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Publications

Displaying results 81 to 90 of 795.
  1. Ahmed Abdulla Ashlam; Atta Badii; Frederic Theodor Stahl

    WebAppShield: An Approach Exploiting Machine Learning to Detect SQLi Attacks in an Application Layer in Run-Time

    In: World Academy of Science, Engineering and Technology - International Journal of Computer and Information Engineering, Vol. 16, No. 8, Pages 1-9, …

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

    Rapid prediction of ground shaking intensity with Graph Neural Networks

    In: Proceedings of the Third European Conference on Earthquake Engineering and Seismology -- 3ECEES. European Conference on Earthquake Engineering and …

  3. Max Bramer; Frederic Theodor Stahl (Hrsg.)

    Artificial Intelligence XXXIX - 42nd SGAI International Conference on Artificial Intelligence, AI 2022 - Proceedings

    SGAI International Conference on Artificial Intelligence (AI-2022), December 13-15, Cambridge, United Kingdom, Lecture Notes in Artificial …

  4. Ammar Memari; Van Coung Dam; Lars Nolle

    Deep Learning for Detecting Tilt Angle and Orientation of Photovoltaic Panels on Satellite Imagery

    In: Artificial Intelligence XXXIX - 42nd SGAI International Conference on Artificial Intelligence, AI 2022 - Proceedings. SGAI International …

  5. Manal Almutairi; Frederic Theodor Stahl; Max Bramer

    CRC: Consolidated Rules Construction for Expressive Ensemble Classification

    In: Artificial Intelligence XXXIX - 42nd SGAI International Conference on Artificial Intelligence, AI 2022 - Proceedings. SGAI International …

  6. Maschinelle Lernverfahren zur Verarbeitung von Satellitendaten als Grundlage eines digitalen Zwillings der Nordsee

    In: Umweltinformationssysteme - Vielfalt, Offenheit, Komplexität - Tagungsband des 29. Workshop "Umweltinformationssysteme" (UIS 2022)" des …

  7. Mobin M. Idrees; Frederic Theodor Stahl; Atta Badii

    Adaptive Learning With Extreme Verification Latency in Non-Stationary Environments

    In: IEEE Access (IEEE), Vol. 10, Pages 127345-127364, IEEE Xplore, Piscataway Township, New Jersey, 11/2022.

  8. Benjamin Paaßen; Julian Dehne; Swathi Krishnaraja; Anastasia Kovalkov; Kobi Gal; Niels Pinkwart

    A conceptual graph-based model of creativity in learning

    Humboldt-Universität zu Berlin, Frontiers in Education, Vol. 7, 11/2022.

  9. Clarissa Lachmann; Mina Ghomi; Niels Pinkwart

    Ein Beispielansatz zur Vermittlung von digitaler Kompetenz im MINT-Lehramtsstudium

    In: Jürgen Roth; Michael Baum; Katja Eilerts; Gabriele Hornung; Thomas Trefzger. Die Zukunft des MINT-Lernens–Band 1: Perspektiven auf (digitalen) …

  10. Benjamin Paaßen; Alexander Schulz; Terrence C. Stewart; Barbara Hammer

    Reservoir Memory Machines as Neural Computers

    In: Gouhei Tanaka; Claudio Gallicchio; Alessio Micheli; Juan-Pablo Ortega; Akira Hirose (Hrsg.). IEEE Transactions on Neural Networks and Learning …