The secret of playing football: Brazil versus the Netherlands

• Grant number: 16/50250-1
• Support Opportunities: Research Projects - Thematic Grants
• Duration: August 01, 2017 - July 31, 2022
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Convênio/Acordo: Netherlands Organisation for Scientific Research (NWO)
• Principal Investigator: Sergio Augusto Cunha
• Grantee: Sergio Augusto Cunha
• Principal researcher abroad: Koen Lemmink
• Institution abroad: University of Groningen, Netherlands
• Host Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Pesquisadores principais: Claudio Alexandre Gobatto ; Fúlvia de Barros Manchado Gobatto
• Associated grant(s): 18/15178-3 - Human-computer collaboration for the generation of soccer strategies using multi-agent simulations, AP.R SPRINT; 17/20945-0 - Multi-user equipment approved in great 16/50250-1: local positioning system, AP.EMU
• Associated scholarship(s): 19/20894-2 - Maximal tethered running applied to soccer players and active subjects in two scenarios: investigations about mechanical power and oxygenation in more and less active muscles by complex network model, BP.DD; 19/16253-1 - Unraveling the secret of Brazilian and Dutch soccer by capturing successful elements of playing style and playing strategies, BP.PD; 19/10666-2 - Can pre-activation of inspiratory muscles potentiates the force, velocity and power of soccer players? Analysis using mechanical and physiological signals by computational model, BP.DD; + associated scholarships 19/02286-5 - Metabolomic and proteomic analysis in soccer players: relationships with aerobic and anaerobic capacities, BP.DD; 18/19007-9 - Find dribbling time series in a physical-tactical-technical scenario during official professional matches, BE.PQ; 17/24005-2 - Temporal relational reasoning with neural networks, BP.DR - associated scholarships

Abstract

The scientific challenge is about unravelling the secret of Brazilian and Dutch soccer by capturing successful elements of game play of both countries by combining expertise from data science, computer science and sport science. Suggested features from the literature, as well as several novel ones, will be considered and filtered on how they capture success in soccer. A manageable set of features will then be obtained from the various available datasets. Subsequently, the same features will be used to compare playing styles between the two countries. Features of game play will be approached from two different angles. The first angle (spearheaded by the Brazilian Computer Science partner) concerns features that capture the dynamics of game play and characterize aspects of formation on the pitch. The second angle (Lead by the Dutch data science partner) will focus on how an attack is built up, and how key events (shots on goal, transitions from defenders to midfielders) can help to characterize this. For the comparison between countries, data will be collected in four different age categories in Brazil and the Netherlands during official games, in order to compare game play between both countries. Data will be collected by means of the Local Position Measurement System (LPM), for reasons of accuracy and consistency. The applied science part of this proposal is focusing on bridging the gap between fundamental science and soccer practice, i.e. coaches, trainers, clubs and federations. The outcomes of the fundamental part will be implemented in a coach-cockpit, a software application which trainers and coaches can use to: 1) decide upon their strategy before a game; 2) analyses player and team behavior during a game enabling to adjust the strategy accordingly; 3) choose and or design training forms to improve player and team behavior. (AU)

Scientific publications

(64)

(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)

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)

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)

PALUCCI VIEIRA, LUIZ HENRIQUE; CARLING, CHRISTOPHER; BARBIERI, FABIO AUGUSTO; AQUINO, RODRIGO; PEREIRA SANTIAGO, PAULO ROBERTO. Match Running Performance in Young Soccer Players: A Systematic Review. SPORTS MEDICINE, v. 49, n. 2, p. 289-318, FEB 2019. (18/02965-7, 17/20945-0, 16/50250-1)

DE OLIVEIRA BUENO, MURILO JOSE; CAETANO, FABIO GIULIANO; YONEZAWA, MICHELLE KAORI; GRELLA, ANDRE SANTANA; CUNHA, SERGIO AUGUSTO; MOURA, FELIPE ARRUDA. How do futsal players of different categories play during official matches? A tactical approach to players' organization on the court from positional data. PLoS One, v. 13, n. 6, JUN 26 2018. (16/50250-1)

DA CRUZ, JOAO PEDRO; DOS SANTOS, FABIO NEVES; RASTEIRO, FELIPE MARRONI; MAROSTEGAN, ANITA BRUM; MANCHADO-GOBATTO, FULVIA BARROS; GOBATTO, CLAUDIO ALEXANDRE. A Metabolomic Approach and Traditional Physical Assessments to Compare U22 Soccer Players According to Their Competitive Level. BIOLOGY-BASEL, v. 11, n. 8, p. 16-pg., 2022-08-01. (19/02286-5, 19/20894-2, 16/50250-1, 19/10666-2)

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, p. 13-pg., 2020-06-04. (16/50250-1, 17/20945-0, 18/19007-9)

GOMES, LUIZ; TORRES, RICARDO DA SILVA; CORTES, MARIO LUCIO. BERT- and TF-IDF-based feature extraction for long-lived bug prediction in FLOSS: A comparative study. INFORMATION AND SOFTWARE TECHNOLOGY, v. 160, p. 12-pg., 2023-04-20. (13/50155-0, 14/12236-1, 16/50250-1, 15/24494-8, 14/50715-9, 17/20945-0)

BARBON JUNIOR, SYLVIO; PINTO, ALLAN; BARROSO, JOAO VITOR; CAETANO, FABIO GIULIANO; MOURA, FELIPE ARRUDA; CUNHA, SERGIO AUGUSTO; TORRES, RICARDO DA SILVA. port action mining: Dribbling recognition in socce. MULTIMEDIA TOOLS AND APPLICATIONS, v. 81, n. 3, DEC 2021. (18/19007-9, 19/17729-0, 19/16253-1, 16/50250-1, 17/20945-0, 19/22262-3)

TAVARES, EDUARDO A.; TORRES, RICARDO DA S.; DOS SANTOS, JEFERSSON A.; IEEE. EVALUATING DEEP CONTEXTUAL DESCRIPTION OF SUPERPIXELS FOR DETECTION IN AERIAL IMAGES. 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)

MARIANO, GREICE C.; STAGGEMEIER, VANESSA G.; CERDEIRA MORELLATO, LEONOR PATRICIA; TORRES, RICARDO DA S.. Multivariate cyclical data visualization using radial visual rhythms: A case study in phenology analysis. ECOLOGICAL INFORMATICS, v. 46, p. 19-35, JUL 2018. (14/50715-9, 10/51307-0, 17/20945-0, 16/50250-1, 13/50155-0, 15/24494-8, 14/12236-1, 09/18438-7, 13/50169-1)

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)

BELLI, TAISA; MACEDO, DENISE VAZ; DE ARAUJO, GUSTAVO GOMES; MASSELLI DOS REIS, IVAN GUSTAVO; MENEZES SCARIOT, PEDRO PAULO; LAZARIM, FERNANDA LORENZI; SOARES NUNES, LAZARO ALESSANDRO; BRENZIKOFER, RENE; GOBATTO, CLAUDIO ALEXANDRE. Mountain Ultramarathon Induces Early Increases of Muscle Damage, Inflammation, and Risk for Acute Renal Injury. FRONTIERS IN PHYSIOLOGY, v. 9, OCT 8 2018. (09/08535-5, 16/50250-1)

CIRINO, CAROLINA; GOBATTO, CLAUDIO A.; PINTO, ALLAN S.; TORRES, RICARDO S.; HARTZ, CHARLINI S.; AZEVEDO, PAULO H. S. M.; MORENO, MARLENE A.; MANCHADO-GOBATTO, FULVIA B.. Complex network model indicates a positive effect of inspiratory muscles pre-activation on performance parameters in a judo match. SCIENTIFIC REPORTS, v. 11, n. 1, MAY 27 2021. (12/06355-2, 19/16253-1, 16/50250-1, 18/05821-6)

GONCALVES, FILIPE MARCEL FERNANDES; PEDRONETTE, DANIEL CARLOS GUIMARAES; TORRES, RICARDO DA SILVA. Regression by Re-Ranking. PATTERN RECOGNITION, v. 140, p. 17-pg., 2023-04-09. (13/50155-0, 18/15597-6, 14/12236-1, 16/50250-1, 15/24494-8, 17/25908-6, 17/20945-0)

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)

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)

DE ANDRADE, V. L.; PALUCCI VIEIRA, L. H.; KALVA-FILHO, C. A.; SANTIAGO, P. R. P.. Critical points of performance in repeated sprint: A kinematic approach. SCIENCE & SPORTS, v. 36, n. 4, SEP 2021. (13/08302-6, 10/20538-7, 16/50250-1)

MAROSTEGAN, ANITA B.; GOBATTO, CLAUDIO A.; RASTEIRO, FELIPE M.; HARTZ, CHARLINI S.; MORENO, MARLENE A.; MANCHADO-GOBATTO, FULVIA B.. Effects of different inspiratory muscle warm-up loads on mechanical, physiological and muscle oxygenation responses during high-intensity running and recovery. SCIENTIFIC REPORTS, v. 12, n. 1, p. 13-pg., 2022-07-02. (19/20894-2, 19/10666-2, 16/50250-1, 12/06355-2, 18/05821-6, 09/08535-5)

DA CRUZ, JOAO PEDRO; DALCHECO MESSIAS, LEONARDO HENRIQUE; CETEIN, RAFAEL LUCAS; RASTEIRO, FELIPE MARRONI; GOBATTO, CLAUDIO ALEXANDRE; MANCHADO-GOBATTO, FULVIA BARROS. Anaerobic and Agility Parameters of Salonists in Laboratory and Field Tests. INTERNATIONAL JOURNAL OF SPORTS MEDICINE, v. 41, n. 7, p. 450-460, JUN 2020. (13/16710-7, 09/08535-5, 16/50250-1, 18/05821-6, 19/02286-5)

DOURADO, ICARO CAVALCANTE; TONES, RICARDO DA SILVA; IEEE. Learning Vocabularies to Embed Graphs in Multimodal Rank Aggregation Tasks. 2021 INTERNATIONAL CONFERENCE ON CONTENT-BASED MULTIMEDIA INDEXING (CBMI), v. N/A, p. 6-pg., 2021-01-01. (16/50250-1, 14/12236-1, 17/20945-0, 15/24494-8)

SILVA, EWERTON; TORRES, RICARDO S.; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; SILVA, THIAGO S. F.. A Change-Driven Image Foveation Approach for Tracking Plant Phenology. REMOTE SENSING, v. 12, n. 9, MAY 2020. (14/50715-9, 14/00215-0, 16/50250-1, 17/20945-0, 14/12236-1, 13/50155-0, 15/24494-8, 16/01413-5)

SILVA, EWERTON; TORRES, RICARDO DA S.; PINTO, ALLAN; LI, LIN TZY; VIANNA, JOSE EDUARDO S.; AZEVEDO, RODOLFO; GOLDENSTEIN, SIOME. Application-Oriented Retinal Image Models for Computer Vision. SENSORS, v. 20, n. 13, JUL 2020. (14/12236-1, 13/50155-0, 16/50250-1, 14/50715-9, 17/20945-0)

MANCHADO-GOBATTO, F. B.; MAROSTEGAN, A. B.; RASTEIRO, F. M.; CIRINO, C.; CRUZ, J. P.; MORENO, M. A.; GOBATTO, C. A.. New Insights into Mechanical, Metabolic and Muscle Oxygenation Signals During and After High-Intensity Tethered Running. SCIENTIFIC REPORTS, v. 10, n. 1, APR 14 2020. (09/08535-5, 18/05821-6, 16/50250-1, 12/06355-2)

DIAS, DANIELLE; PINTO, ALLAN; DIAS, ULISSES; LAMPARELLI, RUBENS; LE MAIRE, GUERRIC; TORRES, RICARDO DA S.. A Multirepresentational Fusion of Time Series for Pixelwise Classification. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 13, p. 4399-4409, 2020. (19/16253-1, 14/50715-9, 17/20945-0, 14/12236-1, 13/50155-0, 15/24494-8)

CAETANO, FABIO GIULIANO; BARBON JUNIOR, SYLVIO; TORRES, RICARDO DA SILVA; CUNHA, SERGIO AUGUSTO; RUFFINO, PAULO REGIS CARON; MARTINS, LUIZ EDUARDO BARRETO; MOURA, FELIPE ARRUDA. Football player dominant region determined by a novel model based on instantaneous kinematics variables. SCIENTIFIC REPORTS, v. 11, n. 1, SEP 14 2021. (16/50250-1, 17/20945-0, 18/19007-9)

CAETANO, FABIO GIULIANO; DA SILVA, VITOR PANULA; TORRES, RICARDO DA SILVA; ANIDO, RICARDO DE OLIVEIRA; CUNHA, SERGIO AUGUSTO; MOURA, FELIPE ARRUDA. Analysis of Match Dynamics of Different Soccer Competition Levels Based on The Player Dyads. Journal of Human Kinetics, v. 70, n. 1, p. 173-182, NOV 2019. (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)

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)

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)

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)

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)

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)

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)

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)

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.; 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)

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)

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)

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)

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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)

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