Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more A Bhattacharya Packt Publishing - https://amzn.to/3es0AH7 1, 306, 2022 | 39 | 2022 |
A deep hybrid learning pipeline for accurate diagnosis of ovarian cancer based on nuclear morphology D Sengupta, SN Ali, A Bhattacharya, J Mustafi, A Mukhopadhyay, ... https://journals.plos.org/plosone/article/authors?id=10.1371/journal.pone …, 2022 | 29 | 2022 |
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 |
EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations A Bhattacharya, S Stumpf, L Gosak, G Stiglic, K Verbert Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-27, 2024 | 5 | 2024 |
Nuclear Morphology Optimized Deep Hybrid Learning (NUMODRIL): A novel architecture for accurate diagnosis/prognosis of Ovarian Cancer D Sengupta, SN Ali, A Bhattacharya, J Mustafi, A Mukhopadhyay, ... bioRxiv, 2020.11. 23.393660, 2020 | 5 | 2020 |
Towards Directive Explanations: Crafting Explainable AI Systems for Actionable Human-AI Interactions A Bhattacharya Extended Abstracts of the CHI Conference on Human Factors in Computing …, 2024 | 4 | 2024 |
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 |
Empirical Analysis of Image Caption Generation using Deep Learning A Bhattacharya, ES Girishekar, PA Deshpande arXiv, 2021 | 2 | 2021 |
Nuclear Morphology Optimized Deep Hybrid Learning (NUMODRIL) For Accurate Diagnosis and Prognosis of Ovarian Cancer D Sengupta, SN Ali, A Bhattacharya, J Mustafi, A Mukhopadhyay, ... | 2 | 2021 |
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 |
ACM CHI DC Presentation and Poster for - Towards Directive Explanations: Crafting Explainable AI Systems for Actionable Human-AI Interactions A Bhattacharya https://zenodo.org/records/11086580, 2024 | | 2024 |
System for Executing Nuclear Morphology based Analytics for Accurate Diagnosis / Prognosis of Cancer including Ovarian Cancer Duhita Sengupta, Nishan Ali, Aditya Bhattacharya, Asima Mukhopadhya , Joy ... IN Patent App. 202,231,061,023, 2022 | | 2022 |
SYSTEMS AND METHODS FOR MEDICAL DEVICE USAGE MANAGEMENT RR Silji ABRAHAM, Nakul SUBRAMANIYAN, David MARTIN, Abhijit JANA, Naresh ... US Patent US PCT/US2020/060,102, 2021 | | 2021 |