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Displaying results 1081 to 1090 of 13670.

  1. Jens Behley; Kristian Kersting; Dirk Schulz; Volker Steinhage; Armin B. Cremers

    Learning to hash logistic regression for fast 3D scan point classification

    In: 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2010), October 18-22, Taipei, Taiwan, Province of China, Pages 5960-5965, IEEE, 2010.

  2. Sriraam Natarajan; Gautam Kunapuli; Kshitij Judah; Prasad Tadepalli; Kristian Kersting; Jude W. Shavlik

    Multi-Agent Inverse Reinforcement Learning

    In: Sorin Draghici; Taghi M. Khoshgoftaar; Vasile Palade; Witold Pedrycz; M. Arif Wani; Xingquan Zhu (Hrsg.). The Ninth International Conference on Machine Learning and Applications. International Conference on Machine Learning (ICML-2010), December 12-14, USA, Pages 395-400, IEEE Computer Society, 2010.

  3. Ho Minh Duy Nguyen; Hoang Nguyen; Nghiem T. Diep; Tan Pham; Tri Cao; Binh T. Nguyen; Paul Swoboda; Nhat Ho; Shadi Albarqouni; Pengtao Xie; Daniel Sonntag; Mathias Niepert

    LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching

    In: The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023). Neural Information Processing Systems (NeurIPS), December 10-16, USA, Advances in Neural Information Processing Systems, 12/2023.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. Ahtisham Fazeel Abbasi; Muhammad Nabeel Asim; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    Deep Learning Architectures For the Prediction of YY1-Mediated Chromatin Loops

    In: Xuan Guo; Serghei Mangul; Murray Patterson; Alexander Zelikovsky (Hrsg.). Bioinformatics Research and Applications, 19th International Symposium, ISBRA 2023, Proceedings. International Symposium on Bioinformatics Research and Applications (ISBRA-2023), October 9-12, Wroclaw, Poland, Pages 72-84, Lecture Notes in Computer Science (LNC), Vol. 14248, ISBN 978-981-99-7073-5, Springer, 2023.

  9. Faiza Mehmood; Rehab Shahzadi; Hina Ghafoor; Muhammad Nabeel Asim; Muhammad Usman Ghani; Waqar Mahmood; Andreas Dengel

    EnML: Multi-label Ensemble Learning for Urdu Text Classification

    In: ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 22, Pages 1-31, ACM, 9/2023.

  10. Adriano Lucieri; Andreas Dengel; Sheraz Ahmed

    Translating theory into practice: assessing the privacy implications of concept-based explanations for biomedical AI

    In: Juan Guillermo Diaz Ochoa (Hrsg.). Frontiers in Bioinformatics, Vol. 3, Pages 1-19, Frontiers Media SA, 7/2023.

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