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Non-invasive temperature prediction of in vitro therapeutic ultrasound signals using neural networks., , , , and . Medical Biol. Eng. Comput., 44 (1-2): 111-116 (2006)Latent states extraction through Kalman Filter for the prediction of heart failure decompensation events., , , , , , , and . EMBC, page 3947-3950. IEEE, (2019)Time-variable blood flow averaged waveforms., , , and . Int. J. Systems Science, 37 (8): 535-541 (2006)Towards ultrasound hyperthermia safe treatments using computational intelligence techniques., and . MeMeA, page 1-6. IEEE, (2016)Risk Prediction of Heart Failure Decompensation Events in Multiparametric Feature Spaces., , , , , , , , and . EMBC, page 4030-4033. IEEE, (2018)GPR target detection using a neural network classifier designed by a multi-objective genetic algorithm., , , and . Appl. Soft Comput., (2019)Sensory system for the sleep disorders detection in the geriatric population., , , , , and . exp.at, page 329-334. IEEE, (2017)Parallel Implementation of a Model-Based Spectral Estimator for Doppler Blood Flow Instrumentation., , , and . IPPS, page 810-814. IEEE Computer Society, (1994)Neuro-genetic non-invasive temperature estimation: Intensity and spatial prediction., , , and . Artif. Intell. Medicine, 43 (2): 127-139 (2008)Pattern discovery and similarity assessment for robust Heart Sound Segmentation., , , , and . EMBC, page 3517-3520. IEEE, (2017)