4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.AI2026
MoCo-AIS: A Contrastive Learning Framework for Similarity Computation of Vessel Trajectories
Ruixin Song, Md Mahbub Alam, Zahra Sadeghi +3
Trajectory similarity is a fundamental task in analyzing mobility patterns, essential for applications such as route pattern extraction, mobility prediction, and anomaly detection.…
cs.LG2024★ 4 cited
A Review of Global Sensitivity Analysis Methods and a comparative case study on Digit Classification
Zahra Sadeghi, Stan Matwin
Global sensitivity analysis (GSA) aims to detect influential input factors that lead a model to arrive at a certain decision and is a significant approach for mitigating the comput…
cs.LG2024
Causal Generative Explainers using Counterfactual Inference: A Case Study on the Morpho-MNIST Dataset
Will Taylor-Melanson, Zahra Sadeghi, Stan Matwin
In this paper, we propose leveraging causal generative learning as an interpretable tool for explaining image classifiers. Specifically, we present a generative counterfactual infe…