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Publications

Displaying results 581 to 590 of 647.

  1. Muhammad Nabeel Asim; Muhammad Imran Malik; Christoph Zehe; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    MirLocPredictor: a ConvNet-based multi-label MicroRNA subcellular localization predictor by incorporating k-Mer positional information

    In: Genes, Vol. 11, No. 12 (1475), Pages 1-23, MDPI, 2020.

  2. 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.

  3. 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.

  4. 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.

  5. Maximilian Hoffmann; Lukas Malburg; Ralph Bergmann

    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.

  6. 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.

  7. Kareem Amin; Stelios Kapetanakis; Klaus-Dieter Althoff; Andreas Dengel; Miltos Petridis

    Dynamic process workflow routing using Deep Learning

    In: Artificial Intelligence XXXV. SGAI International Conference on Artificial Intelligence (AI-2018), December 11-13, Cambridge, United Kingdom, Springer, 2018.

  8. Orkhan Amiraslanov; Hamraz Javaheri; Sizhen Bian; Paul Lukowicz

    Preparation for Future Learning: Augmented-Reality Enhanced Interactive Physics Labs

    In: Proceedings of the International Conference on Ubiquitous Computing. International Conference on Ubiquitous Computing (Ubicomp-2018), October 8-12, Singapore, Singapore, Pages 331-334, ISBN 978-1-4503-5966-5/18/10, ACM, 2018.

  9. Patrick Lübbecke; Nijat Mehdiyev; Peter Fettke

    Substitution of hazardous chemical substances using Deep Learning and t-SNE

    In: Proceedings der Internationalen Tagung Wirtschaftsinformatik. Internationale Tagung Wirtschaftsinformatik (WI-2019), Human Practice. Digital Ecologies. Our Future. February 24-27, Siegen, Germany, AIS, 2019.

  10. Patrick Helber; Benjamin Bischke; Andreas Dengel; Damian Borth

    Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification

    In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2019.

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