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Publikationen

Zeige Ergebnisse 251 bis 260 von 14478.

  1. Tim Woydt; Moritz Willig; Antonia Wüst; Lukas Helff; Wolfgang Stammer; Constantin A. Rothkopf; Kristian Kersting

    Fodor and Pylyshyn's Legacy - Still No Human-like Systematic Compositionality in Neural Networks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2506.01820, Pages 1-18, Computing Research Repository, 2025.

  2. David Steinmann; Wolfgang Stammer; Antonia Wüst; Kristian Kersting

    Object Centric Concept Bottlenecks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.24492, Pages 1-26, Computing Research Repository, 2025.

  3. Mehdi Vali; Manuel Brack; Max Lübbering; Elias Wendt; Abbas Goher Khan; Richard Rutmann; Alex Jude; Maurice Kraus; Alexander Arno Weber; David Kaczér; Florian Mai; Lucie Flek; Rafet Sifa; Nicolas Flores-Herr; Joachim Köhler; Patrick Schramowski; Michael Fromm; Kristian Kersting

    Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.22232, Pages 1-38, Computing Research Repository, 2025.

  4. Quentin Delfosse; Jannis Blüml; Fabian Tatai; Théo Vincent; Bjarne Gregori; Elisabeth Dillies; Jan Peters; Constantin A. Rothkopf; Kristian Kersting

    Deep Reinforcement Learning Agents are not even close to Human Intelligence

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.21731, Pages 1-49, Computing Research Repository, 2025.

  5. Nijat Mehdiyev; Maxim Majlatow; Peter Fettke

    Interpretable and explainable machine learning methods for predictive process monitoring: A systematic literature review

    In: Artificial Intelligence Review, Vol. 58, No. 378, Pages 00-00, Springer, 10/2025.

  6. Nijat Mehdiyev; Maxim Majlatow; Peter Fettke

    Integrating permutation feature importance with conformal prediction for robust Explainable Artificial Intelligence in predictive process monitorning

    In: Engineering Applications of Artificial Intelligence, Vol. 149, Pages 0-0, Science Direct, 6/2025.

  7. Peter Pfeiffer; Alexander Michael Rombach; Maxim Majlatow; Nijat Mehdiyev

    From Theory to Practice: Real-World Use Cases on Trustworthy LLM-Driven Process Modeling, Prediction and Automation

    In: SIGMOD 2025 - Next Gen Data and Process Management. ACM SIGMOD International Conference on Management of Data (SIGMOD-2025), June 22-27, Berlin, Germany, ACM, 2025.

  8. Wakiya Schulz; Clemens Fritzsch; Tobias Rosenkranz; Pascal Ahr; Antonio Saavedra; Lars Renkes; Christoph Lipps; Jörn Hoffmann

    Analysis of SRAM-based PUFs on AMD Xilinx UltraScale+ FPGAs

    In: Proceedings of the 2025 IEEE Conference on Communications and Network Security (CNS) - Poster. IEEE Conference on Communications and Network Security (IEEE CNS-2025), September 8-11, Avignon, France, IEEE, 8/2025.

  9. Amos Smith; Nael Jaber; Leif Christensen; Martin Atzmueller

    BLENDgänger: Generating Synthetic MBES Data for Underwater UXO Perception Tasks

    In: Jessica Daignault; Katie Skinner; Ed Verhamme (Hrsg.). OCEANS-2025 Great Lakes. OCEANS MTS/IEEE Conference (OCEANS-2025), September 29 - October 2, Chicago, Illinois, USA, Pages 1-9, IEEE, 2025.

  10. Nael Jaber; Qais Al-Ramahi; Leif Christensen; Bilal Wehbe

    SonarCloud: A Simulated Forward Looking Sonar Dataset for Underwater Perception Tasks

    In: Jessica Daignault; Katie Skinner; Ed Verhamme (Hrsg.). SonarCloud: A Simulated Forward Looking Sonar Dataset for Underwater Perception Tasks. OCEANS MTS/IEEE Conference (OCEANS-2025), September 29 - October 2, Chicago, Illinois, Illinois, USA, IEEE, 2025.

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