Raid Lafta

Orcid: 0000-0001-6301-335X

Affiliations:
  • University of Southern Queensland, School of Agricultural, Computational and Environmental Sciences, Australia


According to our database1, Raid Lafta authored at least 10 papers between 2015 and 2022.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2022
Fast Fourier Transform and Ensemble Model to Classify Epileptic EEG Signals.
Proceedings of the IEEE International Conference on Big Data, 2022

2020
A general extensible learning approach for multi-disease recommendations in a telehealth environment.
Pattern Recognit. Lett., 2020

2019
Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm.
Expert Syst. Appl., 2019

2018
A Recommender System with Advanced Time Series Medical Data Analysis for Diabetes Patients in a Telehealth Environment.
Proceedings of the Database and Expert Systems Applications, 2018

2017
Coupling a Fast Fourier Transformation With a Machine Learning Ensemble Model to Support Recommendations for Heart Disease Patients in a Telehealth Environment.
IEEE Access, 2017

A Fast Fourier Transform-Coupled Machine Learning-Based Ensemble Model for Disease Risk Prediction Using a Real-Life Dataset.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

2016
An intelligent recommender system based on predictive analysis in telehealthcare environment.
Web Intell., 2016

IRS-HD: An Intelligent Personalized Recommender System for Heart Disease Patients in a Tele-Health Environment.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

Adopting Hybrid Descriptors to Recognise Leaf Images for Automatic Plant Specie Identification.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

2015
An Intelligent Recommender System Based on Short-Term Risk Prediction for Heart Disease Patients.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015


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