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Publications

Displaying results 591 to 600 of 647.

  1. Nijat Mehdiyev; Joerg Evermann; Peter Fettke

    A Novel Business Process Prediction Model Using a Deep Learning Method

    In: Springer Fachmedien Wiesbaden (Hrsg.). Business & Information Systems Engineering (BISE), Vol. 5/2018, Pages 1-15, Springer Fachmedien, Wiesbaden, 7/2018.

  2. Kareem Mokhtar; Syed Saqib Bukhari; Andreas Dengel

    OCR Error Correction: State-of-the-art vs An NMT Based Approach

    In: DAS. IAPR International Workshop on Document Analysis Systems (DAS-2018), April 24-27, Vienna, Austria, IEEE, 2018.

  3. Cannannore Nidhi Narayana Kamath; Syed Saqib Bukhari; Andreas Dengel

    Comparative Study between Traditional Machine Learning and Deep Learning Approaches for Text Classification

    In: DocEng. ACM Symposium on Document Engineering (DocEng-2018), August 28-31, Halifax, Nova Scotia, Canada, ACM, 2018.

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

    Answering with Cases: A CBR Approach to Deep Learning

    In: Michael T. Cox; Peter Funk; Shahina Begum (Hrsg.). Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR-2018), July 9-12, Stockholm, Sweden, Springer, 12/2018.

  5. Ekaterina Loginova; Günter Neumann

    An Interactive Web-Interface for Visualizing the Inner Workings of the Question Answering LSTM

    In: EMNLP-2018, System Demonstration. Conference on Empirical Methods in Natural Language Processing (EMNLP-2018), November 2-4, Brüssel, Belgium, EMNLP, 11/2018.

  6. Mohsin Munir; Muhammad Shoaib Ahmed Siddiqui; Andreas Dengel; Sheraz Ahmed

    DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series

    In: IEEE Access, Vol. 7, Pages 1991-2005, IEEE, 12/2018.

  7. Mohamed Selim; Ahmet Firintepe; Alain Pagani; Didier Stricker

    AutoPOSE: Large-Scale Automotive Driver Head Pose and Gaze Dataset with Deep Head Pose Baseline

    In: International Conference on Computer Vision Theory and Applications (VISAPP). International Conference on Computer Vision Theory and Applications (VISAPP-2020), 15th, February 27-29, Valletta, Malta, SCITEPRESS Digital Library, 2020.

  8. 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 Signal Processing: Evolution in Remote Sensing (WHISPERS-2019), located at 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), September 24-26, Amsterdam, Netherlands, ISBN Electronic ISBN: 978-1-7281-5294-3, IEEE, 9/2019.

  9. 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 (ICMLA-2019), December 16-19, Boca Raton, Florida, USA, Pages 561-566, ISBN 978-1-7281-4550-1, IEEE, 12/2019.

  10. 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.

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