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.
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.

Discovery Science: 27th International Conference, DS 2024, Pisa, Italy, October 14-16, 2024, Proceedings, Part I
419
Discovery Science: 27th International Conference, DS 2024, Pisa, Italy, October 14-16, 2024, Proceedings, Part I
419Product Details
ISBN-13: | 9783031789762 |
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Publisher: | Springer Nature Switzerland |
Publication date: | 01/28/2025 |
Series: | Lecture Notes in Computer Science , #15243 |
Pages: | 419 |
Product dimensions: | 6.10(w) x 9.25(h) x (d) |