Making the most of errors: Utilizing erroneous classifications generated by machine-learning models of neuroimaging data to capture disorder heterogeneity.

Authors

Wendy Heller (ORCID: https://orcid.org/0000-0002-6854-558X)
Sarah M Olshan (ORCID: https://orcid.org/0000-0002-7174-1979)
Corey Richier (ORCID: https://orcid.org/0000-0001-9766-9146)
Gregory A. Miller (ORCID: https://orcid.org/0000-0002-2702-610X)
Kyle Baacke (ORCID: https://orcid.org/0000-0002-7421-7072)

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article

Wendy Heller, Sarah M Olshan, Corey Richier, Gregory A. Miller et al.

Oct 31, 2024

2 citations

Journal of Psychopathology and Clinical Science

Explainable Artificial Intelligence (XAI)

0.69

article

Wendy Heller, Sarah M Olshan, Corey Richier, Gregory A. Miller, Kyle Baacke

October 31, 2024article en

2 citations

No abstract available for this paper.

Journal of Psychopathology and Clinical ScienceVol. 133(8)

University of Illinois Urbana-Champaign (US), University of Wisconsin–Milwaukee (US)

Openalex Percentile: Top 23%

Explainable Artificial Intelligence (XAI)

0.69

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