Aziz Guergachi
According to our database1,
Aziz Guergachi
authored at least 39 papers
between 2003 and 2023.
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Bibliography
2023
Applying Patient Segmentation Using Primary Care Electronic Medical Records to Develop a Virtual Peer-to-Peer Intervention for Patients with Type 2 Diabetes.
Future Internet, April, 2023
Characterization of Inclination Analysis for Predicting Onset of Heart Failure from Primary Care Electronic Medical Records.
Sensors, 2023
2022
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022
2021
Comparison of Empirical Mode Decomposition, Wavelets, and Different Machine Learning Approaches for Patient-Specific Seizure Detection Using Signal-Derived Empirical Dictionary Approach.
Frontiers Digit. Health, 2021
2020
Handling Irregularly Sampled Longitudinal Data and Prognostic Modeling of Diabetes Using Machine Learning Technique.
IEEE Access, 2020
2019
Metabolic Syndrome and Development of Diabetes Mellitus: Predictive Modeling Based on Machine Learning Techniques.
IEEE Access, 2019
Proceedings of the Improving Usability, Safety and Patient Outcomes with Health Information Technology, 2019
Proceedings of the Improving Usability, Safety and Patient Outcomes with Health Information Technology, 2019
Proceedings of the 8th International Conference on Data Science, 2019
2018
Biomed. Signal Process. Control., 2018
Text Categorization Approach for Secure Design Pattern Selection Using Software Requirement Specification.
IEEE Access, 2018
2017
Signal Image Video Process., 2017
Artif. Intell. Rev., 2017
Proceedings of the Building Capacity for Health Informatics in the Future, 2017
Proceedings of the Building Capacity for Health Informatics in the Future, 2017
2014
Proceedings of the IEEE 27th Canadian Conference on Electrical and Computer Engineering, 2014
2013
Pathological speech signal analysis and classification using empirical mode decomposition.
Medical Biol. Eng. Comput., 2013
Knowl. Based Syst., 2013
A variation of empirical mode decomposition with intelligent peak selection in short time windows.
Proceedings of the IEEE International Conference on Acoustics, 2013
EEG seizure detection and epilepsy diagnosis using a novel variation of Empirical Mode Decomposition.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Application of a variation of empirical mode decomposition and teager energy operator to EEG signals for mental task classification.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2011
IEEE Trans. Inf. Technol. Biomed., 2011
Knowl. Based Syst., 2011
Telephone-quality pathological speech classification using empirical mode decomposition.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2009
Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009
Proceedings of the IEEE International Conference on Systems, 2009
Using heavy-tailed distributions to stress-test kernel methods for segregating the .rms that are likely to survive.
Proceedings of the IEEE International Conference on Systems, 2009
Identifying the potential for Failure of Businesses in the Technology, Pharmaceutical and Banking Sectors using Kernel-based Machine Learning Methods.
Proceedings of the IEEE International Conference on Systems, 2009
2008
Proceedings of the Learning from the past & charting the future of the discipline. 14th Americas Conference on Information Systems, 2008
2007
Chaotic time series prediction using knowledge based Green's Kernel and least-squares support vector machines.
Proceedings of the IEEE International Conference on Systems, 2007
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007
2006
Support Vector Machines Based Approach for Chemical Phosphorus Removal Process in Wastewater Treatment Plant.
Proceedings of the Canadian Conference on Electrical and Computer Engineering, 2006
2005
On the Conditions of the VC Theory for Statistical Learning Applied to the Evaluation of Models for Complex Systems.
Proceedings of the IEEE International Conference on Systems, 2005
2003
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2003