S. Lahmiri

R. Saadé, S. Lahmiri, F. Nebebe, 2020, 2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech).

A Sequential Probabilistic System for Bankruptcy Data Classification

Salim Lahmiri, Stephane Gagnon, Stephane Gagnon, 2016 .

Exploring Information Categories and Artificial Neural Networks Numerical Algorithms in S&P500 Trend Prediction: A Comparative Study

Salim Lahmiri, Mounir Boukadoum, Sylvain Chartier, 2014, Int. J. Strateg. Decis. Sci..

Biomedical Diagnosis of Infant Cry Signal Based on Analysis of Cepstrum by Deep Feedforward Artificial Neural Networks

Chakib Tadj, Salim Lahmiri, Christian Gargour, 2021, IEEE Instrumentation & Measurement Magazine.

Information fusion and S&P500 trend prediction

Salim Lahmiri, Mounir Boukadoum, Sylvain Chartier, 2013, 2013 ACS International Conference on Computer Systems and Applications (AICCSA).

An entropy-LVQ system for S&P500 downward shifts forecasting

Salim Lahmiri, S. Lahmiri, 2012 .

Detection of pathologies in retina digital images an empirical mode decomposition approach

Salim Lahmiri, S. Lahmiri, 2011 .

Brain MRI classification using an ensemble system and LH and HL wavelet sub-bands features

Salim Lahmiri, Mounir Boukadoum, M. Boukadoum, 2011, 2011 IEEE Third International Workshop On Computational Intelligence In Medical Imaging.

Detection of Parkinson's disease based on voice patterns ranking and optimized support vector machine

Amir Shmuel, Salim Lahmiri, A. Shmuel, 2019, Biomed. Signal Process. Control..

A two-step system for direct bank telemarketing outcome classification

Salim Lahmiri, S. Lahmiri, 2017, Intell. Syst. Account. Finance Manag..

Cryptocurrency forecasting with deep learning chaotic neural networks

Salim Lahmiri, Stelios Bekiros, S. Lahmiri, 2019, Chaos, Solitons & Fractals.

The impact of COVID-19 pandemic upon stability and sequential irregularity of equity and cryptocurrency markets

S. Lahmiri, S. Bekiros, 2020, Chaos, Solitons & Fractals.

Long-range memory, distributional variation and randomness of bitcoin volatility

Salim Lahmiri, Antonio Salvi, Stelios D. Bekiros, 2018 .

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

Salim Lahmiri, Stelios Bekiros, S. Lahmiri, 2020, Entropy.

Characterization of infant healthy and pathological cry signals in cepstrum domain based on approximate entropy and correlation dimension

C. Tadj, S. Lahmiri, S. Bekiros, 2021 .

Fractal-based arteriovenous malformations detection in brain magnetic resonance images

Salim Lahmiri, Mounir Boukadoum, Antonio Di Ieva, 2014, 2014 IEEE 12th International New Circuits and Systems Conference (NEWCAS).

Detrended fluctuation analysis of brain hemisphere magnetic resonnance images to detect cerebral arteriovenous malformations

Salim Lahmiri, Mounir Boukadoum, Antonio Di Ieva, 2014, 2014 IEEE International Symposium on Circuits and Systems (ISCAS).

A wavelet leaders model with multiscale entropy measures for diagnosing arrhythmia and congestive heart failure

S. Lahmiri, 2023, Healthcare Analytics.

Complexity measures of high oscillations in phonocardiogram as biomarkers to distinguish between normal heart sound and pathological murmur

S. Lahmiri, Stelios D. Bekiros, 2021, Chaos, Solitons & Fractals.

Accurate Classification of Seizure and Seizure-Free Intervals of Intracranial EEG Signals From Epileptic Patients

Amir Shmuel, Salim Lahmiri, A. Shmuel, 2019, IEEE Transactions on Instrumentation and Measurement.

Glioma detection based on multi-fractal features of segmented brain MRI by particle swarm optimization techniques

Salim Lahmiri, S. Lahmiri, 2017, Biomed. Signal Process. Control..

Wavelet low- and high-frequency components as features for predicting stock prices with backpropagation neural networks

Salim Lahmiri, S. Lahmiri, 2014, J. King Saud Univ. Comput. Inf. Sci..

Biomedical image denoising using variational mode decomposition

Salim Lahmiri, Mounir Boukadoum, M. Boukadoum, 2014, 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings.

A weighted bio-signal denoising approach using empirical mode decomposition

Salim Lahmiri, Mounir Boukadoum, M. Boukadoum, 2015, Biomedical Engineering Letters.

A Technical Analysis Information Fusion Approach for Stock Price Analysis and Modeling

Salim Lahmiri, S. Lahmiri, 2018 .

An iterative denoising system based on Wiener filtering with application to biomedical images

Salim Lahmiri, S. Lahmiri, 2017 .

Linear and nonlinear dynamic systems in financial time series prediction

Salim Lahmiri, S. Lahmiri, 2012 .

Minute-ahead stock price forecasting based on singular spectrum analysis and support vector regression

Salim Lahmiri, S. Lahmiri, 2018, Appl. Math. Comput..

Emerging Markets Reward Risk: Empirical Evidence from MENA during 2008 Financial Crisis

Salim Lahmiri, Stephane Gagnon, Stephane Gagnon, 2016, Int. J. Innov. Digit. Econ..

On The Risk-Return Relationship in European and MENA Major Stock Markets During the 2008 Financial Crisis

Stephane Gagnon, S. Lahmiri, 2016 .

Estimating the risk-return tradeoff in MENA Stock Markets

S. Lahmiri, 2013 .

A clustering approach to examine the dynamics of the NASDAQ topology in times of crisis

S. Lahmiri, 2012 .

An Exploration of Backpropagation Numerical Algorithms in Modeling US Exchange Rates

Salim Lahmiri, S. Lahmiri, 2017 .

Asymmetric and persistent responses in price volatility of fertilizers through stable and unstable periods

S. Lahmiri, 2017 .

Statistical features selection from intrinsic mode functions for pathologies detection in retina digital images

C. Gargour, M. Gabrea, S. Lahmiri, 2012, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society.

A variational mode decompoisition approach for analysis and forecasting of economic and financial time series

Salim Lahmiri, S. Lahmiri, 2016, Expert Syst. Appl..

Physiological signal denoising with variational mode decomposition and weighted reconstruction after DWT thresholding

Salim Lahmiri, Mounir Boukadoum, M. Boukadoum, 2015, 2015 IEEE International Symposium on Circuits and Systems (ISCAS).

Comparative study of ECG signal denoising by wavelet thresholding in empirical and variational mode decomposition domains.

Salim Lahmiri, S. Lahmiri, 2014, Healthcare technology letters.

Inflation cycle synchronization in ASEAN countries

S. Lahmiri, Seong‐Min Yoon, S. Kang, 2020 .

An accurate system to distinguish between normal and abnormal electroencephalogram records with epileptic seizure free intervals

Salim Lahmiri, S. Lahmiri, 2018, Biomed. Signal Process. Control..

A Comparative Study Of Backpropagation Algorithms In Financial Prediction

Salim Lahmiri, S. Lahmiri, 2011 .

Alzheimer's Disease Detection in Brain Magnetic Resonance Images Using Multiscale Fractal Analysis

Salim Lahmiri, Mounir Boukadoum, M. Boukadoum, 2013, ISRN radiology.

Artificial macro-economics: A chaotic discrete-time fractional-order laboratory model

Salim Lahmiri, Hadi Jahanshahi, Yu-Ming Chu, 2021 .

Combined partial differential equation filtering and particle swarm optimization for noisy biomedical image segmentation

Salim Lahmiri, Mounir Boukadoum, M. Boukadoum, 2016, 2016 IEEE 7th Latin American Symposium on Circuits & Systems (LASCAS).

Comparing Variational and Empirical Mode Decomposition in Forecasting Day-Ahead Energy Prices

Salim Lahmiri, S. Lahmiri, 2017, IEEE Systems Journal.

The effect of COVID-19 on long memory in returns and volatility of cryptocurrency and stock markets

S. Lahmiri, Stelios D. Bekiros, 2021, Chaos, Solitons & Fractals.

New approach for automatic classification of Alzheimer's disease, mild cognitive impairment and healthy brain magnetic resonance images.

Salim Lahmiri, Mounir Boukadoum, M. Boukadoum, 2014, Healthcare technology letters.

Intelligent forecasting with machine learning trading systems in chaotic intraday Bitcoin market

Stelios D. Bekiros, Salim Lahmiri, Stelios D. Bekiros, 2020 .

Nonlinear dynamics of equity, currency and commodity markets in the aftermath of the global financial crisis

Salim Lahmiri, Stelios D. Bekiros, Gazi Salah Uddin, 2017 .

A study on chaos in crude oil markets before and after 2008 international financial crisis

Salim Lahmiri, S. Lahmiri, 2017 .

Time-varying self-similarity in alternative investments

S. Lahmiri, S. Bekiros, 2018, Chaos, Solitons & Fractals.

Investigating the effectiveness of Twitter sentiment in cryptocurrency close price prediction by using deep learning

S. Lahmiri, Bahareh Amirshahi, 2023, Expert Systems.

Hybrid deep learning and GARCH-family models for forecasting volatility of cryptocurrencies

S. Lahmiri, Bahareh Amirshahi, 2023, Machine Learning with Applications.

A comparative assessment of machine learning methods for predicting housing prices using Bayesian optimization

S. Lahmiri, S. Bekiros, Christos Avdoulas, 2023, Decision Analytics Journal.

Performance of machine learning methods in diagnosing Parkinson’s disease based on dysphonia measures

Amir Shmuel, Salim Lahmiri, Debra Ann Dawson, 2017, Biomedical Engineering Letters.

A weighted bio-signal denoising approach using empirical mode decomposition

M. Boukadoum, S. Lahmiri, 2015, Biomedical Engineering Letters.

Integrating convolutional neural networks, kNN, and Bayesian optimization for efficient diagnosis of Alzheimer's disease in magnetic resonance images

S. Lahmiri, 2023, Biomed. Signal Process. Control..

Deep Learning Forecasting in Cryptocurrency High-Frequency Trading

Salim Lahmiri, Stelios Bekiros, S. Lahmiri, 2021, Cogn. Comput..

Features selection, data mining and finacial risk classification: a comparative study

Salim Lahmiri, S. Lahmiri, 2016, Intell. Syst. Account. Finance Manag..

Performance of machine learning methods in diagnosing Parkinson’s disease based on dysphonia measures

A. Shmuel, S. Lahmiri, D. Dawson, 2017, Biomedical Engineering Letters.

Automatic brain MR images diagnosis based on edge fractal dimension and spectral energy signature

Salim Lahmiri, Mounir Boukadoum, M. Boukadoum, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Fractals in Neuroimaging

Salim Lahmiri, Mounir Boukadoum, Antonio Di Ieva, 2016 .

Performance assessment of ensemble learning systems in financial data classification

Salim Lahmiri, Frank Bezzina, Stelios Bekiros, 2020, Intell. Syst. Account. Finance Manag..

Hybrid deep learning convolutional neural networks and optimal nonlinear support vector machine to detect presence of hemorrhage in retina

Salim Lahmiri, S. Lahmiri, 2020, Biomed. Signal Process. Control..

Variational mode decomposition based approach for accurate classification of color fundus images with hemorrhages

Amir Shmuel, Salim Lahmiri, A. Shmuel, 2017 .

High-frequency-based features for low and high retina haemorrhage classification.

Salim Lahmiri, S. Lahmiri, 2017, Healthcare technology letters.

The effect of COVID-19 on long memory in returns and volatility of cryptocurrency and stock markets

S. Lahmiri, Stelios D. Bekiros, 2021, Chaos, Solitons & Fractals.

WAVELET TRANSFORM, NEURAL NETWORKS AND THE PREDICTION OF S&P PRICE INDEX: A COMPARATIVE STUDY OF BACK PROPAGATION NUMERICAL ALGORITHMS

Salim Lahmiri, S. Lahmiri, 2012 .

The high frequency multifractal properties of Bitcoin

S. Lahmiri, S. Bekiros, Vassilios Babalos, 2019, Physica A: Statistical Mechanics and its Applications.

Big data analytics using multi-fractal wavelet leaders in high-frequency Bitcoin markets

Salim Lahmiri, Stelios Bekiros, S. Lahmiri, 2020 .

Multi-fluctuation nonlinear patterns of European financial markets based on adaptive filtering with application to family business, green, Islamic, common stocks, and comparison with Bitcoin, NASDAQ, and VIX

S. Lahmiri, S. Bekiros, F. Bezzina, 2020 .

Gait Nonlinear Patterns Related to Parkinson’s Disease and Age

Salim Lahmiri, S. Lahmiri, 2019, IEEE Transactions on Instrumentation and Measurement.

Image denoising in bidimensional empirical mode decomposition domain: the role of Student's probability distribution function.

Salim Lahmiri, S. Lahmiri, 2016, Healthcare technology letters.

Automatic detection of Alzheimer disease in brain magnetic resonance images using fractal features

Salim Lahmiri, Mounir Boukadoum, M. Boukadoum, 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

The effect of the COVID-19 pandemic on multifractals of price returns and trading volume variations of cryptocurrencies

S. Lahmiri, 2023, Decision Analytics Journal.

General Framework for Multi-Classification of EEG Signals Based on Multi-Scale Properties

Salim Lahmiri, S. Lahmiri, 2020, 2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE).

Clustering of short and long-term co-movements in international financial and commodity markets in wavelet domain

Salim Lahmiri, Stelios D. Bekiros, Gazi Salah Uddin, 2017 .

Deep learning systems for automatic diagnosis of infant cry signals

C. Tadj, S. Lahmiri, C. Gargour, 2022, Chaos, Solitons & Fractals.

Disturbances and complexity in volatility time series

Salim Lahmiri, Stelios D. Bekiros, S. Lahmiri, 2017 .

A predictive system integrating intrinsic mode functions, artificial neural networks, and genetic algorithms for forecasting S&P500 intra-day data

Salim Lahmiri, S. Lahmiri, 2020, Intell. Syst. Account. Finance Manag..

IMPROVING FORECASTING ACCURACY OF THE S&P500 INTRA-DAY PRICE DIRECTION USING BOTH WAVELET LOW AND HIGH FREQUENCY COEFFICIENTS

Salim Lahmiri, S. Lahmiri, 2014 .

Multi-Scaling Analysis of the S&P500 under Different Regimes in Wavelet Domain

Salim Lahmiri, S. Lahmiri, 2014, Int. J. Strateg. Decis. Sci..

Classification of brain MRI using the LH and HL wavelet transform sub-bands

Salim Lahmiri, Mounir Boukadoum, M. Boukadoum, 2011, 2011 IEEE International Symposium of Circuits and Systems (ISCAS).

A Comparative Study of Statistical Machine Learning Methods for Condition Monitoring of Electric Drive Trains in Supply Chains

S. Lahmiri, 2023, Supply Chain Analytics.

Optimal tuning of support vector machines and k-NN algorithm by using Bayesian optimization for newborn cry signal diagnosis based on audio signal processing features

C. Tadj, S. Lahmiri, S. Bekiros, 2023, Chaos, Solitons & Fractals.