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Publications

Displaying results 211 to 220 of 668.

  1. Nijat Mehdiyev; Lea Götz; Johannes Lahann; Peter Fettke

    Deep learning-based clustering of processes and their visual exploration: An industry 4.0 use case for small, medium‐sized enterprises

    In: Expert Systems (EXSY), Vol. 39, Pages 1-24, Wiley, 2022.

  2. Elsa Andrea Kirchner; Ute Schmid; Max Hösl; Birgit Obermeier

    Hybride KI - Wissen und Daten kombiniert nutzen

    In: Lernende Systeme - Die Plattform für Künstliche Intelligenz, Pages 1-10, Plattform Lernende Systeme, 2023.

  3. Ihab Alzalam; Rekha Reddy; Sogo Pierre Sanon; Christoph Lipps; Hans Dieter Schotten

    Demonstration of Real-Time Traffic Forecast on a Live 5G Testbed

    In: 2023 IEEE Future Networks World Forum. IEEE Future Networks World Forum (FNWF-2023), November 13-15, Baltimore, USA, IEEE, 2023.

  4. Yaxu Xie; Alain Pagani; Didier Stricker

    Polar-Ano: Surface Anomaly Detection via Deep Polarization Imaging and Data Synthesis with Physic-based Rendering

    In: 2023 17th International Conference on Signal-Image Technology & Internet-Based Systems. International Conference on Signal-Image Technology & Internet-Based Systems (SITIS-2023), November 8-10, Bangkok, Thailand, IEEE, 2023.

  5. Michael Lutter; Jan Peters

    Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models

    In: International Journal of Robotics Research (IJRR), Vol. abs/2110.01894, Pages 83-107, Sage Publications, 2023.

  6. Hiba Najjar; Patrick Helber; Benjamin Bischke; Peter Habelitz; Cristhian Sanchez; Francisco Mena; Miro Miranda Lorenz; Deepak Kumar Pathak; Jayanth Siddamsetty; Diego Arenas; Michaela Vollmer; Marcela Charfuelan Oliva; Marlon Nuske; Andreas Dengel

    Feature Attributation Methods for Multivariate Time-Series Explainability in Remote Sensing

    In: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2023), July 16-21, Pasadena, California, USA, Pages 5014-5017, IEEE Xplore, 10/2023.

  7. Jan Herbst; Jan Petershans; Matthias Rüb; Christoph Lipps; Ann-Kathrin Beck; Joana C. Carmo; Thomas Lachmann; Hans Dieter Schotten

    Inception based Deep Learning: Biometric Identification using Electroencephalography (EEG)

    In: Proceedings of the 2023 International Symposium on Networks, Computers and Communications (ISNCC). International Symposium on Networks, Computers and Communications (ISNCC-2023), International Symposium on Networks, Computers and Communications, October 23-26, Doha, Qatar, IEEE Explore, 2023.

  8. Noshaba Cheema; Rui Xu; Nam Hee Kim; Perttu Hämäläinen; Vladislav Goliyanik; Marc Habermann; Christian Theobalt; Philipp Slusallek

    Discovering Fatigued Movements for Virtual Character Animation

    In: Conference Papers. ACM SiggraphAsia (SigAsia-2023), December 12-15, Sydney, Australia, ISBN 979-8-4007-0315-7/23/12, ACM, 2023.

  9. Prasetya Utama; Nathaniel Weir; Fuat Basik; Carsten Binnig; Ugur Çetintemel; Benjamin Hättasch; Amir Ilkhechi; Shekar Ramaswamy; Arif Usta

    An End-to-end Neural Natural Language Interface for Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1804.00401, Pages 0-10, arXiv, 2018.

  10. Nathaniel Weir; Andrew Crotty; Alex Galakatos; Amir Ilkhechi; Shekar Ramaswamy; Rohin Bhushan; Ugur Çetintemel; Prasetya Utama; Nadja Geisler; Benjamin Hättasch; Steffen Eger; Carsten Binnig

    DBPal: Weak Supervision for Learning a Natural Language Interface to Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1909.06182, Pages 0-10, arXiv, 2019.

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