Xbest: Generative AI towards Inference to the Best Explanation
Status:
The purpose of this project – XBest – is to improve the transparency of AI systems by developing a novel theoretical framework to achieve Inference to the Best Explanation (IBE) for eXplainable AI (XAI).
| First Name | Last Name | Title |
|---|---|---|
| Mobyen Uddin | Ahmed | Professor |
| Shahina | Begum | Professor |
| Shaibal | Barua | Senior Lecturer |
A Theoretical Probabilistic Framework for Explaining Generative AI (Sep 2025) Shahina Begum, Shaibal Barua, Mobyen Uddin Ahmed, Mir Riyanul Islam International conference on Advanced Machine Learning and Data Science (AMLDS 25)
Interpretable Self-Supervised Learning for Fault Identification in Printed Circuit Board Assembly Testing (Sep 2025) Md Rakibul Islam , Shahina Begum, Mobyen Uddin Ahmed AI-Based Machinery Health Monitoring (ApplSci25)
Towards Sustainable AI Development: A Focus on Transparency and Explainability (Jul 2025) Shahina Begum, Mobyen Uddin Ahmed, Mosarrat Farhana 2nd International Conference on Creativity, Technology, and Sustainability (CCTS)
