Editors

Grangetto, A.,
Martínez, A.G.,
Castro Rojas, E.A.,
Tallón-Ballesteros, A.J.

Publication date

# of pages

282

Cover

eBook

ISBN online

978-1-64368-654-7
Open Access
Online Only

Description

Machine learning and intelligent systems have progressed dramatically in recent years, with industries such as artificial intelligence, data science, robotics, and smart cities driving significant changes in both society and the lives of individuals. 

This publication presents the proceedings of MLIS 2025, the 7th International Conference on Machine Learning and Intelligent Systems, held from 24 to 26 November 2025 in Hong Kong, China. This year’s conference focused on the theme of advancing intelligent innovation for a connected world, and its aim was to cover a wide range of frontier topics, including but not limited to, deep learning, reinforcement learning, natural language processing, computer vision, intelligent decision-making systems, big data analytics, and the application of intelligent technologies in various fields. Attracting participants from around the world to discuss the key challenges and development trends in the field, this conference series also serves to promote the practical development and industrial application of recent academic achievements. The conference received a total of around 90 submissions, of which 32 were ultimately selected after a thorough peer review process, based on their quality and relevance for presentation and publication here. These papers reflect the latest research and innovative results in the field of machine learning and intelligent systems, covering theoretical exploration, algorithm improvement, and application practice.

Providing an overview of the latest developments, this volume of proceedings will provide a valuable resource for researchers in related fields, as well as promoting the further development and interdisciplinary integration of machine learning and intelligent systems.

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