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Publikationen

Zeige Ergebnisse 691 bis 700 von 13872.

  1. Andreas Weinand; Sachinkumar B. Mallikarjun; Christoph Lipps; Hans Dieter Schotten

    Multi-bit Secret Key Generation for LoRaWAN based 6G mMTC using Autoencoders

    In: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC-2024), September 2-5, Valencia, Spain, IEEE, 2024.

  2. Matthias Rüb; Jan Herbst; Oliver May; Ralf Irmer; Christoph Lipps; Hans Dieter Schotten

    Large Agent Models in Patient Care and Clinical Communication Infrastructure: Applications and Challenges

    In: 2024 IEEE 6th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA). International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA-2024), October 19-20, Hamburg, Germany, IEEE, 11/2024.

  3. Viacheslav Barkov; Jonas Schmidinger; Robin Gebbers; Martin Atzmueller

    An Efficient Model-Agnostic Approach for Uncertainty Estimation in Data-Restricted Pedometric Applications

    In: Proc. International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications (ICMLA-2024), Pages 1-8, IEEE, 2024.

  4. Jurgen van den Hoogen; Dan Hudson; Martin Atzmueller

    Graph Signal Processing (GSP) Unearths the Best Locations for Soil Moisture Sensors

    In: Proc. International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications (ICMLA-2024), Pages 1-6, IEEE, 2024.

  5. Nghia Duong-Trung; Xia Wang; Milos Kravcik

    BloomLLM: Large Language Models Based Question Generation Combining Supervised Fine-Tuning and Bloom’s Taxonomy

    In: Rafael Ferreira Mello; Nikol Rummel; Ioana Jivet; Gerti Pishtari; José A. Ruipérez Valiente (Hrsg.). Technology Enhanced Learning for Inclusive and Equitable Quality Education. European Conference on Technology Enhanced Learning (EC-TEL-2024), 19th European Conference on Technology Enhanced Learning, September 16-20, Krems, Austria, Pages 93-98, Lecture Notes in Computer Science (LNCS), Vol. 15160, ISBN 978-3-031-72311-7, Springer, Cham, 9/2024.

  6. Fabian Schmeisser; Andreas Dengel; Sheraz Ahmed

    Point-Based Weakly Supervised 2.5D Cell Segmentation

    In: Michael Wand; Kristina Malinovska; Jürgen Schmidhuber; Igor V. Tetko (Hrsg.). 33rd International Conference on Artificial Neural Networks Lugano, Switzerland, September 17–20, 2024 Proceedings, Part VIII. International Conference on Artificial Neural Networks (ICANN-2024), Springer, 2024.

  7. Mahta Bakhshizadeh; Heiko Maus; Andreas Dengel

    Using Semantic-based Adaptive Relevance Prediction to Enhance Entity Recommendation for Personal Knowledge Assistance

    In: Proceedings of the sixth Knowledge-aware and Conversational Recommender Systems Workshop. Knowledge-aware and Conversational Recommender Systems Workshop (KaRS-2024), October 18, Bari, Italy, Association for Computing Machinery, 2024.

  8. Ahmed Tawfik Aboukhadra; Jameel Malik; Nadia Robertini; Ahmed Elhayek; Didier Stricker

    ShapeGraFormer: GraFormer-Based Network for Hand-Object Reconstruction From a Single Depth Map

    In: IEEE Access (IEEE), Vol. 12, Pages 124021-124031, IEEE, 8/2024.

  9. Cicy Agnes; Wolfgang Maaß

    From Stateless to Adaptive: Dynamic Personalization for Conversational Language Models

    In: Women in Machine Learning Workshop (WiML 2024) at NeurIPS. Neural Information Processing Systems (NeurIPS-2024), Thirty-eighth Annual Conference on Neural Information Processing Systems, December 9-15, Vancouver, British Columbia, Canada, Women in Machine Learning Workshop (WiML 2024), 12/2024.

  10. Ahmed Anwar; Brian Moser; Dayananda Herurkar; Federico Raue; Vinit Heiste; Tatjana Legler; Andreas Dengel

    FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data

    In: 2nd Federated Learning Technologies and Applications Conference 2024. International Conference on Federated Learning Technologies and Applications (FLTA-2024), September 17-19, Valencia, Spain, IEEEXplore, 2024.

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