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Publikationen

Zeige Ergebnisse 101 bis 110 von 795
  1. Julian Wörmann; Daniel Bogdoll; Etienne Bührle; Han Chen; Evaristus Fuh Chuo; Kostadin Cvejoski; Ludger van Elst; Philip Gottschall; Stefan Griesche; Christian Hellert; Christian Hesels; Sebastian Houben; Tim Joseph; Niklas Keil; Johann Kelsch; Hendrik Königshof; Erwin Kraft; Leonie Kreuser; Kevin Krone; Tobias Latka; Denny Mattern; Stefan Matthes; Mohsin Munir; Moritz Nekolla; Adrian Paschke; Maximilian Alexander Pintz; Tianming Qiu; Faraz Qureishi; Syed Tahseen Raza Rizvi; Jörg Reichardt; Laura von Rueden; Stefan Rudolph; Alexander Sagel; Tobias Scholl; Gerhard Schunk; Hao Shen; Hendrik Stapelbroek; Vera Stehr; Gurucharan Srinivas; Anh Tuan Tran; Abhishek Vivekanandan; Ya Wang; Florian Wasserrab; Tino Werner; Christian Wirth; Stefan Zwicklbauer

    Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey

    arXiv, 2022.

  2. Sönke Knoch; Marco Hüster; Matthias Jost; Jonas Mohr; Dieter Merkel; Andreas Luxenburger; Tim Schwartz; Jeong-Jung Kim; Doo-Yeol Koh; Jinseong Park

    WALL-ET: Assistance in Supermarkets and Warehouses through Social Cognitive Robots

    In: 2022 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR). IEEE International Conference on Artificial Intelligence …

  3. Ahmed Abadulla Ashlam; Atta Badii; Frederic Theodor Stahl

    Multi-Phase Algorithmic Framework to Prevent SQL Injection Attacks using Improved Machine learning and Deep learning to Enhance Database security in Real-time

    In: 2022 15th International Conference on Security of Information and Networks (SIN). International Conference on Security of Information and Networks …

  4. 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, …

  5. 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 …

  6. 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 …

  7. 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 …

  8. 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 …

  9. Burak Mete; Jessica Bielski; Viktor Eisenstadt; Christoph Langenhan; Frank Petzold; Klaus-Dieter Althoff

    Predicting semantic building information (BIM) with Recurrent Neural Networks

    In: European Conference on Product and Process Modeling. European Conference on Product and Process Modeling (ECPPM-2022), ECPPM, No. 14th, European …

  10. 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.