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Publikationen

Zeige Ergebnisse 1441 bis 1450 von 14744.

  1. Daniil Gurgurov; Mareike Hartmann; Simon Ostermann

    Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via Adapters

    In: Russa Biswas; Lucie-Aimée Kaffee; Oshin Agarwal; Pasquale Minervini; Sameer Singh; Gerard de Melo (Hrsg.). Proceedings of the 1st Workshop on Knowledge Graphs and Large Language Models (KaLLM 2024). Workshop on Knowledge Graphs and Large Language Models (KaLLM-2024), August 15, Bangkok, Thailand, Pages 63-74, Association for Computational Linguistics, 2024.

  2. Jan-Tilman Seipp; David Reuschenberg; Eren Özveren; Matthias Meyer; Felix Köhler; Leonhard Hennig; David Harbecke; Phuc Tran Truong

    Deep Learning-based Text Mining for Technology Monitoring in the Automotive Domain

    In: Proceedings of GTM 2024. Global TechMining Conference, September 16-17, Berlin, Germany, Global TechMining Conference, 2024.

  3. Pratyush Agnihotri; Boris Koldehofe; Roman Heinrich; Carsten Binnig; Manisha Luthra

    PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing

    In: 16th TPC Technology Conference on Performance Evaluation & Benchmarking. TPC Technology Conference (TPCTC-2024), 50th International Conference on Very Large Databases, located at TPCTC, August 26-31, Guangzhou, China, Springer, 2024.

  4. Christiane Rudolph; Sebastian Germer; Alice Nennecke; Henrik Kusche; Louisa Labohm; Natalie Rath; Katharina Rausch; Bernd Holleczek; Heinz Handels; Alexander Katalinic

    Künstliche Intelligenz (KI) in der Krebsregistrierung: Methoden, Herausforderungen und erste Ergebnisse des AI-Care-Datensatzes

    Jahrestagung der Deutschen Gesellschaft für Epidemiologie (DGEpi) 2024, German Medical Science GMS Publishing House, 2024.

  5. Sebastian Germer; Christiane Rudolph; Louisa Labohm; Alexander Katalinic; Natalie Rath; Katharina Rausch; Bernd Holleczek; AI-Care Working Group; Heinz Handels

    Survival analysis for lung cancer patients: A comparison of Cox regression and machine learning models

    In: International Journal of Medical Informatics (IJMEDI), Vol. 191, Pages 105607-105607, Elsevier, 8/2024.

  6. Sungho Suh; Vitor Fortes Rey; Paul Lukowicz

    Wearable Sensor-Based Human Activity Recognition for Worker Safety in Manufacturing Line

    In: John Soldatos. Artificial Intelligence in Manufacturing: Enabling Intelligent, Flexible and Cost-Effective Production Through AI. Pages 303-317, ISBN 978-3-031-46452-2, Springer Nature Switzerland, Cham, 2024.

  7. Tae Yeob Kang; Haebom Lee; Sungho Suh

    An Empirical Study on Fault Detection and Root Cause Analysis of Indium Tin Oxide Electrodes by Processing S-Parameter Patterns

    In: IEEE Transactions on Device and Materials Reliability, Vol. 24, No. 3, Pages 380-389, IEEE, 6/2024.

  8. Hyungmin Kim; Sungho Suh; Sunghyun Baek; Daehwan Kim; Daun Jeong; Hansang Cho; Junmo Kim

    AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation

    In: Knowledge-Based Systems (KBS), Vol. 293, Page 111692, Elsevier, 2024.

  9. Parham Zolfaghari; Vitor Fortes Rey; Lala Ray; Hyun Kim; Sungho Suh; Paul Lukowicz

    Sensor Data Augmentation from Skeleton Pose Sequences for Improving Human Activity Recognition

    In: 2024 International Conference on Activity and Behavior Computing (ABC). International Conference on Activity and Behavior Computing (ABC-2024), Pages 1-8, IEEE, 2024.

  10. Hyungmin Kim; Donghun Kim; Pyunghwan Ahn; Sungho Suh; Hansang Cho; Junmo Kim

    ContextMix: A context-aware data augmentation method for industrial visual inspection systems

    In: International Journal Engineering Applications of Artificial Intelligence (EAAI), Vol. 131, Page 107842, Elsevier, 2024.

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