Incremental learning in Fuzzy Pattern Matching. - Moamar Sayed-Mouchaweh; Arnaud Devillez; Gérard Villermain Lecolier; Patrice Billaudel (Fuzzy Sets Syst., 2002)

Recursive learning in real time using fuzzy pattern matching. - Moamar Sayed-Mouchaweh; Arnaud Devillez; Gérard Villermain Lecolier; Patrice Billaudel (Math. Comput. Simul., 2002)

Elimination du bruit et détection des zones de haute densité. - Moamar Sayed-Mouchaweh; Patrice Billaudel; Gérard Villermain Lecolier (Rev. d'Intelligence Artif., 2002)

Conception d'un système de diagnostic adaptatif et prédictif basé sur la méthode Fuzzy Pattern Matching pour la surveillance en ligne des systèmes évolutifs. - Moamar Sayed-Mouchaweh (2002)

Fuzzy pattern matching with adaptive bin width histograms to maximize classification performances. - Moamar Sayed-Mouchaweh; Patrice Billaudel; Bernard Riera 001 (FUZZ-IEEE, 2004)

A process monitoring module based on fuzzy logic and pattern recognition. - Arnaud Devillez; Moamar Sayed-Mouchaweh; Patrice Billaudel (Int. J. Approx. Reason., 2004)

Detectability and diagnosability of discrete event systems - application on manufacturing systemsdo. - Moamar Sayed-Mouchaweh; Alexandre Philippot; Véronique Carré-Ménétrier (ICINCO, 2005)

Timed-Event-State-Based Diagnoser for Manufacturing Systems. - Moamar Sayed-Mouchaweh; Alexandre Philippot; Véronique Carré-Ménétrier; Bernard Riera 001 (BASYS, 2006)

New results on diagnosis by fuzzy pattern recognition. - Mohamed Saïd Bouguelid; Moamar Sayed-Mouchaweh; Patrice Billaudel (ICINCO-ICSO, 2007)

Decentralized approach for fault diagnosis of discrete event systems. - Moamar Sayed-Mouchaweh; Alexandre Philippot; Véronique Carré-Ménétrier (ICINCO-SPSMC, 2007)

Hybrid pattern recognition method to diagnose dynamic systems. - Mohamed Saïd Bouguelid; Moamar Sayed-Mouchaweh; Patrice Billaudel; Bernard Riera 001 (IFAC HMS, 2007)

Distributed modeling approach of discrete manufacturing systems by Parts of Plant. - Alexandre Philippot; Moamar Sayed-Mouchaweh; Véronique Carré-Ménétrier (ECC, 2009)

A Dynamic Classification Method for the Discrimination of Evolving Data. - Laurent Hartert; Moamar Sayed-Mouchaweh; Patrice Billaudel (IFSA/EUSFLAT Conf., 2009)

Incremental Possibilistic Approach for Online Clustering and Classification. - Moamar Sayed-Mouchaweh; Bernard Riera 001 (IFSA/EUSFLAT Conf., 2009)

Switched Hybrid Dynamic Systems identification based on pattern recognition approach. - Omar Ayad; Moamar Sayed-Mouchaweh; Patrice Billaudel (FUZZ-IEEE, 2010)

Dynamic K-Nearest Neighbors for the monitoring of evolving systems. - Laurent Hartert; Moamar Sayed-Mouchaweh; Patrice Billaudel (FUZZ-IEEE, 2010)

A Hybrid Multi-classifier to Characterize and Interpret Hemiparetic Patients Gait Coordination. - Laurent Hartert; Moamar Sayed-Mouchaweh (ICMLA, 2010)

Learning in Dynamic Environments: Application to the Identification of Hybrid Dynamic Systems. - Moamar Sayed-Mouchaweh (ICMLA, 2010)

A semi-supervised dynamic version of Fuzzy K-Nearest Neighbours to monitor evolving systems. - Laurent Hartert; Moamar Sayed-Mouchaweh; Patrice Billaudel (Evol. Syst., 2010)

Semi-supervised classification method for dynamic applications. - Moamar Sayed-Mouchaweh (Fuzzy Sets Syst., 2010)

Boolean temporal model-based approach for the diagnosis of Discrete Event Systems. - Noureddine Malki; Moamar Sayed-Mouchaweh (CASE, 2011)

Dynamic pattern recognition for the diagnosis of evolving systems. - Sofiane Mazeghrane; Laurent Hartert; Moamar Sayed-Mouchaweh (EAIS, 2011)

Learning in dynamic environments: application to the diagnosis of evolving systems. - Moamar Sayed-Mouchaweh; Omar Ayad; Noureddine Malki (EUSFLAT Conf., 2011)

Estimation of the Number of Clusters Using Heterogeneous Multiple Classifier System. - Omar Ayad; Moamar Sayed-Mouchaweh; Patrice Billaudel (ICANN (2), 2011)

Adaptive Time Window Size to Track Concept Drift. - Moamar Sayed-Mouchaweh; Janan Zaytoon; Patrice Billaudel (ICMLA (2), 2011)

Abrupt and Drift-Like Fault Diagnosis of Concurent Discrete Event Systems. - Moamar Sayed-Mouchaweh; Patrice Billaudel (ICMLA (2), 2012)

Drift Detection and Characterization for Fault Diagnosis and Prognosis of Dynamical Systems. - Antoine Chammas; Moamar Sayed-Mouchaweh; Eric Duviella; Stéphane Lecoeuche (SUM, 2012)

Discussion on fault diagnosis methods of discrete event systems. - Janan Zaytoon; Moamar Sayed-Mouchaweh (WODES, 2012)

Decentralized Fault Free Model Approach for Fault Detection and Isolation of Discrete Event Systems. - Moamar Sayed-Mouchaweh (Eur. J. Control, 2012)

A clustering-based approach for the identification of a class of temporally switched linear systems. - Moamar Sayed-Mouchaweh; Nadhir Messai (Pattern Recognit. Lett., 2012)

Advanced Pattern Recognition Approach for Fault Diagnosis of Wind Turbines. - Houari Toubakh; Moamar Sayed-Mouchaweh; Eric Duviella (ICMLA (2), 2013)

Inland navigation channel model: Application to the Cuinchy-Fontinettes reach. - Eric Duviella; Laurent Bako; Moamar Sayed-Mouchaweh; Joaquim Blesa; Yolanda Bolea; Vicenç Puig; Karine Chuquet (ICNSC, 2013)

Drift detection and monitoring in non-stationary environments. - Imen Khamassi; Moamar Sayed-Mouchaweh (EAIS, 2014)

Decentralized Diagnosis and Diagnosability of a Class of Hybrid Dynamic Systems. - Louajri H.; Moamar Sayed-Mouchaweh (ICINCO (2), 2014)

Graphical Model Based Approach for Fault Diagnosis of Wind Turbines. - Adel Aloraini; Moamar Sayed-Mouchaweh (ICMLA, 2014)

Decentralized structure for fault diagnosis of a class of hybrid dynamic systems. - H. Louajri; Moamar Sayed-Mouchaweh (MED, 2014)

Special Issue: Evolving Soft Computing Techniques and Applications. - Abdelhamid Bouchachia; Edwin Lughofer; Moamar Sayed-Mouchaweh (Appl. Soft Comput., 2014)

Dynamic supervised classification method for online monitoring in non-stationary environments. - Laurent Hartert; Moamar Sayed-Mouchaweh (Neurocomputing, 2014)

Discrete Event Systems - Diagnosis and Diagnosability - Moamar Sayed-Mouchaweh (Springer, 2014)

A non-parametric hierarchical clustering model. - Saad Mohamad; Abdelhamid Bouchachia; Moamar Sayed-Mouchaweh (EAIS, 2015)

Preface. - Moamar Sayed-Mouchaweh; Anthony Fleury; Plamen Angelov 001; Edwin Lughofer; José Antonio Iglesias 001 (EAIS, 2015)

Adaptive Modular Approach for Online Fault Diagnosis of Discrete Event Systems. - Moamar Sayed-Mouchaweh (ICMLA, 2015)

An overview on fault diagnosis and nature-inspired optimal control of industrial process applications. - Radu-Emil Precup; Plamen Angelov 001; Bruno Sielly Jales Costa; Moamar Sayed-Mouchaweh (Comput. Ind., 2015)

Self-Adaptive Windowing Approach for Handling Complex Concept Drift. - Imen Khamassi; Moamar Sayed-Mouchaweh; Moez Hammami; Khaled Ghédira (Cogn. Comput., 2015)

Adaptive and on-line learning in non-stationary environments. - Edwin Lughofer; Moamar Sayed-Mouchaweh (Evol. Syst., 2015)

Hybrid dynamic data-driven approach for drift-like fault detection in wind turbines. - Houari Toubakh; Moamar Sayed-Mouchaweh (Evol. Syst., 2015)

Decentralized fault diagnosis approach without a global model for fault diagnosis of discrete event systems. - Moamar Sayed-Mouchaweh; Edwin Lughofer (Int. J. Control, 2015)

Autonomous data stream clustering implementing split-and-merge concepts - Towards a plug-and-play approach. - Edwin Lughofer; Moamar Sayed-Mouchaweh (Inf. Sci., 2015)

A Review on Machine Learning and Data Mining Techniques for Residential Energy Smart Management. - Hajer Salem; Moamar Sayed-Mouchaweh; Ahlem Ben Hassine (ICMLA, 2016)

Active Learning for Data Streams Under Concept Drift and Concept Evolution. - Saad Mohamad; Moamar Sayed-Mouchaweh; Abdelhamid Bouchachia (STREAMEVOLV@ECML-PKDD, 2016)

Hybrid dynamic classifier for drift-like fault diagnosis in a class of hybrid dynamic systems: Application to wind turbine converters. - Houari Toubakh; Moamar Sayed-Mouchaweh (Neurocomputing, 2016)

Self-Adaptive Ensemble Classifier for Handling Complex Concept Drift. - Imen Khamassi; Moamar Sayed-Mouchaweh (IOTSTREAMING@PKDD/ECML, 2017)

Hybrid Self Adaptive Learning Scheme for Simple and Multiple Drift-like Fault Diagnosis in Wind Turbine Pitch Sensors. - Houari Toubakh; Moamar Sayed-Mouchaweh (IOTSTREAMING@PKDD/ECML, 2017)

Editorial of the special issue: adaptive and intelligent systems (AIS) for learning, control and optimization in dynamic environments. - Anthony Fleury; Edwin Lughofer; Moamar Sayed-Mouchaweh (Evol. Syst., 2017)

Discussion and Review of the Use of Neural Networks to Improve the Flexibility of Smart Grids in Presence of Distributed Renewable Ressources. - Zeineb Hammami; Moamar Sayed-Mouchaweh; Wiem Mouelhi; Lamjed Ben Said (ICMLA, 2018)

Fault Prognostics for the Predictive Maintenance of Wind Turbines: State of the Art. - Koceila Abid; Moamar Sayed-Mouchaweh; Laurence Cornez (DMLE/IOTSTREAMING@PKDD/ECML, 2018)

Editorial: Special issue on Advanced Soft Computing for Prognostic Health Management. - Mahardhika Pratama; Edwin Lughofer; Suresh Sundaram 002; Moamar Sayed-Mouchaweh; Igor Skrjanc; Fahed Mostafa (Appl. Soft Comput., 2018)

Discussion and review on evolving data streams and concept drift adapting. - Imen Khamassi; Moamar Sayed-Mouchaweh; Moez Hammami; Khaled Ghédira (Evol. Syst., 2018)

Active learning for classifying data streams with unknown number of classes. - Saad Mohamad; Moamar Sayed-Mouchaweh; Abdelhamid Bouchachia (Neural Networks, 2018)

A Bi-Criteria Active Learning Algorithm for Dynamic Data Streams. - Saad Mohamad; Abdelhamid Bouchachia; Moamar Sayed-Mouchaweh (IEEE Trans. Neural Networks Learn. Syst., 2018)

Asynchronous Stochastic Variational Inference. - Saad Mohamad; Abdelhamid Bouchachia; Moamar Sayed-Mouchaweh (INNSBDDL, 2019)

A Semi-supervised and Online Learning Approach for Non-Intrusive Load Monitoring. - Hajer Salem; Moamar Sayed-Mouchaweh (ECML/PKDD (3), 2019)

Adaptive Data-driven Approach for the Remaining Useful Life Estimation when Few Historical Degradation Sequences are Available. - Koceila Abid; Moamar Sayed-Mouchaweh; Laurence Cornez (ICMLA, 2020)

Neural networks for online learning of non-stationary data streams: a review and application for smart grids flexibility improvement. - Zeineb Hammami; Moamar Sayed-Mouchaweh; Wiem Mouelhi; Lamjed Ben Said (Artif. Intell. Rev., 2020)

Online active learning for human activity recognition from sensory data streams. - Saad Mohamad; Moamar Sayed-Mouchaweh; Abdelhamid Bouchachia (Neurocomputing, 2020)

Adaptive neurofuzzy H-infinity control of DC-DC voltage converters. - Gerasimos G. Rigatos; Pierluigi Siano; Moamar Sayed-Mouchaweh (Neural Comput. Appl., 2020)

Unsupervised Bayesian Non Parametric approach for Non-Intrusive Load Monitoring based on time of usage. - Hajer Salem; Moamar Sayed-Mouchaweh; Moncef Tagina (Neurocomputing, 2021)

Monitoring of Ball Bearing Based on Improved Real-Time OPTICS Clustering. - Hassane Hotait; Xavier Chiementin; Moamar Sayed-Mouchaweh; Lanto Rasolofondraibe (J. Signal Process. Syst., 2021)

Explainable Decision Support Tool for IoT Predictive Maintenance within the context of Industry 4.0. - Moamar Sayed-Mouchaweh; Lala H. Rajaoarisoa (ICMLA, 2022)

Switching predictive controller for building optimal thermal comfort. - Lala H. Rajaoarisoa; Mohammed-Hichem Benzaama; Nacer K. M'Sirdi; Laurent Clavier; Moamar Sayed-Mouchaweh (MED, 2022)

Fault Tolerant Attitude Estimation for Satellite at Low Earth Orbit*. - Hicham Henna; Elhadi Gasmi; Houari Toubakh; Mohamed Redouane Kafi; Mohamed Djemai; Moamar Sayed-Mouchaweh (CoDIT, 2023)

Faults explanation based on a machine learning model for predictive maintenance purposes. - Jonathan Jeremie Randriarison; Lala H. Rajaoarisoa; Moamar Sayed-Mouchaweh (ICCAD, 2023)

Wind Turbine Generator Bearing Anomaly Detection and Explanation Using RRCF Approach. - Raubertin Randrianandraina; Julien Chapuy; Lala H. Rajaoarisoa; Moamar Sayed-Mouchaweh (ICMLA, 2023)

Explainable Predictive Maintenance. - Sepideh Pashami; Slawomir Nowaczyk; Yuantao Fan; Jakub Jakubowski; Nuno Paiva; Narjes Davari; Szymon Bobek; Samaneh Jamshidi; Hamid Sarmadi; Abdallah Alabdallah; Rita P. Ribeiro; Bruno Veloso; et al. (CoRR, 2023)

Decentralized fault-tolerant controller based on cooperative smart-wireless sensors in large-scale buildings. - Lala H. Rajaoarisoa; Nacer Kouider M'Sirdi; Moamar Sayed-Mouchaweh; Laurent Clavier (J. Netw. Comput. Appl., 2023)

Deep learning for a customised head-mounted fault display system for the maintenance of wind turbines. - Abdelaziz Bouzidi; Luka Claeys; Raubertin Randrianandraina; Lala H. Rajaoarisoa; Hazem Wannous; Moamar Sayed-Mouchaweh (ICCAD, 2024)

Hybrid and co-learning approach for anomalies prediction and explanation of wind turbine systems. - Lala H. Rajaoarisoa; Michal Kuk; Szymon Bobek; Moamar Sayed-Mouchaweh (Eng. Appl. Artif. Intell., 2024)

Fault prognosis of subsurface safety valve system with limited real data using self-adaptive neural network. - Aymen Harrouz; Hajer Salem; Houari Toubakh; Mohamed Redouane Kafi; Moamar Sayed-Mouchaweh (Evol. Syst., 2024)

Satellite fault tolerant attitude control based on expert guided exploration of reinforcement learning agent. - Hicham Henna; Houari Toubakh; Mohamed Redouane Kafi; Ömer Gürsoy; Moamar Sayed-Mouchaweh; Mohamed Djemai (J. Exp. Theor. Artif. Intell., 2025)