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Publications

Displaying results 351 to 360 of 682.

  1. Dagmar Gromann; Luis Espinosa Anke; Thierry Declerck

    Special Issue on Semantic Deep Learning

    Semantic Web Journal, special issues on Semantic Deep Learning, Pages 1-8, Vol. 10, ISBN 2210-4968, IOS Press, Amsterdam, The Netherlands, 8/2019.

  2. Key-Sun Choi; Luis Espinosa Anke; Thierry Declerck; Dagmar Gromann; Jin-Dong Kim; Axel-Cyrille Ngonga Ngomo; Muhammad Saleem; Ricardo Usbeck (Hrsg.)

    Joint Proceedings of ISWC 2018 Workshops SemDeep-4 and NLIWOD-4

    Workshop on Semantic Deep Learning (SemDeep-2018), located at 17th International Semantic Web Conference, October 8, Monterey, USA, Vol. 2241, ISBN 1613-0073, CEURS, 10/2018.

  3. Johannes Lahann; Martin Scheid; Peter Fettke

    Towards Optimal Free Trade Agreement Utilization through Deep Learning Techniques

    In: Tung Bui; Ralph Sprague (Hrsg.). Proceedings of the 53rd Annual Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (HICSS-2020), January 7-10, Maui, HI, USA, ISBN 978-0-9981331-3-3, IEEE Computer Society, 2020.

  4. Dagmar Gromann; Luis Espinosa-Anke; Thierry Declerck; Jose Camacho-Collados; Mohammad Taher Pilehvar (Hrsg.)

    Proceedings of the 5th Workshop on Semantic Deep Learning

    Workshop on Semantic Deep Learning (SemDeep-2019), located at 28th International Joint Conference on Artificial Intelligence, August 10-16, Macao, China, ISBN 978-1-950737-19-2, Association for Computational Linguistics (ACL), Stroudsburg, PA 18360, USA, 8/2019.

  5. Yongzhi Su; Jason Raphael Rambach; Nareg Minaskan Karabid; Paul Lesur; Alain Pagani; Didier Stricker

    Deep Multi-State Object Pose Estimation for Augmented Reality Assembly

    In: Proceedings of the 18th IEEE ISMAR. IEEE International Symposium on Mixed and Augmented Reality (ISMAR-2019), October 14-18, Beijing, China, IEEE, 2019.

  6. Jameel Malik; Ahmed Elhayek; Fabrizio Nunnari; Didier Stricker

    Simple and effective deep hand shape and pose regression from a single depth image

    In: Computers & Graphics (CAG), Vol. 85, Pages 85-91, ELSEVIER, 10/2019.

  7. Tim Dahmen; Pavel Potocek; Patrick Trampert; Maurice Peemen; Remco Schoenmakers

    Sparse Scanning Electron Microscopy and Deep Learning for Imaging and Segmentation of Neuron Structures

    In: Microscopy & Microanalysis 25. Microscopy & Microanalysis (M&M-2019), August 4-8, Portland, Oregon, USA, Cambridge University Press, 8/2019.

  8. Tim Dahmen; Patrick Trampert; Faysal Boughorbel; Janis Sprenger; Matthias Klusch; Klaus Fischer; Christian Kübel; Philipp Slusallek

    Digital reality: a model-based approach to supervised learning from synthetic data

    In: AI Perspectives, Vol. 1, Pages 1-12, Springer, 2019.

  9. Patrick Trampert; Sabine Schlabach; Tim Dahmen; Philipp Slusallek

    Deep Learning for Sparse Scanning Electron Microscopy

    In: Microscopy and Microanalysis 25. Microscopy & Microanalysis (M&M-2019), August 4-8, Portland, Oregon, USA, Cambridge University Press, 2019.

  10. Muhammad Shoaib Ahmed Siddiqui; Imran Ali Fateh; Syed Tahseen Raza Rizvi; Andreas Dengel; Sheraz Ahmed

    DeepTabStR: Deep Learning based Table Structure Recognition

    In: IEEE (Hrsg.). International Conference on Document Analysis and Recognition. International Conference on Document Analysis and Recognition (ICDAR-2019), located at 15th, September 20-25, Sydney, Australia, IEEE, 2019.

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