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Year: 2019
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Displaying results 21 to 30 of 62.

  1. Viktor Eisenstadt; Christoph Langenhan; Klaus-Dieter Althoff

    FLEA-CBR - A Flexible Alternative to the Classic 4R Cycle of Case-Based Reasoning

    In: Kerstin Bach; Cindy Marling (Hrsg.). Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR-2019), …

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

    Cases without borders: Automating Knowledge Acquisition Approach using Deep Autoencoders and Siamese Networks in Case-based Reasoning

    In: 2019 IEEE 31st International Conference on Tools with Artificial Intelligence. International Conference on Tools with Artificial Intelligence …

  3. Jakob M. Schönborn; Klaus-Dieter Althoff

    Recent Trends in XAI: A Broad Overview on current Approaches, Methodologies and Interactions

    In: Workshops Proceedings for the Twenty-seventh International Conference on Case-Based Reasoning: Explainable Knowledge in Computational Design, …

  4. Merton Lansley; Nikolaos Polatidis; Stelios Kapetanakis; Kareem Amin; George Samakovitis; Miltos Petridis

    Seen the villains: Detecting Social Engineering Attacks using Case-based Reasoning and Deep Learning

    In: Workshops Proceedings for the Twenty-seventh International Conference on Case-Based Reasoning: Case-based reasoning and deep learning workshop. …

  5. Mohsin Munir; Muhammad Ali Chattha; Sheraz Ahmed; Andreas Dengel

    A Comparative Analysis of Traditional and Deep Learning-based Anomaly Detection Methods for Streaming Data

    In: 18th IEEE International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications …

  6. Rodrigo Suarez‑Ibarrola; Simon Hein; Gerd Reis; Christian Gratzke; Arkadiusz Miernik

    Current and future applications of machine and deep learning in urology: a review of the literature on urolithiasis, renal cell carcinoma, and bladder and prostate cancer

    In: World Journal of Urology (WJUR), Vol. 2018, Pages 1-19, Springer-Verlag GmbH Germany, part of Springer Nature 2019, 2019.

  7. Jameel Malik; Ahmed Elhayek; Fabrizio Nunnari; Didier Stricker

    Simple and effective deep hand shape and pose regression from a single depth image

    In: Computers & Graphics (CAG), Vol. 85, Pages 85-91, ELSEVIER, 10/2019.

  8. Tim Dahmen; Pavel Potocek; Patrick Trampert; Maurice Peemen; Remco Schoenmakers

    Sparse Scanning Electron Microscopy and Deep Learning for Imaging and Segmentation of Neuron Structures

    In: Microscopy & Microanalysis 25. Microscopy & Microanalysis (M&M-2019), August 4-8, Portland, Oregon, USA, Cambridge University Press, 8/2019.

  9. Tim Dahmen; Patrick Trampert; Faysal Boughorbel; Janis Sprenger; Matthias Klusch; Klaus Fischer; Christian Kübel; Philipp Slusallek

    Digital reality: a model-based approach to supervised learning from synthetic data

    In: AI Perspectives, Vol. 1, Pages 1-12, Springer, 2019.

  10. Tewodros Amberbir Habtegebrial; Gerd Reis; Didier Stricker

    Deep Convolutional Networks For Snapshot Hyperspectral Demosaicking

    In: 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). Workshop on Hyperspectral Imaging and …

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