Image Quality Assessment

[1] Yu S, Wu S, Wang L, et al. A shallow convolutional neural network for blind image sharpness assessment. PloS one, 2017, 12(5): e0176632.

        A shallow convolutional neural network is proposed for blind image sharpness assessment.

        https://github.com/NicoYuCN/PlosOneIQA

[2] Zhang Z, Liang X, Qin W, Yu S, Xie Y. matFR: a MATLAB toolbox for feature ranking. Bioinformatics. 2020, 36(19): 4968-4969.

        A matlab toolbox is delivered for feature importance ranking. It outputs features' rank accoding to their relative importance. A total of 42 feature ranking algorithms have been integrated.

        https://github.com/NicoYuCN/matFR

[3] Yu S, Chen H, Yu H, Zhang Z, Liang X, Qin W, Xie Y, Shi P. Elastic net based feature ranking and selection. 2021.

        A simple yet efficient feature ranking framework is proposed and the backbone is elastic net.

        https://github.com/NicoYuCN/elasticnetFR