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Publications

Displaying results 311 to 320 of 681.
  1. CircNet: An encoder–decoder-based convolution neural network (CNN) for circular RNA identification

    In: Neural Computing and Applications, Vol. 34, Pages 11441-11452, Springer, London, 1/2021.

  2. Toward Semi-Supervised Graphical Object Detection in Document Images

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

  3. 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.

  4. Mohamed Selim; Stephan Krauß; Tewodros Amberbir Habtegebrial; Alain Pagani; Didier Stricker

    Deep Orientation-Guided Gender Recognition from Face Images

    In: Proceedings of the 12th International Conference on Pattern Recognition Systems. International Conference on Pattern Recognition Systems (ICPRS-22), June 7-10, Saint-Étienne, France, IEEE, 2022.

  5. Muhammad Nabeel Asim; Muhammad Ali Ibrahim; Christoph Zehe; Olivier Cloarec; Rickard Sjogren; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    L2S-MirLoc: A Lightweight Two Stage MiRNA Sub-Cellular Localization Prediction Framework

    In: IJCNN 2021 Conference Proceedings. International Joint Conference on Neural Networks (IJCNN-2021), July 18-22, ISBN 978-0-7381-3366-9, IEEE, 2021.

  6. 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.

  7. 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.