Explainable Deep Modeling of Tabular Data using TableGraphNet. - Gabriel Terejanu; Jawad Chowdhury; Rezaur Rashid; Asif J. Chowdhury (CoRR, 2020)

From Causal Pairs to Causal Graphs. - Rezaur Rashid; Jawad Chowdhury; Gabriel Terejanu (ICMLA, 2022)

Causal Feature Selection: Methods and a Novel Causal Metric Evaluation Framework. - Rezaur Rashid; Jawad Chowdhury; Gabriel Terejanu (DSAA, 2023)

Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS. - Jawad Chowdhury; Rezaur Rashid; Gabriel Terejanu (ICPRAM, 2023)

An Explainable AI Data Pipeline for Multi-Level Survival Prediction of Breast Cancer Patients Using Electronic Medical Records and Social Determinants of Health Data. - Soheil Hashtarkhani; Shelley White-Means; Sam Li; Rezaur Rashid; Fekede Asefa Kumsa; Cindy Lemon; Lluvia Chipman; Jill Dapremont; Brianna White; Arash Shaban-Nejad (IEEE Big Data, 2024)

AI-Ready Multimodal Data Pipeline to Enrich Cancer Care. - Rezaur Rashid; Soheil Hashtarkhani; Fekede Asefa Kumsa; Lokesh K. Chinthala; Brianna M. White; Janet A ZinK; Christopher L. Brett; Robert L. Davis; David L. Schwartz; Arash Shaban-Nejad (IEEE Big Data, 2024)

Quantifying Influencer Impact on Affective Polarization. - Rezaur Rashid; Joshua Melton; Ouldouz Ghorbani; Siddharth Krishnan; Shannon Reid; Gabriel Terejanu (ICMLA, 2024)

Quantifying Influencer Effects on Affective Polarization. - Rezaur Rashid; Joshua Melton; Ouldouz Ghorbani; Siddharth Krishnan; Shannon Reid; Gabriel Terejanu (CoRR, 2024)

From Observations to Causations: A GNN-based Probabilistic Prediction Framework for Causal Discovery. - Rezaur Rashid; Gabriel Terejanu (CoRR, 2025)