The RRBF. Dynamic representation of time in radial basis function network. - Ryad A. Zemouri; Daniel Racoceanu; Noureddine Zerhouni (ETFA (2), 2001)

A Petri net Graphic Method of Reduction Using Birth-death Processes. - Ryad A. Zemouri; Daniel Racoceanu; Noureddine Zerhouni (ICRA, 2001)

Réseaux de neurones récurrents à fonctions de base radiales: RRFR Application au pronostic. - Ryad A. Zemouri; Daniel Racoceanu; Noureddine Zerhouni (Rev. d'Intelligence Artif., 2002)

Hierarchical systems monitoring using Recurrent Synchronized Fuzzy Petri Nets. - Eugenia Minca; Ryad Zemouri; Florin Dragomir; Otilia Elena Dragomir (ECC, 2009)

Defining and applying prediction performance metrics on a recurrent NARX time series model. - Ryad A. Zemouri; Rafael Gouriveau; Noureddine Zerhouni (Neurocomputing, 2010)

Autonomous and adaptive procedure for cumulative failure prediction. - Ryad A. Zemouri; Noureddine Zerhouni (Neural Comput. Appl., 2012)

An evolutionary building algorithm for Deep Neural Networks. - Ryad A. Zemouri (WSOM, 2017)

Deep Convolutional Variational Autoencoder as a 2D-Visualization Tool for Partial Discharge Source Classification in Hydrogenerators. - Ryad A. Zemouri; Mélanie Lévesque; Normand Amyot; Claude Hudon; Olivier Kokoko; Souheil-Antoine Tahan (IEEE Access, 2020)

Semi-Supervised Adversarial Variational Autoencoder. - Ryad Zemouri (Mach. Learn. Knowl. Extr., 2020)

A new growing pruning deep learning neural network algorithm (GP-DLNN). - Ryad Zemouri; Nabil Omri; Farhat Fnaiech; Noureddine Zerhouni; Nader Fnaiech (Neural Comput. Appl., 2020)

Comparison of an Automatic Classification of Partial Dischage Patterns for Large Hydrogenerator. - Olivier Kokoko; Claude Hudon; Mélanie Lévesque; Normand Amyot; Ryad A. Zemouri (ICPHM, 2021)

Predicting the quality of a machined workpiece with a variational autoencoder approach. - Antoine Proteau; Antoine Tahan; Ryad Zemouri; Marc Thomas (J. Intell. Manuf., 2023)

Hydrogenerator early fault detection: Sparse Dictionary Learning jointly with the Variational Autoencoder. - Ryad Zemouri; Rony Ibrahim; Antoine Tahan (Eng. Appl. Artif. Intell., 2023)

Fault detection and diagnostics in the context of sparse multimodal data and expert knowledge assistance: Application to hydrogenerators. - Sagar Jose; Khanh T. P. Nguyen; Kamal Medjaher; Ryad Zemouri; Mélanie Lévesque; Antoine Tahan (Comput. Ind., 2023)

Bridging expert knowledge and sensor measurements for machine fault quantification with large language models. - Sagar Jose; Khanh T. P. Nguyen; Kamal Medjaher; Ryad Zemouri; Mélanie Lévesque; Antoine Tahan (AIM, 2024)

Rotor Fault Diagnosis of Large Hydrogenerators Using Vibration Data and VAE-Desirability Function. - Rony Ibrahim; Ryad Zemouri; Antoine Tahan; Bachir Kedjar; Kamal Al-Haddad; Arezki Merkhouf (IECON, 2024)

Review of Artificial Intelligence Methods for Faults Monitoring, Diagnosis, and Prognosis in Hydroelectric Synchronous Generators. - Helene Bechara; Rony Ibrahim; Ryad Zemouri; Bachir Kedjar; Arezki Merkhouf; Antoine Tahan; Kamal Al-Haddad (IEEE Access, 2024)

System Condition Monitoring Based on a Standardized Latent Space and the Nataf Transform. - Adaiton Oliveira-Filho; Ryad Zemouri; Francis Pelletier; Antoine Tahan (IEEE Access, 2024)

Advancing multimodal diagnostics: Integrating industrial textual data and domain knowledge with large language models. - Sagar Jose; Khanh T. P. Nguyen; Kamal Medjaher; Ryad Zemouri; Mélanie Lévesque; Antoine Tahan (Expert Syst. Appl., 2024)

Prognostics of complex machinery with sparse multilabel multimodal run-to-failure data: A graph neural network approach. - Sagar Jose; Ryad Zemouri; Khanh T. P. Nguyen; Kamal Medjaher; Mélanie Lévesque; Antoine Tahan (Adv. Eng. Informatics, 2025)