Storage, modeling and analysis of dynamical systems for e-Science applications

• Grant number: 15/01587-0
• Support Opportunities: Research Grants - eScience and Data Science Program - Thematic Grants
• Start date: February 01, 2016
• End date: January 31, 2020
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: João Eduardo Ferreira
• Grantee: João Eduardo Ferreira
• Host Institution: Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• City of the host institution: São Paulo
• Principal investigators: Marcel Parolin Jackowski ; Paulo Sergio Graziano Magalhães ; Roberto Hirata Junior ; Ronaldo Fumio Hashimoto
• Associated researchers: 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
• Associated research grant(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
• Associated scholarship(s): 17/01330-5 - 3D image analysis for realistic modeling and simulation of biomass conversion processes, BP.PD; 16/22900-1 - Markov decision processes specified by probabilistic logic programming: representation and solution, BP.DD

Abstract

The astonishing fast rate of technology evolution has given rise to a new era of scientific knowledge discovery. This new age of science, known as e-Science, is described as the new great computational and multidisciplinary team science requiring novel methodologies for data storage, modeling and analysis. In particular, the development of transactional and analytical software systems for e-Science applications when viewed from a dynamic systems perspective, presents a number of new computational challenges. Among them are the scientific knowledge discovery processes, which involve frequent changes of requirements for data storage, modeling and analysis. The need to address scientific dynamic systems in order to cope with complex applications of e-Science has woken up the scientific community for the development of robust and evolutionary software systems to meet these new challenges. Dynamical system is the classical mathematical formalism to represent phenomena that evolute with time, which are of great interest in science. In this project, our main goal is to develop computational models and methodologies to support e-Science applications viewed as dynamic systems. Our fundamental research covers three key research areas, namely storage, modeling, and analysis of dynamic systems. These research areas are significant and relevant to the FAPESP e-Science Program since many of the present e-Science challenges are related to the proper treatment of dynamic systems. Hence, we plan to develop and apply computational methodologies that will ease the development of e-Science applications, thereby contributing to the improvement of worldwide scientific knowledge, while respecting legal and ethical restrictions in data management. (AU)

Scientific publications

(66)

(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)

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)

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)

FERNANDO ANDRADE; ASUKA NAKATA; NORIKO GOTOH; ANDRÉ FUJITA. Large miRNA survival analysis reveals a prognostic four-biomarker signature for triple negative breast cancer. GENETICS AND MOLECULAR BIOLOGY, v. 43, n. 1, 2020-03-02. (18/21934-5, 15/01587-0, 16/13422-9)

SANCHES, GUILHERME M.; GRAZIANO MAGALHAES, PAULO S.; DOS SANTOS LUCIANO, ANA C.; CAMARGO, LIVIA A.; FRANCO, HENRIQUE C. J.. Comprehensive assessment of spatial soil variability related to topographic parameters in sugarcane fields. Geoderma, v. 362, MAR 15 2020. (13/50942-2, 18/10225-3, 08/09265-9, 14/14965-0, 15/01587-0)

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)

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)

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)

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)

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)

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)

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)

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)

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, p. 12-pg., 2019-02-28. (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)

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)

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)

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)

GUEVARA, JORGE; HIRATA, ROBERTO, JR.; CANU, STEPHANE; IEEE. Cross product kernels for fuzzy set similarity. 2017 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), v. N/A, p. 6-pg., 2017-01-01. (15/01587-0)

TOVAR, CARLOS R. P.; ARAUJO, ELOI; CARASTAN-SANTOS, DANILO; MARTINS-, DAVID C., JR.; ROZANTE, LUIZ C. S.; IEEE. Finding Attractors in Biological Models Based on Boolean Dynamical Systems Using Hitting Set. 2019 IEEE 19TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE), v. N/A, p. 5-pg., 2019-01-01. (15/01587-0)

CERVANTES, EVELYN PEREZ; COMIN, CESAR HENRIQUE; CESAR JUNIOR, ROBERTO MARCONDES; COSTA, LUCIANO DA FONTOURA; IEEE. Data-oriented neuron classification from their parts. PROCEEDINGS OF THE 2016 IEEE 12TH INTERNATIONAL CONFERENCE ON E-SCIENCE (E-SCIENCE), v. N/A, p. 8-pg., 2016-01-01. (11/50761-2, 15/18942-8, 15/01587-0)

DA SILVA, WILSON DANIEL; GUAREIS DE FARIAS, CLEVER RICARDO; IEEE. Support for accessibility, reproducibility and transparency in a service-oriented gene expression analysis platform. 2019 IEEE 32ND INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., 2019-01-01. (15/01587-0)

FERREIRA, JOAO E.; TAKECIAN, PEDRO L.; KAMAURA, LEONARDO T.; PADILHA, BRUNO; PU, CALTON; IEEE. Dependency Management with WED-flow Techniques and Tools: A Case Study. 2017 IEEE 3RD INTERNATIONAL CONFERENCE ON COLLABORATION AND INTERNET COMPUTING (CIC), v. N/A, p. 10-pg., 2017-01-01. (13/21728-2, 15/01587-0, 15/03932-7, 15/01798-1)

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)

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