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Eduardo S. Ogasawara

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2020 – today

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2022
[j24]
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Rebecca Salles, Esther Pacitti, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara:
TSPred: A framework for nonstationary time series prediction. Neurocomputing 467: 197-202 (2022)
2021
[j23]
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Rafaela Castro, Yania Molina Souto, Eduardo S. Ogasawara, Fábio Porto, Eduardo Bezerra:
STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for weather forecasting. Neurocomputing 426: 285-298 (2021)
[j22]
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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)
[j21]
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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): 623-645 (2021)
[c61]
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Claudio Barros, Rebecca Salles, Eduardo S. Ogasawara, Giancarlo Guizzardi, Fábio Porto:
Requirements for an Ontology of Digital Twins. SEMANTICS Posters&Demos 2021
[c60]
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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: 226-231
[i7]
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  - journals/corr/abs-2104-01720
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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 abs/2104.01720 (2021)
2020
[j20]
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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): 1121-1140 (2020)
[j19]
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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: 103512 (2020)
[j18]
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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): 417-424 (2020)
[c59]
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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: 323-328
[c58]
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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: 73-84
[i6]
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  - journals/corr/abs-2005-11093
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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 abs/2005.11093 (2020)
[i5]
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  - journals/corr/abs-2006-12759
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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 abs/2006.12759 (2020)

2010 – 2019

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2019
[j17]
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Rebecca Salles, Kele Belloze, Fábio Porto, Pedro H. Gonzalez, Eduardo S. Ogasawara:
Nonstationary time series transformation methods: An experimental review. Knowl. Based Syst. 164: 274-291 (2019)
[c57]
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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: 15-27
[c56]
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Arthur Ronald, Rebecca Salles, Kele Belloze, Dayse H. Pastore, Eduardo S. Ogasawara:
Modelo Autorregressivo de Integração Adaptativa. SBBD 2019: 175-180
[c55]
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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: 217-222
[c54]
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Flavio Carvalho, Leonardo Ferreira dos Santos, Heraldo Borges, Eduardo S. Ogasawara, Gustavo Paiva Guedes:
Discovering patterns in sentimental analysis. WebMedia 2019: 329-332
[i4]
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  - journals/corr/abs-1912-00134
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Rafaela C. Nascimento, Yania Molina Souto, Eduardo S. Ogasawara, Fábio Porto, Eduardo Bezerra:
STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting. CoRR abs/1912.00134 (2019)
2018
[c53]
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  - conf/clei/MonteiroOGQ18
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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: 654-661
[c52]
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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: 142-153
[c51]
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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: 432-440
[c50]
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Riccardo Campisano, Heraldo Borges, Fábio Porto, Fabio Perosi, Esther Pacitti, Florent Masseglia, Eduardo S. Ogasawara:
Discovering Tight Space-Time Sequences. DaWaK 2018: 247-257
[c49]
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  - conf/ijcnn/MoreiraDOSO18
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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: 1-8
[c48]
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Fábio Porto, Amir Khatibi, João N. Rittmeyer, Eduardo S. Ogasawara, Patrick Valduriez, Dennis E. Shasha:
Constellation Queries over Big Data. SBBD 2018: 85-96
[c47]
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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: 205-210
[c46]
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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: 271-276
[c45]
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Fábio Porto, João N. Rittmeyer, Eduardo S. Ogasawara, Alberto Krone-Martins, Patrick Valduriez, Dennis E. Shasha:
Point pattern search in big data. SSDBM 2018: 21:1-21:12
[c44]
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  - conf/vldb/ValduriezMABCCG18
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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: 1-8
[e1]
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Artur Ziviani, Carmem S. Hara, Eduardo S. Ogasawara, José Antônio Fernandes de Macêdo, Patrick Valduriez:
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. CEUR Workshop Proceedings 2170, CEUR-WS.org 2018 [contents]
2017
[j16]
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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: 111-127 (2017)
[c43]
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  - conf/dawak/KhatibiPROVS17
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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: 164-172
[c42]
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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: 2338-2345
[c41]
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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: 240-245
[i3]
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Fábio Porto, Amir Khatibi, João Guilherme Nobre Rittmeyer, Eduardo S. Ogasawara, Patrick Valduriez, Dennis E. Shasha:
Constellation Queries over Big Data. CoRR abs/1703.02638 (2017)
[i2]
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  - journals/corr/SternbergSCO17
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Alice Sternberg, Jorge de Abreu Soares, Diego Carvalho, Eduardo S. Ogasawara:
A Review on Flight Delay Prediction. CoRR abs/1703.06118 (2017)
[i1]
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  - journals/peerjpre/CarvalhoBGALBZP17
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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: e3114 (2017)
2016
[j15]
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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: 94-105 (2016)
[j14]
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Gustavo Paiva Guedes, Eduardo S. Ogasawara, Eduardo Bezerra, Geraldo Xexéo:
Discovering top-k non-redundant clusterings in attributed graphs. Neurocomputing 210: 45-54 (2016)
[c40]
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  - conf/ijcnn/MachadoSOOMCCGB16
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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: 123-130
[c39]
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Riccardo Campisano, Fábio Porto, Esther Pacitti, Florent Masseglia, Eduardo S. Ogasawara:
Spatial Sequential Pattern Mining for Seismic Data. SBBD 2016: 241-246
[c38]
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Rafael Guimarães Rodrigues, Gustavo Paiva Guedes, Eduardo S. Ogasawara:
Towards a Model for Personality-Based Agents for Emotional Responses. WebMedia 2016: 359-362
2015
[j13]
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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: 100-113 (2015)
[c37]
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  - conf/sac/CruzPQSSOBO15
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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: 208-213
[c36]
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Gustavo Paiva Guedes, Eduardo Bezerra, Eduardo S. Ogasawara, Geraldo Xexéo:
Exploring multiple clusterings in attributed graphs. SAC 2015: 915-918
[c35]
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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: 63-68
2014
[j12]
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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): 15-22 (2014)
2013
[j11]
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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): 2327-2341 (2013)
[j10]
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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): 1816-1825 (2013)
[j9]
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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): 2205-2219 (2013)
[j8]
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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): 23-36 (2013)
[j7]
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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): 17-26 (2013)
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Jonas Dias, Eduardo S. Ogasawara, Daniel de Oliveira, Fábio Porto, Patrick Valduriez, Marta Mattoso:
Algebraic dataflows for big data analysis. IEEE BigData 2013: 150-155
[c33]
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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: 282-289
[c32]
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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: 337-338
[c31]
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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: 5-12
[c30]
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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: 352-365
[c29]
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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: 4:1-4:6
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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: 417-422
2012
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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): 1513-1530 (2012)
[j5]
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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): 1531-1550 (2012)
[j4]
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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): 61-72 (2012)
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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: 1-8
[c26]
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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: 152-167
[c25]
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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: 229-232
[c24]
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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: 1-8
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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: 129-139
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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: 1418-1419
[c21]
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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: 2
[c20]
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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: 179-191
2011
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Eduardo S. Ogasawara:
An Algebraic Approach for Scientific Workflows with Large Scale Data (Une Approche Algébrique pour les Workflows Scientifiques Orientés-Données). Federal University of Rio de Janeiro, Brazil, 2011
[j3]
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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): 2326-2337 (2011)
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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): 1328-1339 (2011)
[c19]
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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: 708-715
[c18]
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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: 62-69
[c17]
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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: 1-8
[c16]
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Daniel de Oliveira, Eduardo S. Ogasawara, Fernanda Araujo Baião, Marta Mattoso:
Adding Ontologies to Scientific Workflow Composition. SBBD (Short Papers) 2011: 147-154
[c15]
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Jonas Dias, Eduardo S. Ogasawara, Daniel de Oliveira, Marta Mattoso:
Poster: scientific data parallelism using P2P technique. SC Companion 2011: 27-28
[c14]
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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: 31-36
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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: 66-70
2010
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Marta Mattoso, Cláudia Werner, Guilherme Horta Travassos, Vanessa Braganholo, Eduardo S. Ogasawara, Daniel de Oliveira, Sérgio Manuel Serra da Cruz, Wallace Martinho, Leonardo Murta:
Towards supporting the life cycle of large scale scientific experiments. Int. J. Bus. Process. Integr. Manag. 5(1): 79-92 (2010)
[c12]
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Daniel de Oliveira, Eduardo S. Ogasawara, Fernanda Araujo Baião, Marta Mattoso:
SciCumulus: A Lightweight Cloud Middleware to Explore Many Task Computing Paradigm in Scientific Workflows. IEEE CLOUD 2010: 378-385
[c11]
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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: 507-515
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Eduardo S. Ogasawara, Leonardo C. Martinez, Daniel de Oliveira, Geraldo Zimbrão, Gisele L. Pappa, Marta Mattoso:
Adaptive Normalization: A novel data normalization approach for non-stationary time series. IJCNN 2010: 1-8
[c9]
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Daniel de Oliveira, Eduardo S. Ogasawara, Fernando Seabra Chirigati, Vítor Silva, Leonardo Gresta Paulino Murta, Marta Mattoso:
GExpLine: A Tool for Supporting Experiment Composition. IPAW 2010: 251-259
[c8]
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Anderson Marinho, Leonardo Gresta Paulino Murta, Cláudia Werner, Vanessa Braganholo, Eduardo S. Ogasawara, Sérgio Manuel Serra da Cruz, Marta Mattoso:
Integrating Provenance Data from Distributed Workflow Systems with ProvManager. IPAW 2010: 286-288
[c7]
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  - conf/red/CostaOOLM10
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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: 104-121
[c6]
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Jonas Dias, Eduardo S. Ogasawara, Daniel de Oliveira, Esther Pacitti, Marta Mattoso:
Improving Many-Task computing in scientific workflows using P2P techniques. MTAGS@SC 2010: 1-10
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Eduardo S. Ogasawara, Jonas Dias, Daniel de Oliveira, Carla Rodrigues, Carlos Pivotto, Rafael Antas, Vanessa Braganholo, Patrick Valduriez, Marta Mattoso:
A P2P Approach to Many Tasks Computing for Scientific Workflows. VECPAR 2010: 327-339

2000 – 2009

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What is the meaning of the colors in the publication lists?

2009
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Eduardo S. Ogasawara, Leonardo Gresta Paulino Murta, Geraldo Zimbrao, Marta Mattoso:
Neural networks cartridges for data mining on time series. IJCNN 2009: 2302-2309
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Eduardo S. Ogasawara, Daniel de Oliveira, Fernando Seabra Chirigati, Carlos Eduardo Barbosa, Renato N. Elias, Vanessa Braganholo, Alvaro L. G. A. Coutinho, Marta Mattoso:
Exploring many task computing in scientific workflows. SC-MTAGS 2009
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Eduardo S. Ogasawara, Carlos Eduardo Paulino Silva, Leonardo Gresta Paulino Murta, Cláudia Werner, Marta Mattoso:
Experiment Line: Software Reuse in Scientific Workflows. SSDBM 2009: 264-272

1990 – 1999

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What is the meaning of the colors in the publication lists?

1999
[c1]
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Eduardo S. Ogasawara, Marta Mattoso:
Uma Avaliação Experimental sobre Técnicas de Indexação em Bancos de Dados Orientados a Objetos. SBBD 1999: 285-297

Coauthor Index

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