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Center for Artificial Intelligence

Grant number: 19/07665-4
Support Opportunities:Research Grants - Research Program in eScience and Data Science - Research Centers in Engineering Program
Duration: August 01, 2020 - July 31, 2025
Field of knowledge:Physical Sciences and Mathematics - Computer Science
Convênio/Acordo: IBM Brasil
Principal Investigator:Fabio Gagliardi Cozman
Grantee:Fabio Gagliardi Cozman
Host Institution: Centro de Inovação da USP (INOVA). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Host Companies:Universidade de São Paulo (USP). Centro de Inovação da USP (INOVA)
IBM Brasil - Indústria, Máquinas e Serviços Ltda
City: São PauloRio de Janeiro
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 ; Sarajane Marques Peres ; Thiago Alexandre Salgueiro Pardo ; Zhao Liang
Associated researchers: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 ; Oto Araújo Vale ; 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
Associated scholarship(s):23/12775-9 - Technical support in the Center for Artificial Intelligence, BP.TT
23/13722-6 - Support for Knowledge-Enhanced Learning Research at the Center for Artificial Intelligence, BP.TT
23/01892-4 - Negation scope in portuguese: taxonomy, systematization and implementation, BP.DR
+ associated scholarships 23/07299-3 - Development and implementation of portals to support research for the POeTiSA, TaRSila and Carolina projects, BP.TT
22/16374-6 - Pretrained Neural Network models for detecting respiratory conditions through audio analysis, BP.PD
22/15355-8 - Technical infrastructure for technology transfer activities in the center for artificial intelligence, BP.TT
23/00730-0 - Coordination, creation, acquisition and management of database of associations and indigenous groups in Brazil, BP.TT
22/12747-2 - Regulation and funding of artificial intelligence in Brazil, BP.TT
22/06804-3 - Development and evaluation of a simulation model to estimate the productivity of sweet oranges (Citrus sinensis L.), BP.DR
22/06373-2 - Center for Artificial Intelligence, BP.TT
21/03544-8 - Algorithmic management: a study of perceptions of drivers and delivery people about work on platforms, BP.MS
21/15125-0 - A metadata model for interoperability of agricultural databases, BP.DR
21/06783-3 - Veritas: a Brazilian legal documents dataset for natural language processing, BP.IC
21/03117-2 - Formal verification of neural networks via Lukasiewicz infinitely-valued logic, BP.PD
20/02679-4 - NLPCode: using natural language processing techniques for automated code refactoring, BP.MS
21/02464-0 - Probabilistic modeling for decision making and prediction in water resources: an application in food security, BP.TT
20/15129-2 - Focal and non-focal EEG classification through deep learning, BP.DR
20/16746-5 - Physics-informed machine learning applied for forecasting metocean conditions, BP.DR
20/16661-0 - Segmentation and alignment of datasets for natural language processing, BP.TT
20/07892-8 - Drone trajectory planning for 3D reconstruction, BP.IC - associated scholarships

Abstract

This proposal describes an Engineering Research Center for Artificial Intelligence (AI) committed to conduct research in basic AI topics and to apply AI techniques to selected application areas --- namely, oil and gas industry, agribusiness, and health. The Center will also fund studies on the social and economic impact of AI, and will carry activities aimed at technology transfer and knowledge diffusion. The Center will be built on the belief that the next ten years will bring unprecedented advances in AI that will depend both on the collaboration amongst the core areas of AI and between these core areas and applications. The Center for Artificial Intelligence will consist of two intertwined groups of researchers, both of them distributed across the host and associated institutions. One group of researchers, with significant international presence in the AI community, will cover central topics of AI, from knowledge representation to machine learning, with specific emphasis on text and natural language processing, particularly in Portuguese. Current international research trends suggest that the next decade will witness an increased interaction between knowledge representation, decision making, and machine learning; the Center for Artificial Intelligence will focus its attention on the combination of these areas of AI as they are not as closely connected as they should be --- the Center will position itself as a fundamental player in the collaboration amongst core AI topics. A second group of researchers in the Center will focus on three selected application areas with high potential and significant existing expertise in the host institution: oil and gas, agribusiness, and health. The connection between core AI research and application areas will work both ways: the core AI research will address large scale problems in the selected application areas, and will be informed by the large scale challenges in those application areas. A small group of researchers from the humanities is also included in the Center so as to conduct research on the social impact of AI and to identify paths that will guarantee the use of AI for good. The Coordinator of Education and Dissemination of Knowledge will organize video production with research results and will work through fairs and schools to educate the public in broadest terms. The Coordinator of Technology Transfer will work together with well established offices of the host institution to nurture initiatives that will transfer results to the funding entities and to entrepreneurship efforts. (AU)

Articles published in Pesquisa FAPESP Magazine about the research grant:
Desafíos a la hora de regular el uso de la inteligencia artificial 
The challenges of regulating artificial intelligence 
Insuficiencia alimentaria 
Insufficient food 
Una mirada ampliada desde la ciencia para acabar con el hambre en Brasil 
Science takes a broader look at how to end hunger in Brazil 
ChatGPT inaugura una nueva era en la interacción entre seres humanos y computadoras 
ChatGPT ushers in a new era in human-computer interaction 
Artificial intelligence to help the heart 
Inteligencia artificial aplicada al corazón 
Articles published in Pesquisa para Inovação FAPESP about research grant:
Center for Artificial Intelligence supported by FAPESP, IBM and USP starts operating 
Articles published in Agência FAPESP Newsletter about the research grant:
Articles published in other media outlets (0 total):
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VEICULO: TITULO (DATA)
VEICULO: TITULO (DATA)

Scientific publications (141)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
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, . (14/12236-1, 19/07665-4, 18/21934-5, 17/02286-0, 13/07375-0)
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., . (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., . (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., . (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., . (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., . (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., . (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., . (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., . (19/25010-5, 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, . (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, . (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)
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)
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)
MARCELO FINGER. Inteligência Artificial e os rumos do processamento do português brasileiro. Estudos avançados, v. 35, n. 101, p. 51-72, . (19/07665-4, 20/06443-5)
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., . (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., . (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)
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)
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)
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)
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)
GONCALVES DOS SANTOS, CLAUDIO FILIPI; OLIVEIRA, DIEGO DE SOUZA; PASSOS, LEANDRO A.; PIRES, RAFAEL GONCALVES; SILVA SANTOS, DANIEL FELIPE; VALEM, LUCAS PASCOTTI; MOREIRA, THIERRY P.; SANTANA, MARCOS CLEISON S.; RODER, MATEUS; PAPA, JOAO PAULO; et al. Gait Recognition Based on Deep Learning: A Survey. ACM COMPUTING SURVEYS, v. 55, n. 2, p. 34-pg., . (14/12236-1, 20/12101-0, 19/07665-4, 13/07375-0)
GONZAGA, VICTOR MACHADO; MURRUGARRA-LLERENA, NILS; MARCACINI, RICARDO; ACM. Multimodal intent classification with incomplete modalities using text embedding propagation. PROCEEDINGS OF THE 27TH BRAZILIAN SYMPOSIUM ON MULTIMEDIA AND THE WEB (WEBMEDIA '21), v. N/A, p. 4-pg., . (19/07665-4, 19/25010-5)
PRETO, SANDRO; FINGER, MARCELO. Proving properties of binary classification neural networks via Lukasiewicz logic. LOGIC JOURNAL OF THE IGPL, v. N/A, p. 17-pg., . (14/12236-1, 19/07665-4, 15/21880-4, 21/03117-2)
JODAS, DANILO SAMUEL; PASSOS, LEANDRO APARECIDO; ADEEL, AHSAN; PAPA, JOAO PAULO; IEEE. PL-kNN: A Parameterless Nearest Neighbors Classifier. 2022 29TH INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP), v. N/A, p. 4-pg., . (14/12236-1, 19/07665-4, 17/02286-0, 19/18287-0, 18/21934-5)
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)
PASSOS, LEANDRO A.; JODAS, DANILO S.; RIBEIRO, LUIZ C. F.; MOREIRA, THIERRY; PAPA, JOAO P.; DEHERRERA, AGS; GONZALEZ, AR; SANTOSH, KC; TEMESGEN, Z; KANE, B; et al. (OPF)-P-2: Oversampling via Optimum-Path Forest for Breast Cancer Detection. 2020 IEEE 33RD INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS(CBMS 2020), v. N/A, p. 6-pg., . (13/07375-0, 14/12236-1, 19/18287-0, 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)
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)
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)
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)
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)
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)
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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)
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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)
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