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Publications

Displaying results 1 to 10 of 12.
  1. Riaz Ahmad; M. Zeshan Afzal; S. Faisal Rashid; Marcus Liwicki; Thomas Breuel; Andreas Dengel

    KPTI: Katib’s Pashto Text Imagebase and DeepLearning Benchmark

    In: 15th International Conference on Frontiers in Handwriting Recognition. International Conference on Frontiers in Handwriting Recognition (ICFHR), …

  2. M Zeshan Afzal Riaz Ahmad

    KPTI: Katib’s Pashto Text Imagebase and DeepLearning Benchmark

    In: KPTI: Katib&'s Pashto Text Imagebase and DeepLearning Benchmark. International Conference on Frontiers in Handwriting Recognition (ICFHR), 15th …

  3. Deeper Machine Translation and Evaluation for German

    In: Jan Hajic; Gertjan van Noord; António Branco (Hrsg.). Proceedings of the 2nd Deep Machine Translation Workshop. Deep Machine Translation Workshop …

  4. 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. …

  5. 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 …

  6. Li Ling Tan; Jon Dehdari; Josef van Genabith

    Faster and lighter phrase-based machine translation baseline

    In: The Third Workshop on Asian Translation (WAT2016). Workshop on Asian Translation (WAT-2016), December 12, Osaka, Japan, Pages 184-193, ISBN …

  7. Carlos Sánchez-Sánchez; Dario Izzo; Daniel Hennes

    Learning the optimal state-feedback using deep networks

    In: Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence. IEEE Symposium Series on Computational Intelligence (SSCI-2016), …

  8. Answering Non-Factoid questions of Online Users using Text-based End-to-end Trainable models

    In: The Twenty-Fifth Text REtrieval Conference (TREC 2016) Notebook. Text Retrieval Conference (TREC-16), November 15-18, Gaithersburg, Maryland, USA, …

  9. Gaze-guided Object Classification Using Deep Neural Networks for Attention-based Computing

    In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct. International Joint Conference on …