Ibtissam MEDARHRI

Verified email at enim.ac.ma

LMAID-ENSMR

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Personal Information

Female

Maroc

Rabat

Hadj Ahmed Cherkaoui - B.P. : 753 - Agdal

Specializations

probability-theory-stochastic-processes statistics numerical-analysis computer-science

Publications

Predicting stock market price movement using machine learning techniques

I Medarhri, M Hosni, N Nouisser, F Chakroun, K Najib

2022 8th International Conference on Optimization and Applications (ICOA), 1-5, 2022

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Identification of the source function for a seawater intrusion problem in unconfined aquifer

S Slimani, I Medarhri, K Najib, A Zine

Numerical algorithms 84, 1565-1587, 2020

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Feasibility and reliability of whintings scanwatch to record 4-lead Electrocardiogram: A comparative analysis with a standard ECG

S Touiti, I Medarhri, K Marzouki, N Ngote, A Tazi-Mezalek

Heliyon 9 (10), 2023

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Decision Support System Based on Machine Learning Techniques to Diagnosis Heart Disease Using Four-Lead ECG Recordings

M Hosni, I Medarhri, S Touiti, AM Tazi, N Ngote

World Conference on Information Systems and Technologies, 121-130, 2023

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Mixed formulation of a stationary seawater intrusion problem in confined aquifers

S Slimani, M Farhloul, I Medarhri, K Najib, A Zine

Numerical Algorithms 91 (2), 651-669, 2022

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Stochastic runge kutta methods with the constant elasticity of variance (cev) diffusion model for pricing option

R Aboulaich, A Jraifi, I Medarhri

International journal of mathematical analysis 8 (18), 849-856, 2014

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Artificial Intelligence in Hydrogen Energy: A Comprehensive Bibliometric Analysis

J Zerhouni, M Hosni, I Medarhri

2025 International Conference for Artificial Intelligence, Applications …, 2025

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Constructing Ensembles: A Diversity-Driven Approach with Correlation and Q-Statistics

I Medarhri, C Chekira, M Hosni, JMC de Gea

2025 International Conference for Artificial Intelligence, Applications …, 2025

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Assessing Single and Ensemble KNN Methods for Estimating Software Testing Effort

R Menaoui, M Hosni, I Medarhri, JMC de Gea

2025 International Conference for Artificial Intelligence, Applications …, 2025

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Mixed finite element method of a seawater intrusion problem in confined aquifers

I Medarhri, M Farhloul, K Najib, S Slimani, A Zine

E3S Web of Conferences 314, 05004, 2021

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Identification of separable source for a seawater intrusion problem in costal aquifers

S SLIMANI, K NAJIB, I MEDARHRI, A ZINE

of the 12th edition of Numerical Analysis and Optimization Days, 157, 2018

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Numerical Methods for Volatility Estimation and Option Pricing: Numerical Methods in Finance

I Medarhri

Éditions universitaires européennes, 2017

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Numerical Resolution of an Inverse Problem

I Medarhri, R Aboulaich

Tendances des Applications Mathématiques, 214, 2013

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Software Testing Effort Estimation Based on Machine Learning Techniques: Single and Ensemble Methods

M Hosni, I Medarhri, JMC de Gea

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Reviewing Machine Learning Techniques in Credit Card Fraud Detection

I Medarhri, M Hosni, M Ettalhaoui, Z Belhaj, R Zine

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Tikhonov regularization for the calibration of the Drift term in an asset-pricing stochastic volatility jump-diffusion model

A Jraifi, R Aboulaich, A Darouichi, I Medarhri, I Elmouki

Local Organizing Committee, 108, 0

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Research Interests

No research interests available.

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Ibtissam MEDARHRI

Personal Information

Specializations

Publications

Predicting stock market price movement using machine learning techniques

Identification of the source function for a seawater intrusion problem in unconfined aquifer

Feasibility and reliability of whintings scanwatch to record 4-lead Electrocardiogram: A comparative analysis with a standard ECG

Decision Support System Based on Machine Learning Techniques to Diagnosis Heart Disease Using Four-Lead ECG Recordings

Mixed formulation of a stationary seawater intrusion problem in confined aquifers

Stochastic runge kutta methods with the constant elasticity of variance (cev) diffusion model for pricing option

Artificial Intelligence in Hydrogen Energy: A Comprehensive Bibliometric Analysis

Constructing Ensembles: A Diversity-Driven Approach with Correlation and Q-Statistics

Assessing Single and Ensemble KNN Methods for Estimating Software Testing Effort

Mixed finite element method of a seawater intrusion problem in confined aquifers

Identification of separable source for a seawater intrusion problem in costal aquifers

Numerical Methods for Volatility Estimation and Option Pricing: Numerical Methods in Finance

Numerical Resolution of an Inverse Problem

Software Testing Effort Estimation Based on Machine Learning Techniques: Single and Ensemble Methods

Reviewing Machine Learning Techniques in Credit Card Fraud Detection

Tikhonov regularization for the calibration of the Drift term in an asset-pricing stochastic volatility jump-diffusion model

Research Interests

Sections

Ibtissam MEDARHRI

Personal Information

Specializations

Publications

Predicting stock market price movement using machine learning techniques

Identification of the source function for a seawater intrusion problem in unconfined aquifer

Feasibility and reliability of whintings scanwatch to record 4-lead Electrocardiogram: A comparative analysis with a standard ECG

Decision Support System Based on Machine Learning Techniques to Diagnosis Heart Disease Using Four-Lead ECG Recordings

Mixed formulation of a stationary seawater intrusion problem in confined aquifers

Stochastic runge kutta methods with the constant elasticity of variance (cev) diffusion model for pricing option

Artificial Intelligence in Hydrogen Energy: A Comprehensive Bibliometric Analysis

Constructing Ensembles: A Diversity-Driven Approach with Correlation and Q-Statistics

Assessing Single and Ensemble KNN Methods for Estimating Software Testing Effort

Mixed finite element method of a seawater intrusion problem in confined aquifers

Identification of separable source for a seawater intrusion problem in costal aquifers

Numerical Methods for Volatility Estimation and Option Pricing: Numerical Methods in Finance

Numerical Resolution of an Inverse Problem

Software Testing Effort Estimation Based on Machine Learning Techniques: Single and Ensemble Methods

Reviewing Machine Learning Techniques in Credit Card Fraud Detection

Tikhonov regularization for the calibration of the Drift term in an asset-pricing stochastic volatility jump-diffusion model

Research Interests

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