3 papers
cs.SD2026
Constructing Composite Features for Interpretable Music-Tagging
Chenhao Xue, Weitao Hu, Joyraj Chakraborty +5
Combining multiple audio features can improve the performance of music tagging, but common deep learning-based feature fusion methods often lack interpretability. To address this p…
cs.CL2025
AutoGeTS: Knowledge-based Automated Generation of Text Synthetics for Improving Text Classification
Chenhao Xue, Yuanzhe Jin, Adrian Carrasco-Revilla +2
When developing text classification models for real world applications, one major challenge is the difficulty to collect sufficient data for all text classes. In this work, we addr…
cs.SE2025
Data Virtualization for Machine Learning
Saiful Khan, Joyraj Chakraborty, Philip Beaucamp +2
Nowadays, machine learning (ML) teams have multiple concurrent ML workflows for different applications. Each workflow typically involves many experiments, iterations, and collabora…