 | 2011 |
| 21 |  | Laurent Bako,
Stéphane Lecoeuche:
A new state observer for switched linear systems using a non-smooth optimization approach.
CDC-ECE 2011: 5329-5336 |
| 20 |  | Grzegorz Dziczkowski,
Arnaud Doniec,
Stéphane Lecoeuche:
Triggering Rules for Conversational Agents in Trading Situations.
ICAART (1) 2011: 382-387 |
| 19 |  | Yanyun Lu,
Anthony Fleury,
Jacques Boonaert,
Stéphane Lecoeuche:
On-Line Human Recognition from Video Surveillance Using Incremental SVM on Texture and Color Features.
ICAIS 2011: 26-39 |
| 18 |  | Imen Saffar,
Arnaud Doniec,
Jacques Boonaert,
Stéphane Lecoeuche:
Multi-agent Simulation Design Driven by Real Observations and Clustering Techniques.
ICTAI 2011: 555-560 |
| 17 |  | Laurent Bako,
Dulin Chen,
Stéphane Lecoeuche:
A numerical solution to the minimum-time control problem for linear discrete-time systems
CoRR abs/1109.3772: (2011) |
| 2010 |
| 16 |  | Laurent Bako,
Khaled Boukharouba,
Stéphane Lecoeuche:
An ℓ0-ℓ1 norm based optimization procedure for the identification of switched nonlinear systems.
CDC 2010: 4467-4472 |
| 15 |  | Lyes Hamoudi,
Jacques Boonaert,
Stéphane Lecoeuche:
Appearance-Based Person Recognition Using Clothes Classification.
IPCV 2010: 415-421 |
| 2009 |
| 14 |  | Moussa Traore,
Eric Duviella,
Stéphane Lecoeuche:
Dynamical Clustering Technique to Estimate the Probability of the Failure Occurrence of Process Subjected to Slow Degradation.
ICINCO-RA 2009: 360-365 |
| 13 |  | Khaled Boukharouba,
Laurent Bako,
Stéphane Lecoeuche:
Incremental and Decremental Multi-category Classification by Support Vector Machines.
ICMLA 2009: 294-300 |
| 12 |  | Lyes Hamoudi,
Khaled Boukharouba,
Jacques Boonaert,
Stéphane Lecoeuche:
On-line Face Tracking under Large Lighting Condition Variations using Incremental Learning.
VISAPP (1) 2009: 636-643 |
| 2008 |
| 11 |  | Laurent Bako,
Guillaume Mercère,
Stéphane Lecoeuche:
A least squares approach to the subspace identification problem.
CDC 2008: 3281-3286 |
| 10 |  | Khaled Boukharouba,
Stéphane Lecoeuche:
Online Clustering of Non-stationary Data Using Incremental and Decremental SVM.
ICANN (1) 2008: 336-345 |
| 9 |  | Habiboulaye Amadou Boubacar,
Stéphane Lecoeuche,
Salah Maouche:
SAKM: Self-adaptive kernel machine A kernel-based algorithm for online clustering.
Neural Networks 21(9): 1287-1301 (2008) |
| 8 |  | Guillaume Mercère,
Laurent Bako,
Stéphane Lecoeuche:
Propagator-based methods for recursive subspace model identification.
Signal Processing 88(3): 468-491 (2008) |
| 2006 |
| 7 |  | Stéphane Lecoeuche,
D. Tsaptsinos:
Presenting the special issue on Engineering Applications of Neural Networks - Novel applications of neural networks in engineering.
Eng. Appl. of AI 19(7): 719-720 (2006) |
| 2005 |
| 6 |  | Habiboulaye Amadou Boubacar,
Stéphane Lecoeuche:
System Drifts Monitoring using a Neural Supervision System.
Artificial Intelligence and Applications 2005: 803-808 |
| 5 |  | Habiboulaye Amadou Boubacar,
Stéphane Lecoeuche:
A New Kernel-Based Algorithm for Online Clustering.
ICANN (2) 2005: 583-588 |
| 2004 |
| 4 |  | Stéphane Lecoeuche,
Christophe Lurette,
Sylvain Lalot:
New supervision architecture based on on-line modelling of non-stationary data.
Neural Computing and Applications 13(4): 323-338 (2004) |
| 2003 |
| 3 |  | Stéphane Lecoeuche,
Christophe Lurette:
Auto-adaptive and Dynamical Clustering Neural Network.
ICANN 2003: 350-358 |
| 2002 |
| 2 |  | Stéphane Lecoeuche:
Unsupervised classifier for monitoring and diagnostic of time series.
ESANN 2002: 419-424 |
| 2001 |
| 1 |  | Christophe Lurette,
Stéphane Lecoeuche:
Improvement of Cluster Detection and Labeling Neural Network by Introducing Elliptical Basis Function.
ICANN 2001: 196-202 |