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Publikationen

Zeige Ergebnisse 141 bis 150 von 15217.

  1. Xiao Wei; Alina Griesel; Martin Atzmueller

    Improving transparency in machine learning for agriculture: a case study on mushroom classification using CNN and Grad-CAM

    In: J. Dörr et al. (Hrsg.). 46. GIL-Jahrestagung, Datenräume in Der Land-, Forst- Und Ernährungswirtschaft: Chancen Für Die Zukunft Und Aktuelle Herausforderungen. Jahrestagung der Gesellschaft für Informatik in der Land-, Forst- und Ernährungswirtschaft (GIL), Bonn, Pages 176-187, Gesellschaft für Informatik e.V. 2026.

  2. David Massanés; Martin Atzmueller

    Time Series Feature Extraction and Crop Type Classification on Spatiotemporal Soil Sensor Network Data

    In: J. Dörr et al.. 46. GIL-jahrestagung, Datenräume in Der Land-, Forst- Und Ernährungswirtschaft: Chancen Für Die Zukunft Und Aktuelle Herausforderungen. Pages 104-115, Gesellschaft für Informatik e.V. Bonn, 2026.

  3. Shuyuan Yang; Grant Boone; Timo Markert; Sebastian Matich; Andreas Theissler; Martin Atzmueller; Zonghe Chua

    Shaft-integrated Force Sensing with Transformer-based Dynamics Compensation for Telesurgery

    In: IEEE Transactions on Medical Robotics and Bionics, Pages 1-1, IEEE, 2026.

  4. Daniel Palenicek; Florian Vogt; Joe Watson; Ingmar Posner; Jan Peters

    XQC: Well-conditioned Optimization Accelerates Deep Reinforcement Learning

    In: Carl Vondrick; Bharath Hariharan; Colin Raffel; Lerrel Pinto; Diyi Yang; Aleksandra Faust (Hrsg.). The Fourteenth International Conference on Learning Representations, ICLR 2026, Rio de Janeiro, Brazil, April 23-27, 2026. International Conference on Learning Representations (ICLR), Pages 1-30, proceedings.iclr.cc, 2026.

  5. Ahmed Hendawy; Henrik Metternich; Théo Vincent; Mahdi Kallel; Jan Peters; Carlo D'Eramo

    Use the Online Network If You Can: Towards Fast and Stable Reinforcement Learning

    In: Carl Vondrick; Bharath Hariharan; Colin Raffel; Lerrel Pinto; Diyi Yang; Aleksandra Faust (Hrsg.). The Fourteenth International Conference on Learning Representations, ICLR 2026, Rio de Janeiro, Brazil, April 23-27, 2026. International Conference on Learning Representations (ICLR), Pages 1-47, proceedings.iclr.cc, 2026.

  6. Michael Drolet; Firas Al-Hafez; Aditya Bhatt; Jan Peters; Oleg Arenz

    Discrete Variational Autoencoding via Policy Search

    In: Carl Vondrick; Bharath Hariharan; Colin Raffel; Lerrel Pinto; Diyi Yang; Aleksandra Faust (Hrsg.). The Fourteenth International Conference on Learning Representations, ICLR 2026, Rio de Janeiro, Brazil, April 23-27, 2026. International Conference on Learning Representations (ICLR), Pages 1-34, proceedings.iclr.cc, 2026.

  7. Fabian Wenz; Zixuan Chen; Carsten Binnig

    From Data Querying to Data Investigations: Rethinking Natural Language Interfaces for Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2609.03898, Pages 1-6, arXiv, 2026.

  8. Matthias Rüb; Michael Gundall; Oruc Kahriman; Niels Wessel; Hans Dieter Schotten

    AucRocket: High-precision Classification of Heterogeneous Time Series for Sustainable 6G Networks

    In: Sustainability and Deployability of AI Solutions toward AI-Native 6G Networks. IEEE Global Communications Conference Workshops (Globeccom Wkshps-2026), IEEE, 2026.

  9. Anna Schatz; Matthias Rüb; Henriette Hegermann; Meike Hiddemann; Dario Wieschebrock; Dominik Stegemann; Jan Herbst; Christoph Lipps; Clemens Möllenhoff; Thomas Petzold; Ralf Irmer; Friedrich Köhler; Max Rockstroh; Tobias Pabst; Thomas Neumuth; Hans Dieter Schotten; Sascha Treskatsch

    Anticipating the hospital of the future: stakeholder perspectives on 6G technology requirements in health care

    In: International Journal of Computer Assisted Radiology and Surgery (IJCARS), Vol. 2026, Pages 1-10, Springer, 9/2026.

  10. Jan Gronewald; Michel Scherer; Nijat Mehdiyev

    Machine learning for journal entry testing: A type-aware evaluation of anomaly detectors under a review budget

    arxiv, 2026.

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