Skip to main content Skip to main navigation

Publikationen

Zeige Ergebnisse 1421 bis 1430 von 14529.

  1. Dongfang Xu; Guillermo Garcia; Lisa Raithel; Philippe Thomas; Roland Roller; Eiji Aramaki; Shoko Wakamiya; Shuntaro Yada; Pierre Zweigenbaum; Karen O'Connor; Sai Samineni; Sophia Hernandez; Yao Ge; Swati Rajwal; Sudeshna Das; Abeed Sarker; Ari Klein; Ana Schmidt; Vishakha Sharma; Raul Rodriguez-Esteban; Juan Banda; Ivan Amaro; Davy Weissenbacher; Graciela Gonzalez-Hernandez

    Overview of the 9th Social Media Mining for Health Applications (#SMM4H) Shared Tasks at ACL 2024 -- Large Language Models and Generalizability for Social Media NLP

    In: Dongfang Xu; Graciela Gonzalez-Hernandez (Hrsg.). Proceedings of The 9th Social Media Mining for Health Research and Applications (SMM4H 2024) Workshop and Shared Tasks. Social Media Mining for Health Research and Applications Workshop (SMM4H-2024), located at ACL 2024, August 15, Bangkok, Thailand, Pages 183-195, Association for Computational Linguistics, 2024.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  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. 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.

  10. Davinder Pal Singh; Lala Ray; Bo Zhou; Sungho Suh; Paul Lukowicz

    A Novel Local-Global Feature Fusion Framework for Body-Weight Exercise Recognition with Pressure Mapping Sensors

    In: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). International Conference on Acoustics, Speech and Signal Processing (ICASSP-2024), Pages 6375-6379, IEEE, 2024.

Jahr

Mehr Optionen