Statistical Data Modeling and Machine Learning with Applications (MDPI - Multidisciplinary Digital Publishing Institute, 2021)
Keywords: artificial neural networks; assessment; banking; brain-computer interface; breast cancer subtyping; CART ensembles and bagging; categorical data; citizen science; classification; classification and regression tree; clustering; CNN-LSTM architectures; consensus models; convexity; cross-validation; dam inflow prediction; damped Newton; data quality; data-adaptive kernel functions; deep forest; Economics, Finance, Business and Management; EEG motor imagery; ensemble model; feature selection; Gower’s interpolation formula; Gower’s metric; hedonic prices; housing; hyper-parameter optimization; image data; Industry and industrial studies; Information technology industries; input predictor selection; kernel clustering; kernel density estimation; long short-term memory; machine learning; mathematical competency; Media, entertainment, information and communication industries; METABRIC dataset; mixed data; multi-category classifier; multi-omics data; multidimensional scaling; multivariate adaptive regression splines; n/a; non-linear optimization; predictive models; quantile regression; real-time motion imagery recognition; similarity; stochastic gradient descent; support vector machine; wavelet transform