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Palabras clave – provistas por la editorial

multi-objective evolutionary algorithms; rule-based classifiers; interpretable machine learning; categorical data; hand sign language; deep learning; restricted Boltzmann machine (RBM); multi-modal; profoundly deaf; noisy image; ensemble methods; adaptive classifiers; recurrent concepts; concept drift; stock price direction prediction; toe-off detection; gait event; silhouettes difference; convolutional neural network; saliency detection; foggy image; spatial domain; frequency domain; object contour detection; discrete stationary wavelet transform; attention allocation; attention behavior; hybrid entropy; information entropy; single pixel single photon image acquisition; time-of-flight; action recognition; fibromyalgia; Learning Using Concave and Convex Kernels; Empatica E4; self-reported survey; speech emotion recognition; 3D convolutional neural networks; k-means clustering; spectrograms; context-aware framework; accuracy; false negative rate; individual behavior estimation; statistical-based time-frequency domain and crowd condition; emotion recognition; gestures; body movements; Kinect sensor; neural networks; face analysis; face segmentation; head pose estimation; age classification; gender classification; singular point detection; boundary segmentation; blurring detection; fingerprint image enhancement; fingerprint quality; speech; committee of classifiers; biometric recognition; multimodal-based human identification; privacy; privacy-aware