Skip to main content Skip to main navigation

Publikationen

Zeige Ergebnisse 1311 bis 1320 von 15099.
  1. L. L. Schaberg; T. Kubiczek; N. Kolluru; Sabisan Santhakumaran; Roman Burkard; W. Mertin; F. Muckel; G. Bacher; A. L. Schall-Giesecke; D. Neumaier; Elsa Andrea Kirchner; J. C. Balzer; N. Benson

    First steps towards a chipless, passive THz-based epidermal electronics concept

    In: 2025 International Conference on Mobile and Miniaturized Terahertz Systems (ICMMTS). AAAI Fall Symposium (AAAI-2025), February 23-26, Dubai, IEEE, 2025.

  2. Neural Spatiotemporal Point Processes: Trends and Challenges

    In: Transactions on Machine Learning Research (TMLR), Vol. NA, Pages 1-27, JMLR, 11/2025.

  3. Christian Imenkamp; Joscha Grüger; Martin Kuhn; Christoph Matheja; Andrey Rivkin; Agnes Koschmider

    YAPNE: A Tool for Modeling and Automated Verification of Data Petri Nets

    In: Michael Arias Chaves; Henrik Leopold; Adriana Marotta; Manuel Resinas; Francesca Zerbato (Hrsg.). Proceedings of the ICPM Doctoral Consortium and Demo Track 2025 co-located with the 7th International Conference on Process Mining (ICPM 2025). International Conference on Process Mining (ICPM-2025), 7th International Conference on Process Mining (ICPM 2025), located at ICPM 2025, October 20-24, Montevideo, Uruguay, CEUR Workshop Proceedings, Vol. 4088, ISBN 1613-0073, CEUR-WS.org, 2025.

  4. Agnes Gruenerbl; Jan Spilski; Giulia Barbareschi; Kai Kunze; Passant ElAgroudy; Thomas Lachmann; Paul Lukowicz

    2nd International Workshop on Mobile Cognitive-Augmenting and Cognition-Altering Technologies (CAT) in Human-Centered AI

    In: Yomna Abdelrahman; Passant Elagroudy; Florian Alt (Hrsg.). Adjunct Proceedings of the 27th International Conference on Mobile Human-Computer Interaction. ACM International Conference on Mobile Human-Computer Interaction (MobileHCI-2025), September 21-25, Sharm El'Shei, Egypt, ACM, 2025.

  5. Mandala von Westenholz; Mika Patzelt; Tim Römer; Martin Atzmueller

    Generalizing Local Pattern Mining on Attributed Graphs using Simplicial Complex Abstraction

    In: Hocine Cherifi; Murat Donduran; Luis M. Rocha; Chantal Cherifi; Onur Varol (Hrsg.). Complex Networks & Their Applications XIII - Proceedings of The Thirteenth International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2024 - Volume 1. International Conference on Complex Networks and their Applications (COMPLEX NETWORKS-2024), December 10-12, Istanbul, Turkey, Pages 298-311, Studies in Computational Intelligence (SCI), Vol. 1187, Springer, 2025.

  6. Knowledge-Augmented Explainable and Interpretable Learning for Anomaly Detection and Diagnosis

    In: Pascal Hitzler; Abhilekha Dalal; Mohammad Saeid Mahdavinejad; Sanaz Saki Norouzi (Hrsg.). Handbook on Neurosymbolic AI and Knowledge Graphs. Pages 1-25, ISBN 9781643685786, IOS Press, 3/2025.

  7. Philipp Schlinge; Steffen Meinert; Martin Atzmueller

    Comprehensive evaluation of prototype neural networks

    In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. online, Pages 1-20, Springer, 2025.

  8. Andreas Schliebitz; Heiko Tapken; Martin Atzmueller

    An Empirical Study on Improving SimCLR's Nonlinear Projection Head Using Pretrained Autoencoder Embeddings

    In: Proc. IEEE International Conference on Tools with Artificial Intelligence (ICTAI). International Conference on Tools with Artificial Intelligence (AAAI SSS), Los Alamitos, CA, USA, Pages 1140-1146, IEEE Computer Society, 2025.

  9. Arnab Ghosh Chowdhury; Amos Smith; Martin Atzmueller

    Enhancing Convolutional Block Attention with Self-Attention on Agricultural Image Classification

    In: Proc. IEEE International Conference on Tools with Artificial Intelligence (ICTAI). International Conference on Tools with Artificial Intelligence (AAAI SSS), Los Alamitos, CA, USA, Pages 402-407, IEEE Computer Society, 2025.

  10. Steffen Meinert; Philipp Schlinge; Nils Strodthoff; Martin Atzmueller

    ProtoMask: Segmentation-Guided Prototype Learning

    In: Proc. IEEE International Conference on Tools with Artificial Intelligence (ICTAI). International Conference on Tools with Artificial Intelligence (AAAI SSS), Los Alamitos, CA, USA, Pages 881-888, IEEE Computer Society, 2025.