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Titlebook: Engineering Applications of Neural Networks; 24th International C Lazaros Iliadis,Ilias Maglogiannis,Elias Pimenidis Conference proceedings

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31#
發(fā)表于 2025-3-26 21:11:28 | 只看該作者
Engineering Applications of Neural Networks978-3-031-34204-2Series ISSN 1865-0929 Series E-ISSN 1865-0937
32#
發(fā)表于 2025-3-27 02:44:45 | 只看該作者
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發(fā)表于 2025-3-27 07:47:32 | 只看該作者
Computational Ethology: Short Review of?Current Sensors and?Artificial Intelligence Based Methods enhanced capabilities to interpret experimental data in order to extract accurate ethograms allowing the comparison of animal models with high discriminative power. In this short review we introduce the most recent software tools that employ AI tools for this endeavor, including the popular deep le
34#
發(fā)表于 2025-3-27 10:23:48 | 只看該作者
35#
發(fā)表于 2025-3-27 15:33:51 | 只看該作者
Towards Improved User Experience for Artificial Intelligence Systemsudy was conducted for the OMA-ML platform as an example. OMA-ML is an AutoML platform that automates complex tasks in machine learning (ML) and generates ML pipelines. The usability of OMA-ML was measured against the ISO 9241-110:2020 standard in an expert evaluation. The vulnerabilities with the gr
36#
發(fā)表于 2025-3-27 18:07:42 | 只看該作者
A Critical Analysis of?Classifier Selection in?Learned Bloom Filters: The Essentialsrue when considering Learned Bloom Filters. In this work we analyze how the performance of such learned data structures is impacted by the classifier chosen to build the filter and by the complexity of the dataset used in the training phase. Such analysis, which has not been proposed so far in the l
37#
發(fā)表于 2025-3-27 22:38:53 | 只看該作者
38#
發(fā)表于 2025-3-28 02:48:46 | 只看該作者
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發(fā)表于 2025-3-28 07:49:33 | 只看該作者
40#
發(fā)表于 2025-3-28 12:30:31 | 只看該作者
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