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Publications

Displaying results 311 to 320 of 668.

  1. Johannes Lahann; Peter Pfeiffer; Peter Fettke

    LSTM-based Anomaly Detection of Process Instances: Benchmark and Tweaks

    In: Proceedings of the 4th International Conference on Process Mining (Workshops). International Conference on Process Mining (ICPM-2022), Process Mining Workshops, October 23-28, Bolzano, Italy, Lecture Notes in Business Information Processing, Springer, 2023.

  2. Saifullah Saifullah; Dominique Mercier; Adriano Lucieri; Andreas Dengel; Sheraz Ahmed

    The privacy-explainability trade-off: unraveling the impacts of differential privacy and federated learning on attribution methods

    In: Frontiers in Artificial Intelligence, Vol. 7, Pages 1-26, Frontiers, 7/2024.

  3. Sankalp Sinha; Khurram Azeem Hashmi; Alain Pagani; Marcus Liwicki; Didier Stricker; Muhammad Zeshan Afzal

    Rethinking Learnable Proposals for Graphical Object Detection in Scanned Document Images

    In: Applied Sciences, Vol. 12, No. 20, Pages 1-22, MDPI, Switzerland, 10/2022.

  4. Alexander Dettmann; Malte Langosz; Jonas Eisenmenger; Marc Otto; Sebastian Kasperski; Malte Wirkus; Nayari Lessa

    Ground Interaction Models for Increased Autonomy of Planetary Exploration Systems

    In: 13th EASN International Conference on Innovation in Aviation & Space for opening New Horizons (13th EASN 2023). EASN International Conference on Innovation in Aviation and Space for opening New Horizons, September 5-8, Salerno, Italy, Journal of Physics: Conference Series (JPCS), Vol. 2716, IOP Publishing Ltd, 3/2024.

  5. Sirko Straube; Nina Hoyer; Niels Will; Frank Kirchner

    The Challenge of Autonomy: What We Can Learn from Research on Robots Designed for Harsh Environments

    In: Uwe Engel (Hrsg.). Robots in Care and Everyday Life. Chapter 4, Pages 57-80, Springer, 10/2022.

  6. Manuela Schuler; Richard Membarth; Philipp Slusallek

    XEngine: Optimal Tensor Rematerialization for Neural Networks in Heterogeneous Environments

    In: David Kaeli (Hrsg.). ACM Transactions on Architecture and Code Optimization (TACO), Vol. 20, No. 1, Pages 17:1-17:25, ACM, 12/2022.

  7. Viktor Eisenstadt; Jessica Bielski; Christoph Langenhan; Klaus-Dieter Althoff; Andreas Dengel

    Autocompletion of Design Data in Semantic Building Models using Link Prediction and Graph Neural Networks

    In: Burak Pak; Gabriel Wurzer; Rudi Stouffs (Hrsg.). Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe. Education and Research in Computer Aided Architectural Design in Europe (eCAADe-2022), CUMINCAD, 2022.

  8. Viktor Eisenstadt; Jessica Bielski; Christoph Langenhan; Burak Mete; Klaus-Dieter Althoff; Andreas Dengel

    Methoden zur KI-basierten Autovervollständigung von frühen Grundrissentwürfen: Methodologie und Integration in ein bestehendes Framework

    In: Martin Slepicka; Lothar Kolbeck; Sebastian Esser; Kasimir Forth; Florian Noichl; Jonas Schlenger (Hrsg.). Proceedings of 33. Forum Bauinformatik. Forum Bauinformatik, September 7-9, Pages 404-411, mediaTUM, München, 9/2022.

  9. Wei Jiang; Hans Dieter Schotten

    Deep Learning-Aided Delay-Tolerant Zero-Forcing Precoding in Cell-Free Massive MIMO

    In: Proceedings of the 2022 IEEE 96th Vehicular Technology Conference. IEEE Vehicular Technology Conference (VTC-2022), IEEE VTC 2022 Fall, September 26-29, London, United Kingdom, IEEE, 9/2022.

  10. Benjamin Paaßen; Irena Koprinska; Kalina Yacef

    Recursive tree grammar autoencoders

    In: Peggy Cellier; Krzysztof Dembczynski; Albrecht Zimmermann; Emilie Devijver (Hrsg.). Machine Learning, Vol. Special Issue of the ECML PKDD 2022 Journal Track, Pages 1-31, Springer, 2022.

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