| 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 |
| Dynamic steering of HPC scientific workflows: A survey M Mattoso, J Dias, KACS Ocana, E Ogasawara, F Costa, F Horta, V Silva, ... Future Generation Computer Systems 46, 100-113, 2015 | 93 | 2015 |
| Twitter topic classification D Antypas, A Ushio, J Camacho-Collados, L Neves, V Silva, F Barbieri arXiv preprint arXiv:2209.09824, 2022 | 67 | 2022 |
| In situ visualization and data analysis for turbidity currents simulation JJ Camata, V Silva, P Valduriez, M Mattoso, ALGA Coutinho Computers & Geosciences 110, 23-31, 2018 | 38 | 2018 |
| Raw data queries during data-intensive parallel workflow execution V Silva, J Leite, JJ Camata, D De Oliveira, ALGA Coutinho, P Valduriez, ... Future Generation Computer Systems 75, 402-422, 2017 | 38 | 2017 |
| DfAnalyzer: runtime dataflow analysis of scientific applications using provenance V Silva, D de Oliveira, P Valduriez, M Mattoso Proceedings of the VLDB Endowment 11 (12), 2082-2085, 2018 | 37 | 2018 |
| User-steering of HPC workflows: state-of-the-art and future directions M Mattoso, K Ocana, F Horta, J Dias, E Ogasawara, V Silva, D de Oliveira, ... Proceedings of the 2nd ACM SIGMOD Workshop on Scalable Workflow Execution …, 2013 | 37 | 2013 |
| Analyzing related raw data files through dataflows V Silva, D De Oliveira, P Valduriez, M Mattoso Concurrency and Computation: Practice and Experience 28 (8), 2528-2545, 2016 | 35 | 2016 |
| Similarity-based workflow clustering V Silva, F Chirigati, K Maia, E Ogasawara, D Oliveira, V Braganholo, ... JCIS 2 (1), 23-35, 2011 | 32 | 2011 |
| Named entity recognition in Twitter: A dataset and analysis on short-term temporal shifts A Ushio, L Neves, V Silva, F Barbieri, J Camacho-Collados arXiv preprint arXiv:2210.03797, 2022 | 28 | 2022 |
| Evaluating parameter sweep workflows in high performance computing F Chirigati, V Silva, E Ogasawara, D de Oliveira, J Dias, F Porto, ... Proceedings of the 1st ACM SIGMOD Workshop on Scalable Workflow Execution …, 2012 | 26 | 2012 |
| Dfanalyzer: runtime dataflow analysis tool for computational science and engineering applications V Silva, V Campos, T Guedes, J Camata, D de Oliveira, ALGA Coutinho, ... SoftwareX 12, 100592, 2020 | 22 | 2020 |
| Scientific workflow partitioning in multisite cloud J Liu, V Silva, E Pacitti, P Valduriez, M Mattoso Euro-Par 2014: Parallel Processing Workshops: Euro-Par 2014 International …, 2014 | 22 | 2014 |
| Semeval 2023 task 9: Multilingual tweet intimacy analysis J Pei, V Silva, M Bos, Y Liu, L Neves, D Jurgens, F Barbieri arXiv preprint arXiv:2210.01108, 2022 | 21 | 2022 |
| Capturing and analyzing provenance from spark-based scientific workflows with SAMbA-RaP T Guedes, LB Martins, MLF Falci, V Silva, KACS Ocaña, M Mattoso, ... Future Generation Computer Systems 112, 658-669, 2020 | 21 | 2020 |
| A reinforcement learning scheduling strategy for parallel cloud-based workflows A Nascimento, V Olimpio, V Silva, A Paes, D de Oliveira 2019 IEEE international parallel and distributed processing symposium …, 2019 | 21 | 2019 |
| Keeping track of user steering actions in dynamic workflows R Souza, V Silva, JJ Camata, ALGA Coutinho, P Valduriez, M Mattoso Future Generation Computer Systems 99, 624-643, 2019 | 19 | 2019 |
| GExpLine: a tool for supporting experiment composition D de Oliveira, E Ogasawara, F Seabra, V Silva, L Murta, M Mattoso Provenance and Annotation of Data and Processes: Third International …, 2010 | 19 | 2010 |
| Data reduction in scientific workflows using provenance monitoring and user steering R Souza, V Silva, ALGA Coutinho, P Valduriez, M Mattoso Future Generation Computer Systems 110, 481-501, 2020 | 18 | 2020 |
Marta MattosoProfessor of Computer Science, COPPE, Fed University Rio de JaneiroZweryfikowany adres z cos.ufrj.br