Informed machine learning to reconcile interpretability with fidelity in scientific applications
Crossref DOI link: https://doi.org/10.1007/s10462-025-11282-y
Published Online: 2025-07-19
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Murari, Andrea
Rossi, Riccardo
Spolladore, Luca
Wyss, Ivan
Gelfusa, Michela
Text and Data Mining valid from 2025-07-19
Version of Record valid from 2025-07-19
Article History
Accepted: 30 May 2025
First Online: 19 July 2025
Declarations
:
: The authors declare no competing interests.