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Palabras clave – provistas por la editorial

open contours; similarly shaped fish species; Discrete Cosine Transform (DCT); Discrete Fourier Transform (DFT); Extreme Learning Machines (ELM); feature engineering; small data-sets; optimization; machine learning; preprocessing; image generation; weighted interpolation map; binarization; single sample per person; root canal measurement; multifrequency impedance; data augmentation; neural network; functional magnetic resonance imaging; independent component analysis; deep learning; recurrent neural network; functional connectivity; episodic memory; small sample learning; feature selection; noise elimination; space consistency; label correlations; empirical mode decomposition; sparse representations; tensor decomposition; tensor completion; machine translation; pairwise evaluation; educational data; small datasets; noisy datasets; smart building; Internet of Things (IoT); Markov Chain Monte Carlo (MCMC); ontology; graph model; Artificial Neural Network; Discriminant Analysis; dengue; feature extraction; sound event detection; non-negative matrix factorization; ultrasound images; shadow detection; shadow estimation; auto-encoders; semi-supervised learning; prediction; feature importance; feature elimination; hierarchical clustering; Parkinson’s disease; few-shot learning; permutation-variable importance; topological data analysis; persistent entropy; support-vector machine; data science; intelligent decision support; social vulnerability; gender-gap; digital-gap; COVID19; policy-making support; artificial intelligence; imperfect dataset