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Moamar Sayed Mouchaweh
Publications
- 2021
- [j27]Hajer Salem, Moamar Sayed Mouchaweh, Moncef Tagina:
Unsupervised Bayesian Non Parametric approach for Non-Intrusive Load Monitoring based on time of usage. Neurocomputing 435: 239-252 (2021) - 2020
- [j25]Zeineb Hammami, Moamar Sayed Mouchaweh, Wiem Mouelhi, Lamjed Ben Said:
Neural networks for online learning of non-stationary data streams: a review and application for smart grids flexibility improvement. Artif. Intell. Rev. 53(8): 6111-6154 (2020) - 2019
- [c37]Hajer Salem, Moamar Sayed Mouchaweh:
A Semi-supervised and Online Learning Approach for Non-Intrusive Load Monitoring. ECML/PKDD (3) 2019: 585-601 - 2018
- [j21]Imen Khamassi, Moamar Sayed Mouchaweh, Moez Hammami, Khaled Ghédira:
Discussion and review on evolving data streams and concept drift adapting. Evol. Syst. 9(1): 1-23 (2018) - [c36]Zeineb Hammami, Moamar Sayed Mouchaweh, Wiem Mouelhi, Lamjed Ben Said:
Discussion and Review of the Use of Neural Networks to Improve the Flexibility of Smart Grids in Presence of Distributed Renewable Ressources. ICMLA 2018: 1304-1309 - 2017
- [c34]Imen Khamassi, Moamar Sayed Mouchaweh:
Self-Adaptive Ensemble Classifier for Handling Complex Concept Drift. IOTSTREAMING@PKDD/ECML 2017 - 2016
- [c32]Hajer Salem, Moamar Sayed Mouchaweh, Ahlem Ben Hassine:
A Review on Machine Learning and Data Mining Techniques for Residential Energy Smart Management. ICMLA 2016: 1073-1076 - 2015
- [j15]Imen Khamassi, Moamar Sayed Mouchaweh, Moez Hammami, Khaled Ghédira:
Self-Adaptive Windowing Approach for Handling Complex Concept Drift. Cogn. Comput. 7(6): 772-790 (2015) - 2014
- [j9]Laurent Hartert, Moamar Sayed Mouchaweh:
Dynamic supervised classification method for online monitoring in non-stationary environments. Neurocomputing 126: 118-131 (2014) - [c27]Imen Khamassi, Moamar Sayed Mouchaweh:
Drift detection and monitoring in non-stationary environments. EAIS 2014: 1-6 - 2012
- [j7]Moamar Sayed Mouchaweh, Nadhir Messai:
A clustering-based approach for the identification of a class of temporally switched linear systems. Pattern Recognit. Lett. 33(2): 144-151 (2012) - [c21]Moamar Sayed Mouchaweh, Patrice Billaudel:
Abrupt and Drift-Like Fault Diagnosis of Concurent Discrete Event Systems. ICMLA (2) 2012: 434-439 - [c19]Janan Zaytoon, Moamar Sayed Mouchaweh:
Discussion on fault diagnosis methods of discrete event systems. WODES 2012: 9-12 - 2011
- [c18]Noureddine Malki, Moamar Sayed Mouchaweh:
Boolean temporal model-based approach for the diagnosis of Discrete Event Systems. CASE 2011: 175-180 - [c17]Sofiane Mazeghrane, Laurent Hartert, Moamar Sayed Mouchaweh:
Dynamic pattern recognition for the diagnosis of evolving systems. EAIS 2011: 124-130 - [c16]Moamar Sayed Mouchaweh, Omar Ayad, Noureddine Malki:
Learning in dynamic environments: application to the diagnosis of evolving systems. EUSFLAT Conf. 2011: 396-401 - [c15]Omar Ayad, Moamar Sayed Mouchaweh, Patrice Billaudel:
Estimation of the Number of Clusters Using Heterogeneous Multiple Classifier System. ICANN (2) 2011: 165-172 - [c14]Moamar Sayed Mouchaweh, Janan Zaytoon, Patrice Billaudel:
Adaptive Time Window Size to Track Concept Drift. ICMLA (2) 2011: 41-46 - 2010
- [j6]Laurent Hartert, Moamar Sayed Mouchaweh, Patrice Billaudel:
A semi-supervised dynamic version of Fuzzy K-Nearest Neighbours to monitor evolving systems. Evol. Syst. 1(1): 3-15 (2010) - [c13]Omar Ayad, Moamar Sayed Mouchaweh, Patrice Billaudel:
Switched Hybrid Dynamic Systems identification based on pattern recognition approach. FUZZ-IEEE 2010: 1-7 - [c12]Laurent Hartert, Moamar Sayed Mouchaweh, Patrice Billaudel:
Dynamic K-Nearest Neighbors for the monitoring of evolving systems. FUZZ-IEEE 2010: 1-7 - [c10]Laurent Hartert, Moamar Sayed Mouchaweh:
A Hybrid Multi-classifier to Characterize and Interpret Hemiparetic Patients Gait Coordination. ICMLA 2010: 580-585 - 2009
- [c9]Alexandre Philippot, Moamar Sayed Mouchaweh, Véronique Carré-Ménétrier:
Distributed modeling approach of discrete manufacturing systems by Parts of Plant. ECC 2009: 4493-4498 - [c8]Laurent Hartert, Moamar Sayed Mouchaweh, Patrice Billaudel:
A Dynamic Classification Method for the Discrimination of Evolving Data. IFSA/EUSFLAT Conf. 2009: 1015-1020 - [c7]Moamar Sayed Mouchaweh, Bernard Riera:
Incremental Possibilistic Approach for Online Clustering and Classification. IFSA/EUSFLAT Conf. 2009: 1845-1850 - 2007
- [c6]Moamar Sayed Mouchaweh, Alexandre Philippot, Véronique Carré-Ménétrier:
Decentralized approach for fault diagnosis of discrete event systems. ICINCO-SPSMC 2007: 124-129 - [c5]Mohamed Saïd Bouguelid, Moamar Sayed Mouchaweh, Patrice Billaudel:
New results on diagnosis by fuzzy pattern recognition. ICINCO-ICSO 2007: 167-172 - [c4]Mohamed Saïd Bouguelid, Moamar Sayed Mouchaweh, Patrice Billaudel, Bernard Riera:
Hybrid pattern recognition method to diagnose dynamic systems. IFAC HMS 2007: 51-56 - 2006
- [c3]Moamar Sayed Mouchaweh, Alexandre Philippot, Véronique Carré-Ménétrier, Bernard Riera:
Timed-Event-State-Based Diagnoser for Manufacturing Systems. BASYS 2006: 415-424 - 2005
- [c2]Moamar Sayed Mouchaweh, Alexandre Philippot, Véronique Carré-Ménétrier:
Detectability and diagnosability of discrete event systems - application on manufacturing systemsdo. ICINCO 2005: 149-154 - 2004
- [j4]Arnaud Devillez, Moamar Sayed Mouchaweh, Patrice Billaudel:
A process monitoring module based on fuzzy logic and pattern recognition. Int. J. Approx. Reason. 37(1): 43-70 (2004) - [c1]Moamar Sayed Mouchaweh, Patrice Billaudel, Bernard Riera:
Fuzzy pattern matching with adaptive bin width histograms to maximize classification performances. FUZZ-IEEE 2004: 251-256 - 2002
- [j3]Moamar Sayed Mouchaweh, Arnaud Devillez, Gérard Villermain Lecolier, Patrice Billaudel:
Incremental learning in Fuzzy Pattern Matching. Fuzzy Sets Syst. 132(1): 49-62 (2002) - [j2]Moamar Sayed Mouchaweh, Arnaud Devillez, Gérard Villermain Lecolier, Patrice Billaudel:
Recursive learning in real time using fuzzy pattern matching. Math. Comput. Simul. 60(3-5): 209-216 (2002) - [j1]Moamar Sayed Mouchaweh, Patrice Billaudel, Gérard Villermain Lecolier:
Elimination du bruit et détection des zones de haute densité. Rev. d'Intelligence Artif. 16(3): 279-306 (2002)
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