Urja Pawar

Orcid: 0009-0009-2902-9425

According to our database1, Urja Pawar authored at least 11 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Moral Preferences of LLMs Under Directed Contextual Influence.
CoRR, February, 2026

2025
Detecting High-Stakes Interactions with Activation Probes.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024
Optimal Neighborhood Contexts in Explainable AI: An Explanandum-Based Evaluation.
IEEE Open J. Comput. Soc., 2024

The Dynamics of Explainability: Diverse Insights from SHAP Explanations using Neighbourhoods.
Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

On the Impact of Neighbourhood Sampling to Satisfy Sufficiency and Necessity Criteria in Explainable AI.
Proceedings of the Causal Learning and Reasoning, 2024

2022
Classification of Stress via Ambulatory ECG and GSR Data.
CoRR, 2022

2021
Evaluating Hierarchical Medical Workflows using Feature Importance.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020
Explainable AI in Healthcare.
Proceedings of the 2020 International Conference on Cyber Situational Awareness, 2020

Incorporating Explainable Artificial Intelligence (XAI) to aid the Understanding of Machine Learning in the Healthcare Domain.
Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science, 2020

2019
Interpretable Machine Learning Models for Assisting Clinicians in the Analysis of Physiological Data.
Proceedings of the Proceedings for the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019

Arrhythmia Detection in ECG Signals Using a Multilayer Perceptron Network.
Proceedings of the Proceedings for the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019


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