Objective: People often have their decisions influenced by rare outcomes, such as buying a lottery and believing they will win, or not buying a product because of a few negative reviews. Previous ...
Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia ...
The Commission on Elections (Comelec) has allowed candidates and their supporters to distribute sample ballots ahead of the May 12, 2025 national and local elections. Comelec chairman George Garcia ...
Abstract: Many existing deep learning models suffer from a fundamental limitation, where they often misclassify Out-of-Distribution (OOD) data as In-Distribution (ID) data. OOD data represent data ...
Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...
In the first part of his video interview with Pharma Commerce Editor Nicholas Saraceno, Mark Jara, founder and CTO, RxS, describes the progression of the sample distribution process. In a video ...
Abstract: Semantically coherent out-of-distribution detection (SCOOD) is a recently proposed realistic OOD detection setting: given labeled in-distribution (ID) data and mixed in-distribution and ...
Introduction: HPV self-sampling is a relatively new, cost-effective and widely accepted method, however, uptake in LMICs remains limited. We aimed to map out the evidence and identify gaps in accuracy ...
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