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Publikationen

Zeige Ergebnisse 1011 bis 1020 von 13867.

  1. Veronika Kurchyna; Stephanie Fendrich; Ye Eun Bae; Patrick Mertes; Philipp Flügger; Jan Ole Berndt; Ingo Timm

    Seeing Through the Smoke: An Agent Architecture for Representing Health Protection Motivation Under Social Pressure

    In: Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART. International Conference on Agents and Artificial Intelligence (ICAART-2024), February 24-26, Rome, Italy, Pages 315-325, ISBN 978-989-758-680-4, SciTePress, 2024.

  2. 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.

  3. 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.

  4. Qianli Wang; Tatiana Anikina; Nils Feldhus; Simon Ostermann; Sebastian Möller

    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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. Peter Pfeiffer; Peter Fettke

    Trace vs. Time: Entropy Analysis and Event Predictability of Traceless Event Sequencing

    In: Andrea Marrella; Manuel Resinas; Mieke Jans; Michael Rosemann (Hrsg.). Business Process Management Forum. Business Process Management (BPM-2024), Cham, Pages 72-89, ISBN 978-3-031-70418-5, Springer Nature Switzerland, 2024.

  10. Faraz Ahmad; Tom Creutz; Christian Ernst Siegfried Koch; Bilal Wehbe

    A Deep-Learning Approach for Visual Detection of an AUV Docking Station

    In: Proceedings of Oceans 2024. OCEANS MTS/IEEE Conference (OCEANS-2024), Halifax, September 23-26, Halifax, Canada, IEEE, 2024.

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