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Publikationen

Zeige Ergebnisse 281 bis 290 von 13653.
  1. 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.

  2. 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.

  3. CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems

    In: Yaser Al-Onaizan; Mohit Bansal; Yun-Nung (Vivian) Chen (Hrsg.). Findings of the Association for Computational Linguistics: EMNLP 2024. Conference on Empirical Methods in Natural Language Processing (EMNLP-2024), November 11-16, Miami, Florida, USA, Association for Computational Linguistics, 2024.

  4. David Kaub; Christian Lohr; Anelyse Reis David; Monotosch Kumar Das Chandan; Hilal Chanekar; Tung Nguyen; Jan Ole Berndt; Ingo J. Timm

    Shortest-Path-Based Resilience Analysis of Urban Road Networks

    In: Michael Freitag; Aseem Kinra; Herbert Kotzab; Megow Nicole (Hrsg.). Dynamics in Logistics. International Conference on Dynamics in Logistics (LDIC-2024), located at 9th International Conference LDIC 2024, February 14-16, Bremen, Germany, Pages 132-143, Lecture Notes in Logistics (LNL), ISBN 978-3-031-56825-1, Springer, Cham, 4/2024.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.