WebJun 25, 2015 · They reported a sensitivity of 95.4 % and a specificity of 100 %. Similarly, the work presented by Chowriappa et al. proposed an ensemble selection technique to build an ensemble classifier from a library of models. They reported an average accuracy of 96.7 %, with highest recorded accuracy of 97.8 %. WebIbrahim S, Chowriappa P, Dua S, Acharya UR, Noronha K, Bhandary S et al. Classification of diabetes maculopathy images using data-adaptive neuro-fuzzy inference classifier. Medical and Biological Engineering and Computing. 2015 Dec 1;53(12):1345-1360. doi: 10.1007/s11517-015-1329-0

SelectedWorks - Pradeep Chowriappa - Bepress

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Constable Chowriappah - Baba Sehgal - YouTube

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