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Publikationen

Zeige Ergebnisse 21 bis 30 von 14529.
  1. SAILS: Segment Anything with Incrementally Learned Semantics for Task-Invariant and Training-Free Continual Learning

    In: IEEE Conference on Artificial Intelligence. IEEE Conference on Artificial Intelligence (CAI-2026), May 8-10, Granada, Spain, IEEE, 2026.

  2. Choosing Theories Matters: How Different Learning Theories Impact Simulation Results Using Equine Stereotypies as Example

    In: Social Simulation Conference 2025. Social Simulation Conference (SSC-2025), August 24-29, Delft, Netherlands, Springer, 2026.

  3. Nhat Chung; Taisei Hanyu; Toan Nguyen; Huy Le; Frederick Bumgarner; Ho Minh Duy Nguyen; Khoa Vo; Kashu Yamazaki; Chase Rainwater; Tung Kieu; Anh Nguyen; Ngan Le

    Rethinking progression of memory state in robotic manipulation: An object-centric perspective

    In: Proceedings of AAAI 2026. AAAI Conference on Artificial Intelligence (AAAI-2026), AAAI, 2026.

  4. Ho Minh Duy Nguyen; Trung Nguyen; Ha Thi Hong Le; Mai Thanh Nhat Truong; TrungTin Nguyen; Nhat Ho; Khoa D Doan; Duy Duong-Tran; Li Shen; Daniel Sonntag; James Zou; Mathias Niepert; Hyojin Kim; Jonathan E Allen

    FACET: A Fragment-Aware Conformer Ensemble Transformer

    In: Proceedings of ICLR 2026. International Conference on Learning Representations (ICLR-2026), ICLR, 2026.

  5. Juan Trujillo; Ana Lavalle; Alejandro Reina-Reina; Jorge García-Carrasco; Alejandro Maté; Wolfgang Maaß

    An integrated requirements framework for analytical and AI projects

    In: Data & Knowledge Engineering (DKE), Vol. 161, Page 102493, Elsevier, 2026.

  6. Chandan Jha; Sallar Ahmadi-Pour; Sajjad Parvin; Rolf Drechsler

    DIVIAC: Library of Input Data Aware Approximate Dividers with Partial Exact Minimization

    In: 39th International Conference On VLSI Design. International Conference on VLSI Design (VLSID-2026), January 3-7, Pune, India, 2026.

  7. Jonas Schmidinger; Viacheslav Barkov; Sebastian Vogel; Martin Atzmueller; Gerard B.M. Heuvelink

    Kriging prior regression: A case for kriging-based spatial features with TabPFN in soil mapping

    In: Computers and Electronics in Agriculture, Vol. 243, Pages 1-17, Elsevier, 2026.

  8. Auf dem Weg zu einer KI-gestützten Gewässer- und Wasseransammlungsdetektion zur adaptiven Steuerung von Pflanzenschutz- und Düngerapplikation auf Landmaschinen

    In: Informatik in der Land-, Forst- und Ernährungswirtschaft -- Referate der 46. GIL-Jahrestagung. Jahrestagung der Gesellschaft für Informatik in der Land-, Forst- und Ernährungswirtschaft (GIL-2026), Gesellschaft für Informatik e.V. 2026.