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Publikationen

Zeige Ergebnisse 601 bis 610 von 13730.

  1. Pervaiz Khan; Muhammad Nabeel Asim; Andreas Dengel; Sheraz Ahmed

    A Unique Training Strategy to Enhance Language Models Capabilities for Health Mention Detection from Social Media Content

    In: Proceedings of ICAART 2024. International Conference on Agents and Artificial Intelligence (ICAART-2024), February 24-26, Rome, Italy, SCITEPRESS, 2024.

  2. Pervaiz Khan; Adread Dengel; Sheraz Ahmed

    Medi-CAT: Contrastive Adversarial Training for Medical Image Classification

    In: Proceedings of ICAART 2024. International Conference on Agents and Artificial Intelligence (ICAART-2024), February 24-26, Rome, Italy, SCITEPRESS, 2024.

  3. Daniel Geißler; Bo Zhou; Mengxi Liu; Sungho Suh; Paul Lukowicz

    The Power of Training: How Different Neural Network Setups Influence the Energy Demand

    In: ARCS 2024: International Conference on Architecture of Computing Systems. International Conference on Architecture of Computing Systems (ARCS), HPC - Challenges for Sustainable Computing, Springer, 2024.

  4. Francisco Mena; Diego Arenas; Marlon Nuske; Andreas Dengel

    Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications

    In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), Vol. 17, Pages 4797-4818, IEEE GRSS, IEEE, 2/2024.

  5. Wei Jiang; Hans Dieter Schotten

    Hierarchical Cell-Free Massive MIMO for High Capacity with Simple Implementation

    In: 2024 IEEE International Conference on Communications. IEEE International Conference on Communications (ICC-2024), June 9-13, Denver, USA, IEEE, 6/2024.

  6. Simon Häring; Sophie Folawiyo; Mariia Podguzova; Stephan Krauß; Didier Stricker

    Vid2Cuts: A Framework for Enabling AI-Guided Grapevine Pruning

    In: IEEE Access (IEEE), Vol. 12, Pages 5814-5836, IEEE, 1/2024.

  7. Stefan Bloemheuvel; Jurgen van den Hoogen; Martin Atzmueller

    Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches

    In: International Journal of Data Science and Analytics, Vol. 18, No. 2, Pages 157-174, Springer, 2024.

  8. Mark Niemeyer; Marian Renz; Maren Pukrop; David Hagemann; Tim Zurheide; Daniel Di Marco; Markus Höferlin; Philipp Stark; Florian Rahe; Matthias Igelbrink; Mario Jenz; Thomas Jarmer; Dieter Trautz; Stefan Stiene; Joachim Hertzberg

    Cognitive Weeding: An Approach to Single-Plant Specific Weed Regulation

    In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. 37, Pages 175-181, Springer, 1/2024.

  9. Malte Luttermann; Mattis Hartwig; Tanya Braun; Ralf Möller; Marcel Gehrke

    Lifted Causal Inference in Relational Domains

    In: Proceedings of the Third Conference on Causal Learning and Reasoning (CLeaR-24). Conference on Causal Learning and Reasoning (CLeaR-2024), April 1-3, Los Angeles, CA, USA, Pages 827-842, Vol. 236, PMLR, 5/2024.

  10. Sogo Pierre Sanon; Rekha Reddy; Christoph Lipps (Hrsg.)

    DDoS Attacks in Communication: Analysis and Mitigation of Unreliable Clients in Federated Learning

    IEEE Consumer Communications and Networking Conference (CCNC-2024), January 6-9, NV, USA, IEEE, 2/2024.

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