1 citations · 1 across the 6 of their papers we have counts for
6 papers
Measuring Social Media Polarization Using Large Language Models and Heuristic Rules
Jawad Chowdhury, Rezaur Rashid, Gabriel Terejanu
Understanding affective polarization in online discourse is crucial for evaluating the societal impact of social media interactions. This study presents a novel framework that leve…
CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution Generalization
Jawad Chowdhury, Gabriel Terejanu
Improving generalization and achieving highly predictive, robust machine learning models necessitates learning the underlying causal structure of the variables of interest. A promi…
Machine Fault Classification using Hamiltonian Neural Networks
Jeremy Shen, Jawad Chowdhury, Sourav Banerjee +1
A new approach is introduced to classify faults in rotating machinery based on the total energy signature estimated from sensor measurements. The overall goal is to go beyond using…
Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS
Jawad Chowdhury, Rezaur Rashid, Gabriel Terejanu
Causal modeling provides us with powerful counterfactual reasoning and interventional mechanism to generate predictions and reason under various what-if scenarios. However, causal…
From Causal Pairs to Causal Graphs
Rezaur Rashid, Jawad Chowdhury, Gabriel Terejanu
Causal structure learning from observational data remains a non-trivial task due to various factors such as finite sampling, unobserved confounding factors, and measurement errors.…
Explainable Deep Modeling of Tabular Data using TableGraphNet
Gabriel Terejanu, Jawad Chowdhury, Rezaur Rashid +1
The vast majority of research on explainability focuses on post-explainability rather than explainable modeling. Namely, an explanation model is derived to explain a complex black…