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Publications

Displaying results 371 to 380 of 682.

  1. Lia Ahrens; Julian Ahrens; Hans D. Schotten

    A machine-learning phase classification scheme for anomaly detection in signals with periodic characteristics

    In: EURASIP Journal on Advances in Signal Processing (ASP), Vol. 2019, No. 27, Pages 1-23, Springer International Publishing, 5/2019.

  2. Florian Pusse; Matthias Klusch

    Hybrid Online POMDP Planning and Deep Reinforcement Learning for Safer Self-Driving Cars

    In: 30th IEEE International Intelligent Vehicle Symposium (IV 2019). IEEE Intelligent Vehicles Symposium (IV-19), June 9-12, Paris, France, IEEE Press, 2019.

  3. Jameel Malik; Ahmed Elhayek; Sheraz Ahmed; Faisal Shafait; Muhammad Imran Malik; Didier Stricker

    3DAirSig: A Framework for Enabling In-Air Signatures Using a Multi-Modal Depth Sensor

    In: Sensors - Open Access Journal (Sensors), Vol. 18, No. 11, Page 3872, MDPI AG, Basel, Switzerland, 11/2018.

  4. 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.

  5. Patrick Lübbecke; Nijat Mehdiyev; Peter Fettke

    Substitution of hazardous chemical substances using Deep Learning and t-SNE

    In: Proceedings der Internationalen Tagung Wirtschaftsinformatik. Internationale Tagung Wirtschaftsinformatik (WI-2019), Human Practice. Digital Ecologies. Our Future. February 24-27, Siegen, Germany, AIS, 2019.

  6. Patrick Helber; Benjamin Bischke; Andreas Dengel; Damian Borth

    Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification

    In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2019.

  7. Christoph Alt; Marc Hübner; Leonhard Hennig

    Improving Relation Extraction by Pre-trained Language Representations

    In: Proceedings of AKBC 2019. Automated Knowledge Base Construction (AKBC-2019), May 20-22, Amherst, Massachusetts, USA, OpenReview, 2019.

  8. Christoph Zetzsche; Ruth Rosenholtz; Noshaba Cheema; Konrad Gadzicki; Lex Fridman; Kerstin Schill

    Neural Computation of Statistical Image Properties in Peripheral Vision

    In: Vision Science Society (Hrsg.). MODVIS. Computational and Mathematical Models in Vision (MODVIS-2017), located at Vision Sciences Society Annual Meeting, May 17-19, St. Pete Beach, FL, USA, Purdue University, 5/2017.

  9. Praveen Kumar Badimala Giridhara; Chinmaya Mishra; Reddy Kumar Modam Venkataramana; Syed Saqib Bukhari; Andreas Dengel

    A Study of Various Text Augmentation Techniques for Relation Classification in Free Text

    In: The 8th International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2019), February 19-21, Prague, Czech Republic, Insticc, 2019.

  10. Veeru Dumpala; Sheela Raju Kurupathi; Syed Saqib Bukhari; Andreas Dengel

    Removal of Historical Document Degradations Using Conditional GANs , In International Conference on Pattern Recognition Applications and Methods (ICPRAM 2019)

    In: The 8th International Conference on Pattern Recognition Applications and Methods ICPRAM 2019. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2019), February 19-21, Prague, Czech Republic, Insticc, 2019.

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