Brain MRI classification using an ensemble system and LH and HL wavelet sub-bands features. - Salim Lahmiri; Mounir Boukadoum (CIMI, 2011)

Hybrid cosine and Radon transform-based processing for digital mammogram feature extraction and classification with SVM. - Salim Lahmiri; Mounir Boukadoum (EMBC, 2011)

Classification of brain MRI using the LH and HL wavelet transform sub-bands. - Salim Lahmiri; Mounir Boukadoum (ISCAS, 2011)

An empirical mode decomposition approach for automatic diagnosis of retina digital images. - Salim Lahmiri; Christian S. Gargour; Marcel Gabrea (CCECE, 2012)

Automatic brain MR images diagnosis based on edge fractal dimension and spectral energy signature. - Salim Lahmiri; Mounir Boukadoum (EMBC, 2012)

Statistical features selection from intrinsic mode functions for pathologies detection in retina digital images. - Salim Lahmiri; Christian S. Gargour; Marcel Gabrea (IECON, 2012)

An EMD-SVM screening system for retina digital images: The effect of kernels and parameters. - Salim Lahmiri; Christian S. Gargour; Marcel Gabrea (ISSPA, 2012)

Fractal dimension and high order statistics of spectral energy distribution as features for pathology detection in brain MR images. - Salim Lahmiri; Mounir Boukadoum (NEWCAS, 2012)

Information fusion and S&P500 trend prediction. - Salim Lahmiri; Mounir Boukadoum; Sylvain Chartier (AICCSA, 2013)

Lobe asymmetry-based automatic classification of brain magnetic resonance images. - Salim Lahmiri; Mounir Boukadoum (ISCAS, 2013)

An application of the empirical mode decomposition to brain magnetic resonance images classification. - Salim Lahmiri; Mounir Boukadoum (LASCAS, 2013)

Forecasting Direction of the S&P500 Movement Using Wavelet Transform and Support Vector Machines. - Salim Lahmiri (Int. J. Strateg. Decis. Sci., 2013)

A Supervised Classification System of Financial Data Based on Wavelet Packet and Neural Networks. - Salim Lahmiri; Mounir Boukadoum; Sylvain Chartier (Int. J. Strateg. Decis. Sci., 2013)

Intelligent Ensemble Systems for Modeling NASDAQ Microstructure: A Comparative Study. - Salim Lahmiri (ANNPR, 2014)

Biomedical image denoising using variational mode decomposition. - Salim Lahmiri; Mounir Boukadoum (BioCAS, 2014)

An evaluation of particle swarm optimization techniques in segmentation of biomedical images. - Salim Lahmiri; Mounir Boukadoum (GECCO (Companion), 2014)

Detrended fluctuation analysis of brain hemisphere magnetic resonnance images to detect cerebral arteriovenous malformations. - Salim Lahmiri; Mounir Boukadoum; Antonio Di Ieva (ISCAS, 2014)

Adjusted empirical mode decomposition with improved performance for signal modeling and prediction. - Salim Lahmiri; Mounir Boukadoum (LASCAS, 2014)

Fractal-based arteriovenous malformations detection in brain magnetic resonance images. - Salim Lahmiri; Mounir Boukadoum; Antonio Di Ieva (NEWCAS, 2014)

Multi-Scaling Analysis of the S&P500 under Different Regimes in Wavelet Domain. - Salim Lahmiri (Int. J. Strateg. Decis. Sci., 2014)

Exploring Information Categories and Artificial Neural Networks Numerical Algorithms in S&P500 Trend Prediction: A Comparative Study. - Salim Lahmiri; Mounir Boukadoum; Sylvain Chartier (Int. J. Strateg. Decis. Sci., 2014)

Wavelet low- and high-frequency components as features for predicting stock prices with backpropagation neural networks. - Salim Lahmiri (J. King Saud Univ. Comput. Inf. Sci., 2014)

Physiological signal denoising with variational mode decomposition and weighted reconstruction after DWT thresholding. - Salim Lahmiri; Mounir Boukadoum (ISCAS, 2015)

Pathology grading in retina digital images using student-adjusted empirical mode decomposition and power law statistics. - Salim Lahmiri; Mounir Boukadoum (LASCAS, 2015)

Combined partial differential equation filtering and particle swarm optimization for noisy biomedical image segmentation. - Salim Lahmiri; Mounir Boukadoum (LASCAS, 2016)

Hybrid Wiener and partial differential equations filter for biomedical image denoising. - Salim Lahmiri; Mounir Boukadoum (NEWCAS, 2016)

A variational mode decompoisition approach for analysis and forecasting of economic and financial time series. - Salim Lahmiri (Expert Syst. Appl., 2016)

Emerging Markets Reward Risk: Empirical Evidence from MENA during 2008 Financial Crisis. - Salim Lahmiri; Stéphane Gagnon (Int. J. Innov. Digit. Econ., 2016)

Features selection, data mining and finacial risk classification: a comparative study. - Salim Lahmiri (Intell. Syst. Account. Finance Manag., 2016)

Intraday stock price forecasting based on variational mode decomposition. - Salim Lahmiri (J. Comput. Sci., 2016)

An accurate automatic system for distinguishing neuropathy and healthy electromyography signals. - Salim Lahmiri; Mounir Boukadoum (ISCAS, 2017)

A comparison of four PDE-spatial denoising systems for molecular images. - Salim Lahmiri; Mounir Boukadoum (LASCAS, 2017)

Glioma detection based on multi-fractal features of segmented brain MRI by particle swarm optimization techniques. - Salim Lahmiri (Biomed. Signal Process. Control., 2017)

A two-step system for direct bank telemarketing outcome classification. - Salim Lahmiri (Intell. Syst. Account. Finance Manag., 2017)

Comparing Variational and Empirical Mode Decomposition in Forecasting Day-Ahead Energy Prices. - Salim Lahmiri (IEEE Syst. J., 2017)

Improved Electromyography Signal Modeling for Myopathy Detection. - Salim Lahmiri; Mounir Boukadoum (ISCAS, 2018)

Minute-ahead stock price forecasting based on singular spectrum analysis and support vector regression. - Salim Lahmiri (Appl. Math. Comput., 2018)

An accurate system to distinguish between normal and abnormal electroencephalogram records with epileptic seizure free intervals. - Salim Lahmiri (Biomed. Signal Process. Control., 2018)

The Informational Dynamics of Mean‒Variance Relationships in Fertilizer Markets: An Entropic Investigation. - Salim Lahmiri; Stelios D. Bekiros (Entropy, 2018)

Detection of Parkinson's disease based on voice patterns ranking and optimized support vector machine. - Salim Lahmiri; Amir Shmuel (Biomed. Signal Process. Control., 2019)

Performance of machine learning methods applied to structural MRI and ADAS cognitive scores in diagnosing Alzheimer's disease. - Salim Lahmiri; Amir Shmuel (Biomed. Signal Process. Control., 2019)

Gait Nonlinear Patterns Related to Parkinson's Disease and Age. - Salim Lahmiri (IEEE Trans. Instrum. Meas., 2019)

Accurate Classification of Seizure and Seizure-Free Intervals of Intracranial EEG Signals From Epileptic Patients. - Salim Lahmiri; Amir Shmuel (IEEE Trans. Instrum. Meas., 2019)

General Framework for Multi-Classification of EEG Signals Based on Multi-Scale Properties. - Salim Lahmiri (CCECE, 2020)

An Artificial Neural Networks Based Ensemble System to Forecast Bitcoin Daily Trading Volume. - Salim Lahmiri; Raafat George Saadé; Danielle Morin; Fassil Nebebe (Cloudtech, 2020)

Learning Analytics based on Bayesian Optimization of Support Vector Machines with Application to Student Success Prediction in Mathematics Course. - Salim Lahmiri; Raafat George Saadé; Danielle Morin; Fassil Nebebe (Cloudtech, 2020)

Hybrid deep learning convolutional neural networks and optimal nonlinear support vector machine to detect presence of hemorrhage in retina. - Salim Lahmiri (Biomed. Signal Process. Control., 2020)

Randomness, Informational Entropy, and Volatility Interdependencies among the Major World Markets: The Role of the COVID-19 Pandemic. - Salim Lahmiri; Stelios D. Bekiros (Entropy, 2020)

A predictive system integrating intrinsic mode functions, artificial neural networks, and genetic algorithms for forecasting S&P500 intra-day data. - Salim Lahmiri (Intell. Syst. Account. Finance Manag., 2020)

Performance assessment of ensemble learning systems in financial data classification. - Salim Lahmiri; Stelios D. Bekiros; Anastasia Giakoumelou; Frank Bezzina (Intell. Syst. Account. Finance Manag., 2020)

Deep Learning Forecasting in Cryptocurrency High-Frequency Trading. - Salim Lahmiri; Stelios D. Bekiros (Cogn. Comput., 2021)

Biomedical Diagnosis of Infant Cry Signal Based on Analysis of Cepstrum by Deep Feedforward Artificial Neural Networks. - Salim Lahmiri; Chakib Tadj; Christian S. Gargour (IEEE Instrum. Meas. Mag., 2021)

An adaptive sequential-filtering learning system for credit risk modeling. - Salim Lahmiri; Anastasia Giakoumelou; Stelios D. Bekiros (Soft Comput., 2021)

Correction to: An adaptive sequential-filtering learning system for credit risk modeling. - Salim Lahmiri; Anastasia Giakoumelou; Stelios D. Bekiros (Soft Comput., 2021)

Nonlinear Statistical Analysis of Normal and Pathological Infant Cry Signals in Cepstrum Domain by Multifractal Wavelet Leaders. - Salim Lahmiri; Chakib Tadj; Christian S. Gargour (Entropy, 2022)

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. - Salim Lahmiri; Stelios D. Bekiros; Frank Bezzina (Expert Syst. Appl., 2022)

Fake Review Detection Using Rating-Sentiment Inconsistency. - Kiana Sharifpour; Salim Lahmiri (ICMLA, 2023)

Integrating convolutional neural networks, kNN, and Bayesian optimization for efficient diagnosis of Alzheimer's disease in magnetic resonance images. - Salim Lahmiri (Biomed. Signal Process. Control., 2023)

Bankruptcy prediction using optimal ensemble models under balanced and imbalanced data. - Bahareh Amirshahi; Salim Lahmiri (Expert Syst. J. Knowl. Eng., 2024)

An NLP-Deep Learning Approach for Product Rating Prediction Based on Online Reviews and Product Features. - Tolou Amirifar; Salim Lahmiri; Masoumeh Kazemi Zanjani (IEEE Trans. Comput. Soc. Syst., 2024)

Comprehensive analysis of Transformer networks in identifying informative sentences containing customer needs. - Mehrshad Kashi; Salim Lahmiri; Otmane Aït Mohamed (Expert Syst. Appl., 2025)

Investigating the effectiveness of Twitter sentiment in cryptocurrency close price prediction by using deep learning. - Bahareh Amirshahi; Salim Lahmiri (Expert Syst. J. Knowl. Eng., 2025)