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Publications

Displaying results 291 to 300 of 661.
  1. Daphne Theodorakopoulos; Christoph Manss; Frederic Theodor Stahl; Marius Lindauer

    Green AutoML for Plastic Litter Detection

    In: ICLR 2023 Workshop on Tackling Climate Change with Machine Learning. International Conference on Learning Representations (ICLR), None, 2023.

  2. SynTiSeD - Synthetic Time Series Data Generator

    In: 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES) - Proceedings. Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES), located at Cyber-Physical Systems and Internet-of-Things Week, May 9, San Antonio, TX, USA, Pages 1-6, ISBN 979-8-3503-3682-5, IEEE Xplore, 5/2023.

  3. 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.

  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. Enhancer-DSNet: A Supervisedly Prepared Enriched Sequence Representation for the Identification of Enhancers and Their Strength

    In: International Conference on Neural Information Processing. International Conference on Neural Information Processing (ICONIP-2020), Springer, 2020.

  7. Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classification

    In: Neural Computing and Applications, Vol. 33, Pages 5437-5469, Springer, 9/2020.

  8. 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.