Md Abdul Kadir, M.Sc.

Kontakt +49 681 85775 7445 (Saarbrücken)

Adresse (Saarbrücken) Gebäude D3 1Stuhlsatzenhausweg 366123 Saarbrücken

Publikationen

Towards Interpretable Radiology Report Generation via Concept Bottlenecks Using a Multi-agentic RAG
Hasan Md Tusfiqur Alam; Devansh Srivastav; Md Abdul Kadir; Daniel Sonntag
In: Claudia Hauff; Craig Macdonald; Dietmar Jannach; Gabriella Kazai; Franco Maria Nardini; Fabio Pinelli; Fabrizio Silvestri; Nicola Tonellotto (Hrsg.). Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part III. European Conference on Information Retrieval (ECIR-2025), 47th European Conference on…
Partial Image Active Annotation (PIAA): An Efficient Active Learning Technique Using Edge Information in Limited Data Scenarios
Md Abdul Kadir; Hasan Md Tusfiqur Alam; Devansh Srivastav; Hans-Jürgen Profitlich; Daniel Sonntag
In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Pages 1-12, Springer, 6/2024.
Modular Deep Active Learning Framework for Image Annotation: A Technical Report for the Ophthalmo-AI Project
Md Abdul Kadir; Hasan Md Tusfiqur Alam; Pascale Maul; Hans-Jürgen Profitlich; Moritz Wolf; Daniel Sonntag
3/2024.

IUML
Interpretability in Unsupervised Machine Learning
To foster trust, accountability, and informed decisions, it is crucial to develop methods for comprehending and explaining how these models arrive at their conclusions, thus accelerating industrial…