Mounim A. El Yacoubi

Professor

Institut Mines-Télécom

France

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Professor Mounim A. El Yacoubi is a faculty member at Institut Mines Telecom in France. His research interests include demand-responsive transit, feature extraction methods for biometric verification, and intelligent systems for health and agriculture. Recent publications highlight his work on deep learning applications in eye movement recognition and Alzheimer's detection, reflecting his expertise in artificial intelligence and machine learning techniques.

Mounim A. El Yacoubi

Research Interests

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Articles (21)

Planning Demand-Responsive Transit to reduce inequality of accessibility

EM-DARTS: Hierarchical Differentiable Architecture Search for Eye Movement Recognition

EmMixformer: Mix Transformer for Eye Movement Recognition

Hybrid Transformer for Early Alzheimer's Detection: Integration of Handwriting-Based 2D Images and 1D Signal Features

WTxGRN: Wavelet Transform-Based Extended Gated Recurrent Network for Palm Vein Recognition

Adversarial Learning-Based Data Augmentation for Palm-Vein Identification

A Systematic Review and Meta-Analysis of Intelligent Irrigation Systems

AG-NAS: An Attention GRU-Based Neural Architecture Search for Finger-Vein Recognition

Attention Label Learning to Enhance Interactive Vein Transformer for Palm-Vein Recognition

Deep Reinforcement Learning-Based Feature Extraction and Encoding for Finger-Vein Verification

Hybrid-AI and Model Ensembling to Exploit UAV-Based RGB Imagery: An Evaluation of Sorghum Crop’s Nitrogen Content

Adaptive Deep Feature Fusion for Continuous Authentication With Data Augmentation

Abstract Layer for LeakyReLU for Neural Network Verification Based on Abstract Interpretation

Detection of Alzheimer Disease on Online Handwriting Using 1D Convolutional Neural Network

Label Enhancement-Based Multiscale Transformer for Palm-Vein Recognition

Memory-Augmented Autoencoder based Continuous Authentication on Smartphones with Conditional Transformer GANs

Transformer Based Defense GAN Against Palm-Vein Adversarial Attacks

Transformer Based Defense GAN Against Palm-Vein Adversarial Attacks

Type 2 Diabetes Detection With Light CNN From Single Raw PPG Wave

Diabetes detection and management through photoplethysmographic and electrocardiographic signals analysis: a Systematic Review

Leveraging the potential of digital technology for better individualized treatment of parkinson's disease

Collaborators (4)

Noémi Bontridder

magesh chandramouli

Michal Stočes

Jean-Marc Van Gyseghem

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