Early Semiconductor Anomaly Detection Based on Multivariate Time-Series Classification using multilayer Perceptron*

Autor: Samia MELLAH, Youssef TRARDI, Guillaume GRATON, Bouchra ANANOU, El Mostafa EL ADEL, Mustapha OULADSINE

Publikováno v: IFAC-PapersOnLine. 55:3082-3087

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ba2f1b5489cb0059bd4c6b71e6af738b
https://doi.org/10.1016/j.ifacol.2022.10.202

An Effective Data-Driven Diagnostic Strategy for Cardiac Pathology Screening

Autor: Youssef Trardi, Bouchra Ananou, Zouhair Haddi, Mustapha Ouladsine

Publikováno v: Lecture Notes in Control and Information Sciences-Proceedings ISBN: 9783030853174

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d0e0aef6c3c418a51201be62856ef25c
https://doi.org/10.1007/978-3-030-85318-1_32

Advanced Machine Learning Coupled with Heart-Inter-beat derivatives for Cardiac Arrhythmia Detection

Autor: Youssef Trardi, Z. Haddi, Jean-Francois Pons, Mustapha Ouladsine, Stephane Delliaux, Jean-Claude Deharo, Bouchra Ananou

Publikováno v: 2020 American Control Conference (ACC)
2020 American Control Conference (ACC), Jul 2020, Denver, France. pp.5433-5438, ⟨10.23919/ACC45564.2020.9147991⟩
ACC

International audience; This paper presents a novel strategy based on derivatives time series and advanced machine learning for medical decision-support especially for cardiac arrhythmia diagnosis. Most of recent technologies (smartphones, smart watc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f76dbec8d45ee89ef9683b9e0360e9a5
https://hal.inrae.fr/hal-03314531

Relevance Vector Machine as Data-Driven Method for Medical Decision Making

Autor: J-C. Deharo, J-F. Pons, Youssef Trardi, Stephane Delliaux, Bouchra Ananou, Mustapha Ouladsine, Z. Haddi

Publikováno v: IEEE Xplore Digital Library
18. EUROPEAN CONTROL CONFERENCE (ECC)
18. EUROPEAN CONTROL CONFERENCE (ECC), University Naples Federico II; University Sannio Benevento, Jun 2019, Naples, Italy. ⟨10.23919/ECC.2019.8796141⟩
ECC

International audience; The aim of this work is to develop an efficient data-driven method for automatic medical decision making, especially for cardiac arrhythmia diagnosis. To achieve this goal, we have targeted the most common arrhythmia worldwide

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6158f7b6b61ac944d27f6482a6b47b1d
https://hal.inrae.fr/hal-02900696

A Novel Method to Identify Relevant Features for Automatic Detection of Atrial Fibrillation

Autor: Youssef Trardi, Bouchra Ananou, Mustapha Ouladsine, Z. Haddi

Publikováno v: 2018 26th Mediterranean Conference on Control and Automation (MED)
2018 26th Mediterranean Conference on Control and Automation (MED), Jun 2018, Zadar, France. ⟨10.1109/MED.2018.8442479⟩
2018 26th Mediterranean Conference on Control and Automation (MED), Jun 2018, Zadar, Croatia. pp.613-618, ⟨10.1109/MED.2018.8442479⟩
MED

International audience; The selection of an appropriate subset of predictors from a large set of features is a major concern in clinical diagnosis research. The purpose of this study is to demonstrate that the Multiple Kernel Learning (MKL) approach

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a83f59c7a2558613f3a833317a1fbaf
https://hal-amu.archives-ouvertes.fr/hal-01893136