Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches
Raw uncertainty estimates from deep evidential regression and deep ensembles are systematically miscalibrated. Post hoc calibration aligns predicted uncertainty with true errors, improving reliability and enabling efficient active learning and reducing computational cost while preserving predictive accuracy.
Bidhan Chandra Garain +3 more
wiley +1 more source
Novel molecule design with POWGAN, a policy-optimized Wasserstein generative adversarial network. [PDF]
Macedo B, Vaz IR, Gomes TT.
europepmc +1 more source
Data Augmentation of Breast Ultrasound Images Using Wasserstein Generative Adversarial Networks
I Gede Susrama Mas Diyasa +5 more
openalex +2 more sources
ABSTRACT Corporate culture is a critical driver of corporate social responsibility, shaping how firms internalize sustainability, social and environmental concerns, yet its governance antecedents are less understood. Motivated by the need to understand how governance structures affect organizational values and behavior, we explore the relationship ...
Sirimon Treepongkaruna, Stefano Starita
wiley +1 more source
Image super-resolution method using a generative adversarial network incorporating attention and residual density. [PDF]
Zhang Q, Hang Y, Zhang H, Lu X, Qiu J.
europepmc +1 more source
Optimized Generative Adversarial Networks for Adversarial Sample Generation
Daniyal M. Alghazzawi +2 more
openaire +1 more source
ABSTRACT While corporate social responsibility (CSR) scholarship assumes that organizational consistency signals effectiveness, there remains a knowledge gap about how MNCs navigate competing institutional logics between headquarters and subsidiaries. This study investigates how managerial sensemaking mediates the effects of institutional pressures on ...
Charles Antony Diab, Wendy Stubbs
wiley +1 more source
Super-resolution reconstruction of industrial PET images using a prior-knowledge-based generative adversarial network. [PDF]
Zhu M, Zhao M, Yao M.
europepmc +1 more source
How artificial intelligence (AI) and digital twin (DT) technologies are revolutionizing tunnel surveillance, offering proactive maintenance strategies and enhanced safety protocols. It explores AI's analytical power and DT's virtual replicas of infrastructure, emphasizing their role in optimizing maintenance and safety in tunnel management.
Mohammad Afrazi +4 more
wiley +1 more source
A bias field correction workflow based on generative adversarial network for abdominal cancers treated with 0.35T MR-LINAC. [PDF]
Yang CC, Yang HT.
europepmc +1 more source

