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Publications

Displaying results 371 to 380 of 654.

  1. Simone Parisi; Simon Ramstedt; Jan Peters

    Goal-driven dimensionality reduction for reinforcement learning

    In: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2017), September 24-28, Vancouver, BC, Canada, Pages 4634-4639, IEEE, 2017.

  2. Hany Abdulsamad; Oleg Arenz; Jan Peters; Gerhard Neumann

    State-Regularized Policy Search for Linearized Dynamical Systems

    In: Laura Barbulescu; Jeremy Frank; Mausam; Stephen F. Smith (Hrsg.). Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling. International Conference on Automated Planning and Scheduling (ICAPS-2017), June 18-23, Pittsburgh, Pennsylvania, USA, Pages 419-424, AAAI Press, 2017.

  3. Michael Meiser; Benjamin Duppe; Ingo Zinnikus

    SynTiSeD - Synthetic Time Series Data Generator

    In: 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES) - Proceedings. Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES), located at Cyber-Physical Systems and Internet-of-Things Week, May 9, San Antonio, TX, USA, Pages 1-6, ISBN 979-8-3503-3682-5, IEEE Xplore, 5/2023.

  4. Dayananda Herurkar; Shoya Ishimaru; Andreas Dengel

    Combining Software-Based Eye Tracking and a Wide-Angle Lens for Sneaking Detection

    In: Proc. UbiComp2018 Adjunct (Hrsg.). The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing. International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-2018), October 8-12, Singapore, Singapore, Pages 54-57, ISBN 978-1-4503-5966-5, ACM, 2018.

  5. Mohsin Munir; Muhammad Shoaib Ahmed Siddiqui; Andreas Dengel; Sheraz Ahmed

    DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series

    In: IEEE Access, Vol. 7, Pages 1991-2005, IEEE, 12/2018.

  6. Patrick Lübbecke; Nijat Mehdiyev; Peter Fettke

    Substitution of hazardous chemical substances using Deep Learning and t-SNE

    In: Proceedings der Internationalen Tagung Wirtschaftsinformatik. Internationale Tagung Wirtschaftsinformatik (WI-2019), Human Practice. Digital Ecologies. Our Future. February 24-27, Siegen, Germany, AIS, 2019.

  7. Patrick Helber; Benjamin Bischke; Andreas Dengel; Damian Borth

    Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification

    In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2019.

  8. Christoph Alt; Marc Hübner; Leonhard Hennig

    Improving Relation Extraction by Pre-trained Language Representations

    In: Proceedings of AKBC 2019. Automated Knowledge Base Construction (AKBC-2019), May 20-22, Amherst, Massachusetts, USA, OpenReview, 2019.

  9. Christoph Zetzsche; Ruth Rosenholtz; Noshaba Cheema; Konrad Gadzicki; Lex Fridman; Kerstin Schill

    Neural Computation of Statistical Image Properties in Peripheral Vision

    In: Vision Science Society (Hrsg.). MODVIS. Computational and Mathematical Models in Vision (MODVIS-2017), located at Vision Sciences Society Annual Meeting, May 17-19, St. Pete Beach, FL, USA, Purdue University, 5/2017.

  10. Lia Ahrens; Julian Ahrens; Hans D. Schotten

    A machine-learning phase classification scheme for anomaly detection in signals with periodic characteristics

    In: EURASIP Journal on Advances in Signal Processing (ASP), Vol. 2019, No. 27, Pages 1-23, Springer International Publishing, 5/2019.

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