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Publikationen

Zeige Ergebnisse 31 bis 40 von 540
  1. Shuo Yang; Kristian Kersting; Greg Terry; Jefferey Carr; Sriraam Natarajan

    Modeling Coronary Artery Calcification Levels from Behavioral Data in a Clinical Study

    In: John H. Holmes; Riccardo Bellazzi; Lucia Sacchi; Niels Peek (Hrsg.). Artificial Intelligence in Medicine - 15th Conference on Artificial …

  2. Rafet Sifa; Fabian Hadiji; Julian Runge; Anders Drachen; Kristian Kersting; Christian Bauckhage

    Predicting Purchase Decisions in Mobile Free-to-Play Games

    In: Arnav Jhala; Nathan R. Sturtevant (Hrsg.). Proceedings of the Eleventh AAAI Conference on Artificial Intelligence and Interactive Digital …

  3. Fabian Hadiji; Alejandro Molina; Sriraam Natarajan; Kristian Kersting

    Poisson Dependency Networks: Gradient Boosted Models for Multivariate Count Data

    In: Machine Learning, Vol. 100, No. 2-3, Pages 477-507, Springer, 2015.

  4. Marion Neumann; Shan Huang; Daniel E. Marthaler; Kristian Kersting

    pyGPs: a Python library for Gaussian process regression and classification

    In: Journal of Machine Learning Research, Vol. 16, Pages 2611-2616, JMLR, 2015.

  5. Mirwaes Wahabzada; Stefan Paulus; Kristian Kersting; Anne-Katrin Mahlein

    Automated interpretation of 3D laserscanned point clouds for plant organ segmentation

    In: BMC Bioinformatics, Vol. 16, Pages 248:1-248:11, BioMed Central, 2015.

  6. Jan Peters; Justus H. Piater; Robert Platt Jr.; Siddhartha S. Srinivasa

    Multimodal Manipulation Under Uncertainty (Dagstuhl Seminar 15411)

    In: Dagstuhl Reports, Vol. 5, No. 10, Pages 1-18, Dagstuhl, 2015.

  7. Filipe Veiga; Herke van Hoof; Jan Peters; Tucker Hermans

    Stabilizing novel objects by learning to predict tactile slip

    In: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems …

  8. Simon Manschitz; Jens Kober; Michael Gienger; Jan Peters

    Learning movement primitive attractor goals and sequential skills from kinesthetic demonstrations

    In: Robotics and Autonomous Systems (RAS), Vol. 74, Pages 97-107, Elsevier, 2015.

  9. Elmar Rueckert; Rudolf Lioutikov; Roberto Calandra; Marius Schmidt; Philipp Beckerle; Jan Peters

    Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1510.03253, Pages 0-10, arXiv, 2015.

  10. Serena Ivaldi; Sébastien Lefort; Jan Peters; Mohamed Chetouani; Joelle Provasi; Elisabetta Zibetti

    Towards engagement models that consider individual factors in HRI: on the relation of extroversion and negative attitude towards robots to gaze and speech during a human-robot assembly task

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1508.04603, Pages 0-10, arXiv, 2015.