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Publications

Displaying results 321 to 330 of 581.

  1. Hristina Uzunova; Jesse Kruse; Paul Kaftan; Matthias Wilms; Nils D Forkert; Heinz Handels; Jan Ehrhardt

    Analysis of Generative Shape Modeling Approaches: Latent Space Properties and Interpretability

    In: Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021. Workshop Bildverarbeitung für die Medizin (BVM-2021), March 7-9, Regensburg, Germany, Pages 344-349, Springer, 2021.

  2. Noshaba Cheema

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

    Mastersthesis, Saarland University, 9/2019.

  3. Hristina Uzunova; Paul Kaftan; Matthias Wilms; Nils D. Forkert; Heinz Handels; Jan Ehrhardt

    Quantitative Comparison of Generative Shape Models for Medical Images

    In: Thomas Tolxdorff; Thomas M. Deserno; Heinz Handels; Andreas Maier; Klaus H. Maier-Hein; Christoph Palm (Hrsg.). Bildverarbeitung für die Medizin 2020. Workshop Bildverarbeitung für die Medizin (BVM-2020), March 15-17, Berlin, Germany, Pages 201-207, ISBN 978-3-658-29267-6, Springer Fachmedien Wiesbaden, 2020.

  4. Viktor Eisenstadt; Hardik Arora; Christoph Ziegler; Jessica Bielski; Christoph Langenhan; Klaus-Dieter Althoff; Andreas Dengel

    Exploring optimal ways to represent topological and spatial features of building designs in deep learning methods and applications for architecture

    In: CAADRIA 2021 Proceedings. International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA-2021), March 29 - April 1, Hong Kong/Virtual, Hong Kong, Cumincad, 2021.

  5. Dominic Neu; Johannes Lahann; Peter Fettke

    A systematic literature review on state-of-the-art deep learning methods for process prediction

    In: Artificial Intelligence Review, Vol. Online, Springer Nature, 3/2021.

  6. Saadullah Amin; Günter Neumann

    T2NER: Transformers based Transfer Learning Framework for Named Entity Recognition

    In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations. Conference of the European Chapter of the Association for Computational Linguistics (EACL-2021), System Demonstrations, April 19-23, Kyiv/Virtual, Ukraine, Pages 212-220, Association for Computational Linguistics (ACL), 4/2021.

  7. Ahmet Firintepe; Carolin Vey; Stylianos Asteriadis; Alain Pagani; Didier Stricker

    From IR Images to Point Clouds to Pose: Point Cloud-Based AR Glasses Pose Estimation

    In: Nadia Magnenat Thalmann (Hrsg.). Journal of Imaging, Vol. 7, No. 80, Pages 1-18, MDPI, 4/2021.

  8. Daan Wierstra; Alexander Förster; Jan Peters; Jürgen Schmidhuber

    Solving Deep Memory POMDPs with Recurrent Policy Gradients

    In: Joaquim Marques de Sá; Luís A. Alexandre; Wlodzislaw Duch; Danilo P. Mandic (Hrsg.). Artificial Neural Networks - ICANN 2007, 17th International Conference, Proceedings. International Conference on Artificial Neural Networks (ICANN-2007), September 9-13, Porto, Portugal, Pages 697-706, Lecture Notes in Computer Science, Vol. 4668, Springer, 2007.

  9. Vignesh Prasad; Dorothea Koert; Ruth Stock-Homburg; Jan Peters; Georgia Chalvatzaki

    MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction

    In: 21st IEEE-RAS International Conference on Humanoid Robots. IEEE-RAS International Conference on Humanoid Robots (Humanoids-2022), November 28-30, Ginowan, Japan, Pages 472-479, IEEE, 2022.

  10. Carlo D'Eramo; Andrea Cini; Alessandro Nuara; Matteo Pirotta; Cesare Alippi; Jan Peters; Marcello Restelli

    Gaussian Approximation for Bias Reduction in Q-Learning

    In: Journal of Machine Learning Research, Vol. 22, Pages 277:1-277:51, JMLR, 2021.

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