Eduardo S. Ogasawara

133 papers A 1B 14C 2Misc 3Journal 48Unranked 62

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Fuzzy-Based Ensemble Method for Robust Concept Drift Detection in Multivariate Time Series. IJCNN Lucas Giusti Tavares, Janio Lima, Matheus Melo, Chao Chen, Jon Garibaldi, Gabriel dos Santos Scatena, Anna Helena Reali Costa, Edson Satoshi Gomi, Rebecca Salles, Esther Pacitti, Ismael H. F. dos Santos, Isabela Guimarães Siqueira, Diego Carvalho, Rafaelli Coutinho, Fábio Porto, Eduardo S. Ogasawara
2025	J	`jnl`	ProBee: A Provenance-based Design for an Educational Game Analytics Model. Technol. Knowl. Learn. Flávio Marques, Leonardo Lignani, João Quadros, Myrna Amorim, Windson Viana, Eduardo S. Ogasawara, Joel A. F. dos Santos
2025	J	`jnl`	Scalable and accurate online multivariate anomaly detection. Inf. Syst. Rebecca Salles, Benoit Lange, Reza Akbarinia, Florent Masseglia, Eduardo S. Ogasawara, Esther Pacitti
2025	C	`conf`	Towards a Spatiotemporal Fusion Approach to Precipitation Nowcasting. FUSION Felipe Curcio, Pedro Castro, Augusto José Fonseca, Rafaela Castro, Raquel Franco, Eduardo S. Ogasawara, Victor Stepanenko, Fábio Porto, Mariza Ferro, Eduardo Bezerra
2025	J	`jnl`	Towards a Spatiotemporal Fusion Approach to Precipitation Nowcasting. CoRR Felipe Curcio, Pedro Castro, Augusto José Fonseca, Rafaela Castro, Raquel Franco, Eduardo S. Ogasawara, Victor Stepanenko, Fábio Porto, Mariza Ferro, Eduardo Bezerra
2024	J	`jnl`	A Data-Driven Model Selection Approach to Spatio-Temporal Prediction. Trans. Large Scale Data Knowl. Centered Syst. Rocío Zorrilla, Eduardo S. Ogasawara, Patrick Valduriez, Fábio Porto
2024	—	`conf`	A Digital Twin System for Oil And Gas Industry: A Use Case on Mooring Lines Integrity Monitoring. MoDELS (Companion) Vinicius Kreischer de Almeida, Douglas Ericson Marcelino de Oliveira, Claudio Daniel Tenorio de Barros, Gabriel dos Santos Scatena, Asdrubal N. Queiroz Filho, Fábio Levy Siqueira, Anna Helena Reali Costa, Edson Satoshi Gomi, Leonardo A. F. Mendoza, Evelyn Conceição Santos Batista, Cristian E. Muñoz, Isabela Guimarães Siqueira, Rodrigo A. Barreira, Ismael H. F. dos Santos, Carlos Cardoso, Eduardo S. Ogasawara, Fábio Porto
2024	—	`conf`	Apresentação e Organização. SBBD Eduardo S. Ogasawara, Carlos Eduardo S. Pires
2024	—	`conf`	Avaliação de Desvios de Conceitos Reais e Virtuais nos Atrasos de Voos em São Paulo nos Períodos Pré, Intra e Pós-Pandemia. SBBD Fabiana Santos, Lucas Giusti Tavares, Diego Carvalho, Eduardo S. Ogasawara, Jorge Soares
2024	—	`conf`	Cutoff Frequency Adjustment for FFT-Based Anomaly Detectors. SBBD Ellen Paixão Silva, Helga Dolorico Balbi, Esther Pacitti, Fábio Porto, Joel A. F. dos Santos, Eduardo S. Ogasawara
2024	—	`conf`	Diferenciando Perfis de Corredores por Meio de Pontos de Mudança nos Treinos. SBBD Nathália Tito, Balthazar Paixão, Lucas Giusti Tavares, Eduardo S. Ogasawara, Glauco Fiorott Amorim
2024	J	`jnl`	Evaluation of the Brazilian Portuguese version of linguistic inquiry and word count 2015 (BP-LIWC2015). Lang. Resour. Evaluation Flavio Carvalho, Fabio Paschoal Junior, Eduardo S. Ogasawara, Lilian Ferrari, Gustavo Paiva Guedes
2024	—	`conf`	HD Pump: A Hybrid Detection Approach for Pump-and-Dump Schemes in Cryptocurrency Exchanges. SBBD Matheus S. Moura, Laís Baroni, Eduardo S. Ogasawara, Diogo S. Mendonça
2024	—	`conf`	Matching Detections to Events in Time Series. SBBD Michel Reis, Rebecca Salles, Geraldo Xexéo, Rafaelli Coutinho, Eduardo S. Ogasawara
2024	B	`conf`	Online Event Detection in Streaming Time Series: Novel Metrics and Practical Insights. IJCNN Janio Lima, Lucas Giusti Tavares, Esther Pacitti, João Eduardo Ferreira, Ismael Santos, Isabela Guimarães Siqueira, Diego Carvalho, Fábio Porto, Rafaelli Coutinho, Eduardo S. Ogasawara
2024	—	`conf`	Previsão de Sucesso de Atletas Jovens de Futebol usando Integração de diferentes Base de Dados. SBBD Lucas Calmon, Rodrigo Ferro, Carlos Pereira, Caio Souza, Lucas Giusti Tavares, Glauco Amorim, Eduardo S. Ogasawara
2024	—	`ed.`	Proceedings of the 39th Brazilian Symposium on Databases, SBBD 2024, Florianópolis, SC, Brazil, October 14-17, 2024. SBBD Carlos Eduardo S. Pires, Humberto Luiz Razente, Eduardo S. Ogasawara
2024	B	`conf`	REMD: A Novel Hybrid Anomaly Detection Method Based on EMD and ARIMA. IJCNN Jéssica Souza, Ellen Paixão Silva, Fernando Fraga, Laís Baroni, Ronaldo Fernandes Santos Alves, Kele T. Belloze, Joel A. F. dos Santos, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara
2024	J	`jnl`	SoftED: Metrics for soft evaluation of time series event detection. Comput. Ind. Eng. Rebecca Salles, Janio Lima, Michel Reis, Rafaelli Coutinho, Esther Pacitti, Florent Masseglia, Reza Akbarinia, Chao Chen, Jonathan M. Garibaldi, Fábio Porto, Eduardo S. Ogasawara
2024	J	`jnl`	StreamEnsemble: Predictive Queries over Spatiotemporal Streaming Data. CoRR Anderson Chaves da Silva, Eduardo S. Ogasawara, Patrick Valduriez, Fábio Porto
2023	J	`jnl`	Applying Gestalt approach as a method for teaching computer science practice in the classroom: A case study in primary schools in Brazil. Educ. Inf. Technol. André Vasconcelos, Jomar Monsores, Tania Almeida, Laura Quadros, Eduardo S. Ogasawara, João Quadros
2023	—	`conf`	Apresentação e Organização. SBBD Daniel S. Kaster, Eduardo S. Ogasawara
2023	—	`conf`	Data Science Platform Applied to Health in Contribution to the Brazilian Unified Health System. VLDB Workshops Marcel Pedroso, Rebecca Salles, Raphael de Freitas Saldanha, Vinicius Kreischer de Almeida, Gabriel Souto, Balthazar Paixão, Sérgio Ricardo de Borba Cruz, Carlos Cardoso, Víctor Ribeiro, Raquel Gritz, Carmen Bonifácio, Matheus Miloski, Carlos Augusto de Sousa, Gizelton Pereira Alencar, Ariane Alves, Nelson Niero Neto, Letícia Sabbadini, Eduardo S. Ogasawara, Christovam Barcellos, Fábio Porto, Lucas Zinato Carraro, Jefferson Lima
2023	J	`jnl`	Life Science Workflow Services (LifeSWS): Motivations and Architecture. Trans. Large Scale Data Knowl. Centered Syst. Reza Akbarinia, Christophe Botella, Alexis Joly, Florent Masseglia, Marta Mattoso, Eduardo S. Ogasawara, Daniel de Oliveira, Esther Pacitti, Fábio Porto, Christophe Pradal, Dennis E. Shasha, Patrick Valduriez
2023	J	`jnl`	SoftED: Metrics for Soft Evaluation of Time Series Event Detection. CoRR Rebecca Salles, Janio Lima, Rafaelli Coutinho, Esther Pacitti, Florent Masseglia, Reza Akbarinia, Chao Chen, Jonathan M. Garibaldi, Fábio Porto, Eduardo S. Ogasawara
2023	J	`jnl`	TSPredIT: Integrated Tuning of Data Preprocessing and Time Series Prediction Models. Trans. Large Scale Data Knowl. Centered Syst. Rebecca Salles, Esther Pacitti, Eduardo Bezerra, Celso Marques, Carla Pacheco, Carla Oliveira, Fábio Porto, Eduardo S. Ogasawara
2023	J	`jnl`	Towards accurate recommendations of merge conflicts resolution strategies. Inf. Softw. Technol. Paulo Elias, Heleno de S. Campos Junior, Eduardo S. Ogasawara, Leonardo Gresta Paulino Murta
2022	—	`conf`	A Data-Driven Model Selection Approach to Spatio-Temporal Prediction. SBBD Rocío Zorrilla, Eduardo S. Ogasawara, Patrick Valduriez, Fábio Porto
2022	J	`jnl`	A horizontal partitioning-based method for frequent pattern mining in transport timetable. Expert Syst. J. Knowl. Eng. Claudio Teixeira, Luana Fragoso, Marta Mattoso, Diego Carvalho, Eduardo Bezerra, Jorge Soares, Glauco Amorim, Eduardo S. Ogasawara
2022	J	`jnl`	Analyzing flight delay prediction under concept drift. Evol. Syst. Lucas Giusti Tavares, Leonardo Carvalho, Antônio Tadeu A. Gomes, Rafaelli Coutinho, Jorge Soares, Eduardo S. Ogasawara
2022	B	`conf`	Forward and Backward Inertial Anomaly Detector: A Novel Time Series Event Detection Method. IJCNN Janio Lima, Rebecca Salles, Fábio Porto, Rafaelli Coutinho, Pedro Alpis, Luciana E. G. Escobar, Esther Pacitti, Eduardo S. Ogasawara
2022	J	`jnl`	Machine Learning Approaches to Extreme Weather Events Forecast in Urban Areas: Challenges and Initial Results. Supercomput. Front. Innov. Fábio Porto, Mariza Ferro, Eduardo S. Ogasawara, Thiago Moeda, Claudio Daniel Tenorio de Barros, Anderson Chaves da Silva, Rocío Zorrilla, Rafael Silva Pereira, Rafaela Nascimento Castro, João Victor Silva, Rebecca Salles, Augusto José Fonseca, Juliana Hermsdorff, Marcelo Magalhães, Vitor Sá, Adolfo Simões, Carlos Cardoso, Eduardo Bezerra
2022	J	`jnl`	TSPred: A framework for nonstationary time series prediction. Neurocomputing Rebecca Salles, Esther Pacitti, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara
2022	—	`conf`	Towards Robust Cluster-Based Hyperparameter Optimization. SBBD Leonardo Izaú, Mariana Fortes, Vítor Ribeiro, Celso Marques, Carla Oliveira, Eduardo Bezerra, Fábio Porto, Rebecca Salles, Eduardo S. Ogasawara
2021	J	`jnl`	Analyzing Flight Delay Prediction Under Concept Drift. CoRR Lucas Giusti Tavares, Leonardo Carvalho, Antônio Tadeu A. Gomes, Rafaelli Coutinho, Jorge Soares, Eduardo S. Ogasawara
2021	—	`conf`	Análise de métodos de tratamento de outliers para predição dos retornos de índices de ações negociados em bolsa. SBBD Cristiane Gea, Janio Lima, Eduardo Bezerra, Eduardo S. Ogasawara
2021	B	`conf`	DJEnsemble: a Cost-Based Selection and Allocation of a Disjoint Ensemble of Spatio-temporal Models. SSDBM Rafael S. Pereira, Yania Molina Souto, Anderson Chaves da Silva, Rocío Zorilla, Brian Tsan, Florin Rusu, Eduardo S. Ogasawara, Artur Ziviani, Fábio Porto
2021	J	`jnl`	Estimation of COVID-19 Under-Reporting in the Brazilian States Through SARI. New Gener. Comput. Balthazar Paixão, Laís Baroni, Marcel Pedroso, Rebecca Salles, Luciana E. G. Escobar, Carlos de Sousa, Raphael de Freitas Saldanha, Jorge Soares, Rafaelli Coutinho, Fábio Porto, Eduardo S. Ogasawara
2021	J	`jnl`	Evaluating Temporal Bias in Time Series Event Detection Methods. J. Inf. Data Manag. Luciana E. G. Escobar, Rebecca Salles, Janio Lima, Cristiane Gea, Laís Baroni, Artur Ziviani, Paulo F. Pires, Flávia Coimbra Delicato, Rafaelli Coutinho, Laura Assis, Eduardo S. Ogasawara
2021	—	`conf`	Generalização de Mineração de Sequências Restritas no Espaço e no Tempo. SBBD Antonio Castro, Heraldo Borges, Riccardo Campisano, Esther Pacitti, Fábio Porto, Rafaelli Coutinho, Eduardo S. Ogasawara
2021	—	`conf`	Requirements for an Ontology of Digital Twins. SEMANTiCS (Posters & Demos) Claudio Daniel Tenorio de Barros, Rebecca Salles, Eduardo S. Ogasawara, Giancarlo Guizzardi, Fábio Porto
2021	J	`jnl`	STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for weather forecasting. Neurocomputing Rafaela Castro, Yania Molina Souto, Eduardo S. Ogasawara, Fábio Porto, Eduardo Bezerra
2021	J	`jnl`	Wrapper algorithm for choosing machine learning functions and methods in SSAS. J. Comput. Sci. Coll. Kelsey Buckles, Eduardo Bezerra, Eduardo S. Ogasawara, Mário Guimarães
2020	J	`jnl`	An analysis of malaria in the Brazilian Legal Amazon using divergent association rules. J. Biomed. Informatics Laís Baroni, Rebecca Salles, Samella Salles, Gustavo Paiva Guedes, Fábio Porto, Eduardo Bezerra, Christovam Barcellos, Marcel Pedroso, Eduardo S. Ogasawara
2020	J	`jnl`	DJEnsemble: On the Selection of a Disjoint Ensemble of Deep Learning Black-Box Spatio-temporal Models. CoRR Yania Molina Souto, Rafael S. Pereira, Rocío Zorrilla, Anderson Chaves da Silva, Brian Tsan, Florin Rusu, Eduardo S. Ogasawara, Artur Ziviani, Fábio Porto
2020	—	`conf`	Estimating the Execution Time of the Coupled Stage in Multiscale Numerical Simulations. CARLA Juan H. L. Fabian, Antônio Tadeu A. Gomes, Eduardo S. Ogasawara
2020	J	`jnl`	Estimation of COVID-19 under-reporting in Brazilian States through SARI. CoRR Balthazar Paixão, Laís Baroni, Rebecca Salles, Luciana E. G. Escobar, Carlos de Sousa, Marcel Pedroso, Raphael de Freitas Saldanha, Rafaelli Coutinho, Fábio Porto, Eduardo S. Ogasawara
2020	—	`conf`	Harbinger: Um framework para integração e análise de métodos de detecção de eventos em séries temporais. SBBD Rebecca Salles, Luciana E. G. Escobar, Laís Baroni, Roccio Zorrilla, Artur Ziviani, Vincius Kreischer, Flávia Coimbra Delicato, Paulo F. Pires, Luciano Maia, Rafaelli Coutinho, Laura Assis, Eduardo S. Ogasawara
2020	J	`jnl`	Spatial-time motifs discovery. Intell. Data Anal. Heraldo Borges, Murillo Dutra, Amin Bazaz, Rafaelli Coutinho, Fabio Perosi, Fábio Porto, Florent Masseglia, Esther Pacitti, Eduardo S. Ogasawara
2020	J	`jnl`	Supporting the Learning of Evolution Theory Using an Educational Simulator. IEEE Trans. Learn. Technol. Josué Cardoso, Diego Caetano, Raphael Abreu, João Quadros, Joel A. F. dos Santos, Eduardo S. Ogasawara, Leonardo Lignani
2020	—	`conf`	Wind Turbine Fault Detection: A Semi-Supervised Learning Approach With Automatic Evolutionary Feature Selection. IWSSIP Fernando P. G. de Sá, Diego N. Brandão, Eduardo S. Ogasawara, Rafaelli de C. Coutinho, Rodrigo F. Toso
2019	—	`conf`	A Conceptual Vision Toward the Management of Machine Learning Models. ER Forum/Posters/Demos Daniel Nascimento Ramos da Silva, Adolfo Simões, Carlos Cardoso, Douglas E. M. de Oliveira, João N. Rittmeyer, Klaus Wehmuth, Hermano Lustosa, Rafael S. Pereira, Yania Molina Souto, Luciana E. G. Vignoli, Rebecca Salles, Heleno de S. C. Jr, Artur Ziviani, Eduardo S. Ogasawara, Flávia Coimbra Delicato, Paulo de Figueiredo Pires, Hardy Leonardo da Cunha Pereira Pinto, Luciano Maia, Fábio Porto
2019	—	`conf`	A Science Gateway to Support Research in Spectral Graph Theory. SBBD Daniel de Oliveira, Carlos Magno Abreu, Eduardo S. Ogasawara, Eduardo Bezerra, Leonardo Silva de Lima
2019	—	`conf`	Discovering patterns in sentimental analysis. WebMedia Flavio Carvalho, Leonardo Ferreira dos Santos, Heraldo Borges, Eduardo S. Ogasawara, Gustavo Paiva Guedes
2019	—	`conf`	Modelo Autorregressivo de Integração Adaptativa. SBBD Arthur Ronald, Rebecca Salles, Kele T. Belloze, Dayse H. Pastore, Eduardo S. Ogasawara
2019	J	`jnl`	Nonstationary time series transformation methods: An experimental review. Knowl. Based Syst. Rebecca Salles, Kele T. Belloze, Fábio Porto, Pedro H. Gonzalez, Eduardo S. Ogasawara
2019	J	`jnl`	STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting. CoRR Rafaela C. Nascimento, Yania Molina Souto, Eduardo S. Ogasawara, Fábio Porto, Eduardo Bezerra
2018	—	`conf`	Constellation Queries over Big Data. SBBD Fábio Porto, Amir Khatibi, João N. Rittmeyer, Eduardo S. Ogasawara, Patrick Valduriez, Dennis E. Shasha
2018	C	`conf`	Control and Security System for Classroom Access Based on Facial Recognition. CLEI Cedric Monteiro, Eduardo S. Ogasawara, Laercio Gonçalves, João Roberto de Toledo Quadros
2018	—	`conf`	Detecção de Anomalias Frequentes no Transporte Rodoviário Urbano. SBBD Ana Beatriz Cruz, João Antonio Ferreira, Diego Carvalho, Eduardo Mendes, Esther Pacitti, Rafaelli Coutinho, Fábio Porto, Eduardo S. Ogasawara
2018	B	`conf`	Discovering Tight Space-Time Sequences. DaWaK Riccardo Campisano, Heraldo Borges, Fábio Porto, Fabio Perosi, Esther Pacitti, Florent Masseglia, Eduardo S. Ogasawara
2018	—	`conf`	Evaluating the Complementarity of Communication Tools for Learning Platforms. CSEDU (2) Leonardo Carvalho, Laura Assis, Leonardo Silva de Lima, Eduardo Bezerra, Gustavo Paiva Guedes, Artur Ziviani, Fábio Porto, Rafael Barbastefano, Eduardo S. Ogasawara
2018	B	`conf`	On Evaluating Data Preprocessing Methods for Machine Learning Models for Flight Delays. IJCNN Leonardo Moreira, Christofer Dantas, Leonardo Oliveira, Jorge Soares, Eduardo S. Ogasawara
2018	—	`conf`	Orthographic Educational Game for Portuguese Language Countries. CSEDU (2) Paula Chaves, Luan Paschoal, Tauan Velasco, Tiago Bento, Julliany S. Brandão, Carlos Schocair, João Quadros, Talita Oliveira, Eduardo S. Ogasawara
2018	B	`conf`	Point pattern search in big data. SSDBM Fábio Porto, João N. Rittmeyer, Eduardo S. Ogasawara, Alberto Krone-Martins, Patrick Valduriez, Dennis E. Shasha
2018	—	`ed.`	Proceedings of the Latin America Data Science Workshop co-located with 44th International Conference on Very Large Data Bases (VLDB 2018), Rio de Janeiro, Brazil, Aug 27, 2018. LADaS@VLDB Artur Ziviani, Carmem S. Hara, Eduardo S. Ogasawara, José Antônio Fernandes de Macêdo, Patrick Valduriez
2018	—	`conf`	Rumo à Integração da Álgebra de Workflows com o Processamento de Consulta Relacional. SBBD João Antonio Ferreira, Jorge Soares, Fábio Porto, Esther Pacitti, Rafaelli Coutinho, Eduardo S. Ogasawara
2018	—	`conf`	Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project. LADaS@VLDB Patrick Valduriez, Marta Mattoso, Reza Akbarinia, Heraldo Borges, José J. Camata, Alvaro L. G. A. Coutinho, Daniel Gaspar, Noel Moreno Lemus, Ji Liu, Hermano Lustosa, Florent Masseglia, Fabrício Nogueira da Silva, Vítor Silva, Renan Souza, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Daniel de Oliveira, Esther Pacitti, Fábio Porto, Dennis E. Shasha
2017	J	`jnl`	A Mixed Graph Framework to evaluate the complementarity of communication Tools. PeerJ Prepr. Leonardo Carvalho, Eduardo Bezerra, Gustavo Paiva Guedes, Laura Assis, Leonardo Silva de Lima, Rafael Barbastefano, Artur Ziviani, Fábio Porto, Eduardo S. Ogasawara
2017	J	`jnl`	A Review on Flight Delay Prediction. CoRR Alice Sternberg, Jorge Soares, Diego Carvalho, Eduardo S. Ogasawara
2017	B	`conf`	A framework for benchmarking machine learning methods using linear models for univariate time series prediction. IJCNN Rebecca Salles, Laura Assis, Gustavo Paiva Guedes, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara
2017	J	`jnl`	Constellation Queries over Big Data. CoRR Fábio Porto, Amir Khatibi, João Guilherme Nobre Rittmeyer, Eduardo S. Ogasawara, Patrick Valduriez, Dennis E. Shasha
2017	J	`jnl`	Deriving scientific workflows from algebraic experiment lines: A practical approach. Future Gener. Comput. Syst. Anderson Marinho, Daniel de Oliveira, Eduardo S. Ogasawara, Vítor Silva, Kary A. C. S. Ocaña, Leonardo Murta, Vanessa Braganholo, Marta Mattoso
2017	—	`conf`	Detecção de Anomalias no Transporte Rodoviário Urbano. SBBD (Short Papers) Ana Beatriz Cruz, João Antonio Ferreira, Bernardo Monteiro, Rafaelli Coutinho, Fábio Porto, Eduardo S. Ogasawara
2017	B	`conf`	Pre-processing and Indexing Techniques for Constellation Queries in Big Data. DaWaK Amir Khatibi, Fábio Porto, João Guilherme Nobre Rittmeyer, Eduardo S. Ogasawara, Patrick Valduriez, Dennis E. Shasha
2016	J	`jnl`	Discovering top-k non-redundant clusterings in attributed graphs. Neurocomputing Gustavo Paiva Guedes, Eduardo S. Ogasawara, Eduardo Bezerra, Geraldo Xexéo
2016	J	`jnl`	Evaluating temporal aggregation for predicting the sea surface temperature of the Atlantic Ocean. Ecol. Informatics Rebecca Salles, Patricia Mattos, Ana-Maria Dubois Iorgulescu, Eduardo Bezerra, Leonardo Silva de Lima, Eduardo S. Ogasawara
2016	B	`conf`	Exploring machine learning methods for the Star/Galaxy Separation Problem. IJCNN Eduardo Machado, Marcello Serqueira, Eduardo S. Ogasawara, Ricardo Ogando, Marcio A. G. Maia, Luiz Nicolaci da Costa, Riccardo Campisano, Gustavo Paiva Guedes, Eduardo Bezerra
2016	—	`conf`	Spatial Sequential Pattern Mining for Seismic Data. SBBD Riccardo Campisano, Fábio Porto, Esther Pacitti, Florent Masseglia, Eduardo S. Ogasawara
2016	—	`conf`	Towards a Model for Personality-Based Agents for Emotional Responses. WebMedia Rafael Guimarães Rodrigues, Gustavo Paiva Guedes, Eduardo S. Ogasawara
2015	Misc	`conf`	Amê: an environment to learn and analyze adversarial search algorithms using stochastic card games. SAC Ana Beatriz Cruz, Leonardo Preuss, João Quadros, Uéverton S. Souza, Sabrina Serique, Angélica Ogasawara, Eduardo Bezerra, Eduardo S. Ogasawara
2015	J	`jnl`	Dynamic steering of HPC scientific workflows: A survey. Future Gener. Comput. Syst. Marta Mattoso, Jonas Dias, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Flavio Costa, Felipe Horta, Vítor Silva, Daniel de Oliveira
2015	—	`conf`	Evaluating Linear Models as a Baseline for Time Series Imputation. SBBD (Short Papers) Rebecca Salles, Eduardo Bezerra, Jorge de Abreu Soares, Eduardo S. Ogasawara
2015	Misc	`conf`	Exploring multiple clusterings in attributed graphs. SAC Gustavo Paiva Guedes, Eduardo Bezerra, Eduardo S. Ogasawara, Geraldo Xexéo
2014	J	`jnl`	MAM: Método para Agrupamentos Múltiplos em Redes Sociais Online Baseado em Emoções, Personalidades e Textos. Braz. J. Inf. Syst. Gustavo Paiva Guedes e Silva, Eduardo Bezerra, Eduardo S. Ogasawara, Geraldo Xexéo
2014	J	`jnl`	Towards a UML-based Reference Model for Blended Learning. Int. J. Recent Contributions Eng. Sci. IT João Roberto de Toledo Quadros, Daniel de Oliveira, Ambrozio Queiroz, Eduardo S. Ogasawara, Carlos Schocair
2013	J	`jnl`	A Forecasting Method for Fertilizers Consumption in Brazil. Int. J. Agric. Environ. Inf. Syst. Eduardo S. Ogasawara, Daniel de Oliveira, Fabio Paschoal Junior, Rafael Castañeda, Myrna Amorim, Renato Mauro, Jorge Soares, João Quadros, Eduardo Bezerra
2013	—	`conf`	Algebraic dataflows for big data analysis. IEEE BigData Jonas Dias, Eduardo S. Ogasawara, Daniel de Oliveira, Fábio Porto, Patrick Valduriez, Marta Mattoso
2013	—	`conf`	Capturing and querying workflow runtime provenance with PROV: a practical approach. EDBT/ICDT Workshops Flavio Costa, Vítor Silva, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Marta Mattoso
2013	J	`jnl`	Chiron: a parallel engine for algebraic scientific workflows. Concurr. Comput. Pract. Exp. Eduardo S. Ogasawara, Jonas Dias, Vítor Silva, Fernando Seabra Chirigati, Daniel de Oliveira, Fábio Porto, Patrick Valduriez, Marta Mattoso
2013	J	`jnl`	Designing a parallel cloud based comparative genomics workflow to improve phylogenetic analyses. Future Gener. Comput. Syst. Kary A. C. S. Ocaña, Daniel de Oliveira, Jonas Dias, Eduardo S. Ogasawara, Marta Mattoso
2013	—	`conf`	Dimensioning the virtual cluster for parallel scientific workflows in clouds. ScienceCloud@HPDC Daniel de Oliveira, Vitor Viana, Eduardo S. Ogasawara, Kary A. C. S. Ocaña, Marta Mattoso
2013	J	`jnl`	Performance Analysis of Data Filtering in Scientific Workflows. J. Inf. Data Manag. João Carlos de A. R. Gonçalves, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Marta Mattoso
2013	J	`jnl`	Performance evaluation of parallel strategies in public clouds: A study with phylogenomic workflows. Future Gener. Comput. Syst. Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, João Carlos de A. R. Gonçalves, Fernanda Araújo Baião, Marta Mattoso
2013	—	`conf`	Provenance traces from Chiron parallel workflow engine. EDBT/ICDT Workshops Felipe Horta, Vítor Silva, Flavio Costa, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Marta Mattoso
2013	Misc	`conf`	Runtime Dynamic Structural Changes of Scientific Workflows in Clouds. UCC Igor Dos Santos, Jonas Dias, Daniel de Oliveira, Eduardo S. Ogasawara, Kary A. C. S. Ocaña, Marta Mattoso
2013	—	`conf`	SciLightning: A Cloud Provenance-Based Event Notification for Parallel Workflows. ICSOC Workshops Julliano Trindade Pintas, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Marta Mattoso
2013	—	`conf`	User-steering of HPC workflows: state-of-the-art and future directions. SWEET@SIGMOD Marta Mattoso, Kary A. C. S. Ocaña, Felipe Horta, Jonas Dias, Eduardo S. Ogasawara, Vítor Silva, Daniel de Oliveira, Flavio Costa, Igor Araújo
2012	—	`conf`	Abstract: Using Provenance to Visualize Data from Large-Scale Experiments. SC Companion Felipe Horta, Jonas Dias, Kary A. C. S. Ocaña, Daniel de Oliveira, Eduardo S. Ogasawara, Marta Mattoso
2012	J	`jnl`	An adaptive parallel execution strategy for cloud-based scientific workflows. Concurr. Comput. Pract. Exp. Daniel de Oliveira, Eduardo S. Ogasawara, Kary A. C. S. Ocaña, Fernanda Araújo Baião, Marta Mattoso
2012	—	`conf`	Discovering drug targets for neglected diseases using a pharmacophylogenomic cloud workflow. eScience Kary A. C. S. Ocaña, Daniel de Oliveira, Jonas Dias, Eduardo S. Ogasawara, Marta Mattoso
2012	—	`conf`	Enabling Re-executions of Parallel Scientific Workflows Using Runtime Provenance Data. IPAW Flavio Costa, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Marta Mattoso
2012	—	`conf`	Evaluating parameter sweep workflows in high performance computing. SWEET@SIGMOD Fernando Chirigati, Vítor Silva, Eduardo S. Ogasawara, Daniel de Oliveira, Jonas Dias, Fábio Porto, Patrick Valduriez, Marta Mattoso
2012	—	`conf`	Exploring Molecular Evolution Reconstruction Using a Parallel Cloud Based Scientific Workflow. BSB Kary A. C. S. Ocaña, Daniel de Oliveira, Felipe Horta, Jonas Dias, Eduardo S. Ogasawara, Marta Mattoso
2012	—	`conf`	Handling Failures in Parallel Scientific Workflows Using Clouds. SC Companion Flavio Costa, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Marta Mattoso
2012	J	`jnl`	Ontology-based Semi-automatic Workflow Composition. J. Inf. Data Manag. Daniel de Oliveira, Eduardo S. Ogasawara, Jonas Dias, Fernanda Araújo Baião, Marta Mattoso
2012	J	`jnl`	ProvManager: a provenance management system for scientific workflows. Concurr. Comput. Pract. Exp. Anderson Marinho, Leonardo Murta, Cláudia M. L. Werner, Vanessa Braganholo, Sérgio Manuel Serra da Cruz, Eduardo S. Ogasawara, Marta Mattoso
2012	—	`conf`	Using Domain-Specific Data to Enhance Scientific Workflow Steering Queries. IPAW João Carlos de A. R. Gonçalves, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Marta Mattoso
2012	—	`conf`	Using Provenance Analyzers to Improve the Performance of Scientific Workflows in Cloud Environments. SBBD (Short Papers) João Carlos de A. R. Gonçalves, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Marta Mattoso
2011	—	`conf`	A Performance Evaluation of X-Ray Crystallography Scientific Workflow Using SciCumulus. IEEE CLOUD Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Fernanda Araújo Baião, Marta Mattoso
2011	—	`conf`	Adding Ontologies to Scientific Workflow Composition. SBBD (Short Papers) Daniel de Oliveira, Eduardo S. Ogasawara, Fernanda Araújo Baião, Marta Mattoso
2011	J	`jnl`	An Algebraic Approach for Data-Centric Scientific Workflows. Proc. VLDB Endow. Eduardo S. Ogasawara, Daniel de Oliveira, Patrick Valduriez, Jonas Dias, Fábio Porto, Marta Mattoso
2011	—	`—`	An Algebraic Approach for Scientific Workflows with Large Scale Data (Une Approche Algébrique pour les Workflows Scientifiques Orientés-Données). Eduardo S. Ogasawara
2011	J	`jnl`	Many task computing for orthologous genes identification in protozoan genomes using Hydra. Concurr. Comput. Pract. Exp. Fábio Coutinho, Eduardo S. Ogasawara, Daniel de Oliveira, Vanessa Braganholo, Alexandre A. B. Lima, Alberto M. R. Dávila, Marta Mattoso
2011	—	`conf`	Optimizing Phylogenetic Analysis Using SciHmm Cloud-based Scientific Workflow. eScience Kary A. C. S. Ocaña, Daniel de Oliveira, Jonas Dias, Eduardo S. Ogasawara, Marta Mattoso
2011	—	`conf`	Poster: scientific data parallelism using P2P technique. SC Companion Jonas Dias, Eduardo S. Ogasawara, Daniel de Oliveira, Marta Mattoso
2011	—	`conf`	SciCumulus-ECM: Um Serviço de Custos para a Execução de Workflows Científicos em Nuvens Computacionais. SBBD (Short Papers) Vitor Viana, Daniel de Oliveira, Eduardo S. Ogasawara, Marta Mattoso
2011	—	`conf`	SciPhy: A Cloud-Based Workflow for Phylogenetic Analysis of Drug Targets in Protozoan Genomes. BSB Kary A. C. S. Ocaña, Daniel de Oliveira, Eduardo S. Ogasawara, Alberto M. R. Dávila, Alexandre A. B. Lima, Marta Mattoso
2011	—	`conf`	Supporting dynamic parameter sweep in adaptive and user-steered workflow. WORKS@SC Jonas Dias, Eduardo S. Ogasawara, Daniel de Oliveira, Fábio Porto, Alvaro L. G. A. Coutinho, Marta Mattoso
2010	—	`conf`	A P2P Approach to Many Tasks Computing for Scientific Workflows. VECPAR Eduardo S. Ogasawara, Jonas Dias, Daniel de Oliveira, Carla Rodrigues, Carlos Pivotto, Rafael Antas, Vanessa Braganholo, Patrick Valduriez, Marta Mattoso
2010	B	`conf`	Adaptive Normalization: A novel data normalization approach for non-stationary time series. IJCNN Eduardo S. Ogasawara, Leonardo C. Martinez, Daniel de Oliveira, Geraldo Zimbrão, Gisele L. Pappa, Marta Mattoso
2010	—	`conf`	Athena: Text Mining Based Discovery of Scientific Workflows in Disperse Repositories. RED Flavio Costa, Daniel de Oliveira, Eduardo S. Ogasawara, Alexandre A. B. Lima, Marta Mattoso
2010	A	`conf`	Data parallelism in bioinformatics workflows using Hydra. HPDC Fábio Coutinho, Eduardo S. Ogasawara, Daniel de Oliveira, Vanessa Braganholo, Alexandre A. B. Lima, Alberto M. R. Dávila, Marta Mattoso
2010	—	`conf`	GExpLine: A Tool for Supporting Experiment Composition. IPAW Daniel de Oliveira, Eduardo S. Ogasawara, Fernando Seabra Chirigati, Vítor Silva, Leonardo Gresta Paulino Murta, Marta Mattoso
2010	—	`conf`	Improving Many-Task computing in scientific workflows using P2P techniques. MTAGS@SC Jonas Dias, Eduardo S. Ogasawara, Daniel de Oliveira, Esther Pacitti, Marta Mattoso
2010	—	`conf`	Integrating Provenance Data from Distributed Workflow Systems with ProvManager. IPAW Anderson Marinho, Leonardo Gresta Paulino Murta, Cláudia M. L. Werner, Vanessa Braganholo, Eduardo S. Ogasawara, Sérgio Manuel Serra da Cruz, Marta Mattoso
2010	—	`conf`	SciCumulus: A Lightweight Cloud Middleware to Explore Many Task Computing Paradigm in Scientific Workflows. IEEE CLOUD Daniel de Oliveira, Eduardo S. Ogasawara, Fernanda Araújo Baião, Marta Mattoso
2010	J	`jnl`	Towards supporting the life cycle of large scale scientific experiments. Int. J. Bus. Process. Integr. Manag. Marta Mattoso, Cláudia M. L. Werner, Guilherme Horta Travassos, Vanessa Braganholo, Eduardo S. Ogasawara, Daniel de Oliveira, Sérgio Manuel Serra da Cruz, Wallace Martinho, Leonardo Murta
2009	—	`conf`	Comparison and versioning of scientific workflows. CVSM@ICSE Eduardo S. Ogasawara, Pablo Rangel, Leonardo Murta, Cláudia M. L. Werner, Marta Mattoso
2009	B	`conf`	Experiment Line: Software Reuse in Scientific Workflows. SSDBM Eduardo S. Ogasawara, Carlos Eduardo Paulino Silva, Leonardo Gresta Paulino Murta, Cláudia M. L. Werner, Marta Mattoso
2009	—	`conf`	Exploring many task computing in scientific workflows. SC-MTAGS Eduardo S. Ogasawara, Daniel de Oliveira, Fernando Seabra Chirigati, Carlos Eduardo Barbosa, Renato N. Elias, Vanessa Braganholo, Alvaro L. G. A. Coutinho, Marta Mattoso
2009	B	`conf`	Neural networks cartridges for data mining on time series. IJCNN Eduardo S. Ogasawara, Leonardo Gresta Paulino Murta, Geraldo Zimbrao, Marta Mattoso
1999	—	`conf`	Uma Avaliação Experimental sobre Técnicas de Indexação em Bancos de Dados Orientados a Objetos. SBBD Eduardo S. Ogasawara, Marta Mattoso