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Publications

Displaying results 161 to 170 of 571.
  1. Ashlam Ahmed Abadulla; Atta Badii; Frederic Theodor Stahl

    A Novel Approach Exploiting Machine Learning to Detect SQLi Attacks

    In: Abdessattar Ben Amor; Salwa Elloumi; Samir Nejim; Nabila Dhahbi; Hassène Gritli; Naoufel Machta (Hrsg.). 5th International Conference on Advanced Systems and Emergent Technologies. International Conference on Advanced Systems and Emergent Technologies (IC_ASET-2022), March 22-25, Hammamet, Tunisia, Pages 513-517, ISBN 978-1-6654-2735-7, IEEE, 2022.

  2. Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification

    In: Guang Yang; Angelica Aviles-Rivero; Michael Roberts; Carola-Bibiane Schönlieb (Hrsg.). Annual Conference on Medical Image Understanding and Analysis - MIUA 2022. Medical Image Understanding and Analysis (MIUA-2022), July 27-29, Cambridge, United Kingdom, Pages 46-61, LNCS, Vol. 13413, ISBN 978-3-031-12052-7, Springer, Cham, 7/2022.

  3. Melle Mendikowski; Mattis Hartwig

    Creating Customers That Never Existed - Synthesis of E-commerce Data Using CTGAN

    In: ibai - publishing (Hrsg.). Machine Learning and Data Mining in Pattern Recognition. International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM-2022), 18th International Conference on Machine Learning and Data Mining, July 16-21, New York, New York, USA, Pages 91-105, Vol. 284, ISBN 978-3-942952-93-4, Springer, Heidelberg, 7/2022.

  4. ProGAN: Toward a Framework for Process Monitoring and Flexibility by Change via Generative Adversarial Networks

    In: Andrea Marrella; Barbara Weber (Hrsg.). Business Process Management Workshops. Business Process Management (BPM), Springer, 2021.

  5. Hristina Uzunova; Matthias Wilms; Nils D Forkert; Heinz Handels; Jan Ehrhardt

    A systematic comparison of generative models for medical images

    In: International Journal of Computer Assisted Radiology and Surgery (IJCARS), Vol. 17, Pages 1-12, Springer, 2022.

  6. Andreas Maier; Thomas M Deserno; Heinz Handels; Klaus Maier-Hein; Christoph Palm; Thomas Tolxdorff

    IJCARS: BVM 2021 special issue

    In: International journal of computer assisted radiology and surgery (IJCARS), Vol. 16, No. 12, Pages 2067-2068, Springer, 2021.

  7. Víctor Uc-Cetina; Nicolás Navarro-Guerrero; Anabel Martin-Gonzalez; Cornelius Weber; Stefan Wermter

    Survey on Reinforcement Learning for Language Processing

    In: Artificial Intelligence Review, Vol. 1, Pages 1-33, Springer, 6/2022.

  8. Andreas Winter; Boris Brandherm; Michael Igel; Peter Schegner

    Klassische Stromnetzberechnung in Kombination mit künstlicher Intelligenz zur Analyse und Diagnose von Stromverteilnetzen

    In: VDE FNN / ETG Tutorial Schutz- und Leittechnik. VDE FNN / ETG Tutorial Schutz- und Leittechnik, VDE Verlag GmbH, 2/2022.

  9. Abdul Rafey Aftab; Michael von der Beeck; Steven Rohrhirsch; Benoit Diotte; Michael Feld

    Multimodal Fusion Using Deep Learning Applied to Driver's Referencing of Outside-Vehicle Objects

    In: IEEE (Hrsg.). 2021 IEEE Intelligent Vehicles Symposium (IV). IEEE Intelligent Vehicles Symposium (IV-2021), 32th Intelligent Vehicles Symposium, located at IV21, July 11-17, Nagoya, Japan, Pages 1108-1115, ISBN 978-1-7281-5394-0, IEEE, 11/2021.