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Displaying results 101 to 110 of 514.

  1. Kumar Shridhar; Joonho Lee; Hideaki Hayashi; Purvanshi Mehta; Brian Kenji Iwana; Seokjun Kang; Seiichi Uchida; Sheraz Ahmed; Andreas Dengel

    ProbAct: A Probabilistic Activation Functionfor Deep Neural Networks

    In: OPT2020: 12th Annual Workshop on Optimization for Machine Learning. Workshop on Optimization for Machine Learning (OPT-2020), located at …

  2. Christian Schorr; Payman Goodarzi; Fei Chen; Tim Dahmen

    Neuroscope: An Explainable AI Toolbox for Semantic Segmentation and Image Classification of Convolutional Neural Nets

    In: Antonio Fernández-Caballero (Hrsg.). Applied Sciences, Vol. 11 - Special Issue on Explainable AI, No. 5, Pages 2199-2215, MDPI, Basel, 3/2021.

  3. Hardik Arora; Christoph Langenhan; Frank Petzold; Viktor Eisenstadt; Klaus-Dieter Althoff

    METIS-GAN: An approach to generate spatial configurations using deep learning and semantic building models

    In: Proceedings of the European Conference on Product and Process Modeling 2020-2021. European Conference on Product and Process Modeling …

  4. Wei Jiang; Hans Dieter Schotten

    Predictive Relay Selection: A Cooperative Diversity Scheme Using Deep Learning

    In: IEEE Wireless Communications and Networking Conference. IEEE Wireless Communications and Networking Conference (WCNC-2021), March 29 - April 1, …

  5. Hammad Tanveer Butt; Bertram Taetz; Mathias Musahl; Maria Alejandra Sanchez Marin; Pramod Murthy; Didier Stricker

    Magnetometer Robust Deep Human Pose Regression With Uncertainty Prediction Using Sparse Body Worn Magnetic Inertial Measurement Units

    In: IEEE Access, Vol. 9, Pages 36657-36673, IEEE, 2/2021.

  6. Ellák Somfai; Benjámin Baffy; Kristian Fenech; Changlu Guo; Rita Hosszú; Dorina Korózs; Fabrizio Nunnari; Marcell Pólik; Daniel Sonntag; Attila Ulbert; András Lorincz

    Minimizing false negative rate in melanoma detection and providing insight into the causes of classification

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2102.09199, Pages 1-14, arXiv, 2021.

  7. Dominique Mercier; Andreas Dengel; Sheraz Ahmed

    PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification

    In: International Joint Conference on Neural Networks. International Joint Conference on Neural Networks (IJCNN-2021), July 18-22, Virtual, Vol. …

  8. Dominic Neu; Johannes Lahann; Peter Fettke

    A systematic literature review on state-of-the-art deep learning methods for process prediction

    In: Artificial Intelligence Review, Vol. Online, Springer Nature, 3/2021.

  9. Saadullah Amin; Günter Neumann

    T2NER: Transformers based Transfer Learning Framework for Named Entity Recognition

    In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations. Conference of …

  10. Ahmet Firintepe; Carolin Vey; Stylianos Asteriadis; Alain Pagani; Didier Stricker

    From IR Images to Point Clouds to Pose: Point Cloud-Based AR Glasses Pose Estimation

    In: Nadia Magnenat Thalmann (Hrsg.). Journal of Imaging, Vol. 7, No. 80, Pages 1-18, MDPI, 4/2021.

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