3 papers
cs.LG2026
Explanations-Driven Active Feature Acquisition for Algorithmic Recourse
Vinura Galwaduge, Jagath Samarabandu
Algorithmic recourse methods typically assume that a predictive model has access to all features of an individual. In practice, decisions are often made with partial information, b…
cs.LG2025
Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection
Vinura Galwaduge, Jagath Samarabandu
Modern network intrusion detection systems (NIDS) frequently utilize the predictive power of complex deep learning models. However, the "black-box" nature of such deep learning met…
cs.LG2025
An Investigation into Seasonal Variations in Energy Forecasting for Student Residences
Muhammad Umair Danish, Mathumitha Sureshkumar, Tehara Fonseka +2
This research provides an in-depth evaluation of various machine learning models for energy forecasting, focusing on the unique challenges of seasonal variations in student residen…