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Aditya Bhattacharya
Aditya Bhattacharya
Explainable AI Researcher, KU Leuven
Zweryfikowany adres z kuleuven.be - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
342022
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
272022
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
82023
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
52020
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
22024
Empirical Analysis of Image Caption Generation using Deep Learning
A Bhattacharya, ES Girishekar, PA Deshpande
arXiv, 2021
22021
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, ...
22021
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
12024
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
12023
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
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