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Publications

Displaying results 331 to 340 of 682.

  1. Ho Minh Duy Nguyen; Hoang Nguyen; Mai T. N. Truong; Tri Cao; Binh T. Nguyen; Nhat Ho; Paul Swoboda; Shadi Albarqouni; Pengtao Xie; Daniel Sonntag

    Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering

    In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-2023). AAAI Conference on Artificial Intelligence (AAAI), February 7-14, Washington, DC, USA, AAAI Press, 2/2023.

  2. Simon Jungbluth; Nigora Gafur; Jens Popper; Vassilios Yfantis; Martin Ruskowski

    Reinforcement Learning-based Scheduling of a Job-Shop Process with Distributedly Controlled Robotic Manipulators for Transport Operations

    In: IFAC-PapersOnLine, Vol. 55, No. 2, Pages 156-162, Elsevier, 2022.

  3. 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.

  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. 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.

  9. 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.

  10. 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, 7/2018.

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