Aditya Bhattacharya

According to our database, Aditya Bhattacharya authored at least 15 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Importance of User Control in Data-Centric Steering for Healthcare Experts.

Aditya Bhattacharya, Simone Stumpf, Katrien Verbert

CoRR, June, 2025

Let's Get You Hired: A Job Seeker's Perspective on Multi-Agent Recruitment Systems for Explaining Hiring Decisions.

Aditya Bhattacharya, Katrien Verbert

CoRR, May, 2025

"Show Me How": Benefits and Challenges of Agent-Augmented Counterfactual Explanations for Non-Expert Users.

Aditya Bhattacharya, Tim Vanherwegen, Katrien Verbert

Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, 2025

Visual-Conversational Interface for Evidence-Based Explanation of Diabetes Risk Prediction.

Reza Samimi, Aditya Bhattacharya, Lucija Gosak, Gregor Stiglic, Katrien Verbert

Proceedings of the 7th ACM Conference on Conversational User Interfaces, 2025

Explanatory Debiasing: Involving Domain Experts in the Data Generation Process to Mitigate Representation Bias in AI Systems.

Aditya Bhattacharya, Simone Stumpf, Robin De Croon, Katrien Verbert

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

2024

Cross-Domain Evaluation of Few-Shot Classification Models: Natural Images vs. Histopathological Images.

Ardhendu Sekhar, Aditya Bhattacharya, Vinayak Goyal, Vrinda Goel, Aditya Bhangale, Ravi Kant Gupta, Amit Sethi

CoRR, 2024

"How Good Is Your Explanation?": Towards a Standardised Evaluation Approach for Diverse XAI Methods on Multiple Dimensions of Explainability.

Aditya Bhattacharya, Katrien Verbert

Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

Representation Debiasing of Generated Data Involving Domain Experts.

Aditya Bhattacharya, Simone Stumpf, Katrien Verbert

Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

An Explanatory Model Steering System for Collaboration between Domain Experts and AI.

Aditya Bhattacharya, Simone Stumpf, Katrien Verbert

Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

EXMOS: Explanatory Model Steering through Multifaceted Explanations and Data Configurations.

Aditya Bhattacharya, Simone Stumpf, Lucija Gosak, Gregor Stiglic, Katrien Verbert

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Towards Directive Explanations: Crafting Explainable AI Systems for Actionable Human-AI Interactions.

Aditya Bhattacharya

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Lessons Learned from EXMOS User Studies: A Technical Report Summarizing Key Takeaways from User Studies Conducted to Evaluate The EXMOS Platform.

Aditya Bhattacharya, Simone Stumpf, Lucija Gosak, Gregor Stiglic, Katrien Verbert

CoRR, 2023

Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations.

Aditya Bhattacharya, Jeroen Ooge, Gregor Stiglic, Katrien Verbert

Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

2018

Real-time Simulink implementation of noise adaptive speech processing pipeline of cochlear implants.

Fatemeh Saki, Aditya Bhattacharya, Nasser Kehtarnavaz

Speech Commun., 2018

2017

Low-latency smartphone app for real-time noise reduction of noisy speech signals.

Aditya Bhattacharya, Abhishek Sehgal, Nasser Kehtarnavaz

Proceedings of the 26th IEEE International Symposium on Industrial Electronics, 2017