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Year: 2022
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Displaying results 101 to 110 of 807.

  1. Shaden Baradie; Rekha Reddy; Christoph Lipps; Hans Dieter Schotten

    Managing the Fifth Generation (5G) Wireless Mobile Communication: A Machine Learning Approach for Network Traffic Prediction

    In: ITG-Fb. 304: Mobilkommunikation - Technologien und Anwendungen. VDE/ITG Fachtagung Mobilkommunikation (MKT-2022), May 18-19, Osnabrück, Germany, ISBN 978-3-8007-5873-9, VDE ITG, 5/2022.

  2. Christoph Lipps; Shaden Baradie; Jan Herbst; Leigh Armistead; Hans Dieter Schotten

    Cybersecurity in Industrial Automation and Control Systems: The Recent Attack of the Colonial Pipeline

    In: Neal Kushwaha; Brett van Niekerk; Trishana Ramluckan. Modelling Nation-state Information Warfare and Cyber-operations Paperback – 7 Jun. 2022. Chapter 3, ISBN Modelling Nation-state Information Warfare and Cyber-operations Paperback – 7 Jun. 2022, Academic Bookshop, 6/2022.

  3. Janis Sprenger; Lorena Hell; Matthias Klusch

    Motion Capturing in Large-Scale VR Environments using Consumer Hardware

    In: Proceedings of the 17th International Symposium of 3-D Analysis of Human Movement. International Symposium of 3-D Analysis of Human Movement (3D-AHM-2022), 17th, July 16-19, Tokyo, Japan, International Society of Biomechanics, 2022.

  4. 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.

  5. 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.

  6. Benjamin Paaßen; Malwina Dywel; Melanie Fleckenstein; Niels Pinkwart

    Interpretable Knowledge Gain Prediction for Vocational Preparatory E-Learnings

    In: Maria Mercedes Rodrigo; Noburu Matsuda; Alexandra I. Cristea; Vania Dimitrova (Hrsg.). Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. International Conference on Artificial Intelligence in Education (AIED-2022), July 27-31, Durham, United Kingdom, Pages 132-137, LNCS, Vol. 13356, Springer, Cham, 7/2022.

  7. Benjamin Paaßen; Christina Göpfert; Niels Pinkwart

    Faster Confidence Intervals for Item Response Theory via an Approximate Likelihood

    In: Alexandra I. Cristea; Chris Brown; Tanja Mitrovic; Nigel Bosch (Hrsg.). Proceedings of the 15th International Conference on Educational Data Mining (EDM 2022). International Conference on Educational Data Mining (EDM-2022), July 24-27, Durham, United Kingdom, International Educational Data Mining Society, 2022.

  8. Benjamin Paaßen; Malwina Dywel; Melanie Fleckenstein; Niels Pinkwart

    Sparse Factor Autoencoders for Item Response Theory

    In: Alexandra I. Cristea; Chris Brown; Tanja Mitrovic; Nigel Bosch (Hrsg.). Proceedings of the 15th International Conference on Educational Data Mining (EDM 2022). International Conference on Educational Data Mining (EDM-2022), July 24-27, Durham, United Kingdom, International Educational Data Mining Society, 7/2022.

  9. Stanislav Frolov; Prateek Bansal; Jörn Hees; Andreas Dengel

    DT2I: Dense Text-to-Image Generation from Region Descriptions

    In: The 31st International Conference on Artificial Neural Networks. International Conference on Artificial Neural Networks (ICANN-2022), Springer, 2022.

  10. Sönke Knoch; Daniel Porta; Markus Baumann; Stefan Lehnhoff; Joachim Schwab

    Der digitale Zwilling in der Sicherheitstechnik

    In: Factory Innovation (FI), Vol. 3, No. 2, Pages 40-45, GITO, Berlin, 2022.

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