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Mohamed Sraitih

An Automated System for ECG Arrhythmia Detection Using Machine Learning Techniques
2021 · Mohamed Sraitih, Younes Jabrane, et al. · Journal of Clinical Medicine · 105
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A denoising performance comparison based on ECG Signal Decomposition and local means filtering
2021 · Mohamed Sraitih, Younes Jabrane · Biomedical Signal Processing and Control · 44
A Robustness Evaluation of Machine Learning Algorithms for ECG Myocardial Infarction Detection
2022 · Mohamed Sraitih, Younes Jabrane, et al. · Journal of Clinical Medicine · 28
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An overview on intra- and inter-patient paradigm for ECG Heartbeat Arrhythmia Classification
2021 · Mohamed Sraitih, Younes Jabrane, et al. · International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA) · 8
An overview on machine learning methods for ECG Heartbeat Arrhythmia Classification
2021 · Mohamed Sraitih, Younes Jabrane, et al. · International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA) · 7
Exploring Reinforcement Learning Methods for Multiple Sequence Alignment: A Brief Review
2023 · Chaimaa Gaad, Mohamed-Amine Chadi, et al. · BIO Web of Conferences · 2
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A survey of deep learning approaches for classifying ECG heartbeat arrhythmias
2022 · Mohamed Sraitih, Younes Jabrane · International Conference on Intelligent Systems and Computer Vision (ISCV) · 2
Generative Adversarial Networks in ECG Signal Denoising: A Survey
2024 · Mohamed Sraitih, Amir Hajjam El Hassani, et al. · International Conference on Optimization and Applications (ICOA) · 1
Pairwise Pain Intensity Classification from Multimodal Biosignals: Evaluating Sensor Fusion Across Physiological Modalities
2026 · Mohamed Sraitih, Mohamed el moutaouadia el Idrissi, et al. · International Conference on Advanced Computer Information Technologies (ACIT)
Feature Importance Analysis in Student Performance Prediction Using Random Forest and SHAP
2026 · Oumayma Agherai, Mohamed Sraitih, et al. · International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)
An Overview of Wearable Sensor-Based Machine and Deep Learning Approaches in Parkinson’s Disease Diagnosis
2026 · Asma Ouabd, Mohamed Sraitih, et al. · International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)
Parkinson’s Disease Classification from Smartwatch Non-Motor Symptom Questionnaires in the PADS Dataset
2026 · Asma Ouabd, Mohamed Sraitih, et al. · International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)
Multi-Noise Removal from ECG Signals Using Residual Block-Based Generative Adversarial Networks with Customized Loss Function
2026 · Mohamed Sraitih, Amir Hajjam El Hassani, et al. · Research Square
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Noise Removal from ECG Signals Using Generative Adversarial Networks
2025 · Mohamed Sraitih, Amir Hajjam El Hassani, et al. · International Conference on Embedded Systems and Artificial Intelligence (ESAI)
Works count: 15
Citation count: 197
H-index: 5
I10-index: 3
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