Nixon 发表于 2025-3-21 18:04:34
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Book 2021g the crucial features of interpretability and explainability in the original framework of Granular Computing. The innovative perspective established with the aid of information granules provides a high level of human centricity and transparency central to the development of AI constructs. The chaptbifurcate 发表于 2025-3-22 02:45:11
Book 2021 knowledge representation, learning and interpretation. The book appeals to a broad audience including researchers and practitioners interested in gaining exposure to the rapidly growing body of knowledge in AI and intelligent systems.休闲 发表于 2025-3-22 04:55:17
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MiBeX: Malware-Inserted Benign Datasets for Explainable Machine Learning, as Image classifier achieves a training accuracy of 98.94% and a validation accuracy of 93.83%, showing that the method can produce valid datasets for use with machine learning. Gradient-based saliency mapping is then applied to the trained classifier to generate heat-map explanations of the network output.fabricate 发表于 2025-3-22 16:28:00
1860-949X ytics, knowledge representation, learning and interpretation. The book appeals to a broad audience including researchers and practitioners interested in gaining exposure to the rapidly growing body of knowledge in AI and intelligent systems.978-3-030-64951-7978-3-030-64949-4Series ISSN 1860-949X Series E-ISSN 1860-9503道学气 发表于 2025-3-22 18:43:34
Interpretable Artificial Intelligence: A Perspective of Granular Computing纠缠 发表于 2025-3-22 23:23:04
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