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Publications

Displaying results 511 to 520 of 572.

  1. Ekaterina Loginova; Günter Neumann

    An Interactive Web-Interface for Visualizing the Inner Workings of the Question Answering LSTM

    In: EMNLP-2018, System Demonstration. Conference on Empirical Methods in Natural Language Processing (EMNLP-2018), November 2-4, Brüssel, Belgium, EMNLP, 11/2018.

  2. Shoaib Ahmed Siddiqui; Dominique Mercier; Mohsin Munir; Andreas Dengel; Sheraz Ahmed

    TSViz: Demystification of Deep Learning Models for Time-Series Analysis

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1802.02952, Pages 1-13, ArXiv, 2018.

  3. Lukas Ruff; Robert Vandermeulen; Nico Goernitz; Lucas Deecke; Shoaib Ahmed Siddiqui; Alexander Binder; Emmanuel Müller; Marius Kloft

    Deep One-Class Classification

    In: International Conference on Machine Learning (ICML-2018). International Conference on Machine Learning (ICML-2018), Proceedings of Machine Learning Research, 2018.

  4. David Harbecke; Robert Schwarzenberg; Christoph Alt

    Learning Explanations From Language Data

    In: The 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP - Proceedings of the First Workshop. Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), located at EMNLP 2018, November 1, Brussels, Belgium, ISBN 978-1-948087-71-1, The Association for Computational Linguistics, 2018.

  5. Jesujoba O. Alabi; Kwabena Amponsah-Kaakyire; David I. Adelani; Cristina España-Bonet

    Massive vs. Curated Embeddings for Low-Resourced Languages: the Case of Yorùbá and Twi

    In: 12th Language Resources and Evaluation Conference (LREC). International Conference on Language Resources and Evaluation (LREC-2020), May 12-17, Marseille, France, European Language Resources Association (ELRA), París, 2020.

  6. Ekaterina Loginova; Stalin Varanasi; Günter Neumann

    Towards End-to-End Multilingual Question Answering

    In: Information Systems Frontiers (ISF), Vol. 22, Pages 1-14, Springer, 3/2020.

  7. Niklas Bruns; Daniel Große; Rolf Drechsler

    Early Verification of ISA Extension Specifications Using Deep Reinforcement Learning

    In: 30th ACM Great Lakes Symposium on VLSI (GLSVLSI). ACM Great Lakes Symposium on VLSI (GLSVLSI-2020), Beijing, China, 2020.

  8. Mohamed Selim; Ahmet Firintepe; Alain Pagani; Didier Stricker

    AutoPOSE: Large-Scale Automotive Driver Head Pose and Gaze Dataset with Deep Head Pose Baseline

    In: International Conference on Computer Vision Theory and Applications (VISAPP). International Conference on Computer Vision Theory and Applications (VISAPP-2020), 15th, February 27-29, Valletta, Malta, SCITEPRESS Digital Library, 2020.

  9. Tewodros Amberbir Habtegebrial; Gerd Reis; Didier Stricker

    Deep Convolutional Networks For Snapshot Hyperspectral Demosaicking

    In: 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS-2019), located at 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), September 24-26, Amsterdam, Netherlands, ISBN Electronic ISBN: 978-1-7281-5294-3, IEEE, 9/2019.

  10. Mohsin Munir; Muhammad Ali Chattha; Sheraz Ahmed; Andreas Dengel

    A Comparative Analysis of Traditional and Deep Learning-based Anomaly Detection Methods for Streaming Data

    In: 18th IEEE International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications (ICMLA-2019), December 16-19, Boca Raton, Florida, USA, Pages 561-566, ISBN 978-1-7281-4550-1, IEEE, 12/2019.

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