An Efficient Pattern Recognition Kernel-Based Method for Atrial Fibrillation Diagnosis. - Zouhair Haddi; Bouchra Ananou; Youssef Trardi; Jean-François Pons; Stéphane Delliaux; Mustapha Ouladsine; Jean-Claude Deharo (CinC, 2018)

Multi-Dynamics Analysis of QRS Complex for Atrial Fibrillation Diagnosis. - Youssef Trardi; Bouchra Ananou; Zouhair Haddi; Mustapha Ouladsine (CoDIT, 2018)

A Novel Method to Identify Relevant Features for Automatic Detection of Atrial Fibrillation. - Youssef Trardi; Bouchra Ananou; Zouhair Haddi; Mustapha Ouladsine (MED, 2018)

Relevance Vector Machine as Data-Driven Method for Medical Decision Making. - Zouhair Haddi; Bouchra Ananou; Youssef Trardi; Mustapha Ouladsine; Jean-François Pons; Stéphane Delliaux; Jean-Claude Deharo (ECC, 2019)

Advanced Machine Learning Coupled with Heart-Inter-beat derivatives for Cardiac Arrhythmia Detection. - Zouhair Haddi; Bouchra Ananou; Youssef Trardi; Jean-François Pons; Stéphane Delliaux; Jean-Claude Deharo; Mustapha Ouladsine (ACC, 2020)

Fusion of Multiple Univariate Data Analysis-based Detectors to Build a Specific Fingerprint of Atrial Fibrillation. - Zouhair Haddi; Bouchra Ananou; Youssef Trardi; Stéphane Delliaux; Jean-Claude Deharo; Mustapha Ouladsine (CinC, 2020)

An Advanced Arrhythmia Recognition Methodology Based on R-waves Time-Series Derivatives and Benchmarking Machine-Learning Algorithms. - Youssef Trardi; Bouchra Ananou; Mustapha Ouladsine (ECC, 2020)

Computationally Efficient Algorithm for Atrial Fibrillation Detection using Linear and Geometric Features of RR Time-Series Derivatives. - Youssef Trardi; Bouchra Ananou; Mustapha Ouladsine (ICCAD, 2022)

Ensemble Machine Learning Algorithms for Anomaly Detection in Multivariate Time-Series. - Youssef Trardi; Bouchra Ananou; Philip Tchatchoua; Mustapha Ouladsine (ICCAD, 2022)

Patient Trajectory Prediction: Integrating Clinical Notes with Transformers. - Sifal Klioui; Sana Sellami; Youssef Trardi (BIOSTEC (2): HEALTHINF, 2025)

Prédiction de la trajectoire du patient : Intégration des notes cliniques aux transformers. - Sifal Klioui; Sana Sellami; Youssef Trardi (EGC, 2025)