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Publications

Displaying results 221 to 230 of 682.

  1. Tim Dahmen; Niklas Rottmayer; Katja Schladitz; Markus Kronenberger; Ziwei He; Miriam Hommel; Petra Gospodnetic; Claudia Redenbach

    Combining Stochastic Geometry and Neural Models of Electron Matter Interaction for the Simulation of Electron Imaging of Porous Materials

    In: Proceedings of the XI International Conference on Coupled Problems in Science and Engineering. International Conference on Coupled Problems in Science and Engineering (Coupled Problems-2025), May 25-28, Villasimius, Sardinia, Italy, IACM, 2025.

  2. Théo Vincent; Tim Lukas Faust; Yogesh Tripathi; Jan Peters; Carlo D'Eramo

    Eau De Q-Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning

    In: Proceedings of the 2nd Reinforcement Learning Conference 2025. Reinforcement Learning Conference (RLC-2025), August 5-9, Edmonton, AB, Canada, Reinforcement Learning Journal (RLJ), 2025.

  3. David Dembinsky; Adriano Lucieri; Stanislav Frolov; Hiba Najjar; Ko Watanabe; Andreas Dengel

    Unifying VXAI: A Systematic Review and Framework for the Evaluation of Explainable AI

    In: Transactions on Machine Learning Research (TMLR), 1/2026.

  4. Nael Jaber; Bilal Wehbe; Leif Christensen; Frank Kirchner

    MV3D: Multi-View 3D Reconstruction of Objects Using Forward-Looking Sonar

    In: Tamim Asfour; Abhinav Valada (Hrsg.). IEEE Robotics and Automation Letters (RA-L), Vol. 10, Pages 8762-8769, IEEE, 2025.

  5. Andrey Guzhov; Tobias Wirth

    Transformer-Based File Fragment Type Classification for File Carving in Digital Forensics

    In: Academic Conferences International (ACI) (Hrsg.). Proceedings of the 24th European Conference on Cyber Warfare and Security. European Conference on Cyber Warfare and Security (ECCWS-2025), 24th European Conference on Cyber Warfare and Security, located at ECCWS-2025, June 26-27, Kaiserslautern, Germany, Pages 169-176, Vol. 24, No. 1, ACI, 2025.

  6. Arnab Das; Carlos Franzreb; Tim Polzehl; Sebastian Möller

    Exploring Foundation Model Fusion Effectiveness and Explainability for Stylistic Analysis of Emotional Podcast Data

    In: Advances in Information and Communication. Future of Information and Communication Conference (FICC-2025), located at FICC-2025, March 4-5, Berlin, Germany, Springer Nature, Switzerland, 2025.

  7. Elnaz Azmi; Khadijeh Alibabaei; Valentin Kozlov; Tjerk Krijger; Gabriele Accarino; Igor Ruiz Atake; Sakina-Dorothée Ayata; Amanda Calatrava; Marco Mariano De Carlo; Wout Decrop; Donatello Elia; Sandro Luigi Fiore; Marco Francescangeli; Jesús Soriano-González; Jean-Olivier Irisson; Martin Laviale; Rune Lagaisse; Antoine Lebeaud; Carolin Leluschko; Germán Moltó; Antonio Augusto Sepp Neves; Enoc Martinez; Damian Smyth; Muhammad Arabi Tayyab; Vanessa Tosello; Alvaro Lopez Garcia; Dick Schaap; Gergely Sipos

    Best practices for AI-based image analysis applications in aquatic sciences: The iMagine case study

    In: Ecological Informatics, Vol. 91, Pages 1-37, Elsevier, Amsterdam, 7/2025.

  8. Andrea Galassi; Kristian Kersting; Marco Lippi; Xiaoting Shao; Paolo Torroni

    Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning

    In: Frontiers in Big Data, Vol. 2 - 2019, Pages 0-10, Frontiers, 1/2020.

  9. Kristian Kersting; Miryung Kim; Guy Van den Broeck; Thomas Zimmermann

    SE4ML - Software Engineering for AI-ML-based Systems (Dagstuhl Seminar 20091)

    In: Dagstuhl Reports, Vol. 10, No. 2, Pages 76-87, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, 2020.

  10. Patrick Schramowski; Wolfgang Stammer; Stefano Teso; Anna Brugger; Xiaoting Shao; Hans-Georg Luigs; Anne-Katrin Mahlein; Kristian Kersting

    Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2001.05371, Pages 0-10, arXiv, 2020.

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