Applied Statistical Modeling and Data Mining (MDPI - Multidisciplinary Digital Publishing Institute, 2024)
Keywords: academic burnout syndrome; acute pesticide poisoning; affine transformation; Applied mathematics; archaeology; artificial intelligence; Bayesian model combination; CBG-USS; class imbalance; classification; Cox processes; crime data; crime prediction; cross-validation; Cuestionario Burnout Granada-University Students; DAG-DLT; dataset shift; diffusion; electrical vehicles (EVs); emergency calls; emotional contagion; energy efficient; ensemble learning; ESSEM and bifactor model; ETC gantry; event-triggered communication; family financial socialization; federated learning; financial literacy; flint (chert); highway; improved susceptible-infectious-recovered model; internal structure; investment awareness; lack of self-control; LightGBM; logic regression; logic tree; logistic regression; long short-term memory; long-term refuge scenarios; machine learning; malware attack; Mathematics; Mathematics and Science; MBI-SS; multivariate statistics; noise models; noisy data; nomenclature; nursing students; offense–defense game; pattern recognition; police patrol routes; random forests; regression; reliability and validity; respiratory failure; Saudi Arabia; saving behavior; security; simulated annealing; spatio-temporal point processes; spectroscopy; stochastic integro-differential equations; stratification; synthetic data; tabular data; target shift; taxonomy; topology dynamic generation; traffic flow; transportation system (TS); two sources of infection; UK10K project; uncertainty; utility measures; variable interactions; volatility; wireless sensor network (WSN)