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Publications

Displaying results 21 to 30 of 465.

  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. 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.

  3. 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 & …

  4. 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.

  5. Jan-Tilman Seipp; Felix Köhler; David Harbecke; Leonhard Hennig; Phuc Tran Truong

    Text2Tech – Deep Learning-based Text Mining for Technology Monitoring in Automotive Production

    In: 13th Global TechMining Conference 2023 - Conference Proceedings. Global TechMining Conference, November 10, Global TechMining Conference, 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 …

  7. 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.

  8. 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.

  9. Benjamin Hilprecht; Carsten Binnig; Uwe Röhm

    Learning a Partitioning Advisor with Deep Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1904.01279, Pages 0-10, arXiv, 2019.

  10. Benjamin Hilprecht; Carsten Binnig; Uwe Röhm

    Towards learning a partitioning advisor with deep reinforcement learning

    In: Rajesh Bordawekar; Oded Shmueli (Hrsg.). Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for …

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