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Titlebook: Artificial Life and Evolutionary Computation; 14th Italian Worksho Franco Cicirelli,Antonio Guerrieri,Andrea Vinci Conference proceedings 2

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21#
發(fā)表于 2025-3-25 06:00:01 | 只看該作者
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發(fā)表于 2025-3-25 11:14:45 | 只看該作者
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發(fā)表于 2025-3-25 14:51:52 | 只看該作者
24#
發(fā)表于 2025-3-25 18:10:13 | 只看該作者
The Detection of Dynamical Organization in Cancer Evolution Models,- in this paper based on the RI methodology, which is based on entropic measures - allows us to identify distinct independent cancer progression patterns in simulated patients, planning a road towards applications to real cases.
25#
發(fā)表于 2025-3-25 22:54:08 | 只看該作者
An Analysis of Cooperative Coevolutionary Differential Evolution as Neural Networks Optimizer, connected to the application of evolutionary computation, i.e. the stagnation and the lack of population diversity, and the use of a crowding strategy to address them. The system has been tested on classical benchmark classification problems and experimental results are presented and discussed.
26#
發(fā)表于 2025-3-26 00:44:14 | 只看該作者
Conference proceedings 2020 and simulation, collaborative and social computing, parallel computing, distributed computing..Chapters 14, 15, 16, and 17 are available open access under a Creative Commons Attribution 4.0 International License via?link.springer.com..
27#
發(fā)表于 2025-3-26 07:07:53 | 只看該作者
1865-0929 , modeling and simulation, collaborative and social computing, parallel computing, distributed computing..Chapters 14, 15, 16, and 17 are available open access under a Creative Commons Attribution 4.0 International License via?link.springer.com..978-3-030-45015-1978-3-030-45016-8Series ISSN 1865-0929 Series E-ISSN 1865-0937
28#
發(fā)表于 2025-3-26 11:40:53 | 只看該作者
Being a Woman in the Twenty-first Century,ed using this novel method and on the original dataset, demonstrates that the technique generally improves the classification performance of troll detection, virtually independently of the classifier that is used.
29#
發(fā)表于 2025-3-26 13:29:34 | 只看該作者
A Relevance Index-Based Method for Improved Detection of Malicious Users in Social Networks,ed using this novel method and on the original dataset, demonstrates that the technique generally improves the classification performance of troll detection, virtually independently of the classifier that is used.
30#
發(fā)表于 2025-3-26 17:28:30 | 只看該作者
Conference proceedings 2020Rende, Italy, in September 2019..The 13 full papers and 4 short paper presented were thoroughly reviewed and selected from 31 submissions. They are focused on the topics of? information systems, design and analysis of algorithms, artificial intelligence, machine learning, cognitive science, modeling
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