Rezaur Rashid

According to our database, Rezaur Rashid authored at least 9 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

From Observations to Causations: A GNN-based Probabilistic Prediction Framework for Causal Discovery.

Rezaur Rashid, Gabriel Terejanu

CoRR, July, 2025

2024

Quantifying Influencer Effects on Affective Polarization.

Rezaur Rashid, Joshua Melton, Ouldouz Ghorbani, Siddharth Krishnan, Shannon Reid, Gabriel Terejanu

CoRR, 2024

Quantifying Influencer Impact on Affective Polarization.

Rezaur Rashid, Joshua Melton, Ouldouz Ghorbani, Siddharth Krishnan, Shannon Reid, Gabriel Terejanu

Proceedings of the International Conference on Machine Learning and Applications, 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

Proceedings of the IEEE International Conference on Big Data, 2024

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

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS.

Jawad Chowdhury, Rezaur Rashid, Gabriel Terejanu

Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

Causal Feature Selection: Methods and a Novel Causal Metric Evaluation Framework.

Rezaur Rashid, Jawad Chowdhury, Gabriel Terejanu

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022

From Causal Pairs to Causal Graphs.

Rezaur Rashid, Jawad Chowdhury, Gabriel Terejanu

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2020

Explainable Deep Modeling of Tabular Data using TableGraphNet.

Gabriel Terejanu, Jawad Chowdhury, Rezaur Rashid, Asif J. Chowdhury

CoRR, 2020