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Publications

Displaying results 431 to 440 of 563.

  1. Benjamin Bischke; Patrick Helber; Jörn Hees; Andreas Dengel

    Location-Specific Embedding Learning for the Semantic Segmentation of Building Footprints on a global scale

    In: Global-Environment Observation and Disaster Mitigation. IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2019), July 28 - August 2, Yokohama, Japan, IEEE, 2019.

  2. Philip Hake; Jana-Rebecca Rehse; Peter Fettke

    Supporting Complaint Management in the Medical Technology Industry by Means of Deep Learning

    In: 3rd International Workshop on Artificial Intelligence for Business Process Management. International Workshop on Artificial Intelligence for Business Process Management (AI4BPM-2019), located at Business Process Management, September 1-6, Vienna, Austria, Springer, 2019.

  3. Muhammad Ali Chatta; Muhammad Shoaib Ahmed Siddiqui; Moshin Munir; Ludger van Elst; Imran Malik; Andreas Dengel; Sheraz Ahmed

    DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting

    In: The 28th International Conference on Artificial Neural Networks. International Conference on Artificial Neural Networks (ICANN-2019), September 17-19, Munich, Germany, IEEE, 9/2019.

  4. 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.

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    Removal of Historical Document Degradations Using Conditional GANs , In International Conference on Pattern Recognition Applications and Methods (ICPRAM 2019)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

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. Tushar Karayil; Philipp Blandfort; Jörn Hees; Andreas Dengel

    The Focus-Aspect-Value Model for Explainable Prediction of Subjective Visual Interpretation

    In: Proceedings of the 2019 on International Conference on Multimedia Retrieval. ACM International Conference on Multimedia Retrieval (ICMR-2019), June 10-13, Ottawa, Ontario, Canada, Pages 16-24, ISBN 978-1-4503-6765-3, ACM, 2019.

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