3 papers
cs.LG2026
Causal Discovery in Linear Models with Unobserved Variables and Measurement Error
Yuqin Yang, Mohamed Nafea, Negar Kiyavash +2
The presence of unobserved common causes and measurement error poses two major obstacles to causal structure learning, since ignoring either source of complexity can induce spuriou…
eess.SP2025
Hierarchical Attention Network for Interpretable ECG-based Heart Disease Classification
Mario Padilla Rodriguez, Mohamed Nafea
Cardiovascular disease remains one of the leading causes of mortality worldwide, underscoring the need for accurate as well as interpretable diagnostic machine learning tools. In t…
cs.LG2024
Centralized and Federated Heart Disease Classification Models Using UCI Dataset and their Shapley-value Based Interpretability
Mario Padilla Rodriguez, Mohamed Nafea
Cardiovascular diseases are a leading cause of mortality worldwide, highlighting the need for accurate diagnostic methods. This study benchmarks centralized and federated machine l…