Salim Lahmiri
Salim Lahmiri
Assistant Professor of AI & Data Science, John Molson School of Business, Concordia University
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Cryptocurrency forecasting with deep learning chaotic neural networks
S Lahmiri, S Bekiros
Chaos, Solitons & Fractals 118, 35-40, 2019
A variational mode decompoisition approach for analysis and forecasting of economic and financial time series
S Lahmiri
Expert Systems with Applications 55, 268-273, 2016
Chaos, randomness and multi-fractality in Bitcoin market
S Lahmiri, S Bekiros
Chaos, solitons & fractals 106, 28-34, 2018
Comparative study of ECG signal denoising by wavelet thresholding in empirical and variational mode decomposition domains
S Lahmiri
Healthcare technology letters 1 (3), 104-109, 2014
The impact of COVID-19 pandemic upon stability and sequential irregularity of equity and cryptocurrency markets
S Lahmiri, S Bekiros
Chaos, Solitons & Fractals 138, 109936, 2020
Long-range memory, distributional variation and randomness of bitcoin volatility
S Lahmiri, S Bekiros, A Salvi
Chaos, Solitons & Fractals 107, 43-48, 2018
Comparing variational and empirical mode decomposition in forecasting day-ahead energy prices
S Lahmiri
IEEE Systems Journal 11 (3), 1907-1910, 2015
Glioma detection based on multi-fractal features of segmented brain MRI by particle swarm optimization techniques
S Lahmiri
Biomedical Signal Processing and Control 31, 148-155, 2017
Long memory in international financial markets trends and short movements during 2008 financial crisis based on variational mode decomposition and detrended fluctuation analysis
S Lahmiri
Physica A: Statistical Mechanics and its Applications 437, 130-138, 2015
Wavelet low-and high-frequency components as features for predicting stock prices with backpropagation neural networks
S Lahmiri
Journal of King Saud University-Computer and Information Sciences 26 (2 …, 2014
A comparative study of backpropagation algorithms in financial prediction
S Lahmiri
International Journal of Computer Science, Engineering and Applications …, 2011
Intraday stock price forecasting based on variational mode decomposition
S Lahmiri
Journal of Computational Science 12, 23-27, 2016
Performance of machine learning methods in diagnosing Parkinson’s disease based on dysphonia measures
S Lahmiri, DA Dawson, A Shmuel
Biomedical engineering letters 8 (1), 29-39, 2018
Hybrid discrete wavelet transform and gabor filter banks processing for features extraction from biomedical images
S Lahmiri, M Boukadoum
Journal of medical engineering 2013, 2013
Minute-ahead stock price forecasting based on singular spectrum analysis and support vector regression
S Lahmiri
Applied Mathematics and Computation 320, 444-451, 2018
Biomedical image denoising using variational mode decomposition
S Lahmiri, M Boukadoum
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings …, 2014
Physiological signal denoising with variational mode decomposition and weighted reconstruction after DWT thresholding
S Lahmiri, M Boukadoum
2015 IEEE international symposium on circuits and systems (ISCAS), 806-809, 2015
Detection of Parkinson’s disease based on voice patterns ranking and optimized support vector machine
S Lahmiri, A Shmuel
Biomedical Signal Processing and Control 49, 427-433, 2019
Modeling and predicting historical volatility in exchange rate markets
S Lahmiri
Physica A: Statistical Mechanics and its Applications 471, 387-395, 2017
A comparison of PNN and SVM for stock market trend prediction using economic and technical information
S Lahmiri
International Journal of Computer Applications 29 (3), 24-30, 2011
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