| Cryptocurrency forecasting with deep learning chaotic neural networks S Lahmiri, S Bekiros Chaos, Solitons & Fractals 118, 35-40, 2019 | 343 | 2019 |
| 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 | 245 | 2020 |
| 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 | 197 | 2016 |
| Chaos, randomness and multi-fractality in Bitcoin market S Lahmiri, S Bekiros Chaos, solitons & fractals 106, 28-34, 2018 | 186 | 2018 |
| Long-range memory, distributional variation and randomness of bitcoin volatility S Lahmiri, S Bekiros, A Salvi Chaos, Solitons & Fractals 107, 43-48, 2018 | 158 | 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 | 151 | 2014 |
| Comparing variational and empirical mode decomposition in forecasting day-ahead energy prices S Lahmiri IEEE Systems Journal 11 (3), 1907-1910, 2015 | 147 | 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 | 134 | 2017 |
| 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 | 127 | 2014 |
| Performance of machine learning methods in diagnosing Parkinson’s disease based on dysphonia measures S Lahmiri, DA Dawson, A Shmuel Biomedical engineering letters 8, 29-39, 2018 | 120 | 2018 |
| 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 | 115 | 2019 |
| 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 | 105 | 2015 |
| Minute-ahead stock price forecasting based on singular spectrum analysis and support vector regression S Lahmiri Applied Mathematics and Computation 320, 444-451, 2018 | 102 | 2018 |
| Performance of machine learning methods applied to structural MRI and ADAS cognitive scores in diagnosing Alzheimer’s disease S Lahmiri, A Shmuel Biomedical Signal Processing and Control 52, 414-419, 2019 | 97 | 2019 |
| Intraday stock price forecasting based on variational mode decomposition S Lahmiri Journal of Computational Science 12, 23-27, 2016 | 97 | 2016 |
| Accurate classification of seizure and seizure-free intervals of intracranial EEG signals from epileptic patients S Lahmiri, A Shmuel IEEE Transactions on Instrumentation and Measurement 68 (3), 791-796, 2018 | 90 | 2018 |
| A comparative study of backpropagation algorithms in financial prediction S Lahmiri International Journal of Computer Science, Engineering and Applications …, 2011 | 86 | 2011 |
| Biomedical image denoising using variational mode decomposition S Lahmiri, M Boukadoum 2014 IEEE biomedical circuits and systems conference (BioCAS) proceedings …, 2014 | 85 | 2014 |
| Hybrid discrete wavelet transform and gabor filter banks processing for features extraction from biomedical images S Lahmiri, M Boukadoum Journal of medical engineering 2013 (1), 104684, 2013 | 82 | 2013 |
| Intelligent forecasting with machine learning trading systems in chaotic intraday Bitcoin market S Lahmiri, S Bekiros Chaos, Solitons & Fractals 133, 109641, 2020 | 79 | 2020 |
