| Deep domain adaptation to predict freezing of gait in patients with Parkinson's disease VG Torvi, A Bhattacharya, S Chakraborty 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 60 | 2018 |
| Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more A Bhattacharya Packt Publishing Ltd, 2022 | 39 | 2022 |
| Tracing with less data: active learning for classification-based traceability link recovery C Mills, J Escobar-Avila, A Bhattacharya, G Kondyukov, S Chakraborty, ... 2019 IEEE International Conference on Software Maintenance and Evolution …, 2019 | 25 | 2019 |
| A new approach for the study of hadron-nucleus interactions through compound multiplicity D Ghosh, J Roy, K Sengupta, M Basu, S Naha, A Bhattacharya Hadronic Journal 5, 163-173, 1981 | 15 | 1981 |
| Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations A Bhattacharya, J Ooge, G Stiglic, K Verbert Proceedings of the 28th International Conference on Intelligent User …, 2023 | 10 | 2023 |
| A Generic Active Learning Framework for Class Imbalance Applications. AR Bhattacharya, J Liu, S Chakraborty BMVC, 121, 2019 | 9 | 2019 |
| EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations A Bhattacharya, S Stumpf, L Gosak, G Stiglic, K Verbert arXiv preprint arXiv:2402.00491, 2024 | 5 | 2024 |
| Towards Directive Explanations: Crafting Explainable AI Systems for Actionable Human-AI Interactions A Bhattacharya arXiv preprint arXiv:2401.04118, 2023 | 4 | 2023 |
| Lessons Learned from EXMOS User Studies: A Technical Report Summarizing Key Takeaways from User Studies Conducted to Evaluate The EXMOS Platform A Bhattacharya, S Stumpf, L Gosak, G Stiglic, K Verbert arXiv preprint arXiv:2310.02063, 2023 | 4 | 2023 |
| Analysis of an axially irradiated cylindrical photoreactor—I. plug flow model A Bhattacharya, PK Deshpande Chemical Engineering Science 34 (1), 145-148, 1979 | 4 | 1979 |
| Empirical Analysis of Image Caption Generation using Deep Learning A Bhattacharya, ES Girishekar, PA Deshpande arXiv preprint arXiv:2105.09906, 2021 | 2 | 2021 |
| Active learning with n-ary queries for image recognition AR Bhattacharya, S Chakraborty 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 800-808, 2019 | 2 | 2019 |
| Deep active learning with range feedback for facial age estimation AR Bhattacharya, S Chakraborty 2022 International Joint Conference on Neural Networks (IJCNN), 1-9, 2022 | 1 | 2022 |
| Study on mineralogical and textural aspect of the lamproites of Kalyani Mines East Bokaro Coalfield, Jharkhand A Bhattacharya, K SengupTA Indian Minerals 57, 169-176, 2003 | 1 | 2003 |
| ANALYSIS OF AN AXIALLY IRRADIATED PHOTOCHEMICAL REACTOR. A Bhattacharya, PK Deshpande Journal of the Indian Institute of Science 60 (9), 327, 1978 | 1 | 1978 |
| Representation Debiasing of Generated Data Involving Domain Experts A Bhattacharya, S Stumpf, K Verbert Preprints, 2024 | | 2024 |
| " How Good Is Your Explanation?": Towards a Standardised Evaluation Approach for Diverse XAI Methods on Multiple Dimensions of Explainability A Bhattacharya, K Verbert Preprints, 2024 | | 2024 |
| An Explanatory Model Steering System for Collaboration between Domain Experts and AI A Bhattacharya, S Stumpf, K Verbert arXiv preprint arXiv:2405.13038, 2024 | | 2024 |
| Exploring Domain Knowledge Driven Manual and Automated Data Configurations in Explanatory Interactive Machine Learning A Bhattacharya OSF, 2023 | | 2023 |
| Machine Learning Approaches to Understanding and Predicting Patterns of Adherence S Chakraborty, A Bhattacharya, S Tian, N Roque, Z He, W Boot Innovation in Aging 5 (Suppl 1), 551, 2021 | | 2021 |
