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Year: 2022
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Displaying results 1 to 10 of 802.

  1. Judith Bütefür; Elsa Andrea Kirchner

    Influence between Motor Learning and Cognitive Workload in Microgravity.

    In: 4th International Technology Transfer Exhibition and Conference "New Space Economy (NSE)". International Technology Transfer Exhibition and …

  2. Julia Habenicht; Elsa Andrea Kirchner

    Serious Games as a Training Method for Fine Motor Movements in Microgravity.

    In: 4th International Technology Transfer Exhibition and Conference "New Space Economy (NSE)". International Technology Transfer Exhibition and …

  3. Xiaoqi Li; Haoyuan Chen; Chen Li; Md Mamunur Rahaman; Xintong Li; Jian Wu; Xiaoyan Li; Hongzan Sun; Marcin Grzegorzek

    What can machine vision do for lymphatic histopathology image analysis: A comprehensive review

    In: ArXiv e-prints (arxiv), Vol. 2201.08550, arXiv, 2022.

  4. Bilal Wehbe; Nimish Shrenik Shah; Miguel Bande Firvida; Christian Backe

    Sonar-to-RGB Image Translation for Diver Monitoring in Poor Visibility Environments

    In: OCEANS 2022, Hampton Roads. OCEANS MTS/IEEE Conference (OCEANS-2022), October 17-20, Pages 1-9, OCEANS IEEE, 10/2022.

  5. Aidmar Wainakh; Fabrizio Ventola; Till Müßig; Jens Keim; Carlos Garcia Cordero; Ephraim Zimmer; Tim Grube; Kristian Kersting; Max Mühlhäuser

    User-Level Label Leakage from Gradients in Federated Learning

    In: Proceedings on Privacy Enhancing Technologies (PoPETs), Vol. 2022, No. 2, Pages 227-244, De Gruyter, 2022.

  6. Patrick Schramowski; Cigdem Turan; Nico Andersen; Constantin A. Rothkopf; Kristian Kersting

    Large pre-trained language models contain human-like biases of what is right and wrong to do

    In: Nature Machine Intelligence, Vol. 4, No. 3, Pages 258-268, Springer, 2022.

  7. Parisa Kordjamshidi; Dan Roth; Kristian Kersting

    Declarative Learning-Based Programming as an Interface to AI Systems

    In: Frontiers in Artificial Intelligence, Vol. 5, Pages 0-10, Frontiers, 2022.

  8. Ahmed Abadulla Ashlam; Atta Badii; Frederic Theodor Stahl

    Multi-Phase Algorithmic Framework to Prevent SQL Injection Attacks using Improved Machine learning and Deep learning to Enhance Database security in Real-time

    In: 2022 15th International Conference on Security of Information and Networks (SIN). International Conference on Security of Information and Networks …

  9. Ahmed Abdulla Ashlam; Atta Badii; Frederic Theodor Stahl

    WebAppShield: An Approach Exploiting Machine Learning to Detect SQLi Attacks in an Application Layer in Run-Time

    In: World Academy of Science, Engineering and Technology - International Journal of Computer and Information Engineering, Vol. 16, No. 8, Pages 1-9, …

  10. Stefan Bloemheuvel; Jurgen van den Hoogen; Dario Jozinovic; Alberto Michelini; Martin Atzmueller

    Rapid prediction of ground shaking intensity with Graph Neural Networks

    In: Proceedings of the Third European Conference on Earthquake Engineering and Seismology -- 3ECEES. European Conference on Earthquake Engineering and …

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