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Publications

Displaying results 1941 to 1950 of 15054.

  1. Patrick Schramowski; Christopher Tauchmann; Kristian Kersting

    Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content?

    In: FAccT '22: Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency. ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT-22), June 21-24, Seoul, Korea, Republic of, Pages 1350-1361, ISBN 978-1-4503-9352-2, ACM, 2022.

  2. Lukas Struppek; Dominik Hintersdorf; Daniel Neider; Kristian Kersting

    Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash

    In: FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency. ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT-22), June 21-24, Seoul, Korea, Republic of, Pages 58-69, ISBN 978-1-4503-9352-2, ACM, 2022.

  3. Wolfgang Stammer; Marius Memmel; Patrick Schramowski; Kristian Kersting

    Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations

    In: IEEE/CVF Conference on Computer Vision and Pattern Recognition. International Conference on Computer Vision and Pattern Recognition (CVPR-2022), June 18-24, New Orleans, LA, USA, Pages 10307-10318, IEEE, 2022.

  4. Mei Ling Fang; Devendra Singh Dhami; Kristian Kersting

    DP-CTGAN: Differentially Private Medical Data Generation Using CTGANs

    In: Martin Michalowski; Syed Sibte Raza Abidi; Samina Abidi (Hrsg.). Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine. Conference on Artificial Intelligence in Medicine (AIME-2022), June 14-17, Halifax, NS, Canada, Pages 178-188, Lecture Notes in Computer Science, Vol. 13263, Springer, 2022.

  5. Guillermo Lopez-Garcia; Jose Miguel Acitores Cortina; Jacob Berkowitz; Joey Chan; Sumon Kanti Dey; Ivan Flores Amaro; Fernando Gallego; Lauren Gryboski; Ari Z Klein; Farnoush Zeidi Kolehparcheh15; others

    Overview of the 11th Social Media Mining for Health (# SMM4H) and Health Real-World Data (HeaRD) Shared Tasks at ACL 2026

    In: The 11th Social Media Mining for Health Research and Applications (SMM4H-HeaRD 2026) Workshop and Shared Tasks. Social Media Mining for Health Research and Applications Workshop (SMM4H-2026), Pages 1-10, ACL, 2026.

  6. Zeineb Sassi; Sascha Eickmann; Roland Roller; Bilgin Osmanodja; Jakob Joachim Spencker; Ömer Ege Ömerouglu; Aljoscha Burchardt; Michael Hahn; Peter Dabrock; Sebastian Möller; others

    Human-AI Interaction in Kidney Transplant Decision Support Systems: Qualitative Study of Patient and Support Person Expectations

    In: Journal of Medical Internet Research (JMIR), Vol. 28, Pages 1-13, JMIR Publications Toronto, Canada, 2026.

  7. Bilgin Osmanodja; Jakob Joachim Spencker; Ömer Ege Ömerouglu; Zeineb Sassi; Roland Roller; Sascha Vu-Eickmann; Hannah Thomas; Aljoscha Burchardt; Michael Hahn; Tabea Otten; others

    Randomized trial of electronic health record implemented AI risk prediction in kidney transplant care

    In: npj Digital Medicine, Vol. 9, No. 1, Pages 1-10, Nature Publishing Group UK London, 2026.

  8. Ibrahim Baroud; Christoph Otto; Vera Czehmann; Christine Hovhannisyan; Lisa Raithel; Sebastian Möller; Roland Roller

    MultiGraSCCo: A Multilingual Anonymization Benchmark with Annotations of Personal Identifiers

    In: Proceedings of the 15th Language Resources and Evaluation Conference (LREC). International Conference on Language Resources and Evaluation (LREC-2026), Pages 1-10, LREC, 2026.

  9. Johann Frei; Nils Feldhus; Lisa Raithel; Roland Roller; Alexander Hövelmeyer; Frank Kramer

    Infherno: End-to-end Agent-based FHIR Resource Synthesis from Free-form Clinical Notes

    In: Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations). Conference of the European Chapter of the Association for Computational Linguistics (EACL-2026), Pages 163-174, ACL, 2026.

  10. Matteo Gregorini; André Meyer-Vitali

    FLODO: A Protocol for Collaborative Causal Discovery

    In: Maryam Alimardani; Tom Lenaerts; André Meyer-Vitali; Ann Nowé; Joost Vennekens; Shenghui Wang (Hrsg.). Proceedings of the 5th International Conference on Hybrid Human-Artificial Intelligence. International Conference on Hybrid Human-Artificial Intelligence (HHAI-2026), July 6-10, Brussels, Belgium, Pages 359-368, IOS Press, 7/2026.

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