Armazenagem, modelagem e análise de sistemas dinâmicos para aplicações em e-Science

• Processo: 15/01587-0
• Modalidade de apoio: Auxílio à Pesquisa - Programa eScience e Data Science - Temático
• Data de Início da vigência: 01 de fevereiro de 2016
• Data de Término da vigência: 31 de janeiro de 2020
• Área do conhecimento: Ciências Exatas e da Terra - Ciência da Computação - Metodologia e Técnicas da Computação
• Pesquisador responsável: João Eduardo Ferreira
• Beneficiário: João Eduardo Ferreira
• Instituição Sede: Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brasil
• Pesquisadores principais: Marcel Parolin Jackowski ; Paulo Sergio Graziano Magalhães ; Roberto Hirata Junior ; Ronaldo Fumio Hashimoto
• Pesquisadores associados: André Fujita ; André Santanchè ; Antonio Maria Francisco Luiz Jose Bonomi ; Ariane Machado Lima ; Carlos Eduardo Driemeier ; Carlos Eduardo Ferreira ; Cléver Ricardo Guareis de Farias ; David Corrêa Martins Junior ; Ester Cerdeira Sabino ; Fábio Vale Scarpare ; Felipe Werndl Trevizan ; Gisela Tunes da Silva ; Henrique Coutinho Junqueira Franco ; Junior Barrera ; Karina Valdivia Delgado ; Leliane Nunes de Barros ; Leonardo Lamas Leandro Ribeiro ; Luciano Vieira de Araújo ; Marcelo da Silva Reis ; Marcio Ferreira da Silva ; Marcio Katsumi Oikawa ; Marco Dimas Gubitoso ; Maria Teresa Borges Pimenta Barbosa ; Michelle Cristina Araujo Picoli ; Otavio Cavalett ; Routo Terada ; Vera Lúcia Reis de Gouveia
• Auxílio(s) vinculado(s): 19/10388-2 - 32nd IEEE CBMS International Symposium on Computer-Based Medical Systems, AR.EXT; 16/11515-0 - 25th International Joint Conference on Artificial Intelligence - Advances in Bioinformatics and Artificial Intelligence: Bridging the Gap, AR.EXT
• Bolsa(s) vinculada(s): 17/01330-5 - Análise de imagens 3D para modelagem realista e simulação de processos de conversão da biomassa, BP.PD; 16/22900-1 - Processos de decisão markovianos especificados com programação lógica probabilística: representação e solução, BP.DD
• Assunto(s): Frameworks Sistemas dinâmicos Coleta de dados Modelagem de dados Armazenamento e recuperação da informação Gestão da informação e-Science
• Palavra(s)-Chave do Pesquisador: Aplicações e-Science | armazenagem | frameworks | Metodologias | modelagem e análise | modelos de sistemas computacionais | sistemas dinâmicos | softwares robustos e evolutivos | Banco de Dados, Reconhecimento de Padrões, Teoria, Grafos, Sistemas de Computação

Resumo

A surpreendente e rápida evolução da tecnologia deu origem a uma nova era de descoberta de conhecimento científico. Essa nova era da ciência, conhecida como e-Science é descrita como uma nova ciência computacional e composta por uma equipe multidisciplinar que exige novas metodologias para o armazenamento, modelagem e análise de dados. Em particular, o desenvolvimento de sistemas de software transacionais e analíticos para aplicações e-Science visto como sistemas dinâmicos apresenta novos desafios computacionais. Entre eles, destacam-se os desafios dos processos de descoberta de conhecimento científico que, na maioria das vezes, envolvem mudanças frequentes de requisitos para armazenagem, modelagem e análise de dados. A necessidade de abordar sistemas dinâmicos científicos para tratar complexas aplicações de e-Science despertou a comunidade científica para a necessidade de sistemas de software robustos e evolutivos para atender a esses novos desafios. Sistema dinâmico é um arcabouço matemático clássico para representar fenômenos que evoluem no tempo e que são de grande interesse na ciência. Neste projeto, nosso principal objetivo é desenvolver modelos computacionais e metodologias para apoiar as aplicações e-Science. Nossa pesquisa fundamental cobre três principais áreas: armazenagem, modelagem e análise de sistemas dinâmicos. Essas áreas de pesquisa são importantes e relevantes para o Programa e-Science FAPESP já que muitos dos desafios atuais de e-Science estão relacionadas ao tratamento adequado dos sistemas dinâmicos. Assim, pretendemos desenvolver e aplicar metodologias computacionais que irão facilitar o desenvolvimento de aplicações e-Science contribuindo assim para a melhoria do conhecimento científico mundial, respeitando as restrições legais e éticas na gestão de dados. (AU)

Publicações científicas

(66)

(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)

CARASTAN-SANTOS, DANILO; MARTINS-, JR., DAVID C.; SONG, SIANG W.; ROZANTE, LUIZ C. S.; DE CAMARGO, RAPHAEL Y.. A hybrid CPU-GPU-MIC algorithm for minimal hitting set enumeration. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, v. 31, n. 18, SI, SEP 25 2019. (15/01587-0, 13/26644-1, 14/50937-1, 15/24485-9)

JACOMINI, RICARDO DE SOUZA; MARTINS, JR., DAVID CORREA; DA SILVA, FELIPE LENO; REALI COSTA, ANNA HELENA. GeNICE: A Novel Framework for Gene Network Inference by Clustering, Exhaustive Search, and Multivariate Analysis. JOURNAL OF COMPUTATIONAL BIOLOGY, v. 24, n. 8, p. 809-830, AUG 2017. (16/21047-3, 11/50761-2, 15/16310-4, 15/01587-0)

DRIEMEIER, CARLOS E.; LING, LIU Y.; YANCY-CABALLERO, DAISON; MANTELATTO, PAULO E.; DIAS, CARLOS S. B.; ARCHILHA, NATHALY L.. Location of water in fresh sugarcane bagasse observed by synchrotron X-ray microtomography. PLoS One, v. 13, n. 12, DEC 6 2018. (14/50884-5, 15/01587-0, 17/01330-5)

FUJITA, ANDRE; TAKAHASHI, DANIEL YASUMASA; BALARDIN, JOANA BISOL; VIDAL, MACIEL CALEBE; SATO, JOAO RICARDO. Correlation between graphs with an application to brain network analysis. COMPUTATIONAL STATISTICS & DATA ANALYSIS, v. 109, p. 76-92, MAY 2017. (13/10498-6, 16/13422-9, 13/00506-1, 15/01587-0)

MACUL FERREIRA DE BARROS, PEDRO; DO ROSARIO, MARIA CONCEICAO; SZEJKO, NATALIA; POLGA, NATALIA; REQUENA, GUARACI DE LIMA; RAVAGNANI, BEATRIZ; FATORI, DANIEL; BATISTUZZO, MARCELO CAMARGO; HOEXTER, MARCELO QUEIROZ; ROHDE, LUIS AUGUSTO; et al. Risk factors for obsessive-compulsive symptoms. Follow-up of a community-based youth cohort. EUROPEAN CHILD & ADOLESCENT PSYCHIATRY, v. 30, n. 1, FEB 2020. (15/01587-0, 08/57896-8)

BANDIERA PAIVA, THALES; TERADA, ROUTO. Improving the Efficiency of a Reaction Attack on the QC-MDPC McEliece. IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, v. E101A, n. 10, p. 1676-1686, OCT 2018. (15/01587-0)

SANCHES, GUILHERME M.; GRAZIANO MAGALHAES, PAULO S.; JUNQUEIRA FRANCO, HENRIQUE C.. Site-specific assessment of spatial and temporal variability of sugarcane yield related to soil attributes. Geoderma, v. 334, p. 90-98, JAN 15 2019. (14/14965-0, 08/09265-9, 15/01587-0, 13/50942-2)

MEKKAOUI, CHOUKRI; METELLUS, PHILIPPE; KOSTIS, WILLIAM J.; MARTUZZI, ROBERTO; PEREIRA, FABRICIO R.; BEREGI, JEAN-PAUL; REESE, TIMOTHY G.; CONSTABLE, TODD R.; JACKOWSKI, MARCEL P.. Diffusion Tensor Imaging in Patients with Glioblastoma Multiforme Using the Supertoroidal Model. PLoS One, v. 11, n. 1, JAN 13 2016. (15/01587-0)

PORFIRIO, BARBARA K. A.; ADANIYA, NICOLLE A.; JOSKO, JOAO M. B.; OIKAWA, MARCIO K.; IEEE. CLASSIFICATION OF ERRORS IN GEOGRAPHIC DATA USING ISO 19157. IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, v. N/A, p. 4-pg., 2020-01-01. (15/01587-0)

SILVA, DENNIS J.; ALVES, WONDER A. L.; HASHIMOTO, RONALDO FUMIO. Incremental bit-quads count in component trees: Theory, algorithms, and optimization. PATTERN RECOGNITION LETTERS, v. 129, p. 33-40, JAN 2020. (18/15652-7, 15/01587-0)

ANDRES, IGNASI; DE BARROS, LELIANE NUNES; IEEE. Using the Causal Graph to enhance Translations to solve Contingent Planning Problems. PROCEEDINGS OF 2016 5TH BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS 2016), v. N/A, p. 6-pg., 2016-01-01. (15/01587-0)

ANDRES, IGNASI; DE BARROS, LELIANE NUNES; DELGADO, KARINA VALDIVIA. Human-aware Contingent Planning. FUNDAMENTA INFORMATICAE, v. 174, n. 1, p. 63-81, 2020. (15/01587-0)

RIBEIRO, ADELE H.; PAVAN SOLER, JULIA MARIA; HIRATA JR, ROBERTO. Variance-Preserving Estimation of Intensity Values Obtained From Omics Experiments. FRONTIERS IN GENETICS, v. 10, SEP 20 2019. (06/03227-2, 11/50761-2, 15/01587-0)

ALVES, WONDER A. L.; GOBBER, CHARLES F.; SILVA, DENNIS J.; MORIMITSU, ALEXANDRE; HASHIMOTO, RONALDO F.; MARCOTEGUI, BEATRIZ. Image segmentation based on ultimate levelings: From attribute filters to machine learning strategies. PATTERN RECOGNITION LETTERS, v. 133, p. 264-271, MAY 2020. (18/15652-7, 15/01587-0)

FREIRE, VALDINEI; DELGADO, KARINA VALDIVIA; IEEE. Extreme Risk Averse Policy for Goal-Directed Risk-Sensitive Markov Decision Process. PROCEEDINGS OF 2016 5TH BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS 2016), v. N/A, p. 6-pg., 2016-01-01. (15/01587-0)

MAIA RODRIGUES, FRANCISCO CAIO; HIRATA, NINA S. T.; ABELLO, ANTONIO A.; DE LA CRUZ, LEANDRO T.; LOPES, RUBENS M.; HIRATA JR, R.; IMAI, F; TREMEAU, A; BRAZ, J. Evaluation of Transfer Learning Scenarios in Plankton Image Classification. VISAPP: PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS - VOL 4: VISAPP, v. N/A, p. 8-pg., 2018-01-01. (15/01587-0, 13/17633-6)

DE MELO MOREIRA, DANIEL AUGUSTO; DELGADO, KARINA VALDIVIA; DE BARROS, LELIANE NUNES; IEEE. Risk-Sensitive Markov Decision Process with Limited Budget. 2017 6TH BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS), v. N/A, p. 6-pg., 2017-01-01. (15/01587-0)

MOREIRA, DANIEL A. M.; DELGADO, KARINA VALDIVIA; DE BARROS, LELIANE NUNES; ACM. Symbolic Dynamic Programming for Risk-sensitive Markov Decision Process with limited budget. PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS (AAMAS' 18), v. N/A, p. 3-pg., 2018-01-01. (15/01587-0)

CALACHE, MATHEUS DE L.; DE FARIAS, CLEVER R. G.; IEEE. Graphical and Collaborative Annotation Support for Semantic Web Services. 2020 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ARCHITECTURE COMPANION (ICSA-C 2020), v. N/A, p. 8-pg., 2020-01-01. (15/01587-0)

DE ARAUJO, RAFAEL WILL M.; HIRATA, R., JR.; RAKOTOMAMONJY, ALAIN; IEEE. CONCAVE LOSSES FOR ROBUST DICTIONARY LEARNING. 2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), v. N/A, p. 5-pg., 2018-01-01. (15/01587-0)

CARASTAN-SANTOS, DANILO; MARTINS-, DAVID C., JR.; SONG, SIANG W.; ROZANTE, LUIZ C. S.; DE CAMARGO, RAPHAEL Y.. A hybrid CPU-GPU-MIC algorithm for minimal hitting set enumeration. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, v. 31, n. 18, p. 12-pg., 2019-09-25. (14/50937-1, 13/26644-1, 15/24485-9, 15/01587-0)

FUJITA, ANDRE; LIRA, EDUARDO SILVA; SANTOS, SUZANA DE SIQUEIRA; BANDO, SILVIA YUMI; SOARES, GABRIELA ELEUTERIO; TAKAHASHI, DANIEL YASUMASA. A semi-parametric statistical test to compare complex networks. JOURNAL OF COMPLEX NETWORKS, v. 8, n. 2, APR 2020. (18/17996-5, 18/21934-5, 15/21162-4, 15/01587-0)

BUENO, THIAGO P.; DE BARROS, LELIANE N.; MAUA, DENIS D.; SANNER, SCOTT; AAAI. Deep Reactive Policies for Planning in Stochastic Nonlinear Domains. THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, v. N/A, p. 8-pg., 2019-01-01. (15/01587-0)

MONTAGNER, IGOR S.; HIRATA, NINA S. T.; HIRATA, ROBERTO, JR.; CANU, STEPHANE; IEEE. Kernel approximations for W-operator learning. 2016 29TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 8-pg., 2016-01-01. (11/50761-2, 15/01587-0, 11/23310-0, 14/21692-0, 15/17741-9)

ABELLO, ANTONIO AUGUSTO; HIRATA, R., JR.; IEEE. Optimizing Super Resolution for Face Recognition. 2019 32ND SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 8-pg., 2019-01-01. (15/01587-0, 15/22308-2)

LIMA, WANIA REZENDE; MARTINS, DAVID CORREA; PARREIRA, KLEBER SIMONIO; SCARPELLI, PEDRO; DE MORAES, MIRIAM SANTOS; TOPALIS, PANTELIS; HASHIMOTO, RONALDO FUMIO; GARCIA, CELIA R. S.. Genome-wide analysis of the human malaria parasite Plasmodium falciparum transcription factor PfNF-YB shows interaction with a CCAAT motif. ONCOTARGET, v. 8, n. 69, p. 113987-114001, DEC 26 2017. (15/01587-0, 11/51295-5, 11/50761-2)

SILVA REIS, WILLY ARTHUR; DE BARROS, LELIANE NUNES; DELGADO, KARINA VALDIVIA. Robust topological policy iteration for infinite horizon bounded Markov Decision Processes. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, v. 105, p. 287-304, FEB 2019. (15/01587-0)

RAMOS, TAIANE COELHO; BALARDIN, JOANA BISOL; SATO, JOAO RICARDO; FUJITA, ANDRE. Abnormal Cortico-Cerebellar Functional Connectivity in Autism Spectrum Disorder. FRONTIERS IN SYSTEMS NEUROSCIENCE, v. 12, JAN 15 2019. (16/13422-9, 18/17996-5, 13/07375-0, 15/01587-0)

REIS, MARCELO S.; ESTRELA, GUSTAVO; FERREIRA, CARLOS EDUARDO; BARRERA, JUNIOR. featsel: A framework for benchmarking of feature selection algorithms and cost functions. SOFTWAREX, v. 6, p. 193-197, 2017. (13/03447-6, 15/01587-0, 16/25959-7, 13/07467-1)

MACIEL CARDOSO, FELIPE; MELONI, SANDRO; SANTANCHE, ANDRE; MORENO, YAMIR. Topical Alignment in Online Social Systems. FRONTIERS IN PHYSICS, v. 7, APR 17 2019. (15/01587-0)

SCHWERZ, ANDRE LUIS; LIBERATO, RAFAEL; PU, CALTON; FERREIRA, JOAO EDUARDO. Robust and Reliable Process-Aware Information Systems. IEEE TRANSACTIONS ON SERVICES COMPUTING, v. 14, n. 3, p. 820-833, MAY-JUN 2021. (15/01587-0)

BUENO, THIAGO P.; MAUA, DENIS D.; DE BARROS, LELIANE N.; COZMAN, FABIO G.; IEEE. Markov Decision Processes Specified by Probabilistic Logic Programming: Representation and Solution. PROCEEDINGS OF 2016 5TH BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS 2016), v. N/A, p. 6-pg., 2016-01-01. (15/01587-0, 16/01055-1)

DA SILVA, DENNIS JOSE; LUZ ALVES, WONDER ALEXANDRE; MORIMITSU, ALEXANDRE; GOBBER, CHARLES FERREIRA; HASHIMOTO, RONALDO FUMIO; BURGETH, B; KLEEFELD, A; NAEGEL, B; PASSAT, N; PERRET, B. Incremental Bit-Quads Count in Tree of Shapes. MATHEMATICAL MORPHOLOGY AND ITS APPLICATIONS TO SIGNAL AND IMAGE PROCESSING, ISMM 2019, v. 11564, p. 12-pg., 2019-01-01. (18/15652-7, 15/01587-0)

ANDRES, IGNASI; DE BARROS, LELIANE NUNES; MAUA, DENIS D.; SIMAO, THIAGO D.; SIMARI, GR; FERME, E; SEGURA, FG; MELQUIADES, JAR. When a Robot Reaches Out for Human Help. ADVANCES IN ARTIFICIAL INTELLIGENCE - IBERAMIA 2018, v. 11238, p. 13-pg., 2018-01-01. (15/01587-0, 16/01055-1)

MORIMITSU, ALEXANDRE; LUZ ALVES, WONDER ALEXANDRE; DA SILVA, DENNIS JOSE; GOBBER, CHARLES FERREIRA; HASHIMOTO, RONALDO FUMIO; BURGETH, B; KLEEFELD, A; NAEGEL, B; PASSAT, N; PERRET, B. Incremental Attribute Computation in Component-Hypertrees. MATHEMATICAL MORPHOLOGY AND ITS APPLICATIONS TO SIGNAL AND IMAGE PROCESSING, ISMM 2019, v. 11564, p. 12-pg., 2019-01-01. (18/15652-7, 15/01587-0)

LISBOA, BIANCA C. G.; OLIVEIRA, KATIA C.; TAHIRA, ANA CAROLINA; BARBOSA, ANDRE ROCHA; FELTRIN, ARTHUR SANT'ANNA; GOUVEIA, GISELE; LIMA, LUZIA; FEIO DOS SANTOS, ANA CECILIA; MARTINS JR, DAVID CORREA; PUGA, RENATO DAVID; et al. Initial findings of striatum tripartite model in OCD brain samples based on transcriptome analysis. SCIENTIFIC REPORTS, v. 9, FEB 28 2019. (15/01587-0)

RODRIGUES, FRANCISCO C. M.; ESPADOTO, MATEUS; HIRATA JR, ROBERTO; TELEA, ALEXANDRU C.. Constructing and Visualizing High-Quality Classifier Decision Boundary Maps dagger. INFORMATION, v. 10, n. 9, SEP 2019. (15/22308-2, 15/24485-9, 15/01587-0)

HIRATA, NINA S. T.; MONTAGNER, IGOR S.; HIRATA, ROBERTO, JR.; ACM. Comics image processing: learning to segment text. PROCEEDINGS OF THE 1ST INTERNATIONAL WORKSHOP ON COMICS ANALYSIS, PROCESSING AND UNDERSTANDING (MANPU 2016), v. N/A, p. 6-pg., 2016-01-01. (11/23310-0, 15/01587-0, 15/17741-9, 14/21692-0)

FREIRE, VALDINEI; DELGADO, KARINA VALDIVIA; ASSOC COMP MACHINERY. GUBS: a Utility-Based Semantic for Goal-Directed Markov Decision Processes. 2022 25TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2022), v. N/A, p. 9-pg., 2017-01-01. (15/01587-0)

RODRIGUES, FRANCISCO C. M.; ESPADOTO, MATEUS; HIRATA JR, ROBERTO; TELEA, ALEXANDRU C.. Constructing and Visualizing High-Quality Classifier Decision Boundary Maps. INFORMATION, v. 10, n. 9, p. 22-pg., 2019-09-01. (15/01587-0, 15/24485-9, 15/22308-2)

MORIMITSU, ALEXANDRE; PASSAT, NICOLAS; ALVES, WONDER A. L.; HASHIMOTO, RONALDO F.. Efficient component-hypertree construction based on hierarchy of partitions. PATTERN RECOGNITION LETTERS, v. 135, p. 30-37, JUL 2020. (18/15652-7, 15/01587-0)

SANCHES, GUILHERME M.; MAGALHAES, PAULO S. G.; KOLLN, ORIEL T.; OTTO, RAFAEL; RODRIGUES, FRANCELINO; CARDOSO, TEREZINHA F.; CHAGAS, MATEUS F.; FRANCO, HENRIQUE C. J.. Agronomic, economic, and environmental assessment of site-specific fertilizer management of Brazilian sugarcane fields. GEODERMA REGIONAL, v. 24, MAR 2021. (18/10225-3, 15/01587-0, 11/02817-9, 14/14965-0, 13/50942-2)

DIAS FARIA, RODRIGO AUGUSTO; HIRATA JR, ROBERTO; IMAI, F; TREMEAU, A; BRAZ, J. Combined Correlation Rules to Detect Skin based on Dynamic Color Clustering. VISAPP: PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS - VOL 4: VISAPP, v. N/A, p. 8-pg., 2018-01-01. (15/01587-0)

YANCY-CABALLERO, DAISON; LING, LIU Y.; FUJITA, ANDRE; FERREIRA, JOAO E.; DRIEMEIER, CARLOS. Intraparticle Connectivity in Sugarcane Bagasse Unveiled by Pore Network Modeling. BioEnergy Research, v. 12, n. 3, p. 546-557, SEP 2019. (17/01330-5, 15/01587-0)

YANCY-CABALLERO, DAISON; LING, LIU Y.; ARCHILHA, NATHALY L.; FERREIRA, JOAO E.; DRIEMEIER, CARLOS. Mineral Particles in Sugar Cane Bagasse: Localization and Morphometry Using Microtomography Analysis. ENERGY & FUELS, v. 31, n. 11, p. 12288-12296, NOV 2017. (15/01587-0, 17/01330-5)

FERNANDEZ, MILTON CONDORI; DE BARROS, LELIANE NUNES; DELGADO, KARINA VALDIVIA; IEEE. Occupation Measure Heuristics to solve Stochastic Shortest Path with Dead Ends. 2018 7TH BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS), v. N/A, p. 6-pg., 2018-01-01. (15/01587-0)

RODRIGUES, FRANCISCO CAIO M.; HIRATA, R., JR.; TELEA, A. C.; IEEE. Image-based Visualization of Classifier Decision Boundaries. PROCEEDINGS 2018 31ST SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 8-pg., 2018-01-01. (15/24485-9, 15/01587-0)

LAMAS, LEONARDO; DREZNER, RENE; OTRANTO, GUILHERME; BARRERA, JUNIOR. Analytic method for evaluating players' decisions in team sports: Applications to the soccer goalkeeper. PLoS One, v. 13, n. 2, FEB 6 2018. (15/01587-0)

ATASHPAZ-GARGARI, ESMAEIL; REIS, MARCELO S.; BRAGA-NETO, ULISSES M.; BARRERA, JUNIOR; DOUGHERTY, EDWARD R.. A fast Branch-and-Bound algorithm for U-curve feature selection. PATTERN RECOGNITION, v. 73, p. 172-188, JAN 2018. (13/07467-1, 15/01587-0)

KINKER, GABRIELA SARTI; THOMAS, ANDREW MALTEZ; CARVALHO, VINICIUS JARDIM; LIMA, FELIPE PRATA; FUJITA, ANDRE. Deletion and low expression of NFKBIA are associated with poor prognosis in lower-grade glioma patients. SCIENTIFIC REPORTS, v. 6, APR 7 2016. (14/27287-0, 15/01507-7, 15/01587-0, 13/03447-6, 14/09576-5)

VIDAL, MACIEL C.; SATO, JOAO R.; BALARDIN, JOANA B.; TAKAHASHI, DANIEL Y.; FUJITA, ANDRE. ANOCVA in R: A Software to Compare Clusters between Groups and Its Application to the Study of Autism Spectrum Disorder. FRONTIERS IN NEUROSCIENCE, v. 11, JAN 24 2017. (16/13422-9, 13/03447-6, 15/01587-0, 13/10498-6, 14/09576-5)

FUJITA, ANDRE; VIDAL, MACIEL C.; TAKAHASHI, DANIEL Y.. A Statistical Method to Distinguish Functional Brain Networks. FRONTIERS IN NEUROSCIENCE, v. 11, FEB 14 2017. (13/07375-0, 15/01587-0, 13/03447-6)

DRIEMEIER, CARLOS; LING, LIU YI; SANCHES, GUILHERME M.; PONTES, ANGELICA O.; GRAZIANO MAGALHAES, PAULO S.; FERREIRA, JOAO E.. A computational environment to support research in sugarcane agriculture. COMPUTERS AND ELECTRONICS IN AGRICULTURE, v. 130, p. 13-19, NOV 15 2016. (15/01587-0)

GUZMAN, GROVER E. C.; SATO, JOAO R.; VIDAL, MACIEL C.; FUJITA, ANDRE. Identification of alterations associated with age in the clustering structure of functional bra in networks. PLoS One, v. 13, n. 5, MAY 24 2018. (16/13422-9, 15/01587-0)

GOYA, DENISE H.; NAKAMURA, DIONATHAN; TERADA, ROUTO. Certificateless Key Agreement Protocols under Strong Models. IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, v. E99A, n. 10, p. 1822-1832, OCT 2016. (08/06189-0, 15/01587-0)

MOREIRA, DANIEL A. M.; DELGADO, KARINA VALDIVIA; DE BARROS, LELIANE NUNES. Robust probabilistic planning with ilao. APPLIED INTELLIGENCE, v. 45, n. 3, p. 662-672, OCT 2016. (15/01587-0)

FELTRIN, ARTHUR SANT'ANNA; TAHIRA, ANA CAROLINA; SIMOES, SERGIO NERY; BRENTANI, HELENA; MARTINS, JR., DAVID CORREA. Assessment of complementarity of WGCNA and NERI results for identification of modules associated to schizophrenia spectrum disorders. PLoS One, v. 14, n. 1, JAN 15 2019. (11/04956-6, 11/50761-2, 14/00041-1, 14/10488-3, 15/01587-0)

ESTRELA, GUSTAVO; GUBITOSO, MARCO DIMAS; FERREIRA, CARLOS EDUARDO; BARRERA, JUNIOR; REIS, MARCELO S.. An Efficient, Parallelized Algorithm for Optimal Conditional Entropy-Based Feature Selection. Entropy, v. 22, n. 4, APR 2020. (16/25959-7, 13/07467-1, 15/01587-0)

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