Explainable Machine Learning Framework for Image Classification Problems: Case Study on Glioma Cancer Prediction

Image classification is a very popular machine learning domain in which deep convolutional neural networks have mainly emerged on such applications. These networks manage to achieve remarkable performance in terms of prediction accuracy but they are considered as black box models since they lack the...

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Hlavní autoři:	Emmanuel Pintelas, Meletis Liaskos, Ioannis E. Livieris, Sotiris Kotsiantis, Panagiotis Pintelas
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2020-05-01
Edice:	Journal of Imaging
Témata:	interpretable/explainable machine learning image classification image processing machine learning models white box black box
On-line přístup:	https://www.mdpi.com/2313-433X/6/6/37
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!