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Publications

Displaying results 301 to 310 of 15055.

  1. Sergio Genovesi; Martin Haimerl; Iris Merget; Samantha Morgaine Prange; Otto Obert; Susanna Wolf; Jens Ziehn

    Evaluating Dimensions of AI Transparency: A Comparative Study of Standards, Guidelines and the EU AI Act

    In: Rebekka Görge; Elena Haedecke; Maximilian Poretschkin; Anna Schmitz (Hrsg.). Symposium on Scaling AI Assessments (SAIA 2024). Symposium on Scaling AI Assessments (SAIA-2024), September 30 - October 1, Cologne, Germany, Pages 10:1-10:17, Open Access Series in Informatics (OASICS), Vol. 126, ISBN ISSN 2190-6807, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 1/2025.

  2. Franek Stark; Jakob Middelberg; Dennis Mronga; Shubham Vyas; Frank Kirchner

    Benchmarking Different QP Formulations and Solvers for Dynamic Quadrupedal Walking

    In: 2025 IEEE International Conference on Robotics and Automation (ICRA). IEEE International Conference on Robotics and Automation (ICRA-2025), IEEE, 2025.

  3. Pascal Grittmann; Ömercan Yazici; Iliyan Georgiev; Philipp Slusallek

    Efficiency-aware multiple importance sampling for bidirectional rendering algorithms

    In: ACM Transactions on Graphics (Proceedings of SIGGRAPH 2022). ACM Siggraph (Siggraph-2022), August 8-11, Vancouver, Canada, Online, 7/2022.

  4. Tuan Dam; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    A unified perspective on value backup and exploration in monte-carlo tree search

    In: Journal of Artificial Intelligence Research (JAIR), Vol. 81, Pages 511-577, 2024.

  5. Liane Vogel; Jan-Micha Bodensohn; Carsten Binnig

    WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata

    In: A. Globerson; L. Mackey; D. Belgrave; A. Fan; U. Paquet; J. Tomczak; C. Zhang (Hrsg.). Advances in Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS), Pages 41186-41201, Vol. 37, Curran Associates, Inc. 2024.

  6. Patrick Klein; Lukas Malburg; Ralph Bergmann

    Combining informed data-driven anomaly detection with knowledge graphs for root cause analysis in predictive maintenance

    In: Engineering Applications of Artificial Intelligence, Vol. 145, Page 110152, Elsevier, 2025.

  7. Nijat Mehdiyev; Maxim Majlatow; Peter Fettke

    Augmenting post-hoc explanations for predictive process monitoring with uncertainty quantification via conformalized Monte Carlo dropout

    In: Data & Knowledge Engineering (DKE), Vol. 156 (March 2025), Pages 1-29, Elsevier B.V. 12/2024.

  8. Jan Gronewald; Alexander Michael Rombach; Sebastian Stephan; Peter Fettke

    Anomaly Detection in General Ledger Data: Results from a Hybrid Approach

    1st International Conference on Auditing and Artificial Intelligence, 2024.

  9. Vamsi Krishna Origanti; Adrian Danzglock

    Assembly Dataset for Contact Based tasks for Learning from Demonstration

    Zenodo, 2024.

  10. Marina Jentsch; Sönke Knoch; Jonas Mohr; Delia Schröder; Valentin Seimetz; Dana Wolf

    Potenziale digitaler Technologien für die Arbeitsgestaltung in einer resilienten europäischen Schuhindustrie

    In: Tagungsband des 72. Arbeitswissenschaftlichen Kongresses. Fachtagung Gesellschaft für Arbeitswissenschaft e.V. (GfA-2026), Menschengerechte Arbeitsgestaltung, March 11-13, Kassel, Germany, Pages 731-736, GfA-Press, Sankt Augustin, 2026.

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