Paperback. 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 46, 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 healthfrom 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Bibliographic Details

Title: Modelling, Computation and Optimization in Information Systems and Management Sciences (Paperback)
Publisher: Springer Nature Switzerland AG, Cham
Publication Date: 2025
Language: English
ISBN 10: 3032083834
ISBN 13: 9783032083838
Binding: Paperback
Condition: new

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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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