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Publikationen

Zeige Ergebnisse 3161 bis 3170 von 15019.

  1. 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.

  2. 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.

  3. 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.

  4. Parisa Kordjamshidi; Dan Roth; Kristian Kersting

    Declarative Learning-Based Programming as an Interface to AI Systems

    In: Frontiers in Artificial Intelligence, Vol. 5, Pages 1-10, Frontiers, 2022.

  5. 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.

  6. Mareike Hartmann; Han Du; Nils Feldhus; Ivana Kruijff-Korbayová; Daniel Sonntag

    XAINES: Explaining AI with Narratives

    In: Ute Schmid; Britta Wrede (Hrsg.). KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. 36, Pages 287-296, Springer, 12/2022.

  7. Timur Sattarov; Dayananda Herurkar; Jörn Hees

    Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data

    arXiv, 9/2022.

  8. Yuxuan Chen; Jonas Mikkelsen; Arne Björn Binder; Christoph Alt; Leonhard Hennig

    A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition

    In: Proceedings of the 7th Workshop on Representation Learning for NLP (ACL-REPL4NLP 2022). ACL Workshop on Representation Learning for NLP (RepL4NLP-2022), located at ACL 2022, May 22-27, Dublin, Ireland, ACL, 5/2022.

  9. Chandan Jha; Alireza Mahzoon; Rolf Drechsler

    Investigating Various Adder Architectures for Digital In-Memory Computing Using MAGIC-based Memristor Design Style

    In: 6th International Conference on Emerging Electronics (ICEE). IEEE International Conference on Engineering and Emerging Technologies (ICEET), December 11-14, Bangalore, India, 2022.

  10. Steffen Planthaber; Daniel Kuehn; Kerstin Rohde; Christian Hartberger

    From telepresence to autonomous systems

    In: at - Automatisierungstechnik, Vol. 70, No. 10, Pages 912-917, De Gruyter Wissenschaftsverlag, 10/2022.

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