The Naïve Associative Classifier (NAC): A novel, simple, transparent, and accurate classification model evaluated on financial data
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.03.085
Abstract: Abstract In this paper the Naive Associative Classifier (NAC), a novel supervised learning model, is presented. Its strengths lie in its simplicity, transparency, transportability and accuracy. The creation, design, implementation and application of the NAC… read more here.
Keywords: associative classifier; nac novel; model; classifier nac ... See more keywords
Detection of Age-Related Macular Degeneration in Fundus Images by an Associative Classifier
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Latin America Transactions"
DOI: 10.1109/tla.2018.8358676
Abstract: In this paper we propose the application of a novel associative classifier, the Heaviside's Classifier, for the early detection of Age-Related Macular Degeneration un retinal fundus images. Retinal fundus images are, first, processed by a… read more here.
Keywords: fundus images; age related; associative classifier; related macular ... See more keywords