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Comparison of Deep Learning and Support Vector Machine Learning for Subgroups of Multiple Sclerosis.

, , and . ICCSA (2), volume 10405 of Lecture Notes in Computer Science, page 142-153. Springer, (2017)

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Predicting Outcome of Ischemic Stroke Patients using Bootstrap Aggregating with M5 Model Trees., , , and . HEALTHINF, page 178-187. SciTePress, (2017)Gini Based Learning for the Classification of Alzheimer's Disease and Features Identification with Automatic RGB Segmentation Algorithm., , , and . ICCSA (2), volume 10961 of Lecture Notes in Computer Science, page 92-106. Springer, (2018)Deviation-based Dynamic Time Warping for Clustering Human Sleep., , , and . BIOSIGNALS, page 88-95. SciTePress, (2016)Modeling and Clustering of Human Sleep Time Series Using Dynamic Time Warping: Sequential and Distributed Implementations., , , and . BIOSTEC (Selected Papers), volume 690 of Communications in Computer and Information Science, page 276-294. Springer, (2016)Mining Statistically Significant Associations for Exploratory Analysis of Human Sleep Data., , , and . IEEE Trans. Information Technology in Biomedicine, 10 (3): 440-450 (2006)Mining Associations over Human Sleep Time Series., , , and . CBMS, page 323-328. IEEE Computer Society, (2005)Stroke Subtype Clustering by Multifractal Bayesian Denoising with Fuzzy C Means and K-Means Algorithms., , , and . Complex., (2018)Similarity Grouping of Human Sleep Recordings Using EEG and ECG., , , , and . BIOSTEC (Selected Papers), volume 273 of Communications in Computer and Information Science, page 380-394. Springer, (2011)EEG and ECG Characteristics of Human Sleep Composition Types., , , , and . HEALTHINF, page 97-106. SciTePress, (2011)Theory, Analyses and Predictions of Multifractal Formalism and Multifractal Modelling for Stroke Subtypes' Classification., , , and . ICCSA (2), volume 12250 of Lecture Notes in Computer Science, page 410-425. Springer, (2020)