Discovery Science - 27th International Conference, DS 2024, Pisa, Italy, October 14-16, 2024, Proceedings, Part I

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.
 

List 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.

Product details

• Assisted by: Riccardo Guidotti (Editor), Riccardo Guidotti et al (Editor), Anna Monreale (Editor), Francesca Naretto (Editor), Dino Pedreschi (Editor), Roberto Pellungrini (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 08.01.2025
• EAN: 9783031789762
• ISBN: 978-3-0-3178976-2
• No. of pages: 419
• Dimensions: 155 mm x 24 mm x 235 mm
• Weight: 675 g
• Illustrations: XXV, 419 p. 140 illus., 130 illus. in color.
• Series: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; machine learning, Lehrmittel, Lerntechnologien, E-Learning, Data Mining, Artificial Intelligence, Bildverarbeitung, Wissensbasierte Systeme, Expertensysteme, Computer Vision, Computer Imaging, Vision, Pattern Recognition and Graphics, Natural Language Processing, Data Mining and Knowledge Discovery, Computers and Education, Computer Application in Social and Behavioral Sciences, machine learning algorithms, Computing methodologies, search methodologies, Machine learning approaches