CWI

Ronald de Wolf

Ronald de Wolf (1973) studied computer science and philosophy at the Erasmus University Rotterdam, with a focus on logic-based machine learning. He obtained his PhD in 2001 from the University of ...
Investopedia

Random Variables: Concepts, Types, and Its Applications in Probability

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Frontiers

DEG-BRIN-GCN: interpretable graph convolutional framework with differentially expressed genes brain region interaction network prior for AD diagnosis

Due to the intricate dynamic coupling between molecular networks and brain regions, early diagnosis and pathological mechanism analysis of Alzheimer's disease (AD) remain highly challenging. To ...
PNAS

A general framework for branch length estimation in Ancestral Recombination Graphs

Model misspecification is a common challenge in population genetic inference, as oversimplified mathematical models often fail to capture complex evolutionary processes. Here, we introduce a framework ...
Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...
Frontiers

Accuracy of attribute estimation in the crossed random effects linear logistic test model: impact of Q-matrix misspecification

A simulation study is designed to explore the accuracy of attribute parameter estimation in the crossed random effects linear logistic test model (CRELLTM) with the impact of Q-matrix misspecification ...
C&EN

Gibbs–Helmholtz Graph Neural Network for the Prediction of Activity Coefficients of Polymer Solutions at Infinite Dilution

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Machine learning models have gained prominence for predicting pure-component ...
BMJ

Pathogenesis of multiple sclerosis: genetic, environmental and random mechanisms

Background The pathogenesis of multiple sclerosis (MS) requires both genetic factors and environmental events. The question remains, however, whether these factors and events completely describe the ...
C&EN

Graph-Driven Reaction Discovery: Progress, Challenges, and Future Opportunities

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...
www.cs.cmu.edu

Queueing Theory in Action

Readers benefit from a lively mix of motivation and intuition, with illustrations, examples, and more than 300 exercises, all while acquiring the skills needed to model, analyze, and design ...
The Lancet

SARS-CoV-2 infection and vaccine effectiveness in England (REACT-1): a series of cross-sectional random community surveys

aSchool of Public Health, Imperial College London, London, UK bMRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK cMRC Centre for Global infectious ...