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Publications

Displaying results 11 to 20 of 40.
  1. 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, …

  2. TSViz: Demystification of Deep Learning Models for Time-Series Analysis

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1802.02952, Pages 1-13, ArXiv, 2018.

  3. Lukas Ruff; Robert Vandermeulen; Nico Goernitz; Lucas Deecke; Shoaib Ahmed Siddiqui; Alexander Binder; Emmanuel Müller; Marius Kloft

    Deep One-Class Classification

    In: International Conference on Machine Learning (ICML-2018). International Conference on Machine Learning (ICML-2018), Proceedings of Machine …

  4. David Harbecke; Robert Schwarzenberg; Christoph Alt

    Learning Explanations From Language Data

    In: The 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP - Proceedings of the First Workshop. Analyzing and …

  5. Jameel Malik; Ahmed Elhayek; Fabrizio Nunnari; Kiran Varanasi; Kiarash Tamaddon; Alexis Heloir; Didier Stricker

    DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by Learning from Synthetic Depth

    In: Proceeding of International Conference on 3DVision |. International Conference on 3D Vision (3DVision-2018), September 5-8, Verona, Italy, IEEE …

  6. Jyothish K. James; Georg Puhlfürst; Vladislav Golyanik; Didier Stricker

    Classification of LIDAR Sensor Contaminations with Deep Neural Networks

    In: Proceedings of Computer Science in Cars Symposium (CSCS) 2018 |. ACM Chapters Computer Science in Cars Symposium (CSCS-2018), ACM, 9/2018.

  7. 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, …

  8. 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.

  9. 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.

  10. 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 …