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Publications

Displaying results 951 to 960 of 13882.
  1. 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.

  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. 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. 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.

  6. 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.

  7. 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.

  8. David W. Aha; Mark S. Boddy; Vadim Bulitko; Artur S. d'Avila Garcez; Prashant Doshi; Stefan Edelkamp; Christopher W. Geib; Piotr J. Gmytrasiewicz; Robert P. Goldman; Pascal Hitzler; Charles L. Isbell Jr.; Darsana P. Josyula; Leslie Pack Kaelbling; Kristian Kersting; Maithilee Kunda; Luís C. Lamb; Bhaskara Marthi; Keith McGreggor; Vivi Nastase; Gregory M. Provan; Anita Raja; Ashwin Ram; Mark O. Riedl; Stuart Russell; Ashish Sabharwal; Jan-Georg Smaus; Gita Sukthankar; Karl Tuyls; Ron van der Meyden; Alon Y. Halevy; Lilyana Mihalkova; Sriraam Natarajan

    Reports of the AAAI 2010 Conference Workshops

    In: AI Magazine, Vol. 31, No. 4, Pages 95-108, American Association for Artificial Intelligence, 2010.

  9. Carsten Binnig; Stefan Hildenbrand; Franz Färber; Donald Kossmann; Juchang Lee; Norman May

    Distributed snapshot isolation: global transactions pay globally, local transactions pay locally

    In: The VLDB Journal, Vol. 23, No. 6, Pages 987-1011, Springer, 2014.

  10. Abdallah Salama; Carsten Binnig; Tim Kraska; Erfan Zamanian

    Cost-based Fault-tolerance for Parallel Data Processing

    In: Timos K. Sellis; Susan B. Davidson; Zachary G. Ives (Hrsg.). Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2015), May 31 - June 4, Melbourne, Victoria, Australia, Pages 285-297, ACM, 2015.