How much X is in XAI: Responsible use of “Explainable” artificial intelligence in hydrology and water resources
Author:
Funder
University of Melbourne
Westpac Scholars Trust
Australian Research Council
Publisher
Elsevier BV
Reference48 articles.
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3. Improved data splitting methods for data-driven hydrological model development based on a large number of catchment samples;Chen;J. Hydrol.,2022
4. Explanations based on the missing: towards contrastive explanations with pertinent negatives;Dhurandhar;Adv. Neural Inf. Proces. Syst.,2018
5. Use of some sensitivity criteria for choosing networks with good generalization ability;Dimopoulos;Neural Process. Lett.,1995
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