Towards Interpretable Models of Chemist Preferences for Human-in-the-Loop Assisted Drug Discovery
Paper i proceeding, 2025
Interpretability
Human-in-the-loop machine learning
Feature decomposition
De novo molecular design
User modelling
Författare
Yasmine Nahal
Aalto-Yliopisto
Markus Heinonen
Aalto-Yliopisto
Mikhail Kabeshov
AstraZeneca AB
Jon Paul Janet
AstraZeneca AB
Eva Nittinger
AstraZeneca AB
Ola Engkvist
AstraZeneca AB
Chalmers, Data- och informationsteknik, Data Science och AI
Samuel Kaski
University of Manchester
Aalto-Yliopisto
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
03029743 (ISSN) 16113349 (eISSN)
Vol. 14894 LNCS 58-709783031723803 (ISBN)
Lugano, Switzerland,
Ämneskategorier
Bioinformatik (beräkningsbiologi)
DOI
10.1007/978-3-031-72381-0_6