Author

Haomiao Wang

RESTORE Research Center, Université de Toulouse, INSERM 1301, CNRS 5070, EFS, ENVT, Toulouse, France

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Approach:statistical model· 1

Frequent Co-Authors

Chantal Soulé-Dupuy· 1 shared Cyrille DelpierreiD· 1 shared Emmanuel DoumardiD· 1 shared Julien AligoniD· 1 shared Julien May· 1 shared Louis CasteillaiD· 1 shared Nicolas Labroche· 1 shared Paul MonsarratiD· 1 shared

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2025-2025 · peak 1/yr

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9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Chantal Soulé-Dupuy

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1 paper

Recent·Most cited

Discernibility in explanations: an approach to designing more acceptable and meaningful machine learning models for medicine

Haomiao Wang, Julien Aligon, Julien May, Emmanuel Doumard, Nicolas Labroche, Cyrille Delpierre, Chantal Soulé-Dupuy, Louis Casteilla, Valérie Planat-Benard, Paul Monsarrat

This paper introduces discernibility as a metric to evaluate the clarity of explanations in machine learning models for medicine, finding that the dcor metric best captures user-perceived relationships between data and explanations.

bioRxiv · Apr 6, 2025 · PreprintBioinformatics