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Md Abdul Kadir, M.Sc.

Organisationseinheit Interaktives Maschinelles Lernen
Kontakt +49 681 85775 7445 (Saarbrücken)

Adresse (Saarbrücken) Gebäude D3 1Stuhlsatzenhausweg 366123 Saarbrücken

Publikationen

Alle Publikationen

  1. CBM-RAG: Demonstrating Enhanced Interpretability in Radiology Report Generation with Multi-Agent RAG and Concept Bottleneck Models

    Hasan Md Tusfiqur Alam; Devansh Srivastav; Abdulrahman Mohamed Selim; Md Abdul Kadir; Md Moktadirul Hoque Shuvo; Daniel Sonntag

    In: Companion Proceedings of the 17th ACM SIGCHI Symposium on Engineering Interactive Computing Systems. ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS-2025), 17th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, located at EICS-2025, June 23-27, Trier, Germany, Pages 59-61, EICS '25 Companion (EICS '25 Companion), ISBN 9798400718663, Association for…

  2. 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…

Profil

  • 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…

    IUML