Centro de Inteligência Artificial

• Processo: 19/07665-4
• Modalidade de apoio: Auxílio à Pesquisa - Programa Centros de Pesquisa em Engenharia
• Vigência: 01 de agosto de 2020 - 31 de julho de 2025
• Área do conhecimento: Ciências Exatas e da Terra - Ciência da Computação
• Convênio/Acordo: 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: Rio de JaneiroSão Paulo
• Pesquisadores principais: Alexandre Cláudio Botazzo Delbem ; 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 ; Thiago Alexandre Salgueiro Pardo ; Zhao Liang
• Pesquisadores associados: Alessandra Alaniz Macedo ; 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 ; 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 ; Ednaldo José Ferreira ; 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 ; 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 ; Patricia Angélica Alves Marques ; Paulo Andre Lima de Castro ; Paulo Hilário Nascimento Saldiva ; Paulo Mazzoncini de Azevedo Marques ; 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 ; Sarajane Marques Peres ; Sílvia Helena Galvão de Miranda ; Solange Oliveira Rezende ; Tereza Cristina Giannini ; Thiago Alexandre Salgueiro Pardo ; Uiara Bandineli Montedo ; Vanessa Martins do Monte
• Bolsa(s) vinculada(s): 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; + mais bolsas vinculadas 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)

Publicações científicas

(140)

(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)

IWASHITA, ADRIANA SAYURI; RODRIGUES, DOUGLAS; GASTALDELLO, DANILO SINKITI; DE SOUZA, ANDRE NUNES; PAPA, JOAO PAULO. An incremental Optimum-Path Forest classifier and its application to non-technical losses identification. COMPUTERS & ELECTRICAL ENGINEERING, v. 95, OCT 2021. (14/12236-1, 19/07665-4, 18/21934-5, 17/02286-0, 13/07375-0)

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., 2022-02-07. (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., 2021-01-01. (19/25010-5, 19/07665-4)

DEL LAMA, RAFAEL SILVA; CANDIDO, RAQUEL MARIANA; CHIARI-CORREIA, NATALIA SANTANA; NOGUEIRA-BARBOSA, MARCELLO HENRIQUE; DE AZEVEDO-MARQUES, PAULO MAZZONCINI; TINOS, RENATO. Computer-Aided Diagnosis of Vertebral Compression Fractures Using Convolutional Neural Networks and Radiomics. JOURNAL OF DIGITAL IMAGING, v. 35, n. 3, p. 13-pg., 2022-02-07. (19/07665-4, 19/01219-2, 21/09720-2)

SOBREVILLA CABEZUDO, MARCO ANTONIO; SALGUEIRO, THIAGO ALEXANDRE. Low-resource AMR-to-Text Generation: A Study on Brazilian Portuguese. PROCESAMIENTO DEL LENGUAJE NATURAL, v. N/A, n. 68, p. 13-pg., 2022-03-01. (19/07665-4, 13/07375-0)

PASSOS, LEANDRO APARECIDO S.; JODAS, DANILO S.; RIBEIRO, LUIZ C. F.; AKIO, MARCO; DE SOUZA, ANDRE NUNES; PAPA, JOAO PAULO. Handling imbalanced datasets through Optimum-Path Forest. KNOWLEDGE-BASED SYSTEMS, v. 242, p. 13-pg., 2022-04-22. (18/21934-5, 14/12236-1, 20/12101-0, 19/18287-0, 19/07665-4, 17/02286-0, 13/07375-0)

SILVA, LUCAS F. A.; PEDRONETTE, DANIEL C. G.; FARIA, FABIO A.; PAPA, JOAO P.; ALMEIDA, JURANDY; IEEE COMP SOC. Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers. 2021 34TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI 2021), v. N/A, p. 8-pg., 2021-01-01. (14/12236-1, 18/15597-6, 17/25908-6, 19/07665-4, 13/07375-0)

TEIXEIRA BRASIL, JOSE ARTUR; DE MACEDO, MARINA BATALINI; PEREIRA DE OLIVEIRA, THALITA RAQUEL; GHIGLIENO, FILIPPO GIOVANNI; BORGES DE SOUZA, VLADIMIR CARAMORI; SILVA, GABRIEL MARINHO E.; GOMES JUNIOR, MARCUS NOBREGA; ARGUELLO DE SOUZA, FELIPE AUGUSTO; MENDIONDO, EDUARDO MARIO. Can we scale Digital Twins of Nature-based Solutions for stormwater and transboundary water security projects?. JOURNAL OF HYDROINFORMATICS, v. N/A, p. 16-pg., 2022-04-27. (19/07665-4, 14/50848-9)

RODRIGUES MATTOS, JOAO PEDRO; MARCACINI, RICARDO M.; BAILEY, J; MIETTINEN, P; KOH, YS; TAO, D; WU, X. Semi-Supervised Graph Attention Networks for Event Representation Learning. 2021 21ST IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2021), v. N/A, p. 6-pg., 2021-01-01. (19/25010-5, 19/07665-4)

MACHADO, MATEUS TARCINALLI; SALGUEIRO PARDO, THIAGO ALEXANDRE; SERON RUIZ, EVANDRO EDUARDO; DI FELIPPO, ARIANI; VARGAS, FRANCIELLE; PINHEIRO, V; GAMALLO, P; AMARO, R; SCARTON, C; BATISTA, F; et al. Implicit Opinion Aspect Clues in Portuguese Texts: Analysis and Categorization. COMPUTATIONAL PROCESSING OF THE PORTUGUESE LANGUAGE, PROPOR 2022, v. 13208, p. 11-pg., 2022-01-01. (19/07665-4)

ALVES DE LIMA, VITOR MESAQUE; DE ARAUJO, ADAILTON FERREIRA; MARCACINI, RICARDO MARCONDES. Temporal dynamics of requirements engineering from mobile app reviews. PEERJ COMPUTER SCIENCE, v. 7, p. 26-pg., 2022-03-15. (19/25010-5, 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, NOV 2020. (13/07375-0, 19/07665-4, 19/08605-5, 17/04847-9, 14/12236-1)

MARCELO FINGER. Inteligência Artificial e os rumos do processamento do português brasileiro. Estudos avançados, v. 35, n. 101, p. 51-72, 2021-04-19. (19/07665-4, 20/06443-5)

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, OCT 2021. (19/09817-6, 13/07375-0, 19/07665-4, 15/50122-0, 19/14429-5)

PRETO, SANDRO; FINGER, MARCELO. Efficient representation of piecewise linear functions into Lukasiewicz logic modulo satisfiability. MATHEMATICAL STRUCTURES IN COMPUTER SCIENCE, v. N/A, p. 26-pg., 2022-05-17. (21/03117-2, 14/12236-1, 19/07665-4, 15/21880-4)

SOUZA, MARTO; WASSERMANN, RENATA; XAVIER-JUNIOR, JC; RIOS, RA. Hyperintensional Models and Belief Change. INTELLIGENT SYSTEMS, PT I, v. 13653, p. 15-pg., 2022-01-01. (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., 2022-01-01. (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., 2021-01-01. (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., 2022-01-01. (21/05516-1, 13/07375-0, 14/12236-1, 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., 2022-01-01. (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., 2022-12-08. (19/07665-4)

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, JUN 2021. (19/07665-4)

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, MAY 2022. (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, DEC 2021. (15/50122-0, 13/07375-0, 19/07665-4)

COLLIRI, TIAGO; ZHAO, LIANG. Stock market trend detection and automatic decision-making through a network-based classification model. NATURAL COMPUTING, JAN 2021. (15/50122-0, 19/07665-4, 13/07375-0)

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., 2022-01-01. (18/23908-1, 14/12236-1, 19/07665-4, 21/01870-5)

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., 2023-01-01. (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., 2023-01-01. (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., 2023-01-01. (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., 2023-01-01. (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., 2023-01-01. (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., 2023-01-01. (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., 2023-09-19. (19/07665-4, 21/12220-1, 14/50851-0, 18/19150-6)

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., 2020-11-01. (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., 2020-11-01. (19/07665-4, 16/18841-0, 15/21880-4)

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., 2022-03-11. (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., 2022-01-01. (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., 2022-01-01. (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., 2021-01-01. (19/07665-4)

PIROZELLI, PAULO; BRANDAO, ANAROSA A. F.; PERES, SARAJANE M.; COZMAN, FABIO G.; XAVIER-JUNIOR, JC; RIOS, RA. To Answer or Not to Answer? Filtering Questions for QA Systems. INTELLIGENT SYSTEMS, PT II, v. 13654, p. 15-pg., 2022-01-01. (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., 2020-08-01. (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., 2021-04-16. (19/07665-4, 17/17291-9)

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, 2022-05-13. (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., 2022-01-01. (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., 2022-01-01. (19/07665-4, 20/16746-5)

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JODAS, DANILO SAMUEL; YOJO, TAKASHI; BRAZOLIN, SERGIO; VELASCO, GIULIANA DEL NERO; PAPA, JOAO PAULO. Detection of Trees on Street-View Images Using a Convolutional Neural Network. International Journal of Neural Systems, v. 32, n. 01, JAN 2022. (14/12236-1, 19/07665-4, 13/07375-0, 17/50343-2, 19/18287-0)

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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, JUN 2021. (19/09817-6, 19/07665-4, 13/07375-0, 15/50122-0, 19/14429-5)

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, OCT 13 2021. (19/07665-4)

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SUGI AFONSO, LUIS CLAUDIO; RODRIGUES, DOUGLAS; PAPA, JOAO PAULO. Nature-inspired optimum-path forest. EVOLUTIONARY INTELLIGENCE, SEP 2021. (17/25908-6, 18/21934-5, 14/12236-1, 13/07375-0, 19/07665-4)

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COZMAN, FABIO GAGLIARDI. Graphoid properties of concepts of independence for sets of probabilities. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, v. 131, p. 56-79, APR 2021. (19/07665-4)

ALMADA, MARCO; MARANHAO, JULIANO. Voice-based diagnosis of covid-19: ethical and legal challenges. INTERNATIONAL DATA PRIVACY LAW, v. 11, n. 1, p. 63-75, FEB 2021. (19/07665-4)

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PASCHOAL, ANDRE F. A.; PIROZELLI, PAULO; FREIRE, VALDINEI; DELGADO, KARINA V.; PERES, SARAJANE M.; JOSE, MARCOS M.; NAKASATO, FLAVIO; OLIVEIRA, ANDRE S.; BRANDAO, ANAROSA A. F.; COSTA, ANNA H. R.; et al. Pira: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean. PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021, v. N/A, p. 10-pg., 2021-01-01. (19/07665-4)

GONCALVES, BERNARDO. Galilean resonances: the role of experiment in Turing's construction of machine intelligence. ANNALS OF SCIENCE, v. N/A, p. 31-pg., 2023-07-18. (19/21489-4, 22/16793-9, 19/07665-4)

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., 2023-05-12. (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., 2023-06-14. (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., 2023-06-01. (19/07665-4, 22/06804-3)

JODAS, DANILO SAMUEL; PASSOS, LEANDRO APARECIDO; ADEEL, AHSAN; PAPA, JOAO PAULO. PL-kNN: A Python-based implementation of a parameterless k-Nearest Neighbors classifier. SOFTWARE IMPACTS, v. 15, p. 3-pg., 2022-12-21. (14/12236-1, 19/07665-4, 13/07375-0, 17/02286-0, 19/18287-0, 18/21934-5)

SILVA GOLO, MARCOS PAULO; ROSSI, RAFAEL GERALDELI; MARCACINI, RICARDO MARCONDES. earning to sense from events via semantic variational autoencode. PLoS One, v. 16, n. 12, DEC 23 2021. (19/07665-4)

REIS FILHO, IVAN J.; MARTINS, LUIZ H. D.; PARMEZAN, ANTONIO R. S.; MARCACINI, RICARDO M.; REZENDE, SOLANGE O.; XAVIER-JUNIOR, JC; RIOS, RA. Sequential Short-Text Classification from Multiple Textual Representations with Weak Supervision. INTELLIGENT SYSTEMS, PT I, v. 13653, p. 15-pg., 2022-01-01. (19/07665-4, 19/25010-5)

DOS SANTOS, BRUCCE NEVES; ROSSI, RAFAEL GERALDELI; REZENDE, SOLANGE OLIVEIRA; MARCACINI, RICARDO MARCONDES. A two-stage regularization framework for heterogeneous event networks. PATTERN RECOGNITION LETTERS, v. 138, p. 7-pg., 2020-10-01. (19/07665-4)

MENDES DA SILVA, ANGELO CESAR; SILVA, DIEGO FURTADO; MARCACINI, RICARDO MARCONDES. Multimodal representation learning over heterogeneous networks for tag-based music retrieval. EXPERT SYSTEMS WITH APPLICATIONS, v. 207, p. 9-pg., 2022-07-08. (19/07665-4)

TINOS, RENATO; PRZEWOZNICZEK, MICHAL W.; WHITLEY, DARRELL; CHICANO, FRANCISCO; PAQUETE, L. Genetic Algorithm with Linkage Learning. PROCEEDINGS OF THE 2023 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, GECCO 2023, v. N/A, p. 9-pg., 2023-01-01. (19/07665-4, 21/09720-2)

DE BONA, GLAUBER; NASCIMENTO ROCHA, VICTOR HUGO; COZMAN, FABIO GAGLIARDI; CANO, A; DEBOCK, J; MIRANDA, E; MORAL, S. Epistemic Argumentation with Conditional Probabilities and Labeling Constraints. INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 162, v. 147, p. 10-pg., 2021-01-01. (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., 2020-01-01. (13/07375-0, 14/12236-1, 19/07665-4)

ANCHIETA, RAFAEL TORRES; PARDO, THIAGO ALEXANDRE SALGUEIRO; ASSOC COMPUTAT LINGUIST. Semantically Inspired AMR Alignment for the Portuguese Language. PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP), v. N/A, p. 6-pg., 2020-01-01. (19/07665-4)

COZMAN, FABIO GAGLIARDI; MAUA, DENIS DERATANI. The joy of Probabilistic Answer Set Programming: Semantics, complexity, expressivity, inference. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, v. 125, p. 22-pg., 2020-10-01. (19/07665-4, 16/18841-0)

RIBEIRO, LUIZ C. F.; DE ROSA, GUSTAVO H.; RODRIGUES, DOUGLAS; PAPA, JOAO P.. Convolutional neural networks ensembles through single-iteration optimization. SOFT COMPUTING, v. 26, n. 8, p. 12-pg., 2022-01-29. (14/12236-1, 19/07665-4, 13/07375-0, 17/25908-6, 19/02205-5, 18/21934-5)

GARCIA, GABRIEL L.; AFONSO, LUIS C. S.; PAPA, JOAO P.; PINHEIRO, V; GAMALLO, P; AMARO, R; SCARTON, C; BATISTA, F; SILVA, D; MAGRO, C; et al. FakeRecogna: A New Brazilian Corpus for Fake News Detection. COMPUTATIONAL PROCESSING OF THE PORTUGUESE LANGUAGE, PROPOR 2022, v. 13208, p. 11-pg., 2022-01-01. (13/07375-0, 14/12236-1, 19/07665-4)

GUIMARAES, HEITOR R.; BECCARO, WESLEY; RAMIREZ, MIGUEL A.; IEEE. OPTIMIZING TIME DOMAIN FULLY CONVOLUTIONAL NETWORKS FOR 3D SPEECH ENHANCEMENT IN A REVERBERANT ENVIRONMENT USING PERCEPTUAL LOSSES. 2021 IEEE 31ST INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP), v. N/A, p. 6-pg., 2021-01-01. (19/07665-4, 18/26455-8)

JOSE, MARCOS MENON; JOSE, MARCELO ARCHANJO; MAUA, DENIS DERATANI; COZMAN, FABIO GAGLIARDI; PINHEIRO, V; GAMALLO, P; AMARO, R; SCARTON, C; BATISTA, F; SILVA, D; et al. Integrating Question Answering and Text-to-SQL in Portuguese. COMPUTATIONAL PROCESSING OF THE PORTUGUESE LANGUAGE, PROPOR 2022, v. 13208, p. 10-pg., 2022-01-01. (19/07665-4)

DE SOUSA, ROGERIO FIGUEREDO; SALGUEIRO PARDO, THIAGO ALEXANDRE; ASSOC COMPUTAT LINGUIST. Evaluating Content Features and Classification Methods for Helpfulness Prediction of Online Reviews: Establishing a Benchmark for Portuguese. PROCEEDINGS OF THE 12TH WORKSHOP ON COMPUTATIONAL APPROACHES TO SUBJECTIVITY, SENTIMENT & SOCIAL MEDIA ANALYSIS, v. N/A, p. 10-pg., 2022-01-01. (19/07665-4)

CHICANO, FRANCISCO; OCHOA, GABRIELA; WHITLEY, L. DARRELL; TINOS, RENATO. Dynastic Potential Crossover Operator. EVOLUTIONARY COMPUTATION, v. 30, n. 3, p. 38-pg., 2022-09-01. (21/09720-2, 19/07665-4)

RODER, MATEUS; ALMEIDA, JURANDY; DE ROSA, GUSTAVO H.; PASSOS, LEANDRO A.; ROSSI, ANDRE L. D.; PAPA, JOAO P.; IEEE. From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks. 2021 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2021), v. N/A, p. 8-pg., 2021-01-01. (13/07375-0, 19/07825-1, 17/25908-6, 19/07665-4)

MOREIRA, THIERRY P.; SANTANA, MARCOS CLEISON S.; PASSOS, LEANDRO A.; PAPA, JOAO PAULO; DA COSTA, KELTON AUGUSTO P.; PINHO, AJ; GEORGIEVA, P; TEIXEIRA, LF; SANCHEZ, JA. An End-to-End Approach for Seam Carving Detection Using Deep Neural Networks. PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA 2022), v. 13256, p. 11-pg., 2022-01-01. (21/05516-1, 14/12236-1, 19/07665-4, 13/07375-0)

BRANDAO, RODRIGO; OLIVEIRA, CRISTINA; PERES, SARAJANE MARQUES; DA SILVA, LEONCIO; PAPP, MARCO; CANDIA VEIGA, JOAO PAULO; BECAK, RUBENS; CAMARGO, LAURA; XAVIER-JUNIOR, JC; RIOS, RA. Artificial Intelligence, Algorithmic Transparency and Public Policies: The Case of Facial Recognition Technologies in the Public Transportation System of Large Brazilian Municipalities. INTELLIGENT SYSTEMS, PT I, v. 13653, p. 15-pg., 2022-01-01. (19/07665-4)

PASSOS, LEANDRO A.; PAPA, JOAO PAULO; HUSSAIN, AMIR; ADEEL, AHSAN. Canonical cortical graph neural networks and its application for speech enhancement in audio-visual hearing aids. Neurocomputing, v. 527, p. 8-pg., 2023-01-20. (14/12236-1, 19/07665-4, 13/07375-0, 17/02286-0, 19/18287-0, 18/21934-5)

PELLICER, LUCAS FRANCISCO AMARAL OROSCO; FERREIRA, TAYNAN MAIER; COSTA, ANNA HELENA REALI. Data augmentation techniques in natural language processing. APPLIED SOFT COMPUTING, v. 132, p. 20-pg., 2023-01-01. (19/07665-4)

LIU, WEIGUANG; RODRIGUES, RAFAEL DELALIBERA; YAN, JIANGLONG; ZHU, YU-TAO; PEREIRA, EVERSON JOSE DE FREITAS; LI, GEN; ZHENG, QIUSHENG; ZHAO, LIANG. Complex network-based classification of radiographic images for COVID-19 diagnosis. PLoS One, v. 18, n. 9, p. 26-pg., 2023-09-01. (19/07665-4)

SILVA, GABRIEL MARINHO E.; OLIVEIRA, TASSIANA HALMENSCHLAGER; CARVALHO, RAFAEL SANTOS; PIMENTEL FIALHO, HAILTON CESAR; ARGUELLO DE SOUZA, FELIPE AUGUSTO; MENDIONDO, EDUARDO MARIO; GHIGLIENO, FILIPPO. Assessing the Impact of SARS-CoV-2 on Water Consumption in Sao Paulo State, Brazil. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, v. 148, n. 11, p. 12-pg., 2022-11-01. (14/50848-9, 19/07665-4)

NETO, VICENTE COELHO LOBO; PASSOS, LEANDRO APARECIDO; PAPA, JOAO PAULO; KRZHIZHANOVSKAYA, VV; ZAVODSZKY, G; LEES, MH; DONGARRA, JJ; SLOOT, PMA; BRISSOS, S; TEIXEIRA, J. Evolving Long Short-Term Memory Networks. COMPUTATIONAL SCIENCE - ICCS 2020, PT II, v. 12138, p. 14-pg., 2020-01-01. (17/25908-6, 18/10100-6, 13/07375-0, 14/12236-1, 19/07665-4)

GASPAR-CUNHA, ANTONIO; COSTA, PAULO; DELBEM, ALEXANDRE; MONACO, FRANCISCO; FERREIRA, MARIA JOSE; COVAS, JOSE. Evolutionary Multi-Objective Optimization of Extrusion Barrier Screws: Data Mining and Decision Making. POLYMERS, v. 15, n. 9, p. 23-pg., 2023-05-07. (13/07375-0, 19/07665-4)

CRISPINO, GABRIEL NUNES; FREIRE, VALDINEI; DELGADO, KARINA VALDIVIA. GUBS criterion: Arbitrary trade-offs between cost and probability-to-goal in stochastic planning based on Expected Utility Theory. ARTIFICIAL INTELLIGENCE, v. 316, p. 45-pg., 2023-03-01. (18/11236-9, 19/07665-4)

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., 2022-01-01. (21/09720-2, 19/07665-4)

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., 2022-01-01. (13/07375-0, 14/12236-1, 19/07665-4)