Salim Lahmiri

Concordia University — Canada

Economics, Econometrics and Finance · Social Sciences

43h-index5.8kcitations208works5.42yr avg
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Research Topics

Complex Systems and Time Series Analysis(76), Stock Market Forecasting Methods(52), Market Dynamics and Volatility(50), Financial Risk and Volatility Modeling(34), Neural Networks and Applications(24)

Publications208 total

Tuning for Precision Forecasting of Green Market Volatility Time Series
Stats·2026Open Access
Tuning Deep Learning for Predicting Aluminum Prices Under Different Sampling: Bayesian Optimization Versus Random Search
Entropy·2026· 1 citedOpen Access
Energy Measures as Biomarkers of SARS-CoV-2 Variants and Receptors
Bioengineering·2026Open Access
Machine Learning Systems Tuned by Bayesian Optimization to Forecast Electricity Demand and Production
Algorithms·2025· 2 citedOpen Access
A Deep Learning-Based Ensemble System for Brent and WTI Crude Oil Price Analysis and Prediction
Entropy·2025· 3 citedOpen Access
Distinguishing Between Healthy and Unhealthy Newborns Based on Acoustic Features and Deep Learning Neural Networks Tuned by Bayesian Optimization and Random Search Algorithm
Entropy·2025· 1 citedOpen Access
An Effective and Fast Model for Characterization of Cardiac Arrhythmia and Congestive Heart Failure
Diagnostics·2025· 1 citedOpen Access
Wavelet Entropy for Efficiency Assessment of Price, Return, and Volatility of Brent and WTI During Extreme Events
Commodities·2025· 1 citedOpen Access
Analysis of Self-Similarity in Short and Long Movements of Crude Oil Prices by Combination of Stationary Wavelet Transform and Range-Scale Analysis: Effects of the COVID-19 Pandemic and Russia-Ukraine War
Fractal and Fractional·2025Open Access
Evaluating Predictive Models for Three Green Finance Markets: Insights from Statistical vs. Machine Learning Approaches
Computation·2025· 3 citedOpen Access
Causality Between Brent and West Texas Intermediate: The Effects of COVID-19 Pandemic and Russia–Ukraine War
Commodities·2025· 1 citedOpen Access
Forecasting International Electricity Market Prices by Using Optimized Machine Learning Systems
Smart Grids and Sustainable Energy·2025· 5 cited
Comprehensive analysis of Transformer networks in identifying informative sentences containing customer needs
Expert Systems with Applications·2025· 2 cited
Price disorder and information content in energy and gold markets: The effect of the COVID-19 pandemic
Energy Nexus·2024· 6 citedOpen Access
The nexus between fossil energy markets and the effect of the COVID-19 pandemic on clustering structures
Energy Nexus·2024· 5 citedOpen Access
Automated Fake News Detection Using Logistic Regression over Decision Tree with Improved Accuracy
2024· 1 cited
Forecasting of Rainfall Using Novel SVM and Compare Prediction Accuracy with Logistic Regression Algorithm
2024
Spam Detection Using Radial Base Function and Compare the Prediction Accuracy Using Naive Bayes Algorithm
2024
Wind Turbine Blade Fault Diagnosis: Approximate Entropy as a Tool to Detect Erosion and Mass Imbalance
Fractal and Fractional·2024· 5 citedOpen Access
Deep learning systems for forecasting the prices of crude oil and precious metals
Financial Innovation·2024· 46 citedOpen Access
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Frequent Co-authors

Stelios Bekiros(17), Amir Shmuel(5), Mounir Boukadoum(5), Gazi Salah Uddin(2), Frank Bezzina(2), Antonio Salvi(1), Debra Ann Dawson(1), Stavros Stavroyiannis(1), Vassilios Babalos(1), Christos Avdoulas(1), Anastasia Giakoumelou(1), Yu‐Ming Chu(1), Ernesto Zambrano-Serrano(1), Onofre Orozco-López(1), Hadi Jahanshahi(1), Ayman A. Aly(1), Parisa Foroutan(1), Bahareh Amirshahi(1), Mounir Boukadoum(1), Chakib Tadj(1)