| Scicumulus: A lightweight cloud middleware to explore many task computing paradigm in scientific workflows D De Oliveira, E Ogasawara, F Baião, M Mattoso 2010 IEEE 3rd International Conference on Cloud Computing, 378-385, 2010 | 245 | 2010 |
| Adaptive normalization: A novel data normalization approach for non-stationary time series E Ogasawara, LC Martinez, D De Oliveira, G Zimbrão, GL Pappa, ... The 2010 International Joint Conference on Neural Networks (IJCNN), 1-8, 2010 | 238 | 2010 |
| Towards supporting the life cycle of large scale scientific experiments M Mattoso, C Werner, GH Travassos, V Braganholo, E Ogasawara, ... International Journal of Business Process Integration and Management 5 (1 …, 2010 | 181 | 2010 |
| An algebraic approach for data-centric scientific workflows E Ogasawara, D de Oliveira, P Valduriez, J Dias, F Porto, M Mattoso Proceedings of the VLDB Endowment (PVLDB) 4 (11), 1328-1339, 2011 | 179 | 2011 |
| Nonstationary time series transformation methods: An experimental review R Salles, K Belloze, F Porto, PH Gonzalez, E Ogasawara Knowledge-Based Systems 164, 274-291, 2019 | 128 | 2019 |
| A review on flight delay prediction A Sternberg, J Soares, D Carvalho, E Ogasawara arXiv preprint arXiv:1703.06118, 2017 | 128 | 2017 |
| Sciphy: a cloud-based workflow for phylogenetic analysis of drug targets in protozoan genomes KACS Ocaña, D de Oliveira, E Ogasawara, AMR Dávila, AAB Lima, ... Advances in Bioinformatics and Computational Biology: 6th Brazilian …, 2011 | 120 | 2011 |
| Chiron: a parallel engine for algebraic scientific workflows E Ogasawara, J Dias, V Silva, F Chirigati, D De Oliveira, F Porto, ... Concurrency and Computation: Practice and Experience 25 (16), 2327-2341, 2013 | 108 | 2013 |
| Capturing and querying workflow runtime provenance with PROV: a practical approach F Costa, V Silva, D De Oliveira, K Ocaña, E Ogasawara, J Dias, M Mattoso Proceedings of the Joint EDBT/ICDT 2013 Workshops, 282-289, 2013 | 103 | 2013 |
| Stconvs2s: Spatiotemporal convolutional sequence to sequence network for weather forecasting R Castro, YM Souto, E Ogasawara, F Porto, E Bezerra Neurocomputing 426, 285-298, 2021 | 102 | 2021 |
| Dynamic steering of HPC scientific workflows: A survey M Mattoso, J Dias, KACS Ocaña, E Ogasawara, F Costa, F Horta, V Silva, ... Future Generation Computer Systems 46, 100-113, 2014 | 93 | 2014 |
| On the relevance of data science for flight delay research: a systematic review L Carvalho, A Sternberg, L Maia Goncalves, A Beatriz Cruz, JA Soares, ... Transport Reviews 41 (4), 499-528, 2021 | 68 | 2021 |
| An analysis of Brazilian flight delays based on frequent patterns A Sternberg, D Carvalho, L Murta, J Soares, E Ogasawara Transportation Research Part E: Logistics and Transportation Review 95, 282 …, 2016 | 64 | 2016 |
| An adaptive parallel execution strategy for cloud‐based scientific workflows D de Oliveira, E Ogasawara, K Ocaña, F Baião, M Mattoso Concurrency and Computation: Practice and Experience 24 (13), 1531-1550, 2012 | 64 | 2012 |
| Exploring many task computing in scientific workflows E Ogasawara, D de Oliveira, F Chirigati, CE Barbosa, R Elias, ... Proceedings of the 2nd Workshop on Many-Task Computing on Grids and …, 2009 | 59 | 2009 |
| ProvManager: a provenance management system for scientific workflows A Marinho, L Murta, C Werner, V Braganholo, SMS Cruz, E Ogasawara, ... Concurrency and Computation: Practice and Experience 24 (13), 1513-1530, 2012 | 57 | 2012 |
| Supporting dynamic parameter sweep in adaptive and user-steered workflow J Dias, E Ogasawara, D de Oliveira, F Porto, ALGA Coutinho, M Mattoso Proceedings of the 6th workshop on Workflows in support of large-scale …, 2011 | 49 | 2011 |
| Experiment line: Software reuse in scientific workflows E Ogasawara, C Paulino, L Murta, C Werner, M Mattoso Scientific and Statistical Database Management: 21st International …, 2009 | 49 | 2009 |
| Performance evaluation of parallel strategies in public clouds: A study with phylogenomic workflows D De Oliveira, KACS Ocana, E Ogasawara, J Dias, J Gonçalves, F Baiao, ... Future Generation Computer Systems 29 (7), 1816-1825, 2013 | 48 | 2013 |
| Optimizing phylogenetic analysis using scihmm cloud-based scientific workflow KACS Ocaña, D de Oliveira, J Dias, E Ogasawara, M Mattoso 2011 IEEE Seventh International Conference on eScience, 62-69, 2011 | 44 | 2011 |
Marta MattosoProfessor of Computer Science, COPPE, Fed University Rio de JaneiroZweryfikowany adres z cos.ufrj.br