Salim Lahmiri
Orcid: 0000-0002-9237-4100
According to our database1,
Salim Lahmiri
authored at least 58 papers
between 2011 and 2023.
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Bibliography
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
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
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
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
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
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
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
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
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
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
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
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013
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
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