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Palabras clave – provistas por la editorial

forecasting model; electricity energy consumption; grey model; artificial neural network; machine learning; rotation CART ensemble; bagging; boosting; arcing; simplified selective ensemble; linear stacked model; IoV; xNN; K-MEANS; anomaly detection; single-index models; composite quantile regression; SCAD; Laplace error penalty (LEP); causality; Bayesian networks; scalability; group lasso penalty; data integration; network estimation; stability selection; time series model; wavelet transform; neural network NARX; ionospheric parameters; gambling; jackpot; multidimensional integrals; Monte Carlo methods; lattice sequences; digital sequences; surface approximation; surface segmentation; surface denoising; gaussian process latent variable model; line geometry; line elements; regression; classification; prediction; meteorological parameters; traffic incidents; multi-agent architecture; air pollution; random forest; ARIMA errors; MIMO averaging strategy; multi-step ahead prediction; unmeasured forecast; Explainableartificial intelligence; credit card frauds; deep learning; long short-term memory; fraud classification; lung cancer; tumor; CT image; one-stage detector; YOLO; multi-scale; receptive field; data analysis; decision trees; LightGBM; SHAP; leisure time; influencing factors; time allocation; neural networks; cosmic rays; space weather; n/a