Full Description
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.
Contents
.- 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.
