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Publications

Displaying results 1121 to 1130 of 14469.

  1. Nils Feldhus; Qianli Wang; Tatiana Anikina; Sahil Chopra; Cennet Oguz; Sebastian Möller

    InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations

    In: Houda Bouamor; Juan Pino; Kalika Bali (Hrsg.). Findings of the Association for Computational Linguistics: EMNLP 2023. Conference on Empirical Methods in Natural Language Processing (EMNLP-2023), December 6-10, Singapore, Singapore, Association for Computational Linguistics, 12/2023.

  2. Mehmed Yüksel

    An expert knowledge representation based on real world experiences in proof-of-concept robot system design

    PhD-Thesis, Universität Bremen - Fachbereich 03: Mathematik/Informatik (FB 03), Staats- und Universitätsbibliothek Bremen, Bremen, Germany, 6/2023.

  3. Jason Raphael Rambach; Bruno Mirbach; Yuriy Anisimov; Didier Stricker

    Time-of-Flight Depth Sensing for Automotive Safety and Smart Building Applications: The VIZTA Project

    In: IEEE Access (IEEE), Vol. 11, Pages 105819-105829, IEEE, 10/2023.

  4. Jan Peters; Stefan Schaal

    Policy Learning for Motor Skills

    In: Masumi Ishikawa; Kenji Doya; Hiroyuki Miyamoto; Takeshi Yamakawa (Hrsg.). Neural Information Processing, 14th International Conference. International Conference on Neural Information Processing (ICONIP-2007), November 13-16, Kitakyushu, Japan, Pages 233-242, Lecture Notes in Computer Science, Vol. 4985, Springer, 2007.

  5. Daan Wierstra; Alexander Förster; Jan Peters; Jürgen Schmidhuber

    Solving Deep Memory POMDPs with Recurrent Policy Gradients

    In: Joaquim Marques de Sá; Luís A. Alexandre; Wlodzislaw Duch; Danilo P. Mandic (Hrsg.). Artificial Neural Networks - ICANN 2007, 17th International Conference, Proceedings. International Conference on Artificial Neural Networks (ICANN-2007), September 9-13, Porto, Portugal, Pages 697-706, Lecture Notes in Computer Science, Vol. 4668, Springer, 2007.

  6. Peter Fettke; Chiara Di Francescomarino

    Business Process Management and Artificial Intelligence: Literature Survey and Future Research

    In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. 39, Pages 67-79, Springer Nature, 6/2025.

  7. 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.

  8. 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.

  9. 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.

  10. Jürgen Mangler; Ronny Seiger; Janik-Vasily Benzin; Joscha Grüger; Yusuf Kirikkayis; Florian Gallik; Lukas Malburg; Matthias Ehrendorfer; Yannis Bertrand; Marco Franceschetti; Barbara Weber; Stefanie Rinderle-Ma; Ralph Bergmann; Estefanía Serral Asensio; Manfred Reichert

    From Internet of Things Data to Business Processes: Challenges and a Framework

    In: Giancarlo Fortino; Massimo Mecella. Internet of Things Meets Business Process Management: A Synergistic Integration. Pages 25-61, ISBN 978-3-031-90746-3, Springer, 2026.

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