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Jahr: 2022
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Zeige Ergebnisse 11 bis 20 von 807.

  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, Zenodo, Genève, 8/2022.

  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 Seismology (3ECEES-2022), PUBLISHING Conspress & editors, 2022.

  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 Intelligence (LNAI), Vol. 13652, ISBN 978-3-031-21440-0, Springer Nature Switzerland AG, Cham, 12/2022.

  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 Conference on Artificial Intelligence (AI-2022), December 13-15, Cambridge, United Kingdom, Lecture Notes in Artificial Intelligence (LNAI), Vol. 13652, Springer Nature Switzerland AG, Cham, 12/2022.

  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 Conference on Artificial Intelligence (AI-2022), December 13-15, Cambridge, United Kingdom, Pages 138-152, Lecture Notes in Artificial Intelligence (LNAI), Vol. 13652, ISBN 978-3-031-21440-0, Springer Nature Switzerland AG, Cham, 12/2022.

  6. 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 Association of Product and Process Modelling, 9/2022.

  7. 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.

  8. 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 SSS), IEEE, 2022.

  9. 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.

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

    Graph neural networks for multivariate time series regression with application to seismic data

    In: International Journal of Data Science and Analytics, Pages 1-16, Springer, 8/2022.

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