Annotation of Real-World Data for Artificial Intelligence Systems: 9th International Workshop, ARDUOUS 2025, Bologna, Italy, October 25–26, 2025, Proceedings

Author:   Emma L. Tonkin ,  Gregory J. L. Tourte ,  Kristina Yordanova
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032091161


Pages:   203
Publication Date:   24 October 2025
Format:   Paperback
Availability:   In Print   Availability explained
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Annotation of Real-World Data for Artificial Intelligence Systems: 9th International Workshop, ARDUOUS 2025, Bologna, Italy, October 25–26, 2025, Proceedings


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Author:   Emma L. Tonkin ,  Gregory J. L. Tourte ,  Kristina Yordanova
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032091161


ISBN 10:   3032091160
Pages:   203
Publication Date:   24 October 2025
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

.-Automating Ergonomics: Scalable AI for Technical Hand Grip Classification. .-Automating Ergonomics: Scalable AI for Technical Hand Grip Classification. .-Recommendations for Datasets Creation Process for Human Motion Generation in Industrial Simulations. .-Toppled Realities: Challenges in Generation and Validation of Synthetic Data. .-Activity recognition. .-Retrieval-based Annotation for Multi-Channel Time Series Data of Human Activities. .-Towards Standardized Dataset Creation for Human Activity Recognition: Framework, Taxonomy, Checklist, and Best Practices. .-Towards Practical, Best Practice Video Annotation to Support Human Activity Recognition. .-Annotation of textual data. .-Large Language Models Rival Human Performance in Historical Labeling. .-Annotation and label validation of upper-tier tribunal decisions in immigration law. .-Span-Level Domain-Specific Annotated Student Feedback Pilot Dataset. .-Relation Extraction from Real-World Unstructured Text in the Domain of Dementia. .-Relation Extraction from Real-World Unstructured Text in the Domain of Dementia. .-Assessing privacy-friendly local open-source voice annotation for participants with Parkinson’s disease.

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