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Publikationen

Zeige Ergebnisse 1311 bis 1320 von 15119.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. Adnan Anwer; Jameel Malik; Khawar Khurshid; Ahmed Elhayek; Ramy Battrawy; Didier Stricker; Syed Sarib Naveed; Muhammad Usman Safder

    Scene flow based deep network for hand reconstruction using depth images

    In: Scientific Reports (Sci Rep), Vol. 15(1), No. Article Number: 32726, Pages 1-24, Springer Nature, Nature Publishing Group, 9/2025.

  6. Daniel Palenicek; Florian Vogt; Joe Watson; Ingmar Posner; Jan Peters

    XQC: Well-conditioned Optimization Accelerates Deep Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2509.25174, Pages 1-24, arXiv, 2025.

  7. Michael Drolet; Firas Al-Hafez; Aditya Bhatt; Jan Peters; Oleg Arenz

    Discrete Variational Autoencoding via Policy Search

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2509.24716, Pages 1-28, arXiv, 2025.

  8. Min Zhang; Pengyi Li; Yifu Yuan; Lingfeng Zhang; Yuecheng Liu; Peilong Han; Longxin Kou; Shaojin Ma; Jinbin Qiao; David Gamaliel Arcos Bravo; Yuening Wang; Xiao Hu; Zhanguang Zhang; Xianze Yao; Yutong Li; Han Zhao Zhang; Ying Wen; Ying-Cong Chen; Xiaodan Liang; Liang Lin; Robin Scheid; Haitham Bou-Ammar; He Wang; Huazhe Xu; Jiankang Deng; Shan Luo; Shuqiang Jiang; Wei Pan; Yang Gao; Stefanos Zafeiriou; Jan Peters; Yuzheng Zhuang; Yingxue Zhang; Yan Zheng; Hongyao Tang; Jianye Hao

    Embodied Arena: A Comprehensive, Unified, and Evolving Evaluation Platform for Embodied AI

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2509.15273, Pages 1-32, arXiv, 2025.

  9. Maria Ibrahim; Alap Kshirsagar; Dorothea Koert; Jan Peters

    Investigating the Effect of LED Signals and Emotional Displays in Human-Robot Shared Workspaces

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2509.14748, Pages 1-8, arXiv, 2025.

  10. Aryaman Reddi; Gabriele Tiboni; Jan Peters; Carlo D'Eramo

    emphK-Level Policy Gradients for Multi-Agent Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2509.12117, Pages 1-22, arXiv, 2025.

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