Renan Souza
Orcid: 0000-0002-1794-808XAffiliations:
- Oak Ridge National Lab, TN, USA
- IBM Research, Rio de Janeiro, Brazil
- Federal University of Rio de Janeiro, COPPE, RJ, Brazil
According to our database1,
Renan Souza
authored at least 34 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on linkedin.com
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on cos.ufrj.br
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on orcid.org
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on github.com
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Bibliography
2024
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows.
CoRR, 2024
Proceedings of the Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 2024
HKPoly: A Polystore Architecture to Support Data Linkage and Queries on Distributed and Heterogeneous Data.
Proceedings of the 20th Brazilian Symposium on Information Systems, 2024
Workflow Provenance in the Computing Continuum for Responsible, Trustworthy, and Energy-Efficient AI.
Proceedings of the 20th IEEE International Conference on e-Science, 2024
2023
A Polystore Architecture Using Knowledge Graphs to Support Queries on Heterogeneous Data Stores.
CoRR, 2023
Towards Lightweight Data Integration Using Multi-Workflow Provenance and Data Observability.
Proceedings of the 19th IEEE International Conference on e-Science, 2023
Proceedings of the IEEE International Conference on Cluster Computing, 2023
2022
Concurr. Comput. Pract. Exp., 2022
2021
PeerJ Comput. Sci., 2021
Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development.
CoRR, 2021
Proceedings of the ISWC 2021 Posters, 2021
A Recommender for Choosing Data Systems based on Application Profiling and Benchmarking.
Proceedings of the 36th Brazilian Symposium on Databases, 2021
Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds.
Proceedings of the 17th IEEE International Conference on eScience, 2021
2020
Data reduction in scientific workflows using provenance monitoring and user steering.
Future Gener. Comput. Syst., 2020
Future Gener. Comput. Syst., 2020
Managing Data Lineage of O&G Machine Learning Models: The Sweet Spot for Shale Use Case.
CoRR, 2020
Cycle Orchestrator: A Knowledge-Based Approach for Structuring Cyclic ML Pipelines in the O&G Industry.
Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), 2020
Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), 2020
Proceedings of the 22nd International Conference on Enterprise Information Systems, 2020
2019
Supporting User Steering In Large-Scale Workflows With Provenance Data. (Support des actions de pilotage dans les workflows à grande échelle avec données de provenance).
PhD thesis, 2019
Future Gener. Comput. Syst., 2019
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering.
Proceedings of the 2019 IEEE/ACM Workflows in Support of Large-Scale Science, 2019
Proceedings of the 15th International Conference on eScience, 2019
2018
Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project.
Proceedings of the Latin America Data Science Workshop co-located with 44th International Conference on Very Large Data Bases (VLDB 2018), 2018
Towards a Human-in-the-Loop Library for Tracking Hyperparameter Tuning in Deep Learning Development.
Proceedings of the Latin America Data Science Workshop co-located with 44th International Conference on Very Large Data Bases (VLDB 2018), 2018
Proceedings of the Provenance and Annotation of Data and Processes, 2018
Capturing Provenance for Runtime Data Analysis in Computational Science and Engineering Applications.
Proceedings of the Provenance and Annotation of Data and Processes, 2018
2017
Proceedings of the XXXII Simpósio Brasileiro de Banco de Dados, 2017
2016
Proceedings of the 11th Workshop on Workflows in Support of Large-Scale Science co-located with The International Conference for High Performance Computing, 2016
Integrating Domain-Data Steering with Code-Profiling Tools to Debug Data-Intensive Workflows.
Proceedings of the 11th Workshop on Workflows in Support of Large-Scale Science co-located with The International Conference for High Performance Computing, 2016
Proceedings of the Computational Processing of the Portuguese Language, 2016
Proceedings of the High Performance Computing - Third Latin American Conference, 2016
2015
Uma Abordagem para Publicação de Dados de Proveniência de Workflows Científicos na Web Semântica.
Proceedings of the XXX Simpósio Brasileiro de Banco de Dados, 2015