Francesco Dal Santo, Eduardo Fonseca-Pedrero, María Paz García-Portilla, Leticia González-Blanco, Pilar A Sáiz, Silvana Galderisi, Giulia Maria Giordano, Julio Bobes
Searching for bridges between psychopathology and real-world functioning in first-episode psychosis: A network analysis from the OPTiMiSE trial
European psychiatry : the journal of the Association of European Psychiatrists
soil analysis makes developing precision agriculture monitoring land quality models available spectroscopybased chemometrics constrained limited samples small areas paper proposed sample expansion model construction based spectral difference content difference realizing data augmentation deep learning applied original samples limited numbers spectral subtraction based maximum minimum values exploited maximum minimum values acquire spectral difference content difference provided new data form model construction keeping enhanced samples whose spectral difference content difference zero useful improving model performance augmentation data training data based maximum minimum valuesbased spectral subtraction sorted contents made maximum minimum values sequence achieved sample expansion spectral difference content difference model utilized random vector functional link rvfl network extreme learning machine elm onedimensional convolutional neural network 1d cnn could predict content new samples ensemble averaging predicting content difference experimental result showed model spectral subtraction based maximum minimum values similar performance original samples augmentation data improved model performance rvfl elm augmentation training data verified 1d cnn better rvfl elm paper implements new data augmentation method applies cnn original samples inadequate numbers lays foundation improved model applying spectral preprocessing