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Publications

Displaying results 441 to 450 of 563.

  1. Mohsin Munir; Shoaib Ahmed Siddiqui; Muhammad Ali Chattha; Andreas Dengel; Sheraz Ahmed

    FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models

    In: Sensors - Open Access Journal (Sensors), Vol. 19, No. 11, Pages 1-15, MDPI, 5/2019.

  2. Benjamin Bischke; Patrick Helber; Joachim Folz; Damian Borth; Andreas Dengel

    Multi-task learning for segmentation of building footprints with neural networks

    In: AI4SocialGood. International Conference on Learning Representations (ICLR-2019), May 6-9, New Orleans, Louisiana, USA, arXiv, 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. Gabriel Mittag; Sebastian Möller

    Non-intrusive Estimation of Packet Loss Rates in Speech Communication Systems Using Convolutional Neural Networks

    In: 2018 IEEE International Symposium on Multimedia (ISM). IEEE International Symposium on Multimedia (ISM-2018), December 10-12, Taichung, Taiwan, Province of China, Pages 105-109, ISBN 978-1-5386-6857-3, IEEE, 2018.

  5. Dayananda Herurkar; Shoya Ishimaru; Andreas Dengel

    Combining Software-Based Eye Tracking and a Wide-Angle Lens for Sneaking Detection

    In: Proc. UbiComp2018 Adjunct (Hrsg.). The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing. International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-2018), October 8-12, Singapore, Singapore, Pages 54-57, ISBN 978-1-4503-5966-5, ACM, 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. 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.

  8. 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.

  9. Kripasindhu Sarkar; Kiran Varanasi; Didier Stricker

    3D Shape Processing by Convolutional Denoising Autoencoders on Local Patches

    In: 2018 IEEE Winter Conference on Applications of Computer Vision (WACV) |. IEEE Winter Conference on Applications of Computer Vision (WACV-18), March 12-15, Lake Tahoe, NV, USA, IEEE, 2018.

  10. Martin Jenckel; Sourabh Sarvotham Parkala; Syed Saqib Bukhari; Andreas Dengel

    Impact of Training LSTM-RNN with Fuzzy Ground Truth

    In: Proceedings of ICPRAM. International Conference on Pattern Recognition Applications and Methods (ICPRAM-18), 7th International Conference on Pattern Recognition Applications and Methods, January 16-18, Funchal, Madeira, Portugal, SCITEPRESS Digital Library, 2018.

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