Using Artificial Intelligence/Machine Learning Algorithms as tool for EOV/ECV uncertainty quantification

Presentation given at the ObsSea4Clim annual meeting, March 2025, Sopot. Recording of the talk: https://youtu.be/EGvuPPIaRb8

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-24
DOI
https://doi.org/10.5281/zenodo.15077130
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
0.00
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article

Using Artificial Intelligence/Machine Learning Algorithms as tool for EOV/ECV uncertainty quantification

Zenodo (CERN European Organization for Nuclear Research)
Explainable Artificial Intelligence (XAI)
article

Using Artificial Intelligence/Machine Learning Algorithms as tool for EOV/ECV uncertainty quantification

article en

Abstract

Presentation given at the ObsSea4Clim annual meeting, March 2025, Sopot. Recording of the talk: https://youtu.be/EGvuPPIaRb8

Zenodo (CERN European Organization for Nuclear Research)
Hellenic Centre for Marine Research (GR)
Openalex Percentile: Top 76%
Explainable Artificial Intelligence (XAI)
DOIOpen Access PDFOpenAlex
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Using Artificial Intelligence/Machine Learning Algorithms as tool for EOV/ECV uncertainty quantification · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS