O segredo de jogar futebol: Brasil versus Holanda

• Processo: 16/50250-1
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Data de Início da vigência: 01 de agosto de 2017
• Data de Término da vigência: 31 de julho de 2022
• Área do conhecimento: Ciências Exatas e da Terra - Ciência da Computação - Metodologia e Técnicas da Computação
• Acordo de Cooperação: Organização Holandesa para a Pesquisa Científica (NWO)
• Pesquisador responsável: Sergio Augusto Cunha
• Beneficiário: Sergio Augusto Cunha
• Pesquisador Responsável no exterior: Koen Lemmink
• Instituição Parceira no exterior: University of Groningen, Holanda
• Instituição Sede: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brasil
• Pesquisadores principais: Claudio Alexandre Gobatto ; Fúlvia de Barros Manchado Gobatto
• Auxílio(s) vinculado(s): 18/15178-3 - Colaboração humano-computador para a geração de estratégias de futebol usando simulações multi-agentes, AP.R SPRINT; 17/20945-0 - EMU concedido no processo 16/50250-1: local positioning system, AP.EMU
• Bolsa(s) vinculada(s): 19/20894-2 - Corrida atada máxima aplicada a jogadores de futebol e indivíduos ativos em dois cenários: investigações sobre potência mecânica e oxigenação em músculos mais e menos ativos por modelo de redes complexas, BP.DD; 19/16253-1 - Desvendando o segredo do futebol Brasileiro e Holandês, capturando elementos de estilo de jogo e estratégias de sucesso, BP.PD; 19/10666-2 - A pré-ativação de músculos inspiratórios potencializa a força, velocidade e potência de jogadores de futebol? Análise dos sinais mecânicos e fisiológicos por modelo computacional, BP.DD; + mais bolsas vinculadas 19/02286-5 - Análises metabolômica e proteômica em jogadores de futebol: relações com as capacidades aeróbia e anaeróbia, BP.DD; 18/19007-9 - Descobrindo séries temporais dos dribles em um cenário físico-tático-técnico durante jogos profissionais oficiais, BE.PQ; 17/24005-2 - Inferência relacional temporal com redes neurais, BP.DR - menos bolsas vinculadas
• Assunto(s): Análise de séries temporais Análise de dados Desempenho atlético Esportes por equipe Futebol Jogadores de futebol Talento esportivo Brasil Holanda
• Palavra(s)-Chave do Pesquisador: Game Analysis | Player S Performance | Positional Data | Soccer | Spatio Temporal Patterns | Talent Development

Resumo

O desafio científico está relacionado em detalhar o futebol brasileiro e holandês a partir da captura de elementos relacionados ao sucesso de jogo de ambos os países combinando áreas de análises de dados, ciências da computação e do esporte. Ferramentas sugeridas pela literatura e novos modelos de análise serão desenvolvidos e selecionados para a busca dos elementos relacionados ao sucesso no futebol. Um grande conjunto de recursos será obtido a partir dos vários conjuntos de dados brasileiros e holandeses. Subsequentemente, as mesmas características serão usadas para comparar os estilos de jogo entre os dois países. As características do jogo vão ser abordadas de duas formas. A primeira (liderada pela equipe brasileira da Ciência da Computação) diz respeito a recursos que captam a dinâmica de jogo e caracterizar aspectos físicos, técnicos e táticos. A segunda (coordenada pela equipe holandesa) vai se concentrar em como um ataque é construído, e como eventos-chave (chutes a gol, transições de defensores para meio-campistas) podem ajudar a caracterizá-lo. Para a comparação entre os dados dos países serão coletadas informações em diferentes categorias no Brasil e Holanda durante jogos oficiais. Os dados serão coletados por meio do Sistema de Medição de Posição Local (LPM), por razões de precisão e consistência. A ciência aplicada parte desta proposta se concentra em fazer a ponte entre a ciência fundamental e prática do futebol, isto é, técnicos, treinadores, clubes e federações. Os resultados da parte fundamental serão implementados em uma plataforma para treinadores, uma aplicação de software que treinadores e técnicos podem usar para: 1) decidir sobre a sua estratégia antes de um jogo; 2) analisar o comportamento do jogador e equipe durante um jogo; 3) escolher formas de sistemas de jogo para melhorar o comportamento da equipe e do jogador. (AU)

Publicações científicas

(64)

(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)

PALUCCI VIEIRA, LUIZ H.; AQUINO, RODRIGO; MOURA, FELIPE A.; DE BARROS, RICARDO M. L.; ARPINI, VITOR M.; OLIVEIRA, LUCAS P.; BEDO, BRUNO L. S.; SANTIAGO, PAULO R. P.. TEAM DYNAMICS, RUNNING, AND SKILL-RELATED PERFORMANCES OF BRAZILIAN U11 TO PROFESSIONAL SOCCER PLAYERS DURING OFFICIAL MATCHES. JOURNAL OF STRENGTH AND CONDITIONING RESEARCH, v. 33, n. 8, p. 2202-2216, AUG 2019. (17/20945-0, 16/50250-1)

CORDOVA NEIRA, MANUEL ALBERTO; MENDES JUNIOR, PEDRO RIBEIRO; ROCHA, ANDERSON; TORRES, RICARDO DA SILVA. Data-Fusion Techniques for Open-Set Recognition Problems. IEEE ACCESS, v. 6, p. 21242-U24, 2018. (14/50715-9, 17/20945-0, 16/50250-1, 13/50155-0, 15/24494-8, 14/12236-1, 17/12646-3, 13/50169-1)

WILSON, ROBBIE S.; SMITH, NICHOLAS M. A.; PEREIRA SANTIAGO, PAULO ROBERTO; CAMATA, THIAGO; RAMOS, SOLANGE DE PAULA; CAETANO, FABIO GIULIANO; CUNHA, SERGIO AUGUSTO; SANDES DE SOUZA, ANA PAULA; MOURA, FELIPE ARRUDA. Predicting the defensive performance of individual players in one vs. one soccer games. PLoS One, v. 13, n. 12, DEC 31 2018. (16/50250-1, 17/20945-0)

PEREIRA, VANESSA H.; GOBATTO, CLAUDIO A.; LEWIS, THEODORE G.; RIBEIRO, LUIZ F. P.; BECK, WLADIMIR R.; DOS REIS, IVAN G. M.; SOUSA, FILIPE A. B.; MANCHADO-GOBATTO, FULVIA B.. Computational and Complex Network Modeling for Analysis of Sprinter Athletes' Performance in Track Field Tests. FRONTIERS IN PHYSIOLOGY, v. 9, JUL 6 2018. (09/08535-5, 18/11996-3, 16/50250-1, 12/06355-2)

PALUCCI VIEIRA, LUIZ H.; BARBIERI, FABIO A.; KELLIS, ELEFTHERIOS; OLIVEIRA, LUCAS; AQUINO, RODRIGO; CUNHA, SERGIO; BEDO, BRUNO; MANECHINI, JOAO; SANTIAGO, PAULO. Organisation of instep kicking in young U11 to U20 soccer players. SCIENCE AND MEDICINE IN FOOTBALL, v. 5, n. 2, p. 111-120, APR 3 2021. (16/50250-1, 18/02965-7)

CORDOVA, MANUEL; PINTO, ALLAN; HELLEVIK, CHRISTINA CARROZZO; ALALIYAT, SALEH ABDEL-AFOU; HAMEED, IBRAHIM A.; PEDRINI, HELIO; TORRES, RICARDO DA S.. itter Detection with Deep Learning: A Comparative Stud. ENSOR, v. 22, n. 2, JAN 2022. (15/24494-8, 19/17729-0, 19/16253-1, 14/12236-1, 16/50250-1, 17/20945-0, 19/22262-3)

GUIMARAES PEDRONETTE, DANIEL CARLOS; VALEM, LUCAS PASCOTTI; ALMEIDA, JURANDY; TONES, RICARDO DA S.. Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold Ranking. IEEE Transactions on Image Processing, v. 28, n. 12, p. 5824-5838, DEC 2019. (14/50715-9, 16/50250-1, 17/25908-6, 17/20945-0, 14/12236-1, 16/06441-7, 18/15597-6, 13/50155-0, 17/02091-4, 15/24494-8)

FERREIRA GOMES, LUIZ ALBERTO; TORRES, RICARDO DA SILVA; CORTES, MARIO LTICIO. Bug report severity level prediction in open source software: A survey and research opportunities. INFORMATION AND SOFTWARE TECHNOLOGY, v. 115, p. 58-78, NOV 2019. (14/50715-9, 16/50250-1, 13/50169-1, 14/12236-1, 17/20945-0, 13/50155-0, 15/24494-8)

ESMAEL, AGNALDO APARECIDO; DOS SANTOS, JEFERSSON ALEX; TORRES, RICARDO DA SILVA. On the ensemble of multiscale object-based classifiers for aerial images: a comparative study. MULTIMEDIA TOOLS AND APPLICATIONS, v. 77, n. 19, p. 24565-24592, OCT 2018. (14/50715-9, 16/50250-1, 13/50169-1, 14/12236-1, 17/20945-0, 13/50155-0, 15/24494-8)

OLIVEIRA, ALBERTO; OAKLEY, ERIC; TORRES, RICARDO DA SILVA; ROCHA, ANDERSON. Relevance prediction in similarity-search systems using extreme value theory. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v. 60, p. 236-249, APR 2019. (14/50715-9, 16/50250-1, 17/20945-0, 14/12236-1, 17/12646-3, 13/50155-0, 15/24494-8)

PALUCCI VIEIRA, LUIZ H.; KALVA-FILHO, CARLOS A.; SANTINELLI, FELIPE B.; CLEMENTE, FILIPE M.; CUNHA, SERGIO A.; SCHIMIDT, V, CAROLINE; BARBIERI, FABIO A.. Lateral Preference and Inter-limb Asymmetry in Completing Technical Tasks During Official Professional Futsal Matches: The Role of Playing Position and Opponent Quality. FRONTIERS IN PSYCHOLOGY, v. 12, AUG 19 2021. (17/20945-0, 16/50250-1, 13/08302-6)

CORDOVA, MANUEL; PINTO, ALLAN; PEDRINI, HELIO; TORRES, RICARDO DA SILVA. Pelee-Text plus plus : A Tiny Neural Network for Scene Text Detection. IEEE ACCESS, v. 8, p. 223172-223188, 2020. (17/20945-0, 19/17729-0, 16/50250-1, 19/22262-3, 19/16253-1, 14/12236-1, 15/24494-8)

PALUCCI VIEIRA, LUIZ HENRIQUE; ARINS, FRANCIMARA BUDAL; GUGLIELMO, LUIZ GUILHERME ANTONACCI; DE LUCAS, RICARDO DANTAS; CARMINATTI, LORIVAL JOSE; SANTIAGO, PAULO ROBERTO PEREIRA. Game Running Performance and Fitness in Women's Futsal. INTERNATIONAL JOURNAL OF SPORTS MEDICINE, v. 42, n. 01, p. 74-81, JAN 2021. (16/50250-1, 13/08302-6)

SEGUNDO, MAURICIO PAMPLONA; PINTO, ALLAN; MINETTO, RODRIGO; TORRES, RICARDO DA SILVA; SARKAR, SUDEEP. Measuring Economic Activity From Space: A Case Study Using Flying Airplanes and COVID-19. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 14, p. 7213-7224, 2021. (19/22262-3, 16/50250-1, 14/12236-1, 15/24494-8, 19/16253-1, 19/17729-0)

FADEL, SAMUEL G.; MAIR, SEBASTIAN; DA SILVA TORRES, RICARDO; BREFELD, ULF. Contextual movement models based on normalizing flows. AStA-Advances in Statistical Analysis, AUG 2021. (17/24005-2, 16/50250-1, 15/24494-8, 17/20945-0, 18/19350-5, 19/17729-0)

VARGAS MUNOZ, JAVIER A.; DIAS, ZANONI; TORRES, RICARDO DA SILVA. A genetic programming approach for searching on nearest neighbors graphs. MULTIMEDIA TOOLS AND APPLICATIONS, v. 81, n. 16, p. 24-pg., 2022-03-18. (14/12236-1, 17/20945-0, 13/50155-0, 13/50169-1, 17/12646-3, 15/11937-9, 16/50250-1, 15/24494-8, 17/16246-0, 14/50715-9)

DOURADO, ICARO CAVALCANTE; TABBONE, SALVATORE; TORRES, RICARDO DA SILVA; CONTE, D; RAMEL, JY; FOGGIA, P. Event Prediction Based on Unsupervised Graph-Based Rank-Fusion Models. GRAPH-BASED REPRESENTATIONS IN PATTERN RECOGNITION, GBRPR 2019, v. 11510, p. 11-pg., 2019-01-01. (17/20945-0, 14/50715-9, 14/12236-1, 16/50250-1, 13/50155-0, 15/24494-8)

RASTEIRO, FELIPE MARRONI; DALCHECO MESSIAS, LEONARDO HENRIQUE; MENEZES SCARIOT, PEDRO PAULO; CRUZ, JOAO PEDRO; CETEIN, RAFAEL LUCAS; GOBATTO, CLAUDIO ALEXANDRE; MANCHADO-GOBATTO, FULVIA BARROS. Effects of preferred music on physiological responses, perceived exertion, and anaerobic threshold determination in an incremental running test on both sexes. PLoS One, v. 15, n. 8, AUG 12 2020. (12/06355-2, 16/50250-1, 18/05821-6, 19/10666-2)

GUTIERREZ-CASTILLA, NICOLAS; TORRES, RICARDO DA S.; FALCAO, ALEXANDRE X.; KOZERKE, SEBASTIAN; SCHWITTER, JURG; MASCI, PIER-GIORGIO; MONTOYA-ZEGARRA, JAVIER A.; IEEE. Long-Range Decoder Skip Connections: Exploiting Multi-Context Information for Cardiac Image Segmentation. 2019 32ND SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 8-pg., 2019-01-01. (14/12236-1, 16/50250-1, 17/20945-0, 15/24494-8, 13/50155-0)

PEREIRA, ERICO M.; TORRES, RICARDO DA S.; DOS SANTOS, JEFERSSON A.. A genetic algorithm approach for image representation learning through color quantization. MULTIMEDIA TOOLS AND APPLICATIONS, v. 80, n. 10, p. 15315-15350, APR 2021. (13/50169-1, 16/50250-1, 15/24494-8, 17/20945-0, 13/50155-0, 14/50715-9, 14/12236-1)

DE OLIVEIRA BUENO, MURILO JOSE; CAETANO, FABIO GIULIANO; DE SOUZA, NICOLAU MELO; CUNHA, SERGIO AUGUSTO; MOURA, FELIPE ARRUDA. Variability in tactical behavior of futsal teams from different categories. PLoS One, v. 15, n. 3, MAR 17 2020. (18/19007-9, 16/50250-1, 17/20945-0)

FERREIRA GOMES, LUIZ ALBERTO; TORRES, RICARDO DA SILVA; CORTES, MARIO LUCIO. On the prediction of long-lived bugs: An analysis and comparative study using FLOSS projects. INFORMATION AND SOFTWARE TECHNOLOGY, v. 132, APR 2021. (14/50715-9, 16/50250-1, 14/12236-1, 15/24494-8, 17/20945-0, 13/50155-0)

GUIMARAES PEDRONETTE, DANIEL CARLOS; VALEM, LUCAS PASCOTTI; TORRES, RICARDO DA S.. A BFS-Tree of ranking references for unsupervised manifold learning. PATTERN RECOGNITION, v. 111, MAR 2021. (16/50250-1, 15/24494-8, 13/50155-0, 18/15597-6, 13/50169-1, 17/20945-0, 14/12236-1, 17/25908-6, 14/50715-9)

CAMPANA, JOSE L. FLORES; PINTO, ALLAN; CORDOVA NEIRA, MANUEL ALBERTO; LORGUS DECKER, LUIS GUSTAVO; SANTOS, ANDREZA; CONCEICAO, JHONATAS S.; TORRES, RICARDO DA SILVA. On the Fusion of Text Detection Results: A Genetic Programming Approach. IEEE ACCESS, v. 8, p. 81257-81270, 2020. (19/16253-1, 16/50250-1, 14/50715-9, 17/20945-0, 14/12236-1, 13/50155-0, 15/24494-8)

DIAS, DANIELLE; DIAS, ULISSES; MENINI, NATHALIA; LAMPARELLI, RUBENS; LE MAIRE, GUERRIC; TORRES, RICARDO DA S.. Image-Based Time Series Representations for Pixelwise Eucalyptus Region Classification: A Comparative Study. IEEE Geoscience and Remote Sensing Letters, v. 17, n. 8, p. 1450-1454, AUG 2020. (14/50715-9, 17/20945-0, 16/50250-1, 13/50155-0, 15/24494-8, 14/12236-1)

FADEL, SAMUEL G.; TORRES, RICARDO DA S.. Neural relational inference for disaster multimedia retrieval. MULTIMEDIA TOOLS AND APPLICATIONS, v. 79, n. 35-36, JUL 2020. (14/50715-9, 16/50250-1, 17/24005-2, 17/20945-0, 14/12236-1, 13/50169-1, 13/50155-0, 15/24494-8)

MERLIN, MURILO; PINTO, ALLAN; DE ALMEIDA, ALEXANDRE GOMES; MOURA, FELIPE A.; TORRES, RICARDO DA SILVA; CUNHA, SERGIO AUGUSTO. Classification and determinants of passing difficulty in soccer: a multivariate approach. SCIENCE AND MEDICINE IN FOOTBALL, OCT 2021. (18/19007-9, 19/16253-1, 16/50250-1, 17/20945-0)

DE OLIVEIRA BUENO, MURILO JOSE; SILVA, MAISA; CUNHA, SERGIO AUGUSTO; TOFFEE, RICARDO DA SILVA; MOURA, FELIPE ARRUDA. Multiscale fractal dimension applied to tactical analysis in football: A novel approach to evaluate the shapes of team organization on the pitch. PLoS One, v. 16, n. 9, SEP 1 2021. (18/19007-9, 16/50250-1, 17/20945-0)

WERNECK, RAFAEL DE O.; RAVEAUX, ROMAIN; TABBONE, SALVATORE; TORRES, RICARDO DA S.; BAI, X; HANCOCK, ER; HO, TK; WILSON, RC; BIGGIO, B; ROBLESKELLY, A. Learning Cost Functions for Graph Matching. STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION, S+SSPR 2018, v. 11004, p. 10-pg., 2018-01-01. (14/50715-9, 17/20945-0, 14/12236-1, 16/18429-1, 16/50250-1, 13/50169-1, 13/50155-0, 15/24494-8)

CIRNE, MARCOS; ANDALO, FERNANDA; DIAS, RAFAEL; RESEK, THIAGO; BERTOCCO, GABRIEL; TORRES, RICARDO DA S.; ROCHA, ANDERSON; IEEE. DEEP FACE VERIFICATION FOR SPHERICAL IMAGES. 2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), v. N/A, p. 5-pg., 2019-01-01. (13/50155-0, 14/12236-1, 17/12646-3, 16/50250-1, 15/24494-8, 14/50715-9, 17/20945-0)

MANCHADO-GOBATTO, FULVIA BARROS; TORRES, RICARDO SILVA; MAROSTEGAN, ANITA BRUM; RASTEIRO, FELIPE MARRONI; HARTZ, CHARLINI SIMONI; MORENO, MARLENE APARECIDA; PINTO, ALLAN SILVA; GOBATTO, CLAUDIO ALEXANDRE. Complex Network Model Reveals the Impact of Inspiratory Muscle Pre-Activation on Interactions among Physiological Responses and Muscle Oxygenation during Running and Passive Recovery. BIOLOGY-BASEL, v. 11, n. 7, p. 23-pg., 2022-07-01. (19/20894-2, 16/50250-1, 12/06355-2, 18/05821-6, 19/10666-2, 19/16253-1)

DIAS, DANIELLE; DIAS, ULISSES; MENINI, NATHALIA; LAMPARELLI, RUBENS; LE MAIRE, GUERRIC; TORRES, RICARDO; IEEE. PIXELWISE REMOTE SENSING IMAGE CLASSIFICATION BASED ON RECURRENCE PLOT DEEP FEATURES. 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), v. N/A, p. 4-pg., 2019-01-01. (13/50155-0, 14/12236-1, 16/50250-1, 15/24494-8, 14/50715-9, 17/20945-0)

SANTOS, ELISANGELA SILVA; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA; TORRES, RICARDO DA SILVA; IEEE. PIXELWISE TIME SERIES RETRIEVAL IN PHENOLOGICAL STUDIES. 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), v. N/A, p. 4-pg., 2019-01-01. (13/50169-1, 13/50155-0, 14/12236-1, 16/50250-1, 15/24494-8, 14/50715-9, 17/20945-0)

PINTO, ALLAN; CORDOVA, MANUEL A.; DECKER, LUIS G. L.; FLORES-CAMPANA, JOSE L.; SOUZA, MARCOS R.; DOS SANTOS, ANDREZA A.; CONCEICAO, JHONATAS S.; GAGLIARDI, HENRIQUE F.; LUVIZON, DIOGO C.; TORRES, RICARDO DA S.; et al. PARALLAX MOTION EFFECT GENERATION THROUGH INSTANCE SEGMENTATION AND DEPTH ESTIMATION. 2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), v. N/A, p. 5-pg., 2020-01-01. (19/16253-1, 16/50250-1, 17/12646-3)

GOBATTO, C. A.; TORRES, R. S.; MOURA, F. A.; CUNHA, S. A.; GIOMETTI, C. B.; ARAUJO, G. G.; SOUSA, F. A. B.; MANCHADO-GOBATTO, F. B.. Corresponding Assessment Scenarios in Laboratory and on-Court Tests: Centrality Measurements by Complex Networks Analysis in Young Basketball Players. SCIENTIFIC REPORTS, v. 10, n. 1, p. 10-pg., 2020-05-25. (16/50250-1, 12/06355-2, 09/08535-5, 17/15994-2)

SANTANA, TIAGO M. H. C.; TORRES, RICARDO DA S.; DOS SANTOS, JEFERSSON A.; IEEE. SUPERPIXEL CONTEXT DESCRIPTION BASED ON VISUAL WORDS CO-OCCURRENCE MATRIX. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, v. N/A, p. 4-pg., 2018-01-01. (13/50169-1, 13/50155-0, 14/12236-1, 16/50250-1, 15/24494-8, 14/50715-9, 17/20945-0)

VARGAS MUNOZ, JAVIER A.; DIAS, ZANONI; TORRES, RICARDO S.; ASSOC COMP MACHINERY. A Genetic Programming Approach for Searching on Nearest Neighbors Graphs. ICMR'19: PROCEEDINGS OF THE 2019 ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVAL, v. N/A, p. 5-pg., 2019-01-01. (13/50169-1, 13/50155-0, 14/12236-1, 16/50250-1, 15/24494-8, 14/50715-9, 17/20945-0)

MERLIN, MURILO; CUNHA, SERGIO AUGUSTO; MOURA, FELIPE ARRUDA; TORRES, RICARDO DA SILVA; GONCALVES, BRUNO; SAMPAIO, JAIME. Exploring the determinants of success in different clusters of ball possession sequences in soccer. RESEARCH IN SPORTS MEDICINE, v. 28, n. 3, p. 12-pg., 2020-01-26. (16/50250-1, 17/20945-0, 18/19007-9)

CAETANO, FABIO GIULIANO; DE SOUZA, NICOLAU MELO; BUENO, MURILO JOSE DE OLIVEIRA; CUNHA, SERGIO AUGUSTO; MOURA, FELIPE ARRUDA. Interpersonal interaction during official soccer matches considering the coupling of different playing positions. INTERNATIONAL JOURNAL OF PERFORMANCE ANALYSIS IN SPORT, v. 20, n. 4, JUN 2020. (18/19007-9, 16/50250-1, 17/20945-0)

MERLIN, MURILO; CUNHA, SERGIO AUGUSTO; MOURA, FELIPE ARRUDA; TORRES, RICARDO DA SILVA; GONCALVES, BRUNO; SAMPAIO, JAIME. Exploring the determinants of success in different clusters of ball possession sequences in soccer. RESEARCH IN SPORTS MEDICINE, JAN 2020. (18/19007-9, 16/50250-1, 17/20945-0)

MUNOZ, JAVIER VARGAS; GONCALVES, MARCOS A.; DIAS, ZANONI; TORRES, RICARDO DA S.. Hierarchical Clustering-Based Graphs for Large Scale Approximate Nearest Neighbor Search. PATTERN RECOGNITION, v. 96, DEC 2019. (14/50715-9, 16/50250-1, 17/16246-0, 17/20945-0, 14/12236-1, 13/50169-1, 15/11937-9, 17/12646-3, 13/50155-0, 15/24494-8)

GUEVARA, JUDY C.; TORRES, RICARDO DA S.; DA FONSECA, NELSON L. S.. On the classification of fog computing applications: A machine learning perspective. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, v. 159, JUN 1 2020. (14/50715-9, 16/50250-1, 17/20945-0, 14/12236-1, 13/50169-1, 13/50155-0, 15/24494-8)

UCHOA MAIA RODRIGUES, DANIELE C.; MOURA, FELIPE A.; CUNHA, SERGIO AUGUSTO; TORRES, RICARDO DA S.. Graph visual rhythms in temporal network analyses. GRAPHICAL MODELS, v. 103, MAY 2019. (14/50715-9, 16/50250-1, 13/50169-1, 14/12236-1, 18/19007-9, 17/20945-0, 13/50155-0, 15/24494-8)

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