Mining Associations over Human Sleep Time Series. - Parameshvyas Laxminarayan; Carolina Ruiz; Sergio A. Alvarez; Majaz Moonis (CBMS, 2005)

Mining Statistically Significant Associations for Exploratory Analysis of Human Sleep Data. - Parameshvyas Laxminarayan; Sergio A. Alvarez; Carolina Ruiz; Majaz Moonis (IEEE Trans. Inf. Technol. Biomed., 2006)

Discovery of sleep composition types using expectation-maximization. - Amro Khasawneh; Sergio A. Alvarez; Carolina Ruiz; Shivin Misra; Majaz Moonis (CBMS, 2010)

EEG and ECG Characteristics of Human Sleep Composition Types. - Amro Khasawneh; Sergio A. Alvarez; Carolina Ruiz; Shivin Misra; Majaz Moonis (HEALTHINF, 2011)

Similarity Grouping of Human Sleep Recordings Using EEG and ECG. - Amro Khasawneh; Sergio A. Alvarez; Carolina Ruiz; Shivin Misra; Majaz Moonis (BIOSTEC (Selected Papers), 2011)

Machine Learning of Human Sleep Patterns based on Stage Bout Durations. - Francis W. Usher; Chiying Wang; Sergio A. Alvarez; Carolina Ruiz; Majaz Moonis (HEALTHINF, 2012)

Clustering of Human Sleep Recordings Using a Quantile Representation of Stage Bout Durations. - Chiying Wang; Francis W. Usher; Sergio A. Alvarez; Carolina Ruiz; Majaz Moonis (BIOSTEC (Selected Papers), 2012)

Computational Modeling of Sleep Stage Dynamics using Weibull Semi-Markov Chains. - Chiying Wang; Sergio A. Alvarez; Carolina Ruiz; Majaz Moonis (HEALTHINF, 2013)

Semi-Markov Modeling-Clustering of Human Sleep with Efficient Initialization and Stopping. - Chiying Wang; Sergio A. Alvarez; Carolina Ruiz; Majaz Moonis (BIOSIGNALS, 2014)

Model-based Clustering of Ischemic Stroke Patients. - Ahmedul Kabir; Carolina Ruiz; Sergio A. Alvarez; Nazish Riaz; Majaz Moonis (HEALTHINF, 2015)

Deviation-based Dynamic Time Warping for Clustering Human Sleep. - Chiying Wang; Sergio A. Alvarez; Carolina Ruiz; Majaz Moonis (BIOSIGNALS, 2016)

Modeling and Clustering of Human Sleep Time Series Using Dynamic Time Warping: Sequential and Distributed Implementations. - Chiying Wang; Sergio A. Alvarez; Carolina Ruiz; Majaz Moonis (BIOSTEC (Selected Papers), 2016)

Predicting Outcome of Ischemic Stroke Patients using Bootstrap Aggregating with M5 Model Trees. - Ahmedul Kabir; Carolina Ruiz; Sergio A. Alvarez; Majaz Moonis (HEALTHINF, 2017)

Regression, Classification and Ensemble Machine Learning Approaches to Forecasting Clinical Outcomes in Ischemic Stroke. - Ahmedul Kabir; Carolina Ruiz; Sergio A. Alvarez; Majaz Moonis (BIOSTEC (Selected Papers), 2017)

Comparison of Deep Learning and Support Vector Machine Learning for Subgroups of Multiple Sclerosis. - Yeliz Karaca; Carlo Cattani; Majaz Moonis (ICCSA (2), 2017)

Gini Based Learning for the Classification of Alzheimer's Disease and Features Identification with Automatic RGB Segmentation Algorithm. - Yeliz Karaca; Majaz Moonis; Abul Hasan Siddiqi; Basar Turan (ICCSA (2), 2018)

Stroke Subtype Clustering by Multifractal Bayesian Denoising with Fuzzy C Means and K-Means Algorithms. - Yeliz Karaca; Carlo Cattani; Majaz Moonis; Sengül Bayrak (Complex., 2018)

Multifractal Analysis with L2 Norm Denoising Technique: Modelling of MS Subgroups Classification. - Yeliz Karaca; Majaz Moonis; Yudong Zhang 001 (ICCSA (2), 2019)

Mobile cloud computing based stroke healthcare system. - Yeliz Karaca; Majaz Moonis; Yudong Zhang 001; Caner Gezgez (Int. J. Inf. Manag., 2019)

Theory, Analyses and Predictions of Multifractal Formalism and Multifractal Modelling for Stroke Subtypes' Classification. - Yeliz Karaca; Dumitru Baleanu; Majaz Moonis; Yu-Dong Zhang 001 (ICCSA (2), 2020)