Skip to main content Skip to main navigation

Publikationen

Zeige Ergebnisse 71 bis 80 von 572
  1. René Schuster; Oliver Wasenmüller; Christian Unger; Didier Stricker

    SDC - Stacked Dilated Convolutions

    In: Computer Science in Cars Sympoisum. ACM Computer Science in Cars Symposium (CSCS-2019), October 8, Kaiserslautern, Germany, ACM, 10/2019.

  2. Dominik Stammbach; Günter Neumann

    Team DOMLIN: Exploiting Evidence Enhancement for the FEVER Shared Task

    In: Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER). Workshop on Fact Extraction and Verification (FEVER-2019), located …

  3. Felix Neutatz; Mohammad Mahdavi; Ziawasch Abedjan

    ED2: A Case for Active Learning in Error Detection

    In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management. ACM International Conference on Information and …

  4. Benjamin Bischke; Patrick Helber; Simon Brugman; Erkan Basar; Zhengyu Zhao; Martha Larson; Konstantin Pogorelov

    The Multimedia Satellite Task at MediaEval 2019

    In: Working Notes Proceedings of the MediaEval 2019. MediaEval Benchmark (MediaEval-2019), October 27-29, Sophia Antipolis (Biot), France, 2019.

  5. Alexandra König; Hali Lindsay; Johannes Troger; Inez H.G.B. Ramakers (Hrsg.)

    The use of artificial intelligence and automatic speech and image analysis for remote cognitive testing

    Alzheimer Europe Conference (AEC-2019), October 23-25, The Hague, Netherlands, Alzheimer Europe Conference, 10/2019.

  6. Eva Martínez Garcia; Carles Creus; Cristina España-Bonet

    Context-Aware Neural Machine Translation Decoding

    In: Fourth Workshop on Discourse in Machine Translation. Discourse in Machine Translation (DiscoMT-2019), located at EMNLP-IJCNLP 2019, November 3, …

  7. Ekaterina Lapshinova-Koltunski; Cristina España-Bonet; Josef van Genabith

    Analysing Coreference in Transformer Outputs

    In: Fourth Workshop on Discourse in Machine Translation. Discourse in Machine Translation (DiscoMT-2019), located at EMNLP-IJCNLP 2019, November 3, …

  8. Neural Network Based Wireless Channel Prediction

    In: Fa-Long Luo (Hrsg.). Machine Learning for Future Wireless Communications. Chapter 16, Pages 1-30, John Wiley and IEEE Press, 2019.

  9. Patrick Trampert; Tim Dahmen; Philipp Slusallek

    Application of Missing Wedge Inpainting in Material Science

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

  10. 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.