This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

As AI Music Tools Proliferate, Detection Technologies and Industry Responses EvolveThe music industry faces an unprecedented ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

This repository contains hands-on learning materials for the Statistical Machine Learning course (AT25-41253) in the Actuarial Science program at Institut Teknologi Sumatera. The materials are ...

Abstract: Machine learning is a field that was established some years ago with the lofty goal of building computational methods to implement various aspects of teaching, Machine Learning (ML) has ...

The Society for Financial Econometrics (SoFiE) Summer School is an annual week-long research-based course for PhD students, new faculty, and professionals in financial econometrics. For the first two ...

The field of psychiatry has long been grappling with the complexities of mental disorders, which are often characterized by heterogeneous presentations and multifactorial etiologies. Traditional ...

Department of Chemical and Biological Engineering, University of Wisconsin, Madison, Wisconsin 53706, United States Department of Materials Science and Engineering, University of Wisconsin, Madison, ...

A study published last week used a wave flume to evaluate the effects of waves on small-diameter pipelines. The experimental data was interpreted statistically and using machine learning. The ...