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Jahr: 2019
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  1. Noshaba Cheema

    In Silico User Testing for Mid-Air Interactions with Deep Reinforcement Learning

    Mastersthesis, Saarland University, 9/2019.

  2. Noshaba Cheema

    Fine-Grained Semantic Segmentation of Motion Capture Data using Convolutional Neural Networks

    Mastersthesis, Saarland University, 3/2019.

  3. Hristina Uzunova; Sandra Schultz; Heinz Handels; Jan Ehrhardt

    Evaluation of Image Processing Methods for Clinical Applications

    In: Heinz Handels; Thomas M. Deserno; Andreas Maier; Klaus Hermann Maier-Hein; Christoph Palm; Thomas Tolxdorff (Hrsg.). Bildverarbeitung für die Medizin 2019. Workshop Bildverarbeitung für die Medizin (BVM-2019), March 17-19, Lübeck, Germany, Pages 15-20, ISBN 978-3-658-25326-4, Springer Fachmedien Wiesbaden, 2019.

  4. Hristina Uzunova; Sandra Schultz; Heinz Handels; Jan Ehrhardt

    Unsupervised pathology detection in medical images using conditional variational autoencoders

    In: International Journal of Computer Assisted Radiology and Surgery (IJCARS), Vol. 14, No. 3, Pages 451-461, Springer, 2019.

  5. Hristina Uzunova; Jan Ehrhardt; Timo Kepp; Heinz Handels

    Interpretable explanations of black box classifiers applied on medical images by meaningful perturbations using variational autoencoders

    In: Elsa D. Angelini; Bennett A. Landman (Hrsg.). Medical Imaging 2019: Image Processing. SPIE Medical Imaging, February 16-21, San Diego, CA, USA, Pages 264-271, Vol. 10949, SPIE, 2019.

  6. Hristina Uzunova; Jan Ehrhardt; Fabian Jacob; Alex Frydrychowicz; Heinz Handels

    Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images

    In: Dinggang Shen; Tianming Liu; Terry M. Peters; Lawrence H. Staib; Caroline Essert; Sean Zhou; Pew-Thian Yap; Ali Khan (Hrsg.). Medical Image Computing and Computer Assisted Intervention -- MICCAI 2019. Medical Image Computing and Computer Assisted Intervention (MICCAI-2019), October 13-17, Shenzhen, China, Pages 112-120, ISBN 978-3-030-32226-7, Springer International Publishing, 2019.

  7. Daniel Kondratyuk

    Multilingual Learning using Syntactic Multi-Task Training

    Mastersthesis, Institute of Formal and Applied Linguistics, 2019.

  8. Daniel Kondratyuk

    Cross-Lingual Lemmatization and Morphology Tagging with Two-Stage Multilingual BERT Fine-Tuning

    In: Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology. Workshop on Computational Research in Phonetics, Phonology, and Morphology (SIGMORPHON-2019), August 1-2, Florence, Italy, Pages 12-18, Association for Computational Linguistics, 8/2019.

  9. Daniel Kondratyuk; Milan Straka

    75 Languages, 1 Model: Parsing Universal Dependencies Universally

    In: Proceedings of the Conference on Empirical Methods in Natural Language Processing 2019. Conference on Empirical Methods in Natural Language Processing (EMNLP-2019), November 3-7, Hong Kong, China, Pages 2779-2795, ISBN 978-1-950737-90-1, Association for Computational Linguistics, Stroudsburg, PA, USA, 11/2019.

  10. Alexander Beuther; Peter Fettke

    Towards the Digital Transformation of Tax - Inductive Development of a Functional Reference Model for International Transfer Pricing

    In: 11th Annual Pre-ICIS 2019 Workshop on Accounting Information Systems (SIGASYS). International Conference on Information Systems (ICIS-2019), December 14, München, Germany, 2019.

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