Eduardo S. Ogasawara

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 60

Top Venues

Federal University of Rio de Janeiro, Brazil (PHD)

Education History

Federal University of Rio de Janeiro, Brazil

PHD

Publications

Flavio Carvalho, Fabio Paschoal Junior, Eduardo S. Ogasawara, Lilian Ferrari, Gustavo Paiva Guedes
Evaluation of the Brazilian Portuguese version of linguistic inquiry and word count 2015 (BP-LIWC2015). Lang. Resour. Evaluation 58 (1) (2024)
Rocío Zorrilla, Eduardo S. Ogasawara, Patrick Valduriez, Fábio Porto
A Data-Driven Model Selection Approach to Spatio-Temporal Prediction. Trans. Large Scale Data Knowl. Centered Syst. (2024)
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
Data Science Platform Applied to Health in Contribution to the Brazilian Unified Health System. VLDB Workshops (2023)
Paulo Elias, Heleno de S. Campos Junior, Eduardo S. Ogasawara, Leonardo Gresta Paulino Murta
Towards accurate recommendations of merge conflicts resolution strategies. Inf. Softw. Technol. 164 (2023)
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
Life Science Workflow Services (LifeSWS): Motivations and Architecture. Trans. Large Scale Data Knowl. Centered Syst. 55 (2023)
André Vasconcelos, Jomar Monsores, Tania Almeida, Laura Quadros, Eduardo S. Ogasawara, João Quadros
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. 28 (2) (2023)
Rebecca Salles, Esther Pacitti, Eduardo Bezerra, Celso Marques, Carla Pacheco, Carla Oliveira, Fábio Porto, Eduardo S. Ogasawara
TSPredIT: Integrated Tuning of Data Preprocessing and Time Series Prediction Models. Trans. Large Scale Data Knowl. Centered Syst. 54 (2023)
Rebecca Salles, Janio Lima, Rafaelli Coutinho, Esther Pacitti, Florent Masseglia, Reza Akbarinia, Chao Chen, Jonathan M. Garibaldi, Fábio Porto, Eduardo S. Ogasawara
SoftED: Metrics for Soft Evaluation of Time Series Event Detection. CoRR (2023)
Daniel S. Kaster, Eduardo S. Ogasawara
Apresentação e Organização. SBBD (2023)
Lucas Giusti, Leonardo Carvalho, Antônio Tadeu A. Gomes, Rafaelli Coutinho, Jorge de Abreu Soares, Eduardo S. Ogasawara
Analyzing flight delay prediction under concept drift. Evol. Syst. 13 (5) (2022)
Leonardo Izaú, Mariana Fortes, Vitor Ribeiro, Celso Marques, Carla Oliveira, Eduardo Bezerra, Fábio Porto, Rebecca Salles, Eduardo S. Ogasawara
Towards Robust Cluster-Based Hyperparameter Optimization. SBBD (2022)
Claudio Teixeira, Luana Fragoso, Marta Mattoso, Diego Carvalho, Eduardo Bezerra, Jorge de Abreu Soares, Glauco Amorim, Eduardo S. Ogasawara
A horizontal partitioning-based method for frequent pattern mining in transport timetable. Expert Syst. J. Knowl. Eng. 39 (2) (2022)
Rocío Zorrilla, Eduardo S. Ogasawara, Patrick Valduriez, Fábio Porto
A Data-Driven Model Selection Approach to Spatio-Temporal Prediction. SBBD (2022)
Janio Lima, Rebecca Salles, Fábio Porto, Rafaelli Coutinho, Pedro Alpis, Luciana E. G. Escobar, Esther Pacitti, Eduardo S. Ogasawara
Forward and Backward Inertial Anomaly Detector: A Novel Time Series Event Detection Method. IJCNN (2022)
Rebecca Salles, Esther Pacitti, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara
TSPred: A framework for nonstationary time series prediction. Neurocomputing 467 (2022)
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
Machine Learning Approaches to Extreme Weather Events Forecast in Urban Areas: Challenges and Initial Results. Supercomput. Front. Innov. 9 (1) (2022)
Cristiane Gea, Janio Lima, Eduardo Bezerra, Eduardo S. Ogasawara
Análise de métodos de tratamento de outliers para predição dos retornos de índices de ações negociados em bolsa. SBBD (2021)
Rafaela Castro, Yania Molina Souto, Eduardo S. Ogasawara, Fábio Porto, Eduardo Bezerra
STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for weather forecasting. Neurocomputing 426 (2021)
Luciana E. G. Escobar, Rebecca Salles, Janio Lima, Cristiane Gea, Lais Baroni, Artur Ziviani, Paulo F. Pires, Flávia Coimbra Delicato, Rafaelli Coutinho, Laura Assis, Eduardo S. Ogasawara
Evaluating Temporal Bias in Time Series Event Detection Methods. J. Inf. Data Manag. 12 (3) (2021)
Antonio Castro, Heraldo Borges, Riccardo Campisano, Esther Pacitti, Fábio Porto, Rafaelli Coutinho, Eduardo S. Ogasawara
Generalização de Mineração de Sequências Restritas no Espaço e no Tempo. SBBD (2021)
Rafael S. Pereira, Yania Molina Souto, Anderson Chaves da Silva, Rocío Zorilla, Brian Tsan, Florin Rusu, Eduardo S. Ogasawara, Artur Ziviani, Fábio Porto
DJEnsemble: a Cost-Based Selection and Allocation of a Disjoint Ensemble of Spatio-temporal Models. SSDBM (2021)
Balthazar Paixão, Lais Baroni, Marcel Pedroso, Rebecca Salles, Luciana E. G. Escobar, Carlos de Sousa, Raphael de Freitas Saldanha, Jorge de Abreu Soares, Rafaelli Coutinho, Fábio Porto, Eduardo S. Ogasawara
Estimation of COVID-19 Under-Reporting in the Brazilian States Through SARI. New Gener. Comput. 39 (3) (2021)
Lucas Giusti, Leonardo Carvalho, Antônio Tadeu A. Gomes, Rafaelli Coutinho, Jorge de Abreu Soares, Eduardo S. Ogasawara
Analyzing Flight Delay Prediction Under Concept Drift. CoRR (2021)
Claudio Barros, Rebecca Salles, Eduardo S. Ogasawara, Giancarlo Guizzardi, Fábio Porto
Requirements for an Ontology of Digital Twins. SEMANTiCS Posters&Demos (2021)
Josué Cardoso, Diego Caetano, Raphael Abreu, João Quadros, Joel A. F. dos Santos, Eduardo S. Ogasawara, Leonardo Lignani
Supporting the Learning of Evolution Theory Using an Educational Simulator. IEEE Trans. Learn. Technol. 13 (2) (2020)
Juan H. L. Fabian, Antônio Tadeu A. Gomes, Eduardo S. Ogasawara
Estimating the Execution Time of the Coupled Stage in Multiscale Numerical Simulations. CARLA (2020)
Rebecca Salles, Luciana E. G. Escobar, Lais Baroni, Roccio Zorrilla, Artur Ziviani, Vincius Kreischer, Flávia Coimbra Delicato, Paulo F. Pires, Luciano Maia, Rafaelli Coutinho, Laura Assis, Eduardo S. Ogasawara
Harbinger: Um framework para integração e análise de métodos de detecção de eventos em séries temporais. SBBD (2020)
Heraldo Borges, Murillo Dutra, Amin Bazaz, Rafaelli Coutinho, Fabio Perosi, Fábio Porto, Florent Masseglia, Esther Pacitti, Eduardo S. Ogasawara
Spatial-time motifs discovery. Intell. Data Anal. 24 (5) (2020)
Balthazar Paixão, Lais Baroni, Rebecca Salles, Luciana E. G. Escobar, Carlos de Sousa, Marcel Pedroso, Raphael de Freitas Saldanha, Rafaelli Coutinho, Fábio Porto, Eduardo S. Ogasawara
Estimation of COVID-19 under-reporting in Brazilian States through SARI. CoRR (2020)
Lais Baroni, Rebecca Salles, Samella Salles, Gustavo Paiva Guedes, Fábio Porto, Eduardo Bezerra, Christovam Barcellos, Marcel Pedroso, Eduardo S. Ogasawara
An analysis of malaria in the Brazilian Legal Amazon using divergent association rules. J. Biomed. Informatics 108 (2020)
Fernando P. G. de Sá, Diego N. Brandão, Eduardo S. Ogasawara, Rafaelli de C. Coutinho, Rodrigo F. Toso
Wind Turbine Fault Detection: A Semi-Supervised Learning Approach With Automatic Evolutionary Feature Selection. IWSSIP (2020)
Yania Molina Souto, Rafael S. Pereira, Rocío Zorrilla, Anderson Chaves da Silva, Brian Tsan, Florin Rusu, Eduardo S. Ogasawara, Artur Ziviani, Fábio Porto
DJEnsemble: On the Selection of a Disjoint Ensemble of Deep Learning Black-Box Spatio-temporal Models. CoRR (2020)
Flavio Carvalho, Leonardo Ferreira dos Santos, Heraldo Borges, Eduardo S. Ogasawara, Gustavo Paiva Guedes
Discovering patterns in sentimental analysis. WebMedia (2019)
Daniel de Oliveira, Carlos Magno Abreu, Eduardo S. Ogasawara, Eduardo Bezerra, Leonardo Silva de Lima
A Science Gateway to Support Research in Spectral Graph Theory. SBBD (2019)
Arthur Ronald, Rebecca Salles, Kele Belloze, Dayse H. Pastore, Eduardo S. Ogasawara
Modelo Autorregressivo de Integração Adaptativa. SBBD (2019)
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
A Conceptual Vision Toward the Management of Machine Learning Models. ER Forum/Posters/Demos (2019)
Rafaela C. Nascimento, Yania Molina Souto, Eduardo S. Ogasawara, Fábio Porto, Eduardo Bezerra
STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting. CoRR (2019)
Rebecca Salles, Kele Belloze, Fábio Porto, Pedro H. Gonzalez, Eduardo S. Ogasawara
Nonstationary time series transformation methods: An experimental review. Knowl. Based Syst. 164 (2019)
Fábio Porto, Amir Khatibi, João N. Rittmeyer, Eduardo S. Ogasawara, Patrick Valduriez, Dennis E. Shasha
Constellation Queries over Big Data. SBBD (2018)
Riccardo Campisano, Heraldo Borges, Fábio Porto, Fabio Perosi, Esther Pacitti, Florent Masseglia, Eduardo S. Ogasawara
Discovering Tight Space-Time Sequences. DaWaK (2018)
Fábio Porto, João N. Rittmeyer, Eduardo S. Ogasawara, Alberto Krone-Martins, Patrick Valduriez, Dennis E. Shasha
Point pattern search in big data. SSDBM (2018)
Cedric Monteiro, Eduardo S. Ogasawara, Laercio Gonçalves, João Roberto de Toledo Quadros
Control and Security System for Classroom Access Based on Facial Recognition. CLEI (2018)
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
Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project. LADaS@VLDB (2018)
Leonardo Moreira, Christofer Dantas, Leonardo Oliveira, Jorge de Abreu Soares, Eduardo S. Ogasawara
On Evaluating Data Preprocessing Methods for Machine Learning Models for Flight Delays. IJCNN (2018)
João Antonio Ferreira, Jorge de Abreu Soares, Fábio Porto, Esther Pacitti, Rafaelli Coutinho, Eduardo S. Ogasawara
Rumo à Integração da Álgebra de Workflows com o Processamento de Consulta Relacional. SBBD (2018)
Ana Beatriz Cruz, João Antonio Ferreira, Diego Carvalho, Eduardo Mendes, Esther Pacitti, Rafaelli Coutinho, Fábio Porto, Eduardo S. Ogasawara
Detecção de Anomalias Frequentes no Transporte Rodoviário Urbano. SBBD (2018)
Paula Chaves, Luan Paschoal, Tauan Velasco, Tiago Bento, Julliany S. Brandão, Carlos Schocair, João Quadros, Talita Oliveira, Eduardo S. Ogasawara
Orthographic Educational Game for Portuguese Language Countries. CSEDU (2) (2018)
Leonardo Carvalho, Laura Assis, Leonardo Silva de Lima, Eduardo Bezerra, Gustavo Paiva Guedes, Artur Ziviani, Fábio Porto, Rafael Barbastefano, Eduardo S. Ogasawara
Evaluating the Complementarity of Communication Tools for Learning Platforms. CSEDU (2) (2018)
Leonardo Carvalho, Eduardo Bezerra, Gustavo Paiva Guedes, Laura Assis, Leonardo Silva de Lima, Rafael Barbastefano, Artur Ziviani, Fábio Porto, Eduardo S. Ogasawara
A Mixed Graph Framework to evaluate the complementarity of communication Tools. PeerJ Prepr. 5 (2017)
Amir Khatibi, Fábio Porto, João Guilherme Nobre Rittmeyer, Eduardo S. Ogasawara, Patrick Valduriez, Dennis E. Shasha
Pre-processing and Indexing Techniques for Constellation Queries in Big Data. DaWaK (2017)
Ana Beatriz Cruz, João Antonio Ferreira, Bernardo Monteiro, Rafaelli Coutinho, Fábio Porto, Eduardo S. Ogasawara
Detecção de Anomalias no Transporte Rodoviário Urbano. SBBD (Short Papers) (2017)
Anderson Marinho, Daniel de Oliveira, Eduardo S. Ogasawara, Vítor Silva, Kary A. C. S. Ocaña, Leonardo Murta, Vanessa Braganholo, Marta Mattoso
Deriving scientific workflows from algebraic experiment lines: A practical approach. Future Gener. Comput. Syst. 68 (2017)
Fábio Porto, Amir Khatibi, João Guilherme Nobre Rittmeyer, Eduardo S. Ogasawara, Patrick Valduriez, Dennis E. Shasha
Constellation Queries over Big Data. CoRR (2017)
Rebecca Salles, Laura Assis, Gustavo Paiva Guedes, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara
A framework for benchmarking machine learning methods using linear models for univariate time series prediction. IJCNN (2017)
Alice Sternberg, Jorge de Abreu Soares, Diego Carvalho, Eduardo S. Ogasawara
A Review on Flight Delay Prediction. CoRR (2017)
Rafael Guimarães Rodrigues, Gustavo Paiva Guedes, Eduardo S. Ogasawara
Towards a Model for Personality-Based Agents for Emotional Responses. WebMedia (2016)
Riccardo Campisano, Fábio Porto, Esther Pacitti, Florent Masseglia, Eduardo S. Ogasawara
Spatial Sequential Pattern Mining for Seismic Data. SBBD (2016)
Gustavo Paiva Guedes, Eduardo S. Ogasawara, Eduardo Bezerra, Geraldo Xexéo
Discovering top-k non-redundant clusterings in attributed graphs. Neurocomputing 210 (2016)
Eduardo Machado, Marcello Serqueira, Eduardo S. Ogasawara, Ricardo Ogando, Marcio A. G. Maia, Luiz Nicolaci da Costa, Riccardo Campisano, Gustavo Paiva Guedes, Eduardo Bezerra
Exploring machine learning methods for the Star/Galaxy Separation Problem. IJCNN (2016)
Rebecca Salles, Patricia Mattos, Ana-Maria Dubois Iorgulescu, Eduardo Bezerra, Leonardo Silva de Lima, Eduardo S. Ogasawara
Evaluating temporal aggregation for predicting the sea surface temperature of the Atlantic Ocean. Ecol. Informatics 36 (2016)
Marta Mattoso, Jonas Dias, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Flavio Costa, Felipe Horta, Vítor Silva, Daniel de Oliveira
Dynamic steering of HPC scientific workflows: A survey. Future Gener. Comput. Syst. 46 (2015)
Ana Beatriz Cruz, Leonardo Preuss, João Quadros, Uéverton S. Souza, Sabrina Serique, Angélica Ogasawara, Eduardo Bezerra, Eduardo S. Ogasawara
Amê: an environment to learn and analyze adversarial search algorithms using stochastic card games. SAC (2015)
Gustavo Paiva Guedes, Eduardo Bezerra, Eduardo S. Ogasawara, Geraldo Xexéo
Exploring multiple clusterings in attributed graphs. SAC (2015)
Rebecca Salles, Eduardo Bezerra, Jorge de Abreu Soares, Eduardo S. Ogasawara
Evaluating Linear Models as a Baseline for Time Series Imputation. SBBD (Short Papers) (2015)
João Roberto de Toledo Quadros, Daniel de Oliveira, Ambrozio Queiroz, Eduardo S. Ogasawara, Carlos Schocair
Towards a UML-based Reference Model for Blended Learning. Int. J. Recent Contributions Eng. Sci. IT 2 (3) (2014)
Gustavo Paiva Guedes e Silva, Eduardo Bezerra, Eduardo S. Ogasawara, Geraldo Xexéo
MAM: Método para Agrupamentos Múltiplos em Redes Sociais Online Baseado em Emoções, Personalidades e Textos. Braz. J. Inf. Syst. 7 (3) (2014)
Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, João Carlos de A. R. Gonçalves, Fernanda Araujo Baião, Marta Mattoso
Performance evaluation of parallel strategies in public clouds: A study with phylogenomic workflows. Future Gener. Comput. Syst. 29 (7) (2013)
Jonas Dias, Eduardo S. Ogasawara, Daniel de Oliveira, Fábio Porto, Patrick Valduriez, Marta Mattoso
Algebraic dataflows for big data analysis. IEEE BigData (2013)
João Carlos de A. R. Gonçalves, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Marta Mattoso
Performance Analysis of Data Filtering in Scientific Workflows. J. Inf. Data Manag. 4 (1) (2013)
Eduardo S. Ogasawara, Daniel de Oliveira, Fabio Paschoal Junior, Rafael Castañeda, Myrna Amorim, Renato Mauro, Jorge de Abreu Soares, João Quadros, Eduardo Bezerra
A Forecasting Method for Fertilizers Consumption in Brazil. Int. J. Agric. Environ. Inf. Syst. 4 (2) (2013)
Daniel de Oliveira, Vitor Viana, Eduardo S. Ogasawara, Kary A. C. S. Ocaña, Marta Mattoso
Dimensioning the virtual cluster for parallel scientific workflows in clouds. ScienceCloud@HPDC (2013)
Eduardo S. Ogasawara, Jonas Dias, Vítor Silva, Fernando Seabra Chirigati, Daniel de Oliveira, Fábio Porto, Patrick Valduriez, Marta Mattoso
Chiron: a parallel engine for algebraic scientific workflows. Concurr. Comput. Pract. Exp. 25 (16) (2013)
Igor Dos Santos, Jonas Dias, Daniel de Oliveira, Eduardo S. Ogasawara, Kary A. C. S. Ocaña, Marta Mattoso
Runtime Dynamic Structural Changes of Scientific Workflows in Clouds. UCC (2013)
Flavio Costa, Vítor Silva, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Marta Mattoso
Capturing and querying workflow runtime provenance with PROV: a practical approach. EDBT/ICDT Workshops (2013)
Marta Mattoso, Kary A. C. S. Ocaña, Felipe Horta, Jonas Dias, Eduardo S. Ogasawara, Vítor Silva, Daniel de Oliveira, Flavio Costa, Igor Araújo
User-steering of HPC workflows: state-of-the-art and future directions. SWEET@SIGMOD (2013)
Kary A. C. S. Ocaña, Daniel de Oliveira, Jonas Dias, Eduardo S. Ogasawara, Marta Mattoso
Designing a parallel cloud based comparative genomics workflow to improve phylogenetic analyses. Future Gener. Comput. Syst. 29 (8) (2013)
Julliano Trindade Pintas, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Marta Mattoso
SciLightning: A Cloud Provenance-Based Event Notification for Parallel Workflows. ICSOC Workshops (2013)
Felipe Horta, Vítor Silva, Flavio Costa, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Marta Mattoso
Provenance traces from Chiron parallel workflow engine. EDBT/ICDT Workshops (2013)
Fernando Chirigati, Vítor Silva, Eduardo S. Ogasawara, Daniel de Oliveira, Jonas Dias, Fábio Porto, Patrick Valduriez, Marta Mattoso
Evaluating parameter sweep workflows in high performance computing. SWEET@SIGMOD (2012)
Anderson Marinho, Leonardo Murta, Cláudia Werner, Vanessa Braganholo, Sérgio Manuel Serra da Cruz, Eduardo S. Ogasawara, Marta Mattoso
ProvManager: a provenance management system for scientific workflows. Concurr. Comput. Pract. Exp. 24 (13) (2012)
Flavio Costa, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Marta Mattoso
Handling Failures in Parallel Scientific Workflows Using Clouds. SC Companion (2012)
João Carlos de A. R. Gonçalves, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Marta Mattoso
Using Domain-Specific Data to Enhance Scientific Workflow Steering Queries. IPAW (2012)
João Carlos de A. R. Gonçalves, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Marta Mattoso
Using Provenance Analyzers to Improve the Performance of Scientific Workflows in Cloud Environments. SBBD (Short Papers) (2012)
Felipe Horta, Jonas Dias, Kary A. C. S. Ocaña, Daniel de Oliveira, Eduardo S. Ogasawara, Marta Mattoso
Abstract: Using Provenance to Visualize Data from Large-Scale Experiments. SC Companion (2012)
Daniel de Oliveira, Eduardo S. Ogasawara, Kary A. C. S. Ocaña, Fernanda Araujo Baião, Marta Mattoso
An adaptive parallel execution strategy for cloud-based scientific workflows. Concurr. Comput. Pract. Exp. 24 (13) (2012)
Flavio Costa, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Marta Mattoso
Enabling Re-executions of Parallel Scientific Workflows Using Runtime Provenance Data. IPAW (2012)
Kary A. C. S. Ocaña, Daniel de Oliveira, Jonas Dias, Eduardo S. Ogasawara, Marta Mattoso
Discovering drug targets for neglected diseases using a pharmacophylogenomic cloud workflow. eScience (2012)
Kary A. C. S. Ocaña, Daniel de Oliveira, Felipe Horta, Jonas Dias, Eduardo S. Ogasawara, Marta Mattoso
Exploring Molecular Evolution Reconstruction Using a Parallel Cloud Based Scientific Workflow. BSB (2012)
Daniel de Oliveira, Eduardo S. Ogasawara, Jonas Dias, Fernanda Araujo Baião, Marta Mattoso
Ontology-based Semi-automatic Workflow Composition. J. Inf. Data Manag. 3 (1) (2012)
Jonas Dias, Eduardo S. Ogasawara, Daniel de Oliveira, Fábio Porto, Alvaro L. G. A. Coutinho, Marta Mattoso
Supporting dynamic parameter sweep in adaptive and user-steered workflow. WORKS@SC (2011)
Eduardo S. Ogasawara, Daniel de Oliveira, Patrick Valduriez, Jonas Dias, Fábio Porto, Marta Mattoso
An Algebraic Approach for Data-Centric Scientific Workflows. Proc. VLDB Endow. 4 (12) (2011)
Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Fernanda Araujo Baião, Marta Mattoso
A Performance Evaluation of X-Ray Crystallography Scientific Workflow Using SciCumulus. IEEE CLOUD (2011)
Fábio Coutinho, Eduardo S. Ogasawara, Daniel de Oliveira, Vanessa Braganholo, Alexandre A. B. Lima, Alberto M. R. Dávila, Marta Mattoso
Many task computing for orthologous genes identification in protozoan genomes using Hydra. Concurr. Comput. Pract. Exp. 23 (17) (2011)
Kary A. C. S. Ocaña, Daniel de Oliveira, Eduardo S. Ogasawara, Alberto M. R. Dávila, Alexandre A. B. Lima, Marta Mattoso
SciPhy: A Cloud-Based Workflow for Phylogenetic Analysis of Drug Targets in Protozoan Genomes. BSB (2011)
Vitor Viana, Daniel de Oliveira, Eduardo S. Ogasawara, Marta Mattoso
SciCumulus-ECM: Um Serviço de Custos para a Execução de Workflows Científicos em Nuvens Computacionais. SBBD (Short Papers) (2011)
Jonas Dias, Eduardo S. Ogasawara, Daniel de Oliveira, Marta Mattoso
Poster: scientific data parallelism using P2P technique. SC Companion (2011)
Daniel de Oliveira, Eduardo S. Ogasawara, Fernanda Araujo Baião, Marta Mattoso
Adding Ontologies to Scientific Workflow Composition. SBBD (Short Papers) (2011)
Kary A. C. S. Ocaña, Daniel de Oliveira, Jonas Dias, Eduardo S. Ogasawara, Marta Mattoso
Optimizing Phylogenetic Analysis Using SciHmm Cloud-based Scientific Workflow. eScience (2011)
Flavio Costa, Daniel de Oliveira, Eduardo S. Ogasawara, Alexandre A. B. Lima, Marta Mattoso
Athena: Text Mining Based Discovery of Scientific Workflows in Disperse Repositories. RED (2010)
Fábio Coutinho, Eduardo S. Ogasawara, Daniel de Oliveira, Vanessa Braganholo, Alexandre A. B. Lima, Alberto M. R. Dávila, Marta Mattoso
Data parallelism in bioinformatics workflows using Hydra. HPDC (2010)

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Eduardo S. Ogasawara