Skip to main content Skip to main navigation

Publications

Displaying results 371 to 380 of 14852.

  1. Johannes Wirth; Jaco A. Hofmann; Lasse Thostrup; Carsten Binnig; Andreas Koch

    Scalable and Flexible High-Performance In-Network Processing of Hash Joins in Distributed Databases

    In: International Conference on Field-Programmable Technology, FPT 2021, Auckland, New Zealand, December 6-10, 2021. International Conference on Field Programmable Technology (FPT), Pages 1-9, IEEE, 2021.

  2. Muhammad El-Hindi; Zheguang Zhao; Carsten Binnig

    ACID-V: Towards a New Class of DBMSs for Data Sharing

    In: El Kindi Rezig; Vijay Gadepally; Timothy G. Mattson; Michael Stonebraker; Tim Kraska; Fusheng Wang; Gang Luo; Jun Kong; Alevtina Dubovitskaya (Hrsg.). Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2021 and DMAH 2021, Revised Selected Papers. Workshop on Data Management and Analytics for Medicine and Healthcare and Workshop on Polystore Systems for Heterogeneous Data in Multiple Databases with Privacy and Security Assurances (DMAH/Poly-2021), located at VLDB 2021, August 20, Pages 60-64, Lecture Notes in Computer Science (LNCS), Vol. 12921, ISBN 978-3-030-93663-1, Springer, 2021.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

Year

More options