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Majaz Moonis
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Journal Articles
- 2019
- [j3]Yeliz Karaca, Majaz Moonis, Yudong Zhang, Caner Gezgez:
Mobile cloud computing based stroke healthcare system. Int. J. Inf. Manag. 45: 250-261 (2019) - 2018
- [j2]Yeliz Karaca, Carlo Cattani, Majaz Moonis, Sengül Bayrak:
Stroke Subtype Clustering by Multifractal Bayesian Denoising with Fuzzy C Means and K-Means Algorithms. Complex. 2018: 9034647:1-9034647:15 (2018) - 2006
- [j1]Parameshvyas Laxminarayan, Sergio A. Alvarez, Carolina Ruiz, Majaz Moonis:
Mining Statistically Significant Associations for Exploratory Analysis of Human Sleep Data. IEEE Trans. Inf. Technol. Biomed. 10(3): 440-450 (2006)
Conference and Workshop Papers
- 2020
- [c17]Yeliz Karaca, Dumitru Baleanu, Majaz Moonis, Yu-Dong Zhang:
Theory, Analyses and Predictions of Multifractal Formalism and Multifractal Modelling for Stroke Subtypes' Classification. ICCSA (2) 2020: 410-425 - 2019
- [c16]Yeliz Karaca, Majaz Moonis, Yudong Zhang:
Multifractal Analysis with L2 Norm Denoising Technique: Modelling of MS Subgroups Classification. ICCSA (2) 2019: 257-269 - 2018
- [c15]Yeliz Karaca, Majaz Moonis, Abul Hasan Siddiqi, Basar Turan:
Gini Based Learning for the Classification of Alzheimer's Disease and Features Identification with Automatic RGB Segmentation Algorithm. ICCSA (2) 2018: 92-106 - 2017
- [c14]Ahmedul Kabir, Carolina Ruiz, Sergio A. Alvarez, Majaz Moonis:
Predicting Outcome of Ischemic Stroke Patients using Bootstrap Aggregating with M5 Model Trees. HEALTHINF 2017: 178-187 - [c13]Ahmedul Kabir, Carolina Ruiz, Sergio A. Alvarez, Majaz Moonis:
Regression, Classification and Ensemble Machine Learning Approaches to Forecasting Clinical Outcomes in Ischemic Stroke. BIOSTEC (Selected Papers) 2017: 376-402 - [c12]Yeliz Karaca, Carlo Cattani, Majaz Moonis:
Comparison of Deep Learning and Support Vector Machine Learning for Subgroups of Multiple Sclerosis. ICCSA (2) 2017: 142-153 - 2016
- [c11]Chiying Wang, Sergio A. Alvarez, Carolina Ruiz, Majaz Moonis:
Deviation-based Dynamic Time Warping for Clustering Human Sleep. BIOSIGNALS 2016: 88-95 - [c10]Chiying Wang, Sergio A. Alvarez, Carolina Ruiz, Majaz Moonis:
Modeling and Clustering of Human Sleep Time Series Using Dynamic Time Warping: Sequential and Distributed Implementations. BIOSTEC (Selected Papers) 2016: 276-294 - 2015
- [c9]Ahmedul Kabir, Carolina Ruiz, Sergio A. Alvarez, Nazish Riaz, Majaz Moonis:
Model-based Clustering of Ischemic Stroke Patients. HEALTHINF 2015: 172-181 - 2014
- [c8]Chiying Wang, Sergio A. Alvarez, Carolina Ruiz, Majaz Moonis:
Semi-Markov Modeling-Clustering of Human Sleep with Efficient Initialization and Stopping. BIOSIGNALS 2014: 61-68 - 2013
- [c7]Chiying Wang, Sergio A. Alvarez, Carolina Ruiz, Majaz Moonis:
Computational Modeling of Sleep Stage Dynamics using Weibull Semi-Markov Chains. HEALTHINF 2013: 122-130 - 2012
- [c6]Francis W. Usher, Chiying Wang, Sergio A. Alvarez, Carolina Ruiz, Majaz Moonis:
Machine Learning of Human Sleep Patterns based on Stage Bout Durations. HEALTHINF 2012: 71-80 - [c5]Chiying Wang, Francis W. Usher, Sergio A. Alvarez, Carolina Ruiz, Majaz Moonis:
Clustering of Human Sleep Recordings Using a Quantile Representation of Stage Bout Durations. BIOSTEC (Selected Papers) 2012: 369-384 - 2011
- [c4]Amro Khasawneh, Sergio A. Alvarez, Carolina Ruiz, Shivin Misra, Majaz Moonis:
EEG and ECG Characteristics of Human Sleep Composition Types. HEALTHINF 2011: 97-106 - [c3]Amro Khasawneh, Sergio A. Alvarez, Carolina Ruiz, Shivin Misra, Majaz Moonis:
Similarity Grouping of Human Sleep Recordings Using EEG and ECG. BIOSTEC (Selected Papers) 2011: 380-394 - 2010
- [c2]Amro Khasawneh, Sergio A. Alvarez, Carolina Ruiz, Shivin Misra, Majaz Moonis:
Discovery of sleep composition types using expectation-maximization. CBMS 2010: 26-31 - 2005
- [c1]Parameshvyas Laxminarayan, Carolina Ruiz, Sergio A. Alvarez, Majaz Moonis:
Mining Associations over Human Sleep Time Series. CBMS 2005: 323-328
Coauthor Index
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