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Publications

Displaying results 371 to 380 of 676.

  1. Michael Barz; Daniel Sonntag

    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 Pervasive and Ubiquitous Computing (UbiComp-16), September 12-16, Heidelberg, Germany, Pages 253-256, ISBN 978-1-4503-4462-3, ACM, 9/2016.

  2. Georg Wiese; Dirk Weißenborn; Mariana Neves

    Neural Domain Adaptation for Biomedical Question Answering

    In: ACL. Conference on Computational Natural Language Learning (CoNLL-17), ACL, 2017.

  3. Monit Shah Singh; Vinaychandran Pondenkandath; Bo Zhou; Paul Lukowicz; Marcus Liwicki

    Transforming Sensor Data to the Image Domain for Deep Learning - an Application to Footstep Detection

    In: The International Joint Conference on Neural Networks. International Joint Conference on Neural Networks (IJCNN-2017), May 14-19, Anchorage, Alaska, USA, IEEE, 2017.

  4. 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 978-4-87974-714-3, Association for Computational Linguistics, 12/2016.

  5. 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), December 6-9, Athen, Greece, IEEE, 12/2016.

  6. Stalin Varanasi; Günter Neumann

    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, Trec, 11/2016.

  7. Babu Ajish; Leon Cedric Danter; Pierre Willenbrock; Sankaranarayanan Natarajan; Daniel Kuehn; Frank Kirchner

    ARTER: a walking excavator robot for autonomous and remote operations

    In: at - Automatisierungstechnik, Vol. 70, No. 10, Pages 876-887, De Gruyter, 2022.

  8. Johannes Lahann; Peter Pfeiffer; Peter Fettke

    LSTM-based Anomaly Detection of Process Instances: Benchmark and Tweaks

    In: Proceedings of the 4th International Conference on Process Mining (Workshops). International Conference on Process Mining (ICPM-2022), Process Mining Workshops, October 23-28, Bolzano, Italy, Lecture Notes in Business Information Processing, Springer, 2023.

  9. Saifullah Saifullah; Dominique Mercier; Adriano Lucieri; Andreas Dengel; Sheraz Ahmed

    The privacy-explainability trade-off: unraveling the impacts of differential privacy and federated learning on attribution methods

    In: Frontiers in Artificial Intelligence, Vol. 7, Pages 1-26, Frontiers, 7/2024.

  10. Sankalp Sinha; Khurram Azeem Hashmi; Alain Pagani; Marcus Liwicki; Didier Stricker; Muhammad Zeshan Afzal

    Rethinking Learnable Proposals for Graphical Object Detection in Scanned Document Images

    In: Applied Sciences, Vol. 12, No. 20, Pages 1-22, MDPI, Switzerland, 10/2022.

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