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Prediction of Sleep Stages Based on Wearable Signals Using Machine Learning Techniques.

, , and . BIOSIGNALS, page 195-202. SCITEPRESS, (2023)

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Heart Rate Variability and Electrodermal Activity Biosignal Processing: Predicting the Autonomous Nervous System Response in Mental Stress., , and . BIOSTEC (Selected Papers), volume 1211 of Communications in Computer and Information Science, page 328-351. Springer, (2019)Demonstration of modeling and simulation of physiological processes using a remote lab., , , , , and . exp.at, page 103-104. IEEE, (2015)Interpretable multi-modal data integration.. Nat. Comput. Sci., 2 (1): 8-9 (2022)The Importance of Spatial Visual Scene Parameters in Predicting Optimal Cone Sensitivities in Routinely Trichromatic Frugivorous Old-World Primates., , , and . Frontiers Comput. Neurosci., (2018)minval: An R package for MINimal VALidation of Stoichiometric Reactions., , and . R J., 9 (1): 114 (2017)Population-level comparisons of gene regulatory networks modeled on high-throughput single-cell transcriptomics data., , , , , , , , , and 4 other author(s). Nat. Comput. Sci., 4 (3): 237-250 (2024)Human cone-pigment spectral sensitivities and the reflectances of natural surfaces., and . Biol. Cybern., 67 (3): 217-222 (1992)g2f as a Novel Tool to Find and Fill Gaps in Metabolic Networks., , , , , , and . R J., 13 (2): 6 (2021)Prediction of Sleep Stages Based on Wearable Signals Using Machine Learning Techniques., , and . BIOSIGNALS, page 195-202. SCITEPRESS, (2023)A Genetic Algorithm to Design Job Rotation Schedules with Low Risk Exposure., , , , , , and . DoCEIS, volume 577 of IFIP Advances in Information and Communication Technology, page 395-402. Springer, (2020)