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Year: 2023
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Displaying results 21 to 30 of 313.

  1. Robert Oehring; Nikitha Ramasetti; Sharlyn Ng; Roland Roller; Philippe Thomas; Axel Winter; Max Maurer; Simon Moosburner; Nathanael Raschzok; Can Kamali; Johann Pratschke; Christian Benzing; Felix Krenzien

    Use and accuracy of decision support systems using artificial intelligence for tumor diseases: a systematic review and meta-analysis

    In: Frontiers in Oncology, Vol. 13, Pages 1-14, Frontiers Media SA, 2023.

  2. Timo Markert; Elias Hoerner; Sebastian Matich; Andreas Theissler; Martin Atzmueller

    Robotic Peg-in-Hole Insertion with Tight Clearances: A Force-based Deep Q-Learning Approach

    In: 2023 International Conference on Machine Learning and Applications (ICMLA). International Conference on Machine Learning and Applications (ICMLA), …

  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), …

  4. Hayit Greenspan; Anant Madabhush; Parvin Mousavi; Septimiu Salcudean; James Duncan; Tanveer Syeda-Mahmood; Russell Taylor (Hrsg.)

    MICCAI

    Medical Image Computing and Computer Assisted Intervention (MICCAI-2023), located at 26th International Conference on Medical Image Computing and …

  5. 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 …

  6. 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.

  7. 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 …

  8. 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.

  9. 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, …

  10. 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.

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