Intelligent Information and Database Systems
17th Asian Conference, ACIIDS 2025, Kitakyushu, Japan, April 23-25, 2025, Proceedings, Part I
Herausgegeben: Nguyen, Ngoc Thanh; Matsuo, Tokuro; Gaol, Ford Lumban; Manolopoulos, Yannis; Fujita, Hamido; Hong, Tzung-Pei; Wojtkiewicz, Krystian
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This two-volume proceedings, LNAI 15683 and LNAI 15684, constitutes the proceedings of the 17th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2025, held in Kitakyushu, Japan, during April 23-25, 2025.The 56 full papers and presented in these two volumes were carefully reviewed and selected from 301 submissions.The papers are organized in the following topical sections:Part I: Data Mining, Processing and Integration; Deep Learning Methods and Applications; Generative Models Applications; Intelligent Information Systems and Problem-Solving Algorithms.Part II: Games and...
This two-volume proceedings, LNAI 15683 and LNAI 15684, constitutes the proceedings of the 17th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2025, held in Kitakyushu, Japan, during April 23-25, 2025.
The 56 full papers and presented in these two volumes were carefully reviewed and selected from 301 submissions.
The papers are organized in the following topical sections:
Part I: Data Mining, Processing and Integration; Deep Learning Methods and Applications; Generative Models Applications; Intelligent Information Systems and Problem-Solving Algorithms.
Part II: Games and Decision Theories; Image Processing and Computer Vision; Intelligent Techniques in Optimization; Machine Learning Techniques and Applications.
The 56 full papers and presented in these two volumes were carefully reviewed and selected from 301 submissions.
The papers are organized in the following topical sections:
Part I: Data Mining, Processing and Integration; Deep Learning Methods and Applications; Generative Models Applications; Intelligent Information Systems and Problem-Solving Algorithms.
Part II: Games and Decision Theories; Image Processing and Computer Vision; Intelligent Techniques in Optimization; Machine Learning Techniques and Applications.
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