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ORCIDSalim Lahmiri
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Journal Articles
- 2024
[j31]Bahareh Amirshahi, Salim Lahmiri
:
Bankruptcy prediction using optimal ensemble models under balanced and imbalanced data. Expert Syst. J. Knowl. Eng. 41(8) (2024)- 2023
- [j30]Salim Lahmiri:
Integrating convolutional neural networks, kNN, and Bayesian optimization for efficient diagnosis of Alzheimer's disease in magnetic resonance images. Biomed. Signal Process. Control. 80(Part): 104375 (2023) - 2022
- [j29]Salim Lahmiri, Chakib Tadj, Christian S. Gargour:
Nonlinear Statistical Analysis of Normal and Pathological Infant Cry Signals in Cepstrum Domain by Multifractal Wavelet Leaders. Entropy 24(8): 1166 (2022) - [j28]Salim Lahmiri, Stelios D. Bekiros, Frank Bezzina:
Complexity analysis and forecasting of variations in cryptocurrency trading volume with support vector regression tuned by Bayesian optimization under different kernels: An empirical comparison from a large dataset. Expert Syst. Appl. 209: 118349 (2022) - 2021
- [j27]Salim Lahmiri, Stelios D. Bekiros:
Deep Learning Forecasting in Cryptocurrency High-Frequency Trading. Cogn. Comput. 13(2): 485-487 (2021) - [j26]Salim Lahmiri, Chakib Tadj, Christian S. Gargour:
Biomedical Diagnosis of Infant Cry Signal Based on Analysis of Cepstrum by Deep Feedforward Artificial Neural Networks. IEEE Instrum. Meas. Mag. 24(2): 24-29 (2021) - [j25]Salim Lahmiri, Anastasia Giakoumelou, Stelios D. Bekiros:
An adaptive sequential-filtering learning system for credit risk modeling. Soft Comput. 25(13): 8817-8824 (2021) - [j24]Salim Lahmiri, Anastasia Giakoumelou, Stelios D. Bekiros:
Correction to: An adaptive sequential-filtering learning system for credit risk modeling. Soft Comput. 25(13): 8825 (2021) - 2020
- [j23]Salim Lahmiri:
Hybrid deep learning convolutional neural networks and optimal nonlinear support vector machine to detect presence of hemorrhage in retina. Biomed. Signal Process. Control. 60: 101978 (2020) - [j22]Salim Lahmiri, Stelios D. Bekiros:
Randomness, Informational Entropy, and Volatility Interdependencies among the Major World Markets: The Role of the COVID-19 Pandemic. Entropy 22(8): 833 (2020) - [j21]Salim Lahmiri, Stelios D. Bekiros, Anastasia Giakoumelou, Frank Bezzina:
Performance assessment of ensemble learning systems in financial data classification. Intell. Syst. Account. Finance Manag. 27(1): 3-9 (2020) - [j20]Salim Lahmiri:
A predictive system integrating intrinsic mode functions, artificial neural networks, and genetic algorithms for forecasting S&P500 intra-day data. Intell. Syst. Account. Finance Manag. 27(2): 55-65 (2020) - 2019
- [j19]Salim Lahmiri, Amir Shmuel:
Detection of Parkinson's disease based on voice patterns ranking and optimized support vector machine. Biomed. Signal Process. Control. 49: 427-433 (2019) - [j18]Salim Lahmiri, Amir Shmuel:
Performance of machine learning methods applied to structural MRI and ADAS cognitive scores in diagnosing Alzheimer's disease. Biomed. Signal Process. Control. 52: 414-419 (2019) - [j17]Salim Lahmiri, Amir Shmuel:
Accurate Classification of Seizure and Seizure-Free Intervals of Intracranial EEG Signals From Epileptic Patients. IEEE Trans. Instrum. Meas. 68(3): 791-796 (2019) - [j16]Salim Lahmiri:
Gait Nonlinear Patterns Related to Parkinson's Disease and Age. IEEE Trans. Instrum. Meas. 68(7): 2545-2551 (2019) - 2018
- [j15]Salim Lahmiri:
Minute-ahead stock price forecasting based on singular spectrum analysis and support vector regression. Appl. Math. Comput. 320: 444-451 (2018) - [j14]Salim Lahmiri:
An accurate system to distinguish between normal and abnormal electroencephalogram records with epileptic seizure free intervals. Biomed. Signal Process. Control. 40: 312-317 (2018) - [j13]Salim Lahmiri, Stelios D. Bekiros:
The Informational Dynamics of Mean‒Variance Relationships in Fertilizer Markets: An Entropic Investigation. Entropy 20(9): 677 (2018) - 2017
- [j12]Salim Lahmiri:
Glioma detection based on multi-fractal features of segmented brain MRI by particle swarm optimization techniques. Biomed. Signal Process. Control. 31: 148-155 (2017) - [j11]Salim Lahmiri:
A two-step system for direct bank telemarketing outcome classification. Intell. Syst. Account. Finance Manag. 24(1): 49-55 (2017) - [j10]Salim Lahmiri:
Comparing Variational and Empirical Mode Decomposition in Forecasting Day-Ahead Energy Prices. IEEE Syst. J. 11(3): 1907-1910 (2017) - 2016
- [j9]Salim Lahmiri:
A variational mode decompoisition approach for analysis and forecasting of economic and financial time series. Expert Syst. Appl. 55: 268-273 (2016) - [j8]Salim Lahmiri, Stéphane Gagnon:
Emerging Markets Reward Risk: Empirical Evidence from MENA during 2008 Financial Crisis. Int. J. Innov. Digit. Econ. 7(3): 65-76 (2016) - [j7]Salim Lahmiri:
Features selection, data mining and finacial risk classification: a comparative study. Intell. Syst. Account. Finance Manag. 23(4): 265-275 (2016) - [j6]Salim Lahmiri:
Intraday stock price forecasting based on variational mode decomposition. J. Comput. Sci. 12: 23-27 (2016) - 2014
- [j5]Salim Lahmiri, Mounir Boukadoum, Sylvain Chartier:
Exploring Information Categories and Artificial Neural Networks Numerical Algorithms in S&P500 Trend Prediction: A Comparative Study. Int. J. Strateg. Decis. Sci. 5(1): 76-94 (2014) - [j4]Salim Lahmiri:
Multi-Scaling Analysis of the S&P500 under Different Regimes in Wavelet Domain. Int. J. Strateg. Decis. Sci. 5(2): 43-55 (2014) - [j3]Salim Lahmiri:
Wavelet low- and high-frequency components as features for predicting stock prices with backpropagation neural networks. J. King Saud Univ. Comput. Inf. Sci. 26(2): 218-227 (2014) - 2013
- [j2]Salim Lahmiri:
Forecasting Direction of the S&P500 Movement Using Wavelet Transform and Support Vector Machines. Int. J. Strateg. Decis. Sci. 4(1): 79-89 (2013) - [j1]Salim Lahmiri, Mounir Boukadoum, Sylvain Chartier:
A Supervised Classification System of Financial Data Based on Wavelet Packet and Neural Networks. Int. J. Strateg. Decis. Sci. 4(4): 72-84 (2013)
Conference and Workshop Papers
- 2023
- [c28]Kiana Sharifpour, Salim Lahmiri:
Fake Review Detection Using Rating-Sentiment Inconsistency. ICMLA 2023: 926-931 - 2020
- [c27]Salim Lahmiri:
General Framework for Multi-Classification of EEG Signals Based on Multi-Scale Properties. CCECE 2020: 1-4 - [c26]Salim Lahmiri, Raafat George Saadé, Danielle Morin, Fassil Nebebe:
An Artificial Neural Networks Based Ensemble System to Forecast Bitcoin Daily Trading Volume. Cloudtech 2020: 1-4 - [c25]Salim Lahmiri, Raafat George Saadé, Danielle Morin, Fassil Nebebe:
Learning Analytics based on Bayesian Optimization of Support Vector Machines with Application to Student Success Prediction in Mathematics Course. Cloudtech 2020: 1-5 - 2018
- [c24]Salim Lahmiri, Mounir Boukadoum:
Improved Electromyography Signal Modeling for Myopathy Detection. ISCAS 2018: 1-4 - 2017
- [c23]Salim Lahmiri, Mounir Boukadoum:
An accurate automatic system for distinguishing neuropathy and healthy electromyography signals. ISCAS 2017: 1-4 - [c22]Salim Lahmiri, Mounir Boukadoum:
A comparison of four PDE-spatial denoising systems for molecular images. LASCAS 2017: 1-4 - 2016
- [c21]Salim Lahmiri, Mounir Boukadoum:
Combined partial differential equation filtering and particle swarm optimization for noisy biomedical image segmentation. LASCAS 2016: 363-366 - [c20]Salim Lahmiri, Mounir Boukadoum:
Hybrid Wiener and partial differential equations filter for biomedical image denoising. NEWCAS 2016: 1-4 - 2015
- [c19]Salim Lahmiri, Mounir Boukadoum:
Physiological signal denoising with variational mode decomposition and weighted reconstruction after DWT thresholding. ISCAS 2015: 806-809 - [c18]Salim Lahmiri, Mounir Boukadoum:
Pathology grading in retina digital images using student-adjusted empirical mode decomposition and power law statistics. LASCAS 2015: 1-4 - 2014
- [c17]Salim Lahmiri:
Intelligent Ensemble Systems for Modeling NASDAQ Microstructure: A Comparative Study. ANNPR 2014: 240-251 - [c16]Salim Lahmiri, Mounir Boukadoum:
Biomedical image denoising using variational mode decomposition. BioCAS 2014: 340-343 - [c15]Salim Lahmiri, Mounir Boukadoum:
An evaluation of particle swarm optimization techniques in segmentation of biomedical images. GECCO (Companion) 2014: 1313-1320 - [c14]Salim Lahmiri, Mounir Boukadoum, Antonio Di Ieva:
Detrended fluctuation analysis of brain hemisphere magnetic resonnance images to detect cerebral arteriovenous malformations. ISCAS 2014: 2409-2412 - [c13]Salim Lahmiri, Mounir Boukadoum:
Adjusted empirical mode decomposition with improved performance for signal modeling and prediction. LASCAS 2014: 1-4 - [c12]Salim Lahmiri, Mounir Boukadoum, Antonio Di Ieva:
Fractal-based arteriovenous malformations detection in brain magnetic resonance images. NEWCAS 2014: 21-24 - 2013
- [c11]Salim Lahmiri, Mounir Boukadoum, Sylvain Chartier:
Information fusion and S&P500 trend prediction. AICCSA 2013: 1-7 - [c10]Salim Lahmiri, Mounir Boukadoum:
Lobe asymmetry-based automatic classification of brain magnetic resonance images. ISCAS 2013: 1516-1519 - [c9]Salim Lahmiri, Mounir Boukadoum:
An application of the empirical mode decomposition to brain magnetic resonance images classification. LASCAS 2013: 1-4 - 2012
- [c8]Salim Lahmiri, Christian S. Gargour, Marcel Gabrea:
An empirical mode decomposition approach for automatic diagnosis of retina digital images. CCECE 2012: 1-4 - [c7]Salim Lahmiri, Mounir Boukadoum:
Automatic brain MR images diagnosis based on edge fractal dimension and spectral energy signature. EMBC 2012: 6243-6246 - [c6]Salim Lahmiri, Christian S. Gargour, Marcel Gabrea:
Statistical features selection from intrinsic mode functions for pathologies detection in retina digital images. IECON 2012: 1585-1590 - [c5]Salim Lahmiri, Christian S. Gargour, Marcel Gabrea:
An EMD-SVM screening system for retina digital images: The effect of kernels and parameters. ISSPA 2012: 912-917 - [c4]Salim Lahmiri, Mounir Boukadoum:
Fractal dimension and high order statistics of spectral energy distribution as features for pathology detection in brain MR images. NEWCAS 2012: 293-296 - 2011
- [c3]Salim Lahmiri, Mounir Boukadoum:
Brain MRI classification using an ensemble system and LH and HL wavelet sub-bands features. CIMI 2011: 9-15 - [c2]Salim Lahmiri, Mounir Boukadoum:
Hybrid cosine and Radon transform-based processing for digital mammogram feature extraction and classification with SVM. EMBC 2011: 5104-5107 - [c1]Salim Lahmiri, Mounir Boukadoum:
Classification of brain MRI using the LH and HL wavelet transform sub-bands. ISCAS 2011: 1025-1028
Coauthor Index
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last updated on 2024-08-03 21:18 CEST by the dblp team
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