XSMILES: interactive visualization for molecules, SMILES and XAI attribution scores
Abstract Background Explainable artificial intelligence (XAI) methods have shown increasing applicability in chemistry. In this context, visualization techniques can highlight regions of a molecule to reveal their influence over a predicted property. For this purpose, some XAI techniques calculate a...
Main Authors: | Henry Heberle, Linlin Zhao, Sebastian Schmidt, Thomas Wolf, Julian Heinrich |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2023-01-01
|
Series: | Journal of Cheminformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13321-022-00673-w |
Similar Items
-
Explainable Artificial Intelligence (XAI): Concepts and Challenges in Healthcare
by: Tim Hulsen
Published: (2023-08-01) -
Feature relevance XAI in anomaly detection: Reviewing approaches and challenges
by: Julian Tritscher, et al.
Published: (2023-02-01) -
Exploring the similarities of XAI approaches in finding the influential factors in lung cancer survival rate
by: Tan, Elise Zining
Published: (2024) -
Explaining autonomous drones: An XAI journey
by: Mark Stefik, et al.
Published: (2021-12-01) -
Unveiling the Black Box: A Unified XAI Framework for Signal-Based Deep Learning Models
by: Ardeshir Shojaeinasab, et al.
Published: (2024-02-01)