Skip to main content Skip to main navigation

Publications

Displaying results 311 to 320 of 13250.

  1. 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.

  2. Leon Cedric Danter; Joachim Clemens; Andreas Serov; Anne Schattel; Michael Schleiss; Cedric Liman; Mario Gäbel; Andre Mühlenbrock; Gabriel Zachmann

    VAMEX3: AUTONOMOUSLY EXPLORING MARS WITH A HETEROGENEOUS ROBOT SWARM

    In: ASTRA Proceedings. ESA/Estec Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA-2023), 17th Symposium on Advanced Space Technologies in Robotics and Automation, October 18-20, Leiden, Netherlands, European Space Agency (ESA), 2023.

  3. Matthias Rüb; Jan Herbst; Christoph Lipps; Hans Dieter Schotten

    Piezoelectric Beam Path Modulation for Visible Light Communication

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

  4. 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.

  5. Melvin Chelli; Cédric Prigent; René Schubotz; Alexandru Costan; Gabriel Antoniu; Loïc Cudennec; Philipp Slusallek

    FEDGUARD: Selective Parameter Aggregation for Poisoning Attack Mitigation in Federated Learning

    In: Proceedings of the IEEE International Conference on Cluster Computing. IEEE International Conference on Cluster Computing (Cluster-2023), October 31 - November 3, Santa Fe, New Mexico, USA, IEEE, 2023.

  6. Franek Stark; Shubham Vyas; Georg Schildbach; Frank Kirchner

    Linear Model Predictive Control for a planar free-floating platform: A comparison of binary input constraint formulations

    In: 17th Symposium on Advanced Space Technologies in Robotics and Automation. ESA/Estec Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA-2023), October 18-20, Leiden, Netherlands, ESA, 2023.

  7. Cathleen M. Stützer; Milos Kravcik

    Künstliche Intelligenz in der Hochschulbildung. Bildungssoziologische Perspektiven und Herausforderungen

    In: Claudia de Witt; Christina Gloerfeld; Silke Elisabeth Wrede. Künstliche Intelligenz in der Bildung. Pages 219-239, ISBN 978-3-658-40078-1, Springer VS, Wiesbaden, 11/2023.

  8. Avinesh P. V. S.; Carsten Binnig; Benjamin Hättasch; Christian M. Meyer; Orkan Özyurt

    Sherlock: A System for Interactive Summarization of Large Text Collections

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 11, No. 12, Pages 1902-1905, Association for Computing Machinery (ACM), 2018.

  9. Adrian Lutsch; Gagandeep Singh; Martin Mundt; Ragnar Mogk; Carsten Binnig

    Benchmarking the Second Generation of Intel SGX for Machine Learning Workloads

    In: Birgitta König-Ries; Stefanie Scherzinger; Wolfgang Lehner; Gottfried Vossen (Hrsg.). Datenbanksysteme für Business, Technologie und Web (BTW 2023), 20. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme" (DBIS). GI-Fachtagungen (BTW-2023), March 6-10, Dresden, Germany, Pages 711-717, LNI, Vol. P-331, Gesellschaft für Informatik e.V. 2023.

  10. Kristian Kersting; Luc De Raedt

    Basic Principles of Learning Bayesian Logic Programs

    In: Luc De Raedt; Paolo Frasconi; Kristian Kersting; Stephen H. Muggleton (Hrsg.). Probabilistic Inductive Logic Programming - Theory and Applications. Pages 189-221, Lecture Notes in Computer Science, Vol. 4911, Springer, 2008.

Year

More options