Understanding uncertainty in deep learning builds confidence
Main Author: | Jürgen Bajorath |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2022-12-01
|
Series: | Artificial Intelligence in the Life Sciences |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2667318522000046 |
Similar Items
-
Relationship between prediction accuracy and uncertainty in compound potency prediction using deep neural networks and control models
by: Jannik P. Roth, et al.
Published: (2024-03-01) -
Classifying rockburst with confidence: A novel conformal prediction approach
by: Bemah Ibrahim, et al.
Published: (2024-01-01) -
Explainable uncertainty quantifications for deep learning-based molecular property prediction
by: Chu-I Yang, et al.
Published: (2023-02-01) -
Click-through Rate Prediction and Uncertainty Quantification Based on Bayesian Deep Learning
by: Xiaowei Wang, et al.
Published: (2023-02-01) -
Evaluating uncertainty-based active learning for accelerating the generalization of molecular property prediction
by: Tianzhixi Yin, et al.
Published: (2023-11-01)