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Jahr: 2022
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  1. 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 …

  2. 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, …

  3. 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 …

  4. 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 …

  5. 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 …

  6. 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 …

  7. 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 …

  8. 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.

  9. 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 …

  10. 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.

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