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Publikationen

Zeige Ergebnisse 1911 bis 1920 von 5314.

  1. Leo Sylvio Rüdian; Niels Pinkwart

    Do learners really have different preferences?

    In: International Conference on Advanced Learning Technologies (ICALT22). IEEE International Conference on Advanced Learning Technologies (ICALT-2022), July 1-4, Bucharest, Romania, ISBN 978-1-6654-9519-6, IEEE, 7/2022.

  2. N. Rzepka; K. Simbeck; H.-G. Müller; Niels Pinkwart

    An Online Controlled Experiment Design to Support the Transformation of Digital Learning towards Adaptive Learning Platforms

    In: Proceedings of the 14th International Conference on Computer Supported Education. International Conference on Computer Supported Education (CSEDU), April 22-24, Online, Pages 139-146, Vol. 2, ISBN 978-989-758-562-3, SciTePress, 2022.

  3. N. Rzepka; K. Simbeck; H.-G. Müller; Niels Pinkwart

    Adaptive Learning as a Service - A concept to extend digital learning platforms?

    In: Peter A. Henning; Michael Striewe; Matthias Wölfel (Hrsg.). DELFI 2022 - Die 20. Fachtagung Bildungstechnologien. e-Learning Conference of the German Computer Society (DeLFI-2022), September 12-14, Karlsruhe, Germany, Pages 237-238, Lecture Notes in Informatics (LNI), Vol. P-322, ISBN 978-3-88579-716-6, Gesellschaft für Informatik eV, Bonn, 2022.

  4. Benjamin Paaßen; Alexander Schulz; Terrence C. Stewart; Barbara Hammer

    Reservoir Memory Machines as Neural Computers

    In: Gouhei Tanaka; Claudio Gallicchio; Alessio Micheli; Juan-Pablo Ortega; Akira Hirose (Hrsg.). IEEE Transactions on Neural Networks and Learning Systems, Vol. 33, No. 6, Pages 2575-2585, IEEE, 2022.

  5. Benjamin Paaßen; Alexander Schulz; Barbara Hammer

    Reservoir Stack Machines

    In: Neurocomputing, Vol. 470, Pages 352-364, Elsevier, 2022.

  6. Lukas Struppek; Dominik Hintersdorf; Daniel Neider; Kristian Kersting

    Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash

    In: FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency. ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT-22), June 21-24, Seoul, Korea, Republic of, Pages 58-69, ISBN 978-1-4503-9352-2, ACM, 2022.

  7. Wolfgang Stammer; Marius Memmel; Patrick Schramowski; Kristian Kersting

    Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations

    In: IEEE/CVF Conference on Computer Vision and Pattern Recognition. International Conference on Computer Vision and Pattern Recognition (CVPR-2022), June 18-24, New Orleans, LA, USA, Pages 10307-10318, IEEE, 2022.

  8. Mei Ling Fang; Devendra Singh Dhami; Kristian Kersting

    DP-CTGAN: Differentially Private Medical Data Generation Using CTGANs

    In: Martin Michalowski; Syed Sibte Raza Abidi; Samina Abidi (Hrsg.). Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine. Conference on Artificial Intelligence in Medicine (AIME-2022), June 14-17, Halifax, NS, Canada, Pages 178-188, Lecture Notes in Computer Science, Vol. 13263, Springer, 2022.

  9. Lukas Struppek; Dominik Hintersdorf; Kristian Kersting

    The Biased Artist: Exploiting Cultural Biases via Homoglyphs in Text-Guided Image Generation Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2209.08891, Pages 0-10, arXiv, 2022.

  10. Dominik Hintersdorf; Lukas Struppek; Kristian Kersting

    CLIPping Privacy: Identity Inference Attacks on Multi-Modal Machine Learning Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2209.07341, Pages 0-10, arXiv, 2022.

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