Aditya Bhattacharya

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Active Learning

Amyotrophic Lateral Sclerosis

Technical Report

Top Venues

UMAP (Adjunct Publication)

Publications

Aditya Bhattacharya, Simone Stumpf, Katrien Verbert
Representation Debiasing of Generated Data Involving Domain Experts. UMAP (Adjunct Publication) (2024)
Aditya Bhattacharya, Katrien Verbert
"How Good Is Your Explanation?": Towards a Standardised Evaluation Approach for Diverse XAI Methods on Multiple Dimensions of Explainability. UMAP (Adjunct Publication) (2024)
Aditya Bhattacharya, Simone Stumpf, Katrien Verbert
Representation Debiasing of Generated Data Involving Domain Experts. CoRR (2024)
Aditya Bhattacharya
Towards Directive Explanations: Crafting Explainable AI Systems for Actionable Human-AI Interactions. CHI Extended Abstracts (2024)
Aditya Bhattacharya, Simone Stumpf, Lucija Gosak, Gregor Stiglic, Katrien Verbert
EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations. CoRR (2024)
Aditya Bhattacharya, Simone Stumpf, Katrien Verbert
An Explanatory Model Steering System for Collaboration between Domain Experts and AI. CoRR (2024)
Aditya Bhattacharya
Towards Directive Explanations: Crafting Explainable AI Systems for Actionable Human-AI Interactions. CoRR (2024)
Aditya Bhattacharya, Simone Stumpf, Katrien Verbert
An Explanatory Model Steering System for Collaboration between Domain Experts and AI. UMAP (Adjunct Publication) (2024)
Aditya Bhattacharya, Simone Stumpf, Lucija Gosak, Gregor Stiglic, Katrien Verbert
EXMOS: Explanatory Model Steering through Multifaceted Explanations and Data Configurations. CHI (2024)
Aditya Bhattacharya, Jeroen Ooge, Gregor Stiglic, Katrien Verbert
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations. CoRR (2023)
Aditya Bhattacharya, Simone Stumpf, Lucija Gosak, Gregor Stiglic, Katrien Verbert
Lessons Learned from EXMOS User Studies: A Technical Report Summarizing Key Takeaways from User Studies Conducted to Evaluate The EXMOS Platform. CoRR (2023)
Aditya Bhattacharya, Jeroen Ooge, Gregor Stiglic, Katrien Verbert
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations. IUI (2023)
Aditya Bhattacharya, Eshwar Shamanna Girishekar, Padmakar Anil Deshpande
Empirical Analysis of Image Caption Generation using Deep Learning. CoRR (2021)
Aditya Bhattacharya, Shayok Chakraborty
Active Learning with n-ary Queries for Image Recognition. WACV (2019)
Chris Mills, Javier Escobar-Avila, Aditya Bhattacharya, Grigoriy Kondyukov, Shayok Chakraborty, Sonia Haiduc
Tracing with Less Data: Active Learning for Classification-Based Traceability Link Recovery. ICSME (2019)
Fatemeh Saki, Aditya Bhattacharya, Nasser Kehtarnavaz
Real-time Simulink implementation of noise adaptive speech processing pipeline of cochlear implants. Speech Commun. 96 (2018)
Vishwas G. Torvi, Aditya Bhattacharya, Shayok Chakraborty
Deep Domain Adaptation to Predict Freezing of Gait in Patients with Parkinson's Disease. ICMLA (2018)
Aditya Bhattacharya, Abhishek Sehgal, Nasser Kehtarnavaz
Low-latency smartphone app for real-time noise reduction of noisy speech signals. ISIE (2017)