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Year: 2022
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Displaying results 21 to 30 of 79.

  1. Goutham Kallempudi; Khurram Azeem Hashmi; Alain Pagani; Marcus Liwicki; Didier Stricker; Muhammad Zeshan Afzal

    Toward Semi-Supervised Graphical Object Detection in Document Images

    In: Future Internet (MDPI), Vol. 14, No. 6, Pages 176-198, MDPI, Switzerland, 6/2022.

  2. Qiuheng Zhou; Wei Jiang; Donglin Wang; Hans D. Schotten (Hrsg.)

    Deep Learning-Based Signal-to-Noise Ratio Prediction for Realistic Wireless Communication

    IEEE Vehicular Technology Conference (VTC-2022), June 19-22, Helsinki, Finland, IEEE, 2022.

  3. Julia Andresen; Timo Kepp; Jan Ehrhardt; Claus von der Burchard; Johann Roider; Heinz Handels

    Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies

    In: International Journal of Computer Assisted Radiology and Surgery (IJCARS), Vol. 17, No. 4, Pages 699-710, Springer, 2022.

  4. 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.

  5. Adriano Lucieri; Fabian Schmeisser; Christoph Peter Balada; Muhammad Shoaib Ahmed Siddiqui; Andreas Dengel; Sheraz Ahmed

    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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. Muhammad Nabeel Asim; Muhammad Ali Ibrahim; Muhammad Imran Malik; Andreas Dengel; Sheraz Ahmed

    LGCA-VHPPI: A local-global residue context aware viral-host protein-protein interaction predictor

    In: PLoS ONE (PLOS), Vol. 7, Pages 1-26, PLOS, 2022.

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