Daniela Szwarcman
Orcid: 0000-0001-8529-4594
According to our database1,
Daniela Szwarcman
authored at least 19 papers
between 2018 and 2024.
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Collaborative distances:
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Bibliography
2024
Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications.
CoRR, 2024
Evaluating the transferability potential of deep learning models for climate downscaling.
CoRR, 2024
CoRR, 2024
2023
A 3D super-resolution of wind fields via physics-informed pixel-wise self-attention generative adversarial network.
CoRR, 2023
CoRR, 2023
2022
Generating physically-consistent high-resolution climate data with hard-constrained neural networks.
CoRR, 2022
Appl. Soft Comput., 2022
2021
IEEE Trans. Geosci. Remote. Sens., 2021
CoRR, 2021
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
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018