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Publications

Displaying results 411 to 420 of 563.

  1. Jens Popper; William Motsch; Alexander David; Teresa Petzsche; Martin Ruskowski (Hrsg.)

    Utilizing Multi-Agent Deep Reinforcement Learning For Flexible Job Shop Scheduling Under Sustainable Viewpoints

    International Conference on Electrical, Computer, Communications and Mechatronics Engineering, located at 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, October 7-8, Belle Mare, Mauritius, IEEE, 2021.

  2. 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.

  3. Sharam Dadashnia; Tim Niesen; Philip Hake; Peter Fettke; Nijat Mehdiyev; Joerg Evermann

    Identification of Distinct Usage Patterns and Prediction of Customer Behavior

    In: Sixth International Business Process Intelligence Challenge (BPIC’16). Business Process Intelligence Challenge (BPIC-2016), located at BPI / BPM 2016, September 19, Rio de Janeiro, Brazil, Springer, 2016.

  4. Heng Luo; Rui Min Shen; Changyong Niu; Carsten Ullrich

    Sparse Group Restricted Boltzmann Machines

    In: W. Burgard; D. Roth (Hrsg.). Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI), August 7-11, San Francisco, California, USA, AAAI Press, 2011.

  5. Jason Raphael Rambach; Aditya Tewari; Alain Pagani; Didier Stricker

    Learning to Fuse: A Deep Learning Approach to Visual-Inertial Camera Pose Estimation

    In: Proceedings of IEEE International Symposium on Mixed and Augmented Reality |. IEEE International Symposium on Mixed and Augmented Reality (ISMAR-2016), September 19-23, Merida, Mexico, IEEE, 9/2016.

  6. Sergio Roa; Valia Kordoni; Yi Zhang

    Mapping between Compositional Semantic Representations and Lexical Semantic Resources: Towards Accurate Deep Semantic Parsing

    In: Proceedings of ACL-08: HLT, Short Papers. Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-HLT-2008), June 15-20, Columbus, OH, USA, Pages 189-192, 2008.

  7. Hans Uszkoreit

    New Chances for Deep Linguistic Processing

    In: Chu-Ren Huang (Hrsg.). Frontiers in Computational Linguistics. Shangwu Press, 2004.

  8. Aljoscha Burchardt; Anette Frank

    Approximating Textual Entailment with LFG and FrameNet Frames

    In: Proceedings of the second PASCAL Recognizing Textual Entailment Workshop. PASCAL Recognizing Textual Entailment Workshop, Venice, Italy, Pages 92-97, 2006.

  9. Wei Jiang; Hans Dieter Schotten

    A Simple Cooperative Diversity Method Based on Deep-Learning-Aided Relay Selection

    In: IEEE Transactions on Vehicular Technology, Vol. 70, Pages 1-16, IEEE, 2021.

  10. Christian Schorr; Payman Goodarzi; Fei Chen; Tim Dahmen

    Neuroscope: An Explainable AI Toolbox for Semantic Segmentation and Image Classification of Convolutional Neural Nets

    In: Antonio Fernández-Caballero (Hrsg.). Applied Sciences, Vol. 11 - Special Issue on Explainable AI, No. 5, Pages 2199-2215, MDPI, Basel, 3/2021.

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