Salim Lahmiri

Salim Lahmiri

Concordia University

H-index: 39

North America-Canada

About Salim Lahmiri

Salim Lahmiri, With an exceptional h-index of 39 and a recent h-index of 35 (since 2020), a distinguished researcher at Concordia University,

His recent articles reflect a diverse array of research interests and contributions to the field:

Deep Learning-Based Spatial-Temporal Graph Neural Networks for Price Movement Classification in Crude Oil and Precious Metal Markets

Fake Review Detection Using Rating-Sentiment Inconsistency

Fractals in Neuroimaging

Statistical analysis by wavelet leaders reveals differences in multi-fractal characteristics of stock price and return series in Turkish high frequency data

Fossil energy market price prediction by using machine learning with optimal hyper-parameters: A comparative study

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

An NLP-deep learning approach for product rating prediction based on online reviews and product features

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

Salim Lahmiri Information

University

Position

Assistant Professor of Data Science John Molson School of Business

Citations(all)

5270

Citations(since 2020)

4066

Cited By

2779

hIndex(all)

39

hIndex(since 2020)

35

i10Index(all)

106

i10Index(since 2020)

78

Email

University Profile Page

Concordia University

Google Scholar

View Google Scholar Profile

Top articles of Salim Lahmiri

Title

Journal

Author(s)

Publication Date

Deep Learning-Based Spatial-Temporal Graph Neural Networks for Price Movement Classification in Crude Oil and Precious Metal Markets

Machine Learning with Applications

Parisa Foroutan

Salim Lahmiri

2024/4/15

Fake Review Detection Using Rating-Sentiment Inconsistency

Kiana Sharifpour

Salim Lahmiri

2024/3/19

Fractals in Neuroimaging

The Fractal Geometry of the Brain

Salim Lahmiri

Mounir Boukadoum

Antonio Di Ieva

2016

Statistical analysis by wavelet leaders reveals differences in multi-fractal characteristics of stock price and return series in Turkish high frequency data

FRACTALS (fractals)

Salim Lahmiri

Ahmet Sensoy

Erdinc Akyildirim

Stelios Bekiros

2024

Fossil energy market price prediction by using machine learning with optimal hyper-parameters: A comparative study

Resources Policy

Salim Lahmiri

2024/4/21

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

Transactions in GIS

Mina Karimi

Mohammad Saadi Mesgari

Ross Stuart Purves

2022/12

An NLP-deep learning approach for product rating prediction based on online reviews and product features

IEEE Transactions on Computational Social Systems

Tolou Amirifar

Salim Lahmiri

Masoumeh Kazemi Zanjani

2023/7/14

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

Chaos, Solitons & Fractals

Salim Lahmiri

Chakib Tadj

Christian Gargour

Stelios Bekiros

2023/2/1

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

Machine Learning with Applications

Bahareh Amirshahi

Salim Lahmiri

2023/6/15

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

Biomedical Signal Processing and Control

Salim Lahmiri

2023/2/1

Multifractals and multiscale entropy patterns in energy markets under the effect of the COVID-19 pandemic

Decision Analytics Journal

Salim Lahmiri

2023/6/1

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

Healthcare Analytics

Salim Lahmiri

2023/11/1

THE RETURN TO CLASS AFTER THE CORONAVIRUS PANDEMIC

D Morin

S Lahmiri

S Hossaini

2023

A comparative study of statistical machine learning methods for condition monitoring of electric drive trains in supply chains

Supply Chain Analytics

Salim Lahmiri

2023/6/1

A nonlinear analysis of cardiovascular diseases using multi-scale analysis and generalized hurst exponent

Healthcare Analytics

Salim Lahmiri

2023/11/1

BACK TO CLASS AFTER A TWO-YEAR HIATUS

D Morin

S Lahmiri

S Hossaini

2023

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

Decision Analytics Journal

Salim Lahmiri

2023/3/1

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

Expert Systems

Bahareh Amirshahi

Salim Lahmiri

2023/8/24

Deep learning systems for automatic diagnosis of infant cry signals

Chaos, Solitons & Fractals

Salim Lahmiri

Chakib Tadj

Christian Gargour

Stelios Bekiros

2022/1/1

Complexity analysis and forecasting of variations in cryptocurrency trading volume with support vector regression tuned by Bayesian optimization under different kernels: An …

Expert Systems with Applications

Salim Lahmiri

Stelios Bekiros

Frank Bezzina

2022/12/15

See List of Professors in Salim Lahmiri University(Concordia University)