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Vítor Silva 0003
Person information
- affiliation: Federal University of Rio de Janeiro, COPPE, Brazil
Other persons with the same name
- Vítor Silva — disambiguation page
- Vítor Silva 0001 (aka: Vítor Manuel Mendes da Silva) — University of Coimbra, Department of Electrical and Computer Engineering, Portugal
- Vítor Silva 0002 (aka: Vitor Vaz da Silva) — Instituto Superior de Engenharia de Lisboa, Electronics Telecommunications and Computer Department, Lisbon, Portugal
- Vítor Silva 0004 — Snap Inc., Santa Monica, CA, USA
- Vítor Silva 0005 — École Polytechnique Fédérale de Lausanne, EPFL, Urban, Rural and Architectural Projects Laboratory, UTA, Switzerland
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2020 – today
- 2023
- [c27]Julie Jiang, Ron Dotsch, Mireia Triguero Roura, Yozen Liu, Vítor Silva, Maarten W. Bos, Francesco Barbieri:
Reciprocity, Homophily, and Social Network Effects in Pictorial Communication: A Case Study of Bitmoji Stickers. CHI 2023: 675:1-675:14 - [c26]Jiaxin Pei, Vítor Silva, Maarten W. Bos, Yozen Liu, Leonardo Neves, David Jurgens, Francesco Barbieri:
SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis. SemEval@ACL 2023: 2235-2246 - 2022
- [c25]Dimosthenis Antypas, Asahi Ushio, José Camacho-Collados, Vítor Silva, Leonardo Neves, Francesco Barbieri:
Twitter Topic Classification. COLING 2022: 3386-3400 - [c24]Asahi Ushio, Francesco Barbieri, Vítor Silva, Leonardo Neves, José Camacho-Collados:
Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts. AACL/IJCNLP (1) 2022: 309-319 - [c23]Annie Amorim, Nils Murrugarra-Llerena, Vítor Silva, Daniel de Oliveira, Aline Paes:
Modelagem de Tópicos em Textos Curtos: uma Avaliação Experimental. SBBD 2022: 254-266 - [i6]Dimosthenis Antypas, Asahi Ushio, José Camacho-Collados, Leonardo Neves, Vítor Silva, Francesco Barbieri:
Twitter Topic Classification. CoRR abs/2209.09824 (2022) - [i5]Jiaxin Pei, Vítor Silva, Maarten W. Bos, Yozon Liu, Leonardo Neves, David Jurgens, Francesco Barbieri:
SemEval 2023 Task 9: Multilingual Tweet Intimacy Analysis. CoRR abs/2210.01108 (2022) - [i4]Asahi Ushio, Leonardo Neves, Vítor Silva, Francesco Barbieri, José Camacho-Collados:
Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts. CoRR abs/2210.03797 (2022) - [i3]Julie Jiang, Ron Dotsch, Mireia Triguero Roura, Yozen Liu, Vítor Silva, Maarten W. Bos, Francesco Barbieri:
Reciprocity, Homophily, and Social Network Effects in Pictorial Communication: A Case Study of Bitmoji Stickers. CoRR abs/2211.01426 (2022) - 2021
- [j15]André Nascimento, Vítor Silva, Aline Paes, Daniel de Oliveira:
An incremental reinforcement learning scheduling strategy for data-intensive scientific workflows in the cloud. Concurr. Comput. Pract. Exp. 33(11) (2021) - [j14]Renan Souza, Vítor Silva, Alexandre A. B. Lima, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso:
Distributed in-memory data management for workflow executions. PeerJ Comput. Sci. 7: e527 (2021) - [i2]Renan Souza, Vítor Silva, Alexandre A. B. Lima, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso:
Distributed In-memory Data Management for Workflow Executions. CoRR abs/2105.04720 (2021) - 2020
- [j13]Vítor Silva, Leonardo Neves, Renan Souza, Alvaro L. G. A. Coutinho, Daniel de Oliveira, Marta Mattoso:
Adding domain data to code profiling tools to debug workflow parallel execution. Future Gener. Comput. Syst. 110: 422-439 (2020) - [j12]Renan Souza, Vítor Silva, Alvaro L. G. A. Coutinho, Patrick Valduriez, Marta Mattoso:
Data reduction in scientific workflows using provenance monitoring and user steering. Future Gener. Comput. Syst. 110: 481-501 (2020) - [j11]Thaylon Guedes, Lucas Bertelli Martins, Maria Luiza Furtuozo Falci, Vítor Silva, Kary A. C. S. Ocaña, Marta Mattoso, Marcos V. N. Bedo, Daniel de Oliveira:
Capturing and Analyzing Provenance from Spark-based Scientific Workflows with SAMbA-RaP. Future Gener. Comput. Syst. 112: 658-669 (2020) - [j10]Vítor Silva, Vinícius Campos, Thaylon Guedes, José J. Camata, Daniel de Oliveira, Alvaro L. G. A. Coutinho, Patrick Valduriez, Marta Mattoso:
DfAnalyzer: Runtime dataflow analysis tool for Computational Science and Engineering applications. SoftwareX 12: 100592 (2020)
2010 – 2019
- 2019
- [j9]Renan Souza, Vítor Silva, José J. Camata, Alvaro L. G. A. Coutinho, Patrick Valduriez, Marta Mattoso:
Keeping track of user steering actions in dynamic workflows. Future Gener. Comput. Syst. 99: 624-643 (2019) - [c22]André Nascimento, Victor Olimpio, Vítor Silva, Aline Paes, Daniel de Oliveira:
A Reinforcement Learning Scheduling Strategy for Parallel Cloud-Based Workflows. IPDPS Workshops 2019: 817-824 - [i1]Renan Souza, Vítor Silva, José J. Camata, Alvaro L. G. A. Coutinho, Patrick Valduriez, Marta Mattoso:
Keeping Track of User Steering Actions in Dynamic Workflows. CoRR abs/1905.07167 (2019) - 2018
- [j8]José J. Camata, Vítor Silva, Patrick Valduriez, Marta Mattoso, Alvaro L. G. A. Coutinho:
In situ visualization and data analysis for turbidity currents simulation. Comput. Geosci. 110: 23-31 (2018) - [j7]Thaylon Guedes, Vítor Silva, José J. Camata, Marcos V. N. Bedo, Marta Mattoso, Daniel C. M. de Oliveira:
Towards an Empirical Evaluation of Scientific Data Indexing and Querying. J. Inf. Data Manag. 9(1): 84-93 (2018) - [j6]Vítor Silva, Daniel de Oliveira, Marta Mattoso, Patrick Valduriez:
DfAnalyzer: Runtime Dataflow Analysis of Scientific Applications using Provenance. Proc. VLDB Endow. 11(12): 2082-2085 (2018) - [c21]Vítor Silva, Renan Souza, José J. Camata, Daniel de Oliveira, Patrick Valduriez, Alvaro L. G. A. Coutinho, Marta Mattoso:
Capturing Provenance for Runtime Data Analysis in Computational Science and Engineering Applications. IPAW 2018: 183-187 - [c20]Thaylon Guedes, Vítor Silva, Marcos V. N. Bedo, Marta Mattoso, Daniel de Oliveira:
Análise Online de Dados de Proveniência e de Domínio de Aplicações Spark com SAMbA. SBBD Companion 2018: 17-22 - [c19]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 - 2017
- [j5]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) - [j4]Vítor Silva, José Leite, José J. Camata, Daniel de Oliveira, Alvaro L. G. A. Coutinho, Patrick Valduriez, Marta Mattoso:
Raw data queries during data-intensive parallel workflow execution. Future Gener. Comput. Syst. 75: 402-422 (2017) - [c18]Thaylon Guedes, Vítor Silva, José J. Camata, Marta Mattoso, Daniel de Oliveira:
Análise de Dados Científicos: uma Análise Comparativa de Dados de Simulações Computacionais. SBBD (Short Papers) 2017: 222-227 - [c17]Renan Souza, Vítor Silva, Pedro Miranda, Alexandre A. B. Lima, Patrick Valduriez, Marta Mattoso:
Spark Scalability Analysis in a Scientific Workflow. SBBD (Short Papers) 2017: 288-293 - 2016
- [j3]Vítor Silva, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso:
Analyzing related raw data files through dataflows. Concurr. Comput. Pract. Exp. 28(8): 2528-2545 (2016) - [c16]Rafael Mayo-García, José J. Camata, José M. Cela, Danilo Costa, Alvaro L. G. A. Coutinho, Daniel Fernández-Galisteo, Carmen Jiménez, Vadim Kourdioumov, Marta Mattoso, Thomas Miras, José A. Moríñigo, Jorge Navarro, Philippe O. A. Navaux, Daniel de Oliveira, Manuel Aurelio Rodriguez Pascual, Vítor Silva, Renan Souza, Patrick Valduriez:
Enhancing Energy Production with Exascale HPC Methods. CARLA 2016: 233-246 - [c15]Renan Souza, Vítor Silva, Alvaro L. G. A. Coutinho, Patrick Valduriez, Marta Mattoso:
Online Input Data Reduction in Scientific Workflows. WORKS@SC 2016: 44-53 - [c14]Vítor Silva, Leonardo Neves, Renan Souza, Alvaro L. G. A. Coutinho, Daniel de Oliveira, Marta Mattoso:
Integrating Domain-Data Steering with Code-Profiling Tools to Debug Data-Intensive Workflows. WORKS@SC 2016: 59-63 - 2015
- [j2]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) - [c13]Kary A. C. S. Ocaña, Vítor Silva, Daniel de Oliveira, Marta Mattoso:
Data Analytics in Bioinformatics: Data Science in Practice for Genomics Analysis Workflows. e-Science 2015: 322-331 - [c12]Rachel Castro, Renan Souza, Vítor Silva, Kary A. C. S. Ocaña, Daniel de Oliveira, Marta Mattoso:
Uma Abordagem para Publicação de Dados de Proveniência de Workflows Científicos na Web Semântica. SBBD (Short Papers) 2015: 111-116 - [c11]Daniel de Oliveira, Vítor Silva, Marta Mattoso:
How Much Domain Data Should Be in Provenance Databases? TaPP 2015 - 2014
- [c10]Ji Liu, Vítor Silva, Esther Pacitti, Patrick Valduriez, Marta Mattoso:
Scientific Workflow Partitioning in Multisite Cloud. Euro-Par Workshops (1) 2014: 105-116 - [c9]Kary A. C. S. Ocaña, Daniel de Oliveira, Vítor Silva, Silvia Benza, Marta Mattoso:
Exploiting the Parallel Execution of Homology Workflow Alternatives in HPC Compute Clouds. ICSOC Workshops 2014: 336-350 - [c8]Flavio Costa, Vítor Silva, Daniel de Oliveira, Kary A. C. S. Ocaña, Marta Mattoso:
Towards Supporting Provenance Gathering and Querying in Different Database Approaches. IPAW 2014: 254-257 - [c7]Vítor Silva, Daniel de Oliveira, Marta Mattoso:
Exploratory Analysis of Raw Data Files through Dataflows. SBAC-PAD (Workshops) 2014: 114-119 - [c6]Daniel de Oliveira, Flavio Costa, Vítor Silva, Kary A. C. S. Ocaña, Marta Mattoso:
Debugging Scientific Workflows with Provenance: Achievements and Lessons Learned. SBBD 2014: 67-76 - 2013
- [j1]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) - [c5]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 - [c4]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 - [c3]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 - 2012
- [c2]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 - 2010
- [c1]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
Coauthor Index
aka: Daniel C. M. de Oliveira
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