Results 181 to 190 of about 22,784,147 (354)

Privacy-Adversarial User Representations in Recommender Systems. [PDF]

open access: green, 2018
Yehezkel S. Resheff   +3 more
openalex  

Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches

open access: yesChemistry – A European Journal, EarlyView.
ABSTRACT Machine learning (ML) models are increasingly used in quantum chemistry, but their reliability hinges on uncertainty quantification (UQ). In this study, we compare two prominent UQ paradigms—deep evidential regression (DER) and deep ensembles—on the QM9 and WS22 datasets, with a specific emphasis on the role of post hoc calibration.
Bidhan Chandra Garain   +3 more
wiley   +1 more source

Practice Insight: Adapting Peacebuilding Dialogue Methodologies to City‐Resident Relations and Inclusive Policymaking in Calgary, Canada

open access: yesConflict Resolution Quarterly, EarlyView.
ABSTRACT This case study presents a project in which peacebuilding dialogue methodologies were adapted for use in municipal‐level dialogue sessions that took place in Calgary, Canada in late 2022 and early 2023. The authors found that using this approach built trust among cross‐sectoral participants and facilitators, resulted in greater diversity ...
Aleem Bharwani, Josh Nadeau
wiley   +1 more source

Real‐time monitoring of tunnel structures using digital twin and artificial intelligence: A short overview

open access: yesDeep Underground Science and Engineering, EarlyView.
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

Home - About - Disclaimer - Privacy