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Evaluation of Maturation in Preterm Infants Through an Ensemble Machine Learning Algorithm Using Physiological Signals., , , , , , , , , и . IEEE J. Biomed. Health Informatics, 26 (1): 400-410 (2022)Automatic Extraction of Spontaneous Cries of Preterm Newborns in Neonatal Intensive Care Units., , , , , и . EUSIPCO, стр. 1200-1204. IEEE, (2020)Preterm Newborn Presence Detection in Incubator and Open Bed Using Deep Transfer Learning., , , , и . IEEE J. Biomed. Health Informatics, 25 (5): 1419-1428 (2021)Audio- and video-based estimation of the sleep stages of newborns in Neonatal Intensive Care Unit., , , , , , , и . Biomed. Signal Process. Control., (2019)Spectrogram-based fundamental frequency tracking of spontaneous cries in preterm newborns., , , и . EUSIPCO, стр. 1185-1189. IEEE, (2020)Estimation of Quiet Sleep in Preterm and Full-Term Newborns Using Machine Learning Algorithms Based on Cardio-Respiratory and Motion Signals., , , , и . CinC, стр. 1-4. IEEE, (2023)Extraction of Premature Newborns' Spontaneous Cries in the Real Context of Neonatal Intensive Care Units., , , , , и . Sensors, 22 (5): 1823 (2022)Functional Age Estimation Through Neonatal Motion Characterization Using Continuous Video Recordings., , , , , и . IEEE J. Biomed. Health Informatics, 27 (3): 1500-1511 (марта 2023)Automatic de-identification of French electronic health records: a cost-effective approach exploiting distant supervision and deep learning models., , , , , , , , и . BMC Medical Informatics Decis. Mak., 24 (1): 54 (декабря 2024)Automated Quiet Sleep Detection for Premature Newborns Based on Video and ECG Analysis., , , , , и . CinC, стр. 1-4. IEEE, (2021)