Francesca Naretto – författare
Machine Learning and Principles and Practice of Knowledge Discovery in Databases
International Workshops of ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part I
1 225 kr
Skickas inom 10-15 vardagar
Machine Learning and Principles and Practice of Knowledge Discovery in Databases
International Workshops of ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part II
842 kr
Skickas inom 10-15 vardagar
Discovery Science
27th International Conference, DS 2024, Pisa, Italy, October 14–16, 2024, Proceedings, Part I
780 kr
Skickas inom 10-15 vardagar
973 kr
Läs direkt efter köp
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.
Discovery Science
27th International Conference, DS 2024, Pisa, Italy, October 14–16, 2024, Proceedings, Part II
696 kr
Skickas inom 10-15 vardagar
898 kr
Läs direkt efter köp
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.