Modelling, Computation and Optimization in Information Systems and Management Sciences
Description
This 2-volume set of proceedings contains 62 selected full papers presented at the Fifth International Conference on Modeling, Computation and Optimization in Information Systems and Management Science (MCO 2025), held on June 4-6, 2025, in Metz, France, celebrating the 40th anniversary of DC (Difference of Convex functions) programming and DCA (DC Algorithms)-pioneering and highly influential methodologies founded by Pham Dinh Tao and Le Thi Hoai An.
This second volume (Part II) features 31 articles on key areas of AI and data science, including machine learning and big data, computer vision and image processing, explainability, data privacy, and fairness in trustworthy AI, as well as innovations for health-from data acquisition to AI-driven analysis. These proceedings are intended to serve as a lasting reference and a source of inspiration for research and applications in AI, data science, and emerging technologies.
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Content
DC programming and DCA: 40 Years of breakthroughs driving Intelligence and Technology.- A DC approach for the chance-constrained portfolio optimization problem.- Consolidation of Biomimicry and Swarm-based Metaheuristic Algorithms with Supervised Learning Neural Network for Function Approximation.
