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Publikationen

Zeige Ergebnisse 1001 bis 1010 von 13846.
  1. Jonas Wahl; Jakob Runge

    Separation-Based Distance Measures for Causal Graphs

    In: Proceedings of The 28th International Conference on Artificial Intelligence and Statistics. International Conference on Artificial Intelligence and Statistics (AISTATS-2025), May 3-5, Mai Khao, Thailand, Pages 3412-3420, PMLR, Vol. 258, Proceedings of Machine Learning Research, 2025.

  2. Yannick Szypulski; Thomas Wiemann; Marcel Storch

    . Automatische Bestimmung von Baumdurchmessern mit einem mobilen Mapping System

    In: Photogrammetrie, Laserscanning, Optische 3D-Messtechnik. Beiträge der Oldenburger 3D-Tage 2025. Oldenburger 3D-Tage (DOL-2025), Wichmann, 2025.

  3. Jan Kuhlmann; Thomas Wiemann

    CHAD TSDF - Eine Assoziative und Diskretisierte Datenstruktur für TSDF SLAM

    In: Photogrammetrie, Laserscanning, Optische 3D-Messtechnik. Beiträge der Oldenburger 3D-Tage 2025. Oldenburger 3D-Tage (DOL-2025), Wichmann, 2025.

  4. Constantin Houy; Oliver Gutermuth; Sharam Dadashnia; Peter Loos

    Digitale Polizeiarbeit

    In: Tanja Klenk; Frank Nullmeier; Göttrik Wewer. Handbuch Digitalisierung in Staat und Verwaltung. Pages 649-660, ISBN 978-3-658-37372-6, Springer VS, Wiesbaden, 2/2025.

  5. Multimodal approach for imbalanced document classification

    In: Wolfgang Osten (Hrsg.). Seventeenth International Conference on Machine Vision (ICMV 2024). International Conference on Machine Vision (ICMV-2024), October 10-13, Edinburg, United Kingdom, Pages 347-358, SPIE Conference Proceedings, Vol. 13517, SPIE, 2024.

  6. Jonas Bley; Eva Rexigel; Alda Arias; Nikolas Longen; Lars Krupp; Maximilian Kiefer-Emmanouilidis; Paul Lukowicz; Anna Donhauser; Stefan Küchemann; Jochen Kuhn; Artur Widera

    Visualizing entanglement in multiqubit systems

    In: Physical Review Research, Vol. 6, No. 2, Pages 0-0, APS, 2024.

  7. 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.

  8. Jonas Seng; Florian Peter Busch; Kristian Kersting

    Causality in Flux: Continual Adaptation of Causal Knowledge via Evidence Matching

    In: Martin Mundt; Keiland W. Cooper; Devendra Singh Dhami; Tyler L. Hayes; Rebecca Herman; Adéle Ribeiro; James Seale Smith (Hrsg.). Proceedings of The Second AAAI Bridge Program on Continual Causality. AAAI Bridge Program on Continual Causality, February 20-21, Vancouver, Canada, Pages 11-20, Proceedings of Machine Learning Research (PMLR), Vol. 268, PMLR, 2024.

  9. Wolfgang Stammer; Felix Friedrich; David Steinmann; Manuel Brack; Hikaru Shindo; Kristian Kersting

    Learning by Self-Explaining

    In: Transactions on Machine Learning Research (TMLR), Vol. 2024, Pages 1-35, arXiv, 2024.

  10. Daniel Ochs; Karsten Wiertz; Sebastian Bußmann; Kristian Kersting; Devendra Singh Dhami

    Effective Risk Detection for Natural Gas Pipelines Using Low-Resolution Satellite Images

    In: Remote Sensing, Vol. 16, No. 2, Pages 1-13, MDPI, 2024.