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Clustering of Human Sleep Recordings Using a Quantile Representation of Stage Bout Durations.

, , , , and . BIOSTEC (Selected Papers), volume 357 of Communications in Computer and Information Science, page 369-384. Springer, (2012)

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Introduction to Part IV: Data Mining and Web-Knowledge Management., , and . INAP (LNCS Volume), volume 2543 of Lecture Notes in Computer Science, page 235-236. Springer, (2001)Machine Learning of Human Sleep Patterns based on Stage Bout Durations., , , , and . HEALTHINF, page 71-80. SciTePress, (2012)Computational Modeling of Sleep Stage Dynamics using Weibull Semi-Markov Chains., , , and . HEALTHINF, page 122-130. SciTePress, (2013)Model-based Clustering of Ischemic Stroke Patients., , , , and . HEALTHINF, page 172-181. SciTePress, (2015)Gaussian RBF Centered Kernel Alignment (CKA) in the Large-Bandwidth Limit.. IEEE Trans. Pattern Anal. Mach. Intell., 45 (5): 6587-6593 (May 2023)Improved Deep Learning Classification of Human Sleep Stages., , and . CBMS, page 338-343. IEEE, (2020)Clustering of Human Sleep Recordings Using a Quantile Representation of Stage Bout Durations., , , , and . BIOSTEC (Selected Papers), volume 357 of Communications in Computer and Information Science, page 369-384. Springer, (2012)Semi-Markov Modeling-Clustering of Human Sleep with Efficient Initialization and Stopping., , , and . BIOSIGNALS, page 61-68. SciTePress, (2014)Regression, Classification and Ensemble Machine Learning Approaches to Forecasting Clinical Outcomes in Ischemic Stroke., , , and . BIOSTEC (Selected Papers), volume 881 of Communications in Computer and Information Science, page 376-402. Springer, (2017)Discovery of sleep composition types using expectation-maximization., , , , and . CBMS, page 26-31. IEEE Computer Society, (2010)