Salim Lahmiri

Orcid: 0000-0002-9237-4100

According to our database1, Salim Lahmiri authored at least 59 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Bankruptcy prediction using optimal ensemble models under balanced and imbalanced data.
Expert Syst. J. Knowl. Eng., August, 2024

2023
Integrating convolutional neural networks, <i>k</i>NN, and Bayesian optimization for efficient diagnosis of Alzheimer's disease in magnetic resonance images.
Biomed. Signal Process. Control., 2023

Fake Review Detection Using Rating-Sentiment Inconsistency.
Proceedings of the International Conference on Machine Learning and Applications, 2023

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.
Expert Syst. Appl., 2022

Nonlinear Statistical Analysis of Normal and Pathological Infant Cry Signals in Cepstrum Domain by Multifractal Wavelet Leaders.
Entropy, 2022

2021
Correction to: An adaptive sequential-filtering learning system for credit risk modeling.
Soft Comput., 2021

An adaptive sequential-filtering learning system for credit risk modeling.
Soft Comput., 2021

Biomedical Diagnosis of Infant Cry Signal Based on Analysis of Cepstrum by Deep Feedforward Artificial Neural Networks.
IEEE Instrum. Meas. Mag., 2021

Deep Learning Forecasting in Cryptocurrency High-Frequency Trading.
Cogn. Comput., 2021

2020
Performance assessment of ensemble learning systems in financial data classification.
Intell. Syst. Account. Finance Manag., 2020

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., 2020

Randomness, Informational Entropy, and Volatility Interdependencies among the Major World Markets: The Role of the COVID-19 Pandemic.
Entropy, 2020

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

Learning Analytics based on Bayesian Optimization of Support Vector Machines with Application to Student Success Prediction in Mathematics Course.
Proceedings of the 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications, 2020

An Artificial Neural Networks Based Ensemble System to Forecast Bitcoin Daily Trading Volume.
Proceedings of the 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications, 2020

General Framework for Multi-Classification of EEG Signals Based on Multi-Scale Properties.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2020

2019
Accurate Classification of Seizure and Seizure-Free Intervals of Intracranial EEG Signals From Epileptic Patients.
IEEE Trans. Instrum. Meas., 2019

Gait Nonlinear Patterns Related to Parkinson's Disease and Age.
IEEE Trans. Instrum. Meas., 2019

Performance of machine learning methods applied to structural MRI and ADAS cognitive scores in diagnosing Alzheimer's disease.
Biomed. Signal Process. Control., 2019

Detection of Parkinson's disease based on voice patterns ranking and optimized support vector machine.
Biomed. Signal Process. Control., 2019

2018
The Informational Dynamics of Mean‒Variance Relationships in Fertilizer Markets: An Entropic Investigation.
Entropy, 2018

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

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

Improved Electromyography Signal Modeling for Myopathy Detection.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

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

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

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

A comparison of four PDE-spatial denoising systems for molecular images.
Proceedings of the 8th IEEE Latin American Symposium on Circuits & Systems, 2017

An accurate automatic system for distinguishing neuropathy and healthy electromyography signals.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

2016
Intraday stock price forecasting based on variational mode decomposition.
J. Comput. Sci., 2016

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

Emerging Markets Reward Risk: Empirical Evidence from MENA during 2008 Financial Crisis.
Int. J. Innov. Digit. Econ., 2016

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

Hybrid Wiener and partial differential equations filter for biomedical image denoising.
Proceedings of the 14th IEEE International New Circuits and Systems Conference, 2016

Combined partial differential equation filtering and particle swarm optimization for noisy biomedical image segmentation.
Proceedings of the IEEE 7th Latin American Symposium on Circuits & Systems, 2016

2015
Pathology grading in retina digital images using student-adjusted empirical mode decomposition and power law statistics.
Proceedings of the IEEE 6th Latin American Symposium on Circuits & Systems, 2015

Physiological signal denoising with variational mode decomposition and weighted reconstruction after DWT thresholding.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

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

Exploring Information Categories and Artificial Neural Networks Numerical Algorithms in S&P500 Trend Prediction: A Comparative Study.
Int. J. Strateg. Decis. Sci., 2014

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

Fractal-based arteriovenous malformations detection in brain magnetic resonance images.
Proceedings of the IEEE 12th International New Circuits and Systems Conference, 2014

Adjusted empirical mode decomposition with improved performance for signal modeling and prediction.
Proceedings of the IEEE 5th Latin American Symposium on Circuits and Systems, 2014

Detrended fluctuation analysis of brain hemisphere magnetic resonnance images to detect cerebral arteriovenous malformations.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

An evaluation of particle swarm optimization techniques in segmentation of biomedical images.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Biomedical image denoising using variational mode decomposition.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

Intelligent Ensemble Systems for Modeling NASDAQ Microstructure: A Comparative Study.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2014

2013
A Supervised Classification System of Financial Data Based on Wavelet Packet and Neural Networks.
Int. J. Strateg. Decis. Sci., 2013

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

An application of the empirical mode decomposition to brain magnetic resonance images classification.
Proceedings of the 4th IEEE Latin American Symposium on Circuits and Systems, 2013

Lobe asymmetry-based automatic classification of brain magnetic resonance images.
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

Information fusion and S&P500 trend prediction.
Proceedings of the ACS International Conference on Computer Systems and Applications, 2013

2012
Fractal dimension and high order statistics of spectral energy distribution as features for pathology detection in brain MR images.
Proceedings of the 10th IEEE International NEWCAS Conference, 2012

An EMD-SVM screening system for retina digital images: The effect of kernels and parameters.
Proceedings of the 11th International Conference on Information Science, 2012

Statistical features selection from intrinsic mode functions for pathologies detection in retina digital images.
Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society, 2012

Automatic brain MR images diagnosis based on edge fractal dimension and spectral energy signature.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

An empirical mode decomposition approach for automatic diagnosis of retina digital images.
Proceedings of the 25th IEEE Canadian Conference on Electrical and Computer Engineering, 2012

2011
Classification of brain MRI using the LH and HL wavelet transform sub-bands.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011

Hybrid cosine and Radon transform-based processing for digital mammogram feature extraction and classification with SVM.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Brain MRI classification using an ensemble system and LH and HL wavelet sub-bands features.
Proceedings of the IEEE Third International Workshop On Computational Intelligence In Medical Imaging, 2011


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