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Publications

Displaying results 2001 to 2010 of 14747.

  1. Ibrahim Baroud; Lisa Raithel; Sebastian Möller; Roland Roller

    Beyond De-Identification: A Structured Approach for Defining and Detecting Indirect Identifiers in Medical Texts

    In: Proceedings of the Sixth Workshop on Privacy in Natural Language Processing. Workshop on Privacy in Natural Language Processing (PrivateNLP-2025), located at NAACL, May 4, Pages 75-85, ISBN 979-8-89176-246-6, Association for Computational Linguistics, 2025.

  2. Zeineb Sassi; Sascha Eickmann; Roland Roller; Bilgin Osmanodja; Aljoscha Burchardt; Max Tretter; David Samhammer; Peter Dabrock; Sebastian Möller; Klemens Budde; Anne Herrmann

    Human-centered AI in healthcare: empowering patients and support persons in clinical decision-making

    In: BMC Medical Informatics and Decision Making (MIDM), Vol. 25, No. 1, Pages 1-4, Springer, 2025.

  3. Klaus Netter; Tobias Strapatsas; Florian Oetke; Roland Roller

    KIBATIN--Ein KI-basiertes Assistenzsystem für Triagierung in der Notaufnahme

    In: Mario A. Pfannstiel. Künstliche Intelligenz im Einsatz für die erfolgreiche Patientenreise: Innovation, Integration und Stärkung. Pages 307-325, Springer, 2025.

  4. Lisa Raithel; Johann Frei; Philippe Thomas; Roland Roller; Pierre Zweigenbaum; Sebastian Möller; Frank Kramer

    Cross-& multi-lingual medication detection: a transformer-based analysis

    In: BMC Medical Informatics and Decision Making (MIDM), Vol. 25, No. 1, Pages 1-13, Springer, 2025.

  5. Tanja Bäumel (Hrsg.)

    The Lookahead Limitation: Why Multi-Operand Addition is Hard for LLMs

    Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP-2025), located at EMNLP-2025, NA, 2025.

  6. Manuel Brack; Felix Friedrich; Katharina Kornmeier; Linoy Tsaban; Patrick Schramowski; Kristian Kersting; Apolinaros Passos

    LEDITS++: Limitless Image Editing using Text-to-Image Models

    In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). International Conference on Computer Vision and Pattern Recognition (CVPR-2024), 2024.

  7. Quentin Delfosse; Patrick Schramowski; Martin Mundt; Alejandro Molina; Kristian Kersting

    Adaptive Rational Activations to Boost Deep Reinforcement Learning

    In: Proceedings of the International Conference on Representation Learning (ICLR). International Conference on Learning Representations (ICLR-2024), OpenReview.net, 2024.

  8. Lukas Struppek; Dominik Hintersdorf; Kristian Kersting

    Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks

    In: International Conference on Learning Representations (ICLR). International Conference on Learning Representations (ICLR-2024), OpenReview, 2024.

  9. Lukas Struppek; Minh Hieu Le; Dominik Hintersdorf; Kristian Kersting

    Exploring the Adversarial Capabilities of Large Language Models

    2024.

  10. Saurabh Mathur; Veerendra P. Gadekar; Rashika Ramola; Peixin Wang; Ramachandran Thiruvengadam; David M. Haas; Shinjini Bhatnagar; Nitya Wadhwa; Garbhini Study Group; Predrag Radivojac; Himanshu Sinha; Kristian Kersting; Sriraam Natarajan

    Modeling Multiple Adverse Pregnancy Outcomes: Learning from Diverse Data Sources

    In: Joseph Finkelstein; Robert Moskovitch; Enea Parimbelli (Hrsg.). Artificial Intelligence in Medicine - 22nd International Conference, AIME 2024, Salt Lake City, UT, USA, July 9-12, 2024, Proceedings, Part I. Conference on Artificial Intelligence in Medicine (AIME), Pages 293-302, Lecture Notes in Computer Science, Vol. 14844, Springer, 2024.

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