4 papers
Estimation-Prediction Tradeoff in Causal Probabilistic Temporal Graphs
Aniq Ur Rahman
Temporal link prediction (TLP) is typically evaluated by predictive performance on unseen edges, but this criterion can conflate predictive accuracy with recovery of the underlying…
Generating Causal Temporal Interaction Graphs for Counterfactual Validation of Temporal Link Prediction
Aniq Ur Rahman, Justin P. Coon
Temporal link prediction (TLP) models are commonly evaluated based on predictive accuracy, yet such evaluations do not assess whether these models capture the causal mechanisms tha…
XDT-CXR: Investigating Cross-Disease Transferability in Zero-Shot Binary Classification of Chest X-Rays
Umaima Rahman, Abhishek Basu, Muhammad Uzair Khattak +1
This study explores the concept of cross-disease transferability (XDT) in medical imaging, focusing on the potential of binary classifiers trained on one disease to perform zero-sh…
Online Algorithm for Node Feature Forecasting in Temporal Graphs
Aniq Ur Rahman, Justin P. Coon
In this paper, we propose an online algorithm mspace for forecasting node features in temporal graphs, which captures spatial cross-correlation among different nodes as well as the…