Salim Lahmiri

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 35

Top Topics

Top Venues

Biomed. Signal Process. Control.

Intell. Syst. Account. Finance Manag.

Publications

Bahareh Amirshahi, Salim Lahmiri
Bankruptcy prediction using optimal ensemble models under balanced and imbalanced data. Expert Syst. J. Knowl. Eng. 41 (8) (2024)
Salim Lahmiri
NN, and Bayesian optimization for efficient diagnosis of Alzheimer's disease in magnetic resonance images. Biomed. Signal Process. Control. 80 (Part) (2023)
Kiana Sharifpour, Salim Lahmiri
Fake Review Detection Using Rating-Sentiment Inconsistency. ICMLA (2023)
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) (2022)
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 (2022)
Salim Lahmiri, Stelios D. Bekiros
Deep Learning Forecasting in Cryptocurrency High-Frequency Trading. Cogn. Comput. 13 (2) (2021)
Salim Lahmiri, Anastasia Giakoumelou, Stelios D. Bekiros
An adaptive sequential-filtering learning system for credit risk modeling. Soft Comput. 25 (13) (2021)
Salim Lahmiri, Anastasia Giakoumelou, Stelios D. Bekiros
Correction to: An adaptive sequential-filtering learning system for credit risk modeling. Soft Comput. 25 (13) (2021)
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) (2021)
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) (2020)
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 (2020)
Salim Lahmiri, Raafat George Saadé, Danielle Morin, Fassil Nebebe
An Artificial Neural Networks Based Ensemble System to Forecast Bitcoin Daily Trading Volume. Cloudtech (2020)
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) (2020)
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) (2020)
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)
Salim Lahmiri
General Framework for Multi-Classification of EEG Signals Based on Multi-Scale Properties. CCECE (2020)
Salim Lahmiri
Gait Nonlinear Patterns Related to Parkinson's Disease and Age. IEEE Trans. Instrum. Meas. 68 (7) (2019)
Salim Lahmiri, Amir Shmuel
Detection of Parkinson's disease based on voice patterns ranking and optimized support vector machine. Biomed. Signal Process. Control. 49 (2019)
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) (2019)
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 (2019)
Salim Lahmiri, Mounir Boukadoum
Improved Electromyography Signal Modeling for Myopathy Detection. ISCAS (2018)
Salim Lahmiri
An accurate system to distinguish between normal and abnormal electroencephalogram records with epileptic seizure free intervals. Biomed. Signal Process. Control. 40 (2018)
Salim Lahmiri, Stelios D. Bekiros
The Informational Dynamics of Mean‒Variance Relationships in Fertilizer Markets: An Entropic Investigation. Entropy 20 (9) (2018)
Salim Lahmiri
Minute-ahead stock price forecasting based on singular spectrum analysis and support vector regression. Appl. Math. Comput. 320 (2018)
Salim Lahmiri
Glioma detection based on multi-fractal features of segmented brain MRI by particle swarm optimization techniques. Biomed. Signal Process. Control. 31 (2017)
Salim Lahmiri, Mounir Boukadoum
A comparison of four PDE-spatial denoising systems for molecular images. LASCAS (2017)
Salim Lahmiri
A two-step system for direct bank telemarketing outcome classification. Intell. Syst. Account. Finance Manag. 24 (1) (2017)
Salim Lahmiri
Comparing Variational and Empirical Mode Decomposition in Forecasting Day-Ahead Energy Prices. IEEE Syst. J. 11 (3) (2017)
Salim Lahmiri, Mounir Boukadoum
An accurate automatic system for distinguishing neuropathy and healthy electromyography signals. ISCAS (2017)
Salim Lahmiri, Stéphane Gagnon
Emerging Markets Reward Risk: Empirical Evidence from MENA during 2008 Financial Crisis. Int. J. Innov. Digit. Econ. 7 (3) (2016)
Salim Lahmiri, Mounir Boukadoum
Hybrid Wiener and partial differential equations filter for biomedical image denoising. NEWCAS (2016)
Salim Lahmiri
Intraday stock price forecasting based on variational mode decomposition. J. Comput. Sci. 12 (2016)
Salim Lahmiri, Mounir Boukadoum
Combined partial differential equation filtering and particle swarm optimization for noisy biomedical image segmentation. LASCAS (2016)
Salim Lahmiri
Features selection, data mining and finacial risk classification: a comparative study. Intell. Syst. Account. Finance Manag. 23 (4) (2016)
Salim Lahmiri
A variational mode decompoisition approach for analysis and forecasting of economic and financial time series. Expert Syst. Appl. 55 (2016)
Salim Lahmiri, Mounir Boukadoum
Physiological signal denoising with variational mode decomposition and weighted reconstruction after DWT thresholding. ISCAS (2015)
Salim Lahmiri, Mounir Boukadoum
Pathology grading in retina digital images using student-adjusted empirical mode decomposition and power law statistics. LASCAS (2015)
Salim Lahmiri, Mounir Boukadoum
Adjusted empirical mode decomposition with improved performance for signal modeling and prediction. LASCAS (2014)
Salim Lahmiri, Mounir Boukadoum, Antonio Di Ieva
Fractal-based arteriovenous malformations detection in brain magnetic resonance images. NEWCAS (2014)
Salim Lahmiri, Mounir Boukadoum, Antonio Di Ieva
Detrended fluctuation analysis of brain hemisphere magnetic resonnance images to detect cerebral arteriovenous malformations. ISCAS (2014)
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) (2014)
Salim Lahmiri
Intelligent Ensemble Systems for Modeling NASDAQ Microstructure: A Comparative Study. ANNPR (2014)
Salim Lahmiri
Multi-Scaling Analysis of the S&P500 under Different Regimes in Wavelet Domain. Int. J. Strateg. Decis. Sci. 5 (2) (2014)
Salim Lahmiri, Mounir Boukadoum
Biomedical image denoising using variational mode decomposition. BioCAS (2014)
Salim Lahmiri, Mounir Boukadoum
An evaluation of particle swarm optimization techniques in segmentation of biomedical images. GECCO (Companion) (2014)
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) (2014)
Salim Lahmiri, Mounir Boukadoum, Sylvain Chartier
Information fusion and S&P500 trend prediction. AICCSA (2013)
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) (2013)
Salim Lahmiri, Mounir Boukadoum
An application of the empirical mode decomposition to brain magnetic resonance images classification. LASCAS (2013)
Salim Lahmiri
Forecasting Direction of the S&P500 Movement Using Wavelet Transform and Support Vector Machines. Int. J. Strateg. Decis. Sci. 4 (1) (2013)
Salim Lahmiri, Mounir Boukadoum
Lobe asymmetry-based automatic classification of brain magnetic resonance images. ISCAS (2013)
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)
Salim Lahmiri, Christian S. Gargour, Marcel Gabrea
Statistical features selection from intrinsic mode functions for pathologies detection in retina digital images. IECON (2012)
Salim Lahmiri, Christian S. Gargour, Marcel Gabrea
An EMD-SVM screening system for retina digital images: The effect of kernels and parameters. ISSPA (2012)
Salim Lahmiri, Christian S. Gargour, Marcel Gabrea
An empirical mode decomposition approach for automatic diagnosis of retina digital images. CCECE (2012)
Salim Lahmiri, Mounir Boukadoum
Automatic brain MR images diagnosis based on edge fractal dimension and spectral energy signature. EMBC (2012)
Salim Lahmiri, Mounir Boukadoum
Hybrid cosine and Radon transform-based processing for digital mammogram feature extraction and classification with SVM. EMBC (2011)
Salim Lahmiri, Mounir Boukadoum
Classification of brain MRI using the LH and HL wavelet transform sub-bands. ISCAS (2011)
Salim Lahmiri, Mounir Boukadoum
Brain MRI classification using an ensemble system and LH and HL wavelet sub-bands features. CIMI (2011)