al. Tracking Environmental Policy Changes in the Brazilian Federal Official Gazette. COMPUTATIONAL PROCESSING OF THE PORTUGUESE LANGUAGE, PROPOR 2022, v. 13208, p. 11-pg., . (19/07665-4)
DELBEM, ALEXANDRE; SARAIVA, ANTONIO MAURO; LONDON, JOAO BOSCO A., JR.; FANUCCHI, RODRIGO; IEEE. Sublinear evaluation of complex networks for extensive exploration of configurations for critical scenarios and decision making. 2021 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI 2021), v. N/A, p. 6-pg., . (19/07665-4)
GASPAR-CUNHA, ANTONIO; COSTA, PAULO; MONACO, FRANCISCO; DELBEM, ALEXANDRE. Many-Objectives Optimization: A Machine Learning Approach for Reducing the Number of Objectives. MATHEMATICAL AND COMPUTATIONAL APPLICATIONS, v. 28, n. 1, p. 19-pg., . (13/07375-0, 19/07665-4)
RASERA, JULIA BOSCARIOL; DA SILVA, ROBERTO FRAY; MOURAO FILHO, FRANCISCO DE ASSIS ALVES; DELBEM, ALEXANDRE CLAUDIO BOTAZZO; SARAIVA, ANTONIO MAURO; SENTELHAS, PAULO CESAR; MARQUES, PATRICIA ANGELICA ALVES. Climate Change and Citriculture: A Bibliometric Analysis. AGRONOMY-BASEL, v. 13, n. 3, p. 22-pg., . (19/07665-4, 22/06804-3)
VENANCIO, MURILO MENDONCA; GONALVES, ROGERIO SALES; DA COSTA BIANCHI, REINALDO AUGUSTO. Terrain Identification for Humanoid Robots Applying Convolutional Neural Networks. IEEE-ASME TRANSACTIONS ON MECHATRONICS, v. 26, n. 3, p. 1433-1444, . (19/07665-4)
PAULO PIROZELLI; IGOR CÂMARA. NATURAL LANGUAGE AT A CROSSROADS: FORMAL AND PROBABILISTIC APPROACHES IN PHILOSOPHY AND COMPUTER SCIENCE. Manuscrito, v. 45, n. 2, p. 50-81, . (19/07665-4)
DE SOUZA JR, LUIS A.; PASSOS, LEANDRO A.; MENDEL, ROBERT; EBIGBO, ALANNA; PROBST, ANDREAS; MESSMANN, HELMUT; PALM, CHRISTOPH; PAPA, JOAO P.. Assisting Barrett's esophagus identification using endoscopic data augmentation based on Generative Adversarial Networks. COMPUTERS IN BIOLOGY AND MEDICINE, v. 126, . (13/07375-0, 19/07665-4, 19/08605-5, 17/04847-9, 14/12236-1)
PRZEWOZNICZEK, MICHAL W.; TINOS, RENATO; KOMARNICKI, MARCIN M.; PAQUETE, L. First Improvement Hill Climber with Linkage Learning - on Introducing Dark Gray-Box Optimization into Statistical Linkage Learning Genetic Algorithms. PROCEEDINGS OF THE 2023 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, GECCO 2023, v. N/A, p. 9-pg., . (19/07665-4, 21/09720-2)
ANGHINONI, LEANDRO; ZHU, YU-TAO; JI, DONGHONG; ZHAO, LIANG; IEEE. TransGNN: A Transductive Graph Neural Network with Graph Dynamic Embedding. 2023 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN, v. N/A, p. 8-pg., . (19/07665-4)
CARNEIRO, MURILLO G.; RAMOS, CAMILA D.; DESTRO-FILHO, JOAO-BATISTA; ZHU, YU-TAO; JI, DONGHONG; ZHAO, LIANG; IEEE. High-Level Classification for EEG Analysis. 2023 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN, v. N/A, p. 8-pg., . (19/07665-4)
BALDO JUNIOR, SERGIO; CARNEIRO, MURILLO G.; DESTRO-FILHO, JOAO-BATISTA; ZHAO, LIANG; TINOS, RENATO; IEEE. Classification of coma etiology using convolutional neural networks and long-short term memory networks. 2023 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN, v. N/A, p. 8-pg., . (19/07665-4, 21/09720-2)
SAIRE, JOSIMAR CHIRE; ZHAO, LIANG; IEEE. Complex Network-Based Data Classification Using Minimum Spanning Tree Metric and Optimization. 2023 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN, v. N/A, p. 7-pg., . (19/07665-4)
SANTOS, DANIEL F. S.; PAPA, JOAO P.. TITAN: A LighTweIght Temporal Attention Network for Remote Sensing Image Change Detection. IEEE Geoscience and Remote Sensing Letters, v. 20, p. 5-pg., . (13/07375-0, 19/07665-4)
DESUO, N. LUIZ; FOGLIATTO, MATHEUS S. S.; CAETANO, HENRIQUE O.; PEREIRA, J. BENVINDO R.; LONDON J, J. JOAO B. A.; MACIEL, CARLOS D.. A Multilayer System and Optimization Framework for Team Dispatch Towards Service Recovery. IEEE TRANSACTIONS ON RELIABILITY, v. N/A, p. 14-pg., . (19/07665-4, 21/12220-1, 14/50851-0, 18/19150-6)
BURIS, LUIZ H.; PEDRONETTE, DANIEL C. G.; PAPA, JOAO P.; ALMEIDA, JURANDY; CARNEIRO, GUSTAVO; FARIA, FABIO A.; IEEE. MIXUP-BASED DEEP METRIC LEARNING APPROACHES FOR INCOMPLETE SUPERVISION. 2022 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, v. N/A, p. 5-pg., . (18/23908-1, 14/12236-1, 19/07665-4, 21/01870-5)
SOUZA, MARTO; WASSERMANN, RENATA; XAVIER-JUNIOR, JC; RIOS, RA. Hyperintensional Models and Belief Change. INTELLIGENT SYSTEMS, PT I, v. 13653, p. 15-pg., . (19/07665-4)
MACHADO, MATEUS TARCINALLI; PARDO, THIAGO ALEXANDRE SALGUEIRO; MARIANI, J; CALZOLARI, N; BECHET, F; BLACHE, P; CHOUKRI, K; CIERI, C; DECLERCK, T; GOGGI, S; et al. Evaluating Methods for Extraction of Aspect Terms in Opinion Texts in Portuguese - the Challenges of Implicit Aspects. LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, v. N/A, p. 10-pg., . (19/07665-4)
CASANOVA, EDRESSON; CANDIDO JR, ARNALDO; FERNANDES JR, RICARDO CORSO; FINGER, MARCELO; STEFANEL GRIS, LUCAS RAFAEL; PONTI, MOACIR A.; PINTO DA SILVA, DANIEL PEIXOTO; INT SPEECH COMMUN ASSOC. Transfer Learning and Data Augmentation Techniques to the COVID-19 Identification Tasks in ComParE 2021. INTERSPEECH 2021, v. N/A, p. 5-pg., . (20/06443-5, 14/12236-1, 19/07665-4)
HERNANDES JUNIOR, PAULO R. GALEGO; SCHERER, RAFAL; JANUARIO, LUCAS B.; RODRIGUES, DOUGLAS; PAPA, JOAO P.; COSTA, KELTON A. P.; IEEE. From Network Package Flow to Images: How to Accurately Detect Anomalies in Computer Networks. 2022 29TH INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP), v. N/A, p. 4-pg., . (21/05516-1, 13/07375-0, 14/12236-1, 19/07665-4)
SANTOS, DANIEL A.; BARANAUSKAS, JOSE A.; TINOS, RENATO; IEEE. Use of Fitness Sharing in the Local Rule-Based Explanations Method. 2021 IEEE LATIN AMERICAN CONFERENCE ON COMPUTATIONAL INTELLIGENCE (LA-CCI), v. N/A, p. 6-pg., . (13/07375-0, 19/07665-4)
AFONSO, LUIS C. S.; PEREIRA, CLAYTON R.; WEBER, SILKE A. T.; HOOK, CHRISTIAN; FALCAO, ALEXANDRE X.; PAPA, JOAO P.. Hierarchical learning using deep optimum-path forest. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v. 71, p. 11-pg., . (13/07375-0, 14/12236-1, 19/07665-4)
SILVA, ISAAC J.; VILAO JUNIOR, CLAUDIO O.; COSTA, ANNA H. REALI; BIANCHI, REINALDO A. C.. Toward Robotic Cognition by Means of Decision Tree of Deep Neural Networks Applied in a Humanoid Robot. JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS, v. 32, n. 4, p. 11-pg., . (19/07665-4, 17/17291-9)
LIMA FILHO, RICARDO B.; FERNANDES, JANAYNA M.; JI, DONGHONG; ZHAO, LIANG; SABINO-SILVA, ROBINSON; CARNEIRO, MURILLO G.. High-Level Network-based Detection of Oral Cancer from ATR-FTIR Spectroscopy. 2024 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN 2024, v. N/A, p. 8-pg., . (19/07665-4)
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CANDIDO JUNIOR, ARNALDO; CASANOVA, EDRESSON; SOARES, ANDERSON; DE OLIVEIRA, FREDERICO SANTOS; OLIVEIRA, LUCAS; FERNANDES JUNIOR, RICARDO CORSO; PINTO DA SILVA, DANIEL PEIXOTO; FAYET, FERNANDO GORGULHO; CARLOTTO, BRUNO BALDISSERA; STEFANEL GRIS, LUCAS RAFAEL; et al. CORAA ASR: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese. Language Resources and Evaluation, v. N/A, p. 33-pg., . (19/07665-4)
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MARTINS, LUAN V. DE C.; JI, DONGHONG; LIANG, ZHAO. Modelling Graph Neural Network by Aggregating the Activation Maps of Self-Organizing Map. 2024 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN 2024, v. N/A, p. 6-pg., . (20/15129-2, 19/07665-4)
ALVES DE LIMA, VITOR MESAQUE; MARCACINI, RICARDO MARCONDES. Opinion Mining for App Reviews: Identifying and Prioritizing Emerging Issues for Software Maintenance and Evolution. 23TH BRAZILIAN SYMPOSIUM ON SOFTWARE QUALITY, SBQS 2024, v. N/A, p. 10-pg., . (19/07665-4)
DE ROSA, GUSTAVO H.; RODER, MATEUS; PASSOS, LEANDRO A.; PAPA, JOAO PAULO. A comprehensive study among distance measures on supervised optimum-path forest classification. APPLIED SOFT COMPUTING, v. 164, p. 10-pg., . (20/12101-0, 19/02205-5, 23/10823-6, 14/12236-1, 19/07665-4, 13/07375-0)
MORENO, F. MARINO; SASAKI, H. AKIRA UEHARA; MAKIYAMA, H. SHIGUEKI; TANNURI, E. AOUN. Vessel-Fender Contact Force Modelling for a Real-time Ship Manoeuvring Simulator. TRANSNAV-INTERNATIONAL JOURNAL ON MARINE NAVIGATION AND SAFETY OF SEA TRANSPORTATION, v. 17, n. 4, p. 8-pg., . (19/07665-4, 20/16746-5)
MORENO, FELIPE M.; TANNURI, EDUARDO A.; COZMAN, FABIO G.. AUTOMATIC CLUSTERING OF METOCEAN CONDITIONS IN THE BRAZILIAN COAST. PROCEEDINGS OF ASME 2022 41ST INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE & ARCTIC ENGINEERING, OMAE2022, VOL 5B, v. N/A, p. 9-pg., . (19/07665-4, 20/16746-5)
PASSOS, LEANDRO A.; JODAS, DANILO; COSTA, KELTON A. P.; SOUZA, LUIS A.; RODRIGUES, DOUGLAS; DEL SER, JAVIER; CAMACHO, DAVID; PAPA, JOAO PAULO. A review of deep learning-based approaches for deepfake content detection. EXPERT SYSTEMS, v. 41, n. 8, p. 34-pg., . (21/05516-1, 23/10823-6, 14/12236-1, 19/07665-4, 13/07375-0)
LAMKOWSKI, PEDRO; RODRIGUES, DOUGLAS; PASSOS, LEANDRO A.; PAPA, JOAO P.; ALMEIDA, JURANDY. Neural Architecture Search for Enhancing Action Video Recognition in Compressed Domains. 2024 31ST INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING, IWSSIP 2024, v. N/A, p. 7-pg., . (23/03726-4, 19/07665-4, 13/07375-0, 23/14427-8)
VALEJO, ALAN DEMETRIUS BARIA; FABBRI, RENATO; LOPES, ALNEU DE ANDRADE; ZHAO, LIANG; DE OLIVEIRA, MARIA CRISTINA FERREIRA. Multilevel Coarsening for Interactive Visualization of Large Bipartite Networks. FRONTIERS IN RESEARCH METRICS AND ANALYTICS, v. 7, p. 18-pg., . (19/07665-4, 19/14429-5, 15/50122-0, 17/05838-3, 18/22214-6, 13/07375-0)
GONCALVES, BERNARDO. Passed the Turing Test: Living in Turing Futures. INTELLIGENT COMPUTING, v. 3, p. 5-pg., . (19/07665-4, 19/21489-4, 22/16793-9)
PIRES, RAFAEL GONCALVES; PEREIRA, CLAYTON REGINALDO; PENEDO, TIAGO; PAPA, JOAO PAULO; RODER, MATEUS; BARBIERI, FABIO AUGUSTO. Assessing Levodopa Effectiveness in Parkison's Disease During Gait Using Electroencephalogram and Machine Learning. 2024 31ST INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING, IWSSIP 2024, v. N/A, p. 5-pg., . (18/03448-6, 17/19516-8, 22/02971-2, 23/14427-8, 19/07665-4, 13/07375-0)
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MORAES, LEONARDO; MARCACINI, RICARDO MARCONDES; GOULARTE, RUDINEI. Video Summarization using Text Subjectivity Classification. PROCEEDINGS OF THE 28TH BRAZILIAN SYMPOSIUM ON MULTIMEDIA AND THE WEB, WEBMEDIA 2022, v. N/A, p. 9-pg., . (19/07665-4)
NASCIMENTO ROCHA, VICTOR HUGO; SILVEIRA, IGOR CATANEO; PIROZELLI, PAULO; MAUA, DENIS DERATANI; COZMAN, FABIO GAGLIARDI. Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks. PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2023, PT I, v. 14115, p. 13-pg., . (19/07665-4, 22/02937-9, 19/26762-0)
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RUSCHEL, ANDREY; GUSMAO, ARTHUR COLOMBINI; COZMAN, FABIO GAGLIARDI. Explaining answers generated by knowledge graph embeddings. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, v. 171, p. 25-pg., . (19/07665-4, 17/19007-6)
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DE SOUSA, GUSTAVO JOSE; GUIMARAES PEDRONETTE, DANIEL CARLOS; PAPA, JOAO PAULO; GUILHERME, IVAN RIZZO. SMS Spam Detection Through Skip-gram Embeddings and Shallow Networks. FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, ACL-IJCNLP 2021, v. N/A, p. 9-pg., . (19/07665-4, 18/15597-6)
COZMAN, FABIO GAGLIARDI. Markov Conditions and Factorization in Logical Credal Networks. NEURIPS WORKSHOPS, 2020, v. 215, p. 11-pg., . (19/07665-4)
MATHIAS, MARLON S.; NETTO, CAIO F. D.; MORENO, FELIPE M.; COELHO, JEFFERSON F.; DE FREITAS, LUCAS P.; DE BARROS, MARCEL R.; DE MELLO, PEDRO C.; DOTTORI, MARCELO; COZMAN, FABIO G.; COSTA, ANNA H. R.; et al. A PHYSICS-INFORMED NEURAL OPERATOR FOR THE SIMULATION OF SURFACE WAVES. PROCEEDINGS OF ASME 2023 42ND INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE & ARCTIC ENGINEERING, OMAE2023, VOL 7, v. N/A, p. 10-pg., . (19/07665-4, 20/16746-5)
LIGABUE, PEDRO DE MORAES; BRANDAO, ANAROSA ALVES FRANCO; PERES, SARAJANE MARQUES; COZMAN, FABIO GAGLIARDI; PIROZELLI, PAULO. Applying a Context-based Method to Build a Knowledge Graph for the Blue Amazon. DATA INTELLIGENCE, v. 6, n. 1, p. 40-pg., . (19/07665-4)
MORENO, FELIPE M.; COELHO, JEFFERSON F.; MATHIAS, MARLON S.; DE BARROS, MARCEL R.; NETTO, CAIO F. D.; DE FREITAS, LUCAS P.; DOTTORI, MARCELO; COZMAN, FABIO G.; COSTA, ANNA H. R.; GOMI, EDSON S.; et al. ECHO STATE NETWORKS FOR SURFACE CURRENT FORECASTING IN A PORT ACCESS CHANNEL. PROCEEDINGS OF ASME 2023 42ND INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE & ARCTIC ENGINEERING, OMAE2023, VOL 5, v. N/A, p. 8-pg., . (19/07665-4, 20/16746-5)
LOPES, GESIEL RIOS; DELBEM, ALEXANDRE C. B.; DA SILVA, ROBERTO FRAY; BIELENKI, CLAUDIO, JR.; VANNUCCHI, SERGIO HENRIQUE; DE MATTOS, LEME; SCATOLINI, DENISE; GHIGLIENO, FILIPPO; SARAIVA, ANTONIO MAURO. MultiMaps: a tool for decision-making support in the analyzes of multiple epidemics. PROCEEDINGS OF THE 3RD ACM SIGSPATIAL INTERNATIONAL WORKSHOP ON SPATIAL COMPUTING FOR EPIDEMIOLOGY, SPATIALEPI 2022, v. N/A, p. 4-pg., . (19/07665-4, 20/16578-5)
OLIVEIRA, GUILHERME C.; ROSA, GUSTAVO H.; PEDRONETTE, DANIEL C. G.; PAPA, JOAO P.; KUMAR, HIMEESH; PASSOS, LEANDRO A.; KUMAR, DINESH. Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization. Biomedical Signal Processing and Control, v. 94, p. 9-pg., . (19/02205-5, 19/00585-5, 23/10823-6, 14/12236-1, 18/15597-6, 19/07665-4, 13/07375-0)
PRZEWOZNICZEK, MICHAL W.; TINOS, RENATO; FREJ, BARTOSZ; KOMARNICKI, MARCIN M.; FIELDSEND, JE. On turning Black- into Dark Gray-optimization with the Direct Empirical Linkage Discovery and Partition Crossover. PROCEEDINGS OF THE 2022 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'22), v. N/A, p. 9-pg., . (21/09720-2, 19/07665-4)
DE ROSA, GUSTAVO H.; PAPA, JOAO P.. OPFython: A Python implementation for Optimum-Path Forest. SOFTWARE IMPACTS, v. 9, p. 3-pg., . (19/02205-5, 20/12101-0, 14/12236-1, 19/07665-4, 13/07375-0)
TINOS, RENATO. Artificial neural network based crossover for evolutionary algorithms. APPLIED SOFT COMPUTING, v. 95, p. 14-pg., . (19/07665-4, 13/07375-0)
ASCENCAO, NATHALIA Q.; AFONSO, LUIS C. S.; COLOMBO, DANILO; OLIVEIRA, LUCIANO; PAPA, JOAO P.; IEEE. Information Ranking Using Optimum-Path Forest. 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), v. N/A, p. 8-pg., . (18/15597-6, 14/12236-1, 19/07665-4, 13/07375-0, 17/25908-6)
SOUZA, BARBARA C. E.; SILVA, FILIPI N.; DE ARRUDA, HENRIQUE F.; DA SILVA, GIOVANA D.; COSTA, LUCIANO DA F.; AMANCIO, DIEGO R.. Text characterization based on recurrence networks. INFORMATION SCIENCES, v. 641, p. 15-pg., . (19/07665-4, 21/01744-0, 20/06271-0, 18/10489-0, 15/22308-2)
DE SOUZA, JACKSON JOSE; FINGER, MARCELO; DE ARAUJO, JORGE ALBERTO A.; MARANHAO, JULIANO. Selecting and ranking leading cases in Brazilian Supreme Court decisions. KNOWLEDGE ENGINEERING REVIEW, v. 38, p. 18-pg., . (14/12236-1, 20/06443-5, 19/07665-4)
RASERA, JULIA BOSCARIOL; DA SILVA, ROBERTO FRAY; PIEDADE, SONIA; MOURAO FILHO, FRANCISCO DE ASSIS ALVES; DELBEM, ALEXANDRE CLAUDIO BOTAZZO; SARAIVA, ANTONIO MAURO; SENTELHAS, PAULO CESAR; MARQUES, PATRICIA ANGELICA ALVES. Do Gridded Weather Datasets Provide High-Quality Data for Agroclimatic Research in Citrus Production in Brazil?. AGRIENGINEERING, v. 5, n. 2, p. 17-pg., . (19/07665-4, 22/06804-3)
MARTINS, GUILHERME BRANDAO; PAPA, JOAO PAULO; DECARVALHO, BM; GONCALVES, LMG. How to proper initialize Gaussian Mixture Models with Optimum-Path Forest. 2022 35TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI 2022), v. N/A, p. 6-pg., . (13/07375-0, 14/12236-1, 19/07665-4)
CRUZ, EMERSON; COZMAN, FABIO GAGLIARDI; SOUZA, WILSON; TAKIUTI, ALBERTINA. The impact of teenage pregnancy on school dropout in Brazil: a Bayesian network approach. BMC PUBLIC HEALTH, v. 21, n. 1, . (19/07665-4)
SANTOS, CLAUDIO F. G.; AFONSO, LUIS C. S.; PEREIRA, CLAYTON R.; PAPA, JOAO P.; DEHERRERA, AGS; GONZALEZ, AR; SANTOSH, KC; TEMESGEN, Z; KANE, B; SODA, P. BreastNet: Breast Cancer Categorization Using Convolutional Neural Networks. 2020 IEEE 33RD INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS(CBMS 2020), v. N/A, p. 6-pg., . (13/07375-0, 14/12236-1, 19/07665-4)
JORGE, GERMANO ANTONIO ZANI; BEZERRA, DAVI ALVES; XAVIER, CLARISSA CASTELLA; PARDO, THIAGO ALEXANDRE SALGUEIRO. Multilingual Extractive Summarization: Investigating State-of-the-Art Methods for English and Brazilian Portuguese. INTELLIGENT SYSTEMS, BRACIS 2024, PT II, v. 15413, p. 12-pg., . (19/07665-4)
ALBARRANS, GUILHERME; FREIRE, VALDINEI. Likelihood Estimator for Multi Model-Based Reinforcement Learning. INTELLIGENT SYSTEMS, BRACIS 2024, PT II, v. 15413, p. 15-pg., . (19/07665-4)