Majaz Moonis

According to our database1, Majaz Moonis authored at least 20 papers between 2005 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Theory, Analyses and Predictions of Multifractal Formalism and Multifractal Modelling for Stroke Subtypes' Classification.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

2019
Mobile cloud computing based stroke healthcare system.
Int. J. Inf. Manag., 2019

Multifractal Analysis with L2 Norm Denoising Technique: Modelling of MS Subgroups Classification.
Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

2018
Stroke Subtype Clustering by Multifractal Bayesian Denoising with Fuzzy C Means and K-Means Algorithms.
Complex., 2018

Gini Based Learning for the Classification of Alzheimer's Disease and Features Identification with Automatic RGB Segmentation Algorithm.
Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018

2017
Comparison of Deep Learning and Support Vector Machine Learning for Subgroups of Multiple Sclerosis.
Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

Regression, Classification and Ensemble Machine Learning Approaches to Forecasting Clinical Outcomes in Ischemic Stroke.
Proceedings of the Biomedical Engineering Systems and Technologies, 2017

Predicting Outcome of Ischemic Stroke Patients using Bootstrap Aggregating with M5 Model Trees.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

2016
Modeling and Clustering of Human Sleep Time Series Using Dynamic Time Warping: Sequential and Distributed Implementations.
Proceedings of the Biomedical Engineering Systems and Technologies, 2016

Deviation-based Dynamic Time Warping for Clustering Human Sleep.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

2015
Model-based Clustering of Ischemic Stroke Patients.
Proceedings of the HEALTHINF 2015, 2015

2014
Semi-Markov Modeling-Clustering of Human Sleep with Efficient Initialization and Stopping.
Proceedings of the BIOSIGNALS 2014, 2014

2013
Computational Modeling of Sleep Stage Dynamics using Weibull Semi-Markov Chains.
Proceedings of the HEALTHINF 2013, 2013

2012
Clustering of Human Sleep Recordings Using a Quantile Representation of Stage Bout Durations.
Proceedings of the Biomedical Engineering Systems and Technologies, 2012

Machine Learning of Human Sleep Patterns based on Stage Bout Durations.
Proceedings of the HEALTHINF 2012 - Proceedings of the International Conference on Health Informatics, Vilamoura, Algarve, Portugal, 1, 2012

2011
Similarity Grouping of Human Sleep Recordings Using EEG and ECG.
Proceedings of the Biomedical Engineering Systems and Technologies, 2011

EEG and ECG Characteristics of Human Sleep Composition Types.
Proceedings of the HEALTHINF 2011, 2011

2010
Discovery of sleep composition types using expectation-maximization.
Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010

2006
Mining Statistically Significant Associations for Exploratory Analysis of Human Sleep Data.
IEEE Trans. Inf. Technol. Biomed., 2006

2005
Mining Associations over Human Sleep Time Series.
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005


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