AI and Multimodal Services – AIMS 2024
Springer International Publishing (Verlag)
978-3-031-77680-9 (ISBN)
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This book constitutes the refereed proceedings of the 13th International Conference on AI and Multimodal Services - AIMS 2024, AIMS 2024, Held as Part of the Services Conference Federation, SCF 2024, held in Bangkok, Thailand, during November 16-19, 2024.
The 7 full papers and one short paper included in this book were carefully reviewed and selected from 16 submissions. They were organized in topical sections as follows: research track; application track; and short paper track.
.- Research Track.
.- A Paradigm Shift to Causal Model-Driven Decision-Making With Generative AI.
.- Incorporating Feature Refinement Enhancement and Cross Network for Click-Through Rate Prediction.
.- XcepSENet: An Intelligent Yoga Pose Classification System Based on Mediapipe.
.- Arg-T5: A Multi-Perspective Argument Generation Method Based on Debate Topic.
.- RCJE: A Machine Reading Comprehension Framework With Joint Coding for Emotion-Cause Pair Extraction.
.- AI Value Protocol: Utilizing Blockchain to Promote AI.
.- Application Track.
.- Enhancing Customer Sentiment Analysis: A Hybrid Approach Using VADER and Machine Learning Techniques.
.- Short Paper Track.
.- Flood inundation range prediction method based on SRR-Informer.
Erscheinungsdatum | 18.11.2024 |
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Reihe/Serie | Lecture Notes in Computer Science |
Zusatzinfo | XIII, 113 p. 40 illus., 37 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Informatik ► Weitere Themen ► Hardware | |
Schlagworte | Applications of Multimodal Services • Evaluation and Benchmarking of Multimodal Systems • Generative AI Models • Multimodal Content Creation and Management • Multimodal Interaction and User Interfaces • Multimodal Service Platforms and Frameworks • Natural Language Processing (NLP) for Multimodal Services |
ISBN-10 | 3-031-77680-1 / 3031776801 |
ISBN-13 | 978-3-031-77680-9 / 9783031776809 |
Zustand | Neuware |
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