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Publications

Displaying results 1831 to 1840 of 14806.

  1. Farzad Nozarian; Shashank Agarwal; Farzaneh Rezaeianaran; Danish Shahzad; Atanas Poibrenski; Christian Müller; Philipp Slusallek

    Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection

    In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. CVPR Workshop on Learning with Limited Labelled Data for Image and Video Understanding (L3D-IVU-2023), located at 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 19, Vancouver, Canada, Pages 4981-4990, IEEE, 6/2023.

  2. Ankur Bhatt; Ko Watanabe; Andreas Dengel; Shoya Ishimaru

    Appearance-Based Gaze Estimation with Deep Neural Networks: From Data Collection to Evaluation

    In: International Journal of Activity and Behavior Computing, Vol. 2024, No. Issue 1, Pages 1-15, J-STAGE, 2023.

  3. Agnes Grünerbl; Kai Kunze; Thomas Lachmann; Jamie A Ward; Paul Lukowicz

    Ubicomp Tutorial - UbiCHAI - Experimental Methodologies for Cognitive Human Augmentation

    In: ISWC '23: Proceedings of the 2023 ACM International Symposium on Wearable Computers. International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-2023), UbiComp/ISWC '23, October 8-12, Cancun, Mexico, ISBN 979-8-4007-0199-3, ACM, 10/2023.

  4. Sourajyoti Datta; Muhammad Nabeel Asim; Andreas Dengel; Sheraz Ahmed

    NTpred: A robust and precise machine learning framework for in-silico identification of Tyrosine nitration sites in protein sequences

    In: Briefings in Functional Genomics, Vol. 18, Pages 1-17, Oxford University Press, 2023.

  5. Sriraam Natarajan; Saket Joshi; Baidya Nath Saha; Adam Edwards; Tushar Khot; Elizabeth Moody; Kristian Kersting; Christopher T. Whitlow; Joseph A. Maldjian

    A Machine Learning Pipeline for Three-Way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain

    In: 11th International Conference on Machine Learning and Applications. International Conference on Machine Learning (ICML-2012), December 12-15, Boca Raton, FL, USA, Pages 203-208, Vol. 1, IEEE, 2012.

  6. Zhao Xu; Kristian Kersting; Christian Bauckhage

    Efficient Learning for Hashing Proportional Data

    In: Mohammed Javeed Zaki; Arno Siebes; Jeffrey Xu Yu; Bart Goethals; Geoffrey I. Webb; Xindong Wu (Hrsg.). 12th IEEE International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2012), December 10-13, Brussels, Belgium, Pages 735-744, IEEE Computer Society, 2012.

  7. Christian Bauckhage; Kristian Kersting; Rafet Sifa; Christian Thurau; Anders Drachen; Alessandro Canossa

    How players lose interest in playing a game: An empirical study based on distributions of total playing times

    In: 2012 IEEE Conference on Computational Intelligence and Games. IEEE Conference on Computational Intelligence and Games (CIG-2012), September 11-14, Granada, Spain, Pages 139-146, IEEE, 2012.

  8. Kristian Kersting; Zhao Xu; Mirwaes Wahabzada; Christian Bauckhage; Christian Thurau; Christoph Römer; Agim Ballvora; Uwe Rascher; Jens Leon; Lutz Plümer

    Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images

    In: Jörg Hoffmann; Bart Selman (Hrsg.). Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-2012), July 22-26, Toronto, Ontario, Canada, Pages 302-308, AAAI Press, 2012.

  9. Christian Bauckhage; Kristian Kersting; Albrecht Schmidt

    Agriculture's Technological Makeover

    In: IEEE Pervasive Computing, Vol. 11, No. 2, Pages 4-7, IEEE, 2012.

  10. Tobias Lang; Marc Toussaint; Kristian Kersting

    Exploration in relational domains for model-based reinforcement learning

    In: Journal of Machine Learning Research, Vol. 13, Pages 3725-3768, JMLR, 2012.

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