Daniel Civitarese
Orcid: 0000-0003-3335-1985
According to our database1,
Daniel Civitarese
authored at least 18 papers
between 2019 and 2024.
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Bibliography
2024
Enhancing operational wind downscaling capabilities over Canada: Application of a Conditional Wasserstein GAN methodology.
CoRR, 2024
CoRR, 2024
2023
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation.
CoRR, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
2022
Concurr. Comput. Pract. Exp., 2022
Appl. Soft Comput., 2022
2021
IEEE Trans. Geosci. Remote. Sens., 2021
CoRR, 2021
2020
2019
Netherlands Dataset: A New Public Dataset for Machine Learning in Seismic Interpretation.
CoRR, 2019
Penobscot Dataset: Fostering Machine Learning Development for Seismic Interpretation.
CoRR, 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
Effective Integration of Symbolic and Connectionist Approaches through a Hybrid Representation.
Proceedings of the 2019 International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2019), 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019