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Publications

Displaying results 1481 to 1490 of 14835.

  1. Frank Ehebrecht; Toni Scharle; Martin Atzmueller

    Constructing Neural Forms for Hard-Constraint PINNs with Complex Dirichlet Boundaries

    In: Rosa Meo; Fabrizio Silvestri (Hrsg.). Machine Learning and Principles and Practice of Knowledge Discovery in Databases. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-WS), Cham, Pages 501-510, ISBN 978-3-031-74633-8, Springer Nature Switzerland, 2025.

  2. Mandala von Westenholz; Mika Patzelt; Tim Römer; Martin Atzmueller

    Generalizing Local Pattern Mining on Attributed Graphs using Simplicial Complex Abstraction

    In: Hocine Cherifi; Murat Donduran; Luis M. Rocha; Chantal Cherifi; Onur Varol (Hrsg.). Complex Networks & Their Applications XIII - Proceedings of The Thirteenth International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2024 - Volume 1. International Conference on Complex Networks and their Applications (COMPLEX NETWORKS-2024), December 10-12, Istanbul, Turkey, Pages 298-311, Studies in Computational Intelligence (SCI), Vol. 1187, Springer, 2025.

  3. 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.

  4. Martin Atzmueller; Tim Bohne; Anne-Kathrin Patricia Windler

    Knowledge-Augmented Explainable and Interpretable Learning for Anomaly Detection and Diagnosis

    In: Pascal Hitzler; Abhilekha Dalal; Mohammad Saeid Mahdavinejad; Sanaz Saki Norouzi (Hrsg.). Handbook on Neurosymbolic AI and Knowledge Graphs. Pages 1-25, ISBN 9781643685786, IOS Press, 3/2025.

  5. Philipp Schlinge; Steffen Meinert; Martin Atzmueller

    Comprehensive evaluation of prototype neural networks

    In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. online, Pages 1-20, Springer, 2025.

  6. Lars van Rijn; Silke Elisabeth Wrede; Claudia de Witt; Xia Wang; Nghia Duong-Trung; Angelin Mary Jose; Niels Pinkwart

    Scaffolding recommendations for students' essay planning

    In: Frontiers in Education, Vol. 10, Frontiers Media SA, 9/2025.

  7. Georges Arnaud Kouayim Bonga; Ilona Buchem; Niels Pinkwart

    Empowering Academic Exploration with LLM-Powered Robots: Supporting Students in Topic and Research Question Development

    In: Richard Balogh; David Obdrzálek; Nikolaos Fachantidis. International Conference on Robotics in Education (RiE). Pages 126-137, Springer Nature Switzerland, 4/2025.

  8. A. H. Darmasti; R. Zender; A. Sianipar; N. Pinkwart

    Individual Variability in Cognitive Engagement and Performance Adaptation During Virtual Reality Interaction: A Comparative EEG Study of Autistic and Neurotypical Individuals

    In: Multimodal Technologies and Interaction (MTI), Vol. 9, No. 7, MDPI, Basel, Switzerland, 7/2025.

  9. Nadine Kirsch; Kerstin Reese; Verena Wolf

    InfoLab Saar - Schülerlabor Informatik der Universität des Saarlandes

    In: Nicht bekannt (Hrsg.). INFORMATIK 2021 - Computer Science & Sustainability. Workshop: Für Informatik begeistern - vom Kindesalter bis zum Abitur (Informatik-Begeisterung-2), located at INFORMATIK 2021, September 27 - October 1, Berlin, Germany, Pages 1653-1656, Lecture Notes in Informatics (LNI), Vol. P314, ISBN 978-3-88579-708-1, Gesellschaft für Informatik, Bonn, 2021.

  10. Gerrit Großmann; Verena Wolf

    Rejection-Based Simulation of Stochastic Spreading Processes on Complex

    In: Milan Če¨ka; Nicola Paoletti (Hrsg.). Hybrid Systems Biology - 6th International Workshop, Revised Selected Papers. International Workshop on Hybrid Systems Biology (HSB-2019), April 6-7, Prague, Czech Republic, Pages 63-79, Lecture Notes in Bioinformatics (LNBI), Vol. 11705, ISBN 978-3-030-28041-3, Springer Nature, 8/2019.

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