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Pattern Recognition and Classification of Low-Intensity Emotions from Physiological Data.

, , , , , , , and . CBMS, page 299-304. IEEE, (2023)

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Detection of Abnormalities in Electrocardiogram (ECG) using Deep Learning., , and . BIOSIGNALS, page 236-243. SCITEPRESS, (2020)Pattern Recognition and Classification of Low-Intensity Emotions from Physiological Data., , , , , , , and . CBMS, page 299-304. IEEE, (2023)Topographic EEG brain mapping before, during and after Obstructive Sleep Apnea Episodes., , , and . ISBI, page 1860-1863. IEEE, (2011)ECG Biometrics Using Deep Learning and Relative Score Threshold Classification., , , , and . Sensors, 20 (15): 4078 (2020)Development of the Decision Support System in Treatment of Arterial Hypertension - Application of Artificial Neural Networks for Evaluation of Heart Rate Variability Signals., , , and . BIOSIGNALS, page 325-331. SciTePress, (2018)SSTS: A syntactic tool for pattern search on time series., , , and . Inf. Process. Manag., 56 (1): 61-76 (2019)Noise detection on ECG based on agglomerative clustering of morphological features., , and . Comput. Biol. Medicine, (2017)Learning Biosignals with Deep Learning. NOVA University Lisbon, Portugal, (2020)Study of Uncertainty Quantification Using Multi-Label ECG in Deep Learning Models., , , and . BIOSIGNALS, page 252-259. SCITEPRESS, (2023)Project INSIDE: towards autonomous semi-unstructured human-robot social interaction in autism therapy., , , , , , , , , and 9 other author(s). Artif. Intell. Medicine, (2019)