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Publications

Displaying results 531 to 540 of 572.

  1. 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.

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    Removal of Historical Document Degradations Using Conditional GANs , In International Conference on Pattern Recognition Applications and Methods (ICPRAM 2019)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

  3. Vijaya Kumar Bajjer Ramanna; Syed Saqib Bukhari; Andreas Dengel

    Document Image Dewarping Using Deep Learning

    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.

  4. 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.

  5. 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.

  6. Rohan Saxena; René Schuster; Oliver Wasenmüller; Didier Stricker

    PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation

    In: Intelligent Vehicles Symposium. IEEE Intelligent Vehicles Symposium (IV-2019), June 10-12, Paris, France, IEEE, 2019.

  7. Carlos Sánchez-Sánchez; Dario Izzo; Daniel Hennes

    Learning the optimal state-feedback using deep networks

    In: Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence. IEEE Symposium Series on Computational Intelligence (SSCI-2016), December 6-9, Athen, Greece, IEEE, 12/2016.

  8. Stalin Varanasi; Günter Neumann

    Answering Non-Factoid questions of Online Users using Text-based End-to-end Trainable models

    In: The Twenty-Fifth Text REtrieval Conference (TREC 2016) Notebook. Text Retrieval Conference (TREC-16), November 15-18, Gaithersburg, Maryland, USA, Trec, 11/2016.

  9. Eleftherios Avramidis; Vivien Macketanz; Aljoscha Burchardt; Jindrich Helcl; Hans Uszkoreit

    Deeper Machine Translation and Evaluation for German

    In: Jan Hajic; Gertjan van Noord; António Branco (Hrsg.). Proceedings of the 2nd Deep Machine Translation Workshop. Deep Machine Translation Workshop (DMTW), October 21, Lisbon, Portugal, Pages 29-38, ISBN 978-80-88132-02-8, Charles University, Prague, 10/2016.

  10. Joerg Evermann; Jana-Rebecca Rehse; Peter Fettke

    A Deep Learning Approach for Predicting Process Behaviour at Runtime

    In: Marlon Dumas; Marcelo Fantinato (Hrsg.). Proceedings of the 1st International Workshop on Runtime Analysis of Process-Aware Information Systems. International Workshop on Runtime Analysis of Process-Aware Information Systems (PRAISE-2016), located at International Conference on Business Process Management, September 18-22, Rio de Janeiro, Brazil, Springer, 2016.

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