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Publikationen

Zeige Ergebnisse 2041 bis 2050 von 13895.

  1. Stefan Bloemheuvel; Jurgen van den Hoogen; Dario Jozinovic; Alberto Michelini; Martin Atzmueller

    Graph neural networks for multivariate time series regression with application to seismic data

    In: International Journal of Data Science and Analytics, Pages 1-16, Springer, 8/2022.

  2. Timo Markert; Sebastian Matich; Daniel Neykov; Markus Muenig; Andreas Theissler; Martin Atzmueller

    Visual Detection of Tiny and Transparent Objects for Autonomous Robotic Pick-and-Place Operations

    In: Proc. IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2022). IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2022.

  3. Timo Markert; Sebastian Matich; Elias Hoerner; Jonas Pfannes; Andreas Theissler; Martin Atzmueller

    Comparing Human Haptic Perception and Robotic Force/Torque Sensing in a Simulated Surgical Palpation Task

    In: Proc. of the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 10/2022.

  4. Mouloud Iferroudjene; Corentin Lonjarret; Céline Robardet; Marc Plantevit; Martin Atzmueller

    Methods for Explaining Top-N Recommendations Through Subgroup Discovery

    In: Data Mining and Knowledge Discovery, Pages 1-40, Springer, 11/2022.

  5. Parisa Shayan; Martin Atzmueller; Menno van Zaanen

    Assessing the Influence of Time on Features for the Prediction of User Dropout

    In: Proc. IEEE International Conference on Tools with Artificial Intelligence. International Conference on Tools with Artificial Intelligence (AAAI SSS), IEEE, 2022.

  6. Parisa Shayan; Menno van Zaanen; Martin Atzmueller

    Predicting User Dropouts from their Online Learning Behavior

    In: Proc. International Conference on Discovery Science. International Conference on Discovery Science, <undefined>, Springer, 2022.</undefined>

  7. Josip Josifovski; Mohammadhossein Malmir; Noah Klarmann; Bare Luka Zagar; Nicolás Navarro-Guerrero; Alois Knoll

    Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 23-27, Kyoto, Japan, Pages 10193-10200, ISBN 978-1-66547-927-1, IEEE, 10/2022.

  8. Martin Atzmueller; Rushed Kanawati

    Explainability in Cyber-Security using Complex Network Analysis: A Brief Methodological Overview

    In: Proceedings of 2022 European Interdisciplinary Cybersecurity Conference EICC 2022. European Interdisciplinary Cybersecurity Conference (EICC-2022), June 15-16, Barcelona, Spain, Pages 49-52, ISBN 978-1-4503-9603-5, ACM, New York, 7/2022.

  9. Dan Hudson; Travis J. Wiltshire; Martin Atzmueller

    Visualization Methods for Exploratory Subgroup Discovery on Time Series Data

    In: Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence. Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI-2022), located at 9th International Work-Conference on the Interplay between Natural and Artificial Computation (IWINAC2022), June 1, Puerto de la Cruz, Tenerife, Spain, Pages 34-44, Lecture Notes in Computer Science (LNCS), Vol. 13259, Springer, Cham, 5/2022.

  10. Hamish Flynn; David Reeb; Melih Kandemir; Jan Peters

    PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2211.16110, Pages 0-10, arXiv, 2022.

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