Débora B. Pina

Orcid: 0000-0001-6616-0291

According to our database1, Débora B. Pina authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
ProvDeploy: Provenance-oriented Containerization of High Performance Computing Scientific Workflows.
CoRR, 2024

DLProv: A Data-Centric Support for Deep Learning Workflow Analyses.
Proceedings of the Eighth Workshop on Data Management for End-to-End Machine Learning, 2024

2023
Deep Learning Provenance Data Integration: a Practical Approach.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

PINNProv: Provenance for Physics-Informed Neural Networks.
Proceedings of the International Symposium on Computer Architecture and High Performance Computing Workshops , 2023

ProvLight: Efficient Workflow Provenance Capture on the Edge-to-Cloud Continuum.
Proceedings of the IEEE International Conference on Cluster Computing, 2023

2022
Capturing Provenance from Deep Learning Applications Using Keras-Prov and Colab: a Practical Approach.
J. Inf. Data Manag., December, 2022

Dados de proveniência para redes neurais guiadas pela Física: o caso da equação eikonal.
Proceedings of the 37th Brazilian Symposium on Databases, 2022

2021
Online Deep Learning Hyperparameter Tuning based on Provenance Analysis.
J. Inf. Data Manag., 2021

Provenance Supporting Hyperparameter Analysis in Deep Neural Networks.
Proceedings of the Provenance and Annotation of Data and Processes, 2021

2020
Uma abordagem para coleta e análise de dados de configurações em redes neurais profundas.
Proceedings of the 35th Brazilian Symposium on Databases, 2020

2019
Análise de Hiperparâmetros em Aplicações de Aprendizado Profundo por meio de Dados de Proveniência.
Proceedings of the 34th Brazilian Symposium on Databases, 2019


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