research
∙
07/27/2022
Towards Clear Expectations for Uncertainty Estimation
If Uncertainty Quantification (UQ) is crucial to achieve trustworthy Mac...
share
research
∙
09/03/2021
Sample Noise Impact on Active Learning
This work explores the effect of noisy sample selection in active learni...
research
∙
07/05/2021
Identification and validation of Triamcinolone and Gallopamil as treatments for early COVID-19 via an in silico repurposing pipeline
SARS-CoV-2, the causative virus of COVID-19 continues to cause an ongoin...
research
∙
12/18/2020
Rebuilding Trust in Active Learning with Actionable Metrics
Active Learning (AL) is an active domain of research, but is seldom used...
research
∙
01/22/2018
Offline A/B testing for Recommender Systems
Before A/B testing online a new version of a recommender system, it is u...
research
∙
11/18/2016
Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example
Resting-state functional Magnetic Resonance Imaging (R-fMRI) holds the p...
research
∙
12/12/2014
Region segmentation for sparse decompositions: better brain parcellations from rest fMRI
Functional Magnetic Resonance Images acquired during resting-state provi...
research
∙
12/12/2014