While training for the Paralympics, self-proclaimed data nerd Samantha Bosco wore a sleep tracker, logged her macronutrients and meticulously analyzed her performance data. Already a champion cyclist ...

Abstract: Data imbalance is an important issue in data-driven deep-learning methodologies. In sound event detection (SED), there are two types of data imbalance issues caused by the diverse time ...

This repository contains the source material, code, and data for the book, Computational Methods for Economists using Python, by Richard W. Evans (2023). This book is freely available online as an ...

Abstract: Class-incremental fault diagnosis requires a model to adapt to new fault classes while retaining previous knowledge. However, limited research exists for imbalanced and long-tailed data.