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Year: 2021
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Displaying results 21 to 30 of 675.

  1. Rémi Calizzano; Malte Ostendorff; Georg Rehm

    DFKI SLT at GermEval 2021: Multilingual Pre-training and Data Augmentation for the Classification of Toxicity in Social Media Comments

    In: Julian Risch; Anke Stoll; Lena Wilms; Michael Wiegand (Hrsg.). Proceedings of the GermEval Workshop 2021 -- Shared Task on Toxic, Engaging and …

  2. Patrick Trampert; Dmitri Rubinstein; Faysal Boughorbel; Christian Schlinkmann; Maria Luschkova; Philipp Slusallek; Tim Dahmen; Stefan Sandfeld

    Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling

    In: Paolo Olivero (Hrsg.). Crystals, Vol. 11, No. 258, Pages 1-13, MDPI, 3/2021.

  3. Katarzyna Biernacka; Kerstin Helbig; Petra Buchholz

    Adaptable Methods for Training in Research Data Management

    Humboldt-Universität zu Berlin, Humboldt-Universität zu Berlin, Berlin, 4/2021.

  4. Katarzyna Biernacka; Niels Pinkwart

    Opportunities for Adopting Open Research Data in Learning Analytics

    In: Ana Azevedo; José Manuel Azevedo; James Onohuome Uhomoibhi; Ebba Ossiannilsson (Hrsg.). Advancing the Power of Learning Analytics and Big Data in …

  5. Prerna Garg; Jayasankar Santhosh; Andreas Dengel; Shoya Ishimaru

    Stress Detection by Machine Learning and Wearable Sensors

    In: 26th International Conference on Intelligent User Interfaces - Companion. International Conference on Intelligent User Interfaces (IUI), New York, …

  6. Christian Backe; Miguel Bande Firvida; Stefan Werner; Christian Wiezorek

    Adaptive in-situ forecasting for demand-side management in low voltage power grids

    In: Christian Backe; Miguel Bande Firvida (Hrsg.). Adaptive in-situ forecasting for demand-side management in low voltage power grids. IEEE …

  7. Julien Brosseit; Benedikt Hahner; Fabio Muratore; Michael Gienger; Jan Peters

    Distilled Domain Randomization

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2112.03149, Pages 0-10, arXiv, 2021.

  8. Hany Abdulsamad; Jan Peters

    Model-Based Reinforcement Learning for Stochastic Hybrid Systems

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2111.06211, Pages 0-10, arXiv, 2021.

  9. Michael Lutter; Johannes Silberbauer; Joe Watson; Jan Peters

    A Differentiable Newton-Euler Algorithm for Real-World Robotics

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2110.12422, Pages 0-10, arXiv, 2021.

  10. Stefan Bauer; Felix Widmaier; Manuel Wüthrich; Niklas Funk; Julen Urain De Jesus; Jan Peters; Joe Watson; Claire Chen; Krishnan Srinivasan; Junwu Zhang; Jeffrey Zhang; Matthew R. Walter; Rishabh Madan; Charles B. Schaff; Takahiro Maeda; Takuma Yoneda; Denis Yarats; Arthur Allshire; Ethan K. Gordon; Tapomayukh Bhattacharjee; Siddhartha S. Srinivasa; Animesh Garg; Annika Buchholz; Sebastian Stark; Thomas Steinbrenner; Joel Akpo; Shruti Joshi; Vaibhav Agrawal; Bernhard Schölkopf

    A Robot Cluster for Reproducible Research in Dexterous Manipulation

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2109.10957, Pages 0-10, arXiv, 2021.

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