Buch, Englisch, 248 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 406 g
First EAI International Conference, RAIDS 2024, Danang, Vietnam, October 22-24, 2024, Proceedings
Buch, Englisch, 248 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 406 g
ISBN: 978-3-032-14054-8
Verlag: Springer
This book constitutes the refereed proceedings of the First EAI International Conference on Responsible Artificial Intelligence and Data Science, RAIDS 2024, held in Danang, Vietnam, during October 22–24, 2024.
The 16 full papers presented in this volume were carefully reviewed and selected from 39 submissions. They were organized in the following topical sections: AI for Healthcare and Medical Applications; AI for Human Services and Social Applications; Theorical Contributions for Responsible AI.
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Research
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Weitere Infos & Material
.- AI for Healthcare and Medical Applications.
.- Deep Convolutional K-Means of 3D morphologies of human legs for the implementation of adaptive leg morphotypes and Medical Compression Stockings.
.- Unsupervised classification of 3D morphologies of human legs for the implementation of adaptive leg morphotypes and Medical Compression Stockings: A survey and perspective.
.- Application of Digital Survey Tools to Screen for Child Maltreatment Among Secondary School Students in Vietnam.
.- An approach for Building Question-Answering Systems using Large Language Models on Medical domain dataset.
.- COMPARISON OF VARIOUS MODELS FOR PREDICTING IN-HOSPITAL MORTALITY USING MIMIC-III DATABASE.
.- Transformer-Based Models for Predicting High-Risk Diabetes in Women using Tabular Data.
.- Explainable Transformer-based Approach for ECG Anomaly Detection.
.- AI for Human Services and Social Applications.
.- Educable learning for human-AI coevolution.
.- Artificial Intelligence for Human Resource Management: A Review, Perspective, and Case Study.
.- An Ontology-based Personalized Expert System for Purple Star Astrology.
.- Aspect and Sentiment Detection in Vietnamese Text using Transfer Learning and LSTM.
.- Theorical Contributions for Responsible AI.
.- Deep CNN for Remaining Useful Life Prediction: An XAI Approach Using SHAP for Model Interpretation.
.- Exploring the impact of different signal processing techniques on model accuracy for snore detection on edge devices.
.- The Evolution of AI Chips: From Cloud to Edge, Powering the Future of Artificial Intelligence.
.- A Novel Pseudoconvex Programming Approach for Multi-criteria Fuzzy Portfolio Optimization with Uncertainty Ratio.
.- Preserving User Privacy in Retrieval Augmented Generation: A Novel Approach Using Local Placeholder Tagging.
