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Publications

Displaying results 1711 to 1720 of 15045.

  1. Arnab Das; Yassine El Kheir; Fabian Ritter Guttierez; Tim Polzehl; Sebastian Möller (Hrsg.)

    Can SSL Frontend Generalize to All-Type Audio Spoofing?

    Odyssey Workshop on Speaker and Language Recognition (Odyssey-2026), The Speaker and Language Recognition Workshop, June 23-26, Lisbon, Portugal, Proc. Odyssey 2026, Proc. Odyssey 2026, 2026.

  2. Léon Dankert; Tobias Dreesbach; Valerie Carl; Aaron Witzki; Oliver Thomas

    Requirements to Overcome the Transparency Uncertainty in Data Usage: A Smart Living focused Approach

    In: PACIS 2026 Proceedings. Pacific Asia Conference on Information Systems (PACIS-2026), Leapfrogging the Future with Artificial Intelligence, July 4-8, Jakartar, Indonesia, Association for Information Systems (AIS), 7/2026.

  3. Denise Kahl; Antonio Krüger

    Using Abstract Tangible Proxy Objects for Interaction in Optical See-through Augmented Reality

    2023.

  4. Jonas Schmidinger; Sebastian Vogel; Viacheslav Barkov; Anh-Duy Pham; Robin Gebbers; Hamed Tavakoli; Jose Correa; Tiago R. Tavares; Patrick Filippi; Edward J. Jones; Vojtech Lukas; Eric Boenecke; Joerg Ruehlmann; Ingmar Schroeter; Eckart Kramer; Stefan Paetzold; Masakazu Kodaira; Alexandre M.J.-C. Wadoux; Luca Bragazza; Konrad Metzger; Jingyi Huang; Domingos S.M. Valente; Jose L. Safanelli; Eduardo L. Bottega; Ricardo S.D. Dalmolin; Csilla Farkas; Alexander Steiger; Taciara Z. Horst; Leonardo Ramirez-Lopez; Thomas Scholten; Felix Stumpf; Pablo Rosso; Marcelo M. Costa; Rodrigo S. Zandonadi; Johanna Wetterlind; Martin Atzmueller

    LimeSoDa: A dataset collection for benchmarking of machine learning regressors in digital soil mapping

    In: Geoderma, Vol. 459, Pages 1-16, Elsevier, 2025.

  5. 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.

  6. 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.

  7. 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.

  8. Martin Atzmueller; David Massanes; Xiao Wei

    Perspectives on Making Sense of Complex Data: Towards Integrative Human-Aware Evaluation

    In: International Work-Conference on the Interplay Between Natural and Artificial Computation. International Conference on the Interplay between Natural and Artificial Computation (IWINAC), Pages 141-151, Springer, 2026.

  9. Dan Hudson; Jurgen van den Hoogen; Martin Atzmueller

    Finding One's Bearings in the Hyperparameter Landscape of a Wide-Kernel Convolutional Fault Detector

    In: IEEE Access (IEEE), Vol. 14, Pages 39094-39119, IEEE, 2026.

  10. Viacheslav Barkov; Jonas Schmidinger; Robin Gebbers; Martin Atzmueller

    Modern Neural Networks for Small Tabular Datasets: The New Default for Field-Scale Digital Soil Mapping?

    In: European Journal of Soil Science (EJSS), Vol. 77, No. 2, Pages 1-14, Wiley, 2026.

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