Liliane N. O. Kunstmann

Orcid: 0000-0003-2648-7059

According to our database1, Liliane N. O. Kunstmann authored at least 10 papers between 2020 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
CoRR, 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
PINNProv: Provenance for Physics-Informed Neural Networks.
Proceedings of the International Symposium on Computer Architecture and High Performance Computing Workshops , 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
A workflow for seismic imaging with quantified uncertainty.
Comput. Geosci., 2020

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


  Loading...