Discovery Science: 27th International Conference, DS 2024, Pisa, Italy, October 14–16, 2024, Proceedings, Part I
Author:   Dino Pedreschi ,  Anna Monreale ,  Riccardo Guidotti ,  Roberto Pellungrini
Publisher:   Springer International Publishing AG
Volume:   15243
ISBN:  

9783031789762


Pages:   419
Publication Date:   28 January 2025
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Discovery Science: 27th International Conference, DS 2024, Pisa, Italy, October 14–16, 2024, Proceedings, Part I


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Overview

The two-volume set LNAI 15243 + 15244 constitutes the proceedings of the 27th International Conference on Discovery Science, DS 2024, which took place in Pisa, Italy, during October 14-16, 2024. The 53 full papers presented in the proceedings were carefully reviewed and selected from 121 submissions. They were organized in topical sections as follows:  Part I: LLM, Text Analytics, and Ethical Aspects of AI; Natural Language Processing, Sequential Data and Science Discovery; Data-Driven Science Discovery Methodologies; Graph Neural Network, Graph Theory, Unsupervised Learning and Regression;  Part II: Tree-Based Models and Causal Discovery; Security and Anomaly Detection; Computer Vision and Explainable AI; Classification Models; SoBigData++: City for Citizens and Explainable AI; SoBigData++: Societal Debates and Misinformation Analysis.  

Full Product Details

Author:   Dino Pedreschi ,  Anna Monreale ,  Riccardo Guidotti ,  Roberto Pellungrini
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Volume:   15243
ISBN:  

9783031789762


ISBN 10:   3031789768
Pages:   419
Publication Date:   28 January 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

LLM, Text Analytics, and Ethical Aspects of AI.- Natural Language Processing, Sequential Data and Science Discovery.- Data-Driven Science Discovery Methodologies; Graph Neural Network, Graph Theory.- Unsupervised Learning and Regression.

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