S. Lecoeuche

Stéphane Lecoeuche, Arnaud Doniec, René Mandiau, 2014, 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT).

Propagator-based methods for recursive subspace model identification

Stéphane Lecoeuche, Laurent Bako, Guillaume Mercère, 2008, Signal Process..

SAKM: Self-adaptive kernel machine A kernel-based algorithm for online clustering

Stéphane Lecoeuche, Salah Maouche, Habiboulaye Amadou Boubacar, 2008, Neural Networks.

Stability analysis for switched linear systems with dwell time and delay in the active mode detection

Stéphane Lecoeuche, Koffi M. Djidula Motchon, Lucien Etienne, 2018, 2018 European Control Conference (ECC).

Incremental and Decremental Multi-category Classification by Support Vector Machines

Stéphane Lecoeuche, Laurent Bako, Khaled Boukharouba, 2009, 2009 International Conference on Machine Learning and Applications.

Introduction of a new notion into RBF networks: the shape concept

Stéphane Lecoeuche, Jean-Paul Dubuso, S. Lecoeuche, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Predicting the air temperature of a building zone by detecting different configurations using a switched system identification technique

Balsam Ajib, Stéphane Lecoeuche, Sanda Lefteriu, 2020 .

Effect of Using Multiple Vortex Generator Rows on Heat Transfer Enhancement Inside an Asymmetrically Heated Rectangular Channel

S. Lecoeuche, S. Russeil, D. Bougeard, 2023, Applied Thermal Engineering.

The minimum-time problem for discrete-time linear systems: A non-smooth optimization approach

Stéphane Lecoeuche, Laurent Bako, Dulin Chen, 2012, 2012 IEEE International Conference on Control Applications.

A numerical solution to the minimum-time control problem for linear discrete-time systems pdf

Stéphane Lecoeuche, Laurent Bako, Dulin Chen, 2011, ArXiv.

Data-driven modeling for river flood forecasting based on a piecewise linear ARX system identification

Stéphane Lecoeuche, Eric Duviella, Baya Hadid, 2020 .

User in the Loop: Adaptive Smart Homes Exploiting User Feedback - State of the Art and Future Directions

Stéphane Lecoeuche, Anthony Fleury, Abir-Beatrice Karami, 2016, Inf..

Modelling a non-stationary single tube heat exchanger using multiple coupled local neural networks

Stéphane Lecoeuche, Sylvain Lalot, Bernard Desmet, 2005 .

Eddy Currents Signatures Classification by Using Time Series: a System Modeling Approach

Stephane Lecoeuche, Mihaly Petreczky, Blaise Kevin Guepie, 2014 .

A new state observer for switched linear systems using a non-smooth optimization approach

Stéphane Lecoeuche, Laurent Bako, L. Bako, 2011, IEEE Conference on Decision and Control and European Control Conference.

Purchase intention-based agent for customer behaviours

Stéphane Lecoeuche, Arnaud Doniec, René Mandiau, 2020, Inf. Sci..

An ℓ0−ℓ1 norm based optimization procedure for the identification of switched nonlinear systems

Stéphane Lecoeuche, Laurent Bako, Khaled Boukharouba, 2010, 49th IEEE Conference on Decision and Control (CDC).

Drift Detection and Characterization for Fault Diagnosis and Prognosis of Dynamical Systems

Stéphane Lecoeuche, Eric Duviella, Moamar Sayed Mouchaweh, 2012, SUM.

Condition monitoring architecture for maintenance of dynamical systems with unknown failure modes

Stéphane Lecoeuche, Eric Duviella, Moamar Sayed-Mouchaweh, 2012 .

Online Clustering of Non-stationary Data Using Incremental and Decremental SVM

Stéphane Lecoeuche, Khaled Boukharouba, S. Lecoeuche, 2008, ICANN.

A data-driven methodology to predict thermal behavior of residential buildings using piecewise linear models

M. H. Benzaama, Lala Rajaoarisoa, Balsam Ajib, 2020 .

On-line Face Tracking under Large Lighting Condition Variations using Incremental Learning

Stéphane Lecoeuche, Khaled Boukharouba, Jacques Boonaert, 2009, VISAPP.

Prediction of Standardized Energy Consumption of Existing Buildings Based on Hybrid Systems Modeling and Control

Balsam Ajib, Stéphane Lecoeuche, Sanda Lefteriu, 2018, 2018 IEEE Conference on Decision and Control (CDC).

Energy Efficiency of Data Centers: A data-driven model-based approach

Stephane Lecoeuche, Baya Hadid, Cecile Labarre, 2016, 2016 IEEE International Energy Conference (ENERGYCON).

Prognosis Based on Handling Drifts in Dynamical Environments: Application to a Wind Turbine Benchmark

Stéphane Lecoeuche, Eric Duviella, Antoine Chammas, 2012, 2012 11th International Conference on Machine Learning and Applications.

Application of an incremental SVM algorithm for on-line human recognition from video surveillance using texture and color features

Stéphane Lecoeuche, Anthony Fleury, Khaled Boukharouba, 2014, Neurocomputing.

On-line structured subspace identification with application to switched linear systems

Stéphane Lecoeuche, Laurent Bako, Guillaume Mercère, 2009, Int. J. Control.

On-Line Human Recognition from Video Surveillance Using Incremental SVM on Texture and Color Features

Stéphane Lecoeuche, Anthony Fleury, Jacques Boonaert, 2011, ICAIS.

Pattern recognition of industrial defects by multiresolution analysis with wavelet decomposition

Stephane Lecoeuche, Jean-Paul Dubus, Denis Deguillemont, 1998, Optics & Photonics.

AUDyC Neural Network using a new Gaussian Densities Merge Mechanism

Stéphane Lecoeuche, Salah Maouche, Habiboulaye Amadou Boubacar, 2005 .

Kinematic Spline Curves: A temporal invariant descriptor for fast action recognition

Stéphane Lecoeuche, Xavier Savatier, Jacques Boonaert, 2018, Image Vis. Comput..

Online person identification and new person discovery using appearance features

Stéphane Lecoeuche, Anthony Fleury, Jacques Boonaert, 2015, 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Switched affine models for describing nonlinear systems

Stéphane Lecoeuche, Eric Duviella, Laurent Bako, 2009, ADHS.

Set-membership methods applied to identify high-frequency elements of EMI filters

Stéphane Lecoeuche, Nadir Idir, Nacim Meslem, 2014 .

Recursive subspace identification of Hammerstein models based on least squares support vector machines

Stéphane Lecoeuche, Marco Lovera, Laurent Bako, 2009 .

Improvement of a Predictive Data-Driven Model for Rainfall-Runoff Global Characterization of Aa River

Stéphane Lecoeuche, Eric Duviella, Baya Hadid, 2018, 2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI).

A least squares approach to the subspace identification problem

Stéphane Lecoeuche, Laurent Bako, Guillaume Mercère, 2008, 2008 47th IEEE Conference on Decision and Control.

Extracting Seasonal Gradual Patterns from Temporal Sequence Data Using Periodic Patterns Mining pdf

Arnaud Doniec, Marin Lujak, Stephane Lecoeuche, 2020, ArXiv.

Modeling and Control Design of Hydrogen Production Process by Using a Causal Ordering Graph for Wind Energy Conversion System

B. Francois, Tao Zhou, S. Lecoeuche, 2007, 2007 IEEE International Symposium on Industrial Electronics.

Auto-adaptive and Dynamical Clustering Neural Network

S. Lecoeuche, Christophe Lurette, 2003, International Conference on Artificial Neural Networks.

Drift detection and characterization for condition monitoring: application to dynamical systems with unknown failure modes

Stéphane Lecoeuche, Eric Duviella, Moamar Sayed-Mouchaweh, 2015 .

Fault diagnosis of wind turbine drive train faults based on dynamical clustering

Stéphane Lecoeuche, Eric Duviella, Antoine Chammas, 2013, 52nd IEEE Conference on Decision and Control.

Self-adaptive kernel machine: online clustering in RKHS

S. Maouche, S. Lecoeuche, H.A. Boubacar, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

A New Kernel-Based Algorithm for Online Clustering

Stéphane Lecoeuche, Habiboulaye Amadou Boubacar, S. Lecoeuche, 2005, ICANN.

New supervision architecture based on on-line modelling of non-stationary data

Stéphane Lecoeuche, Sylvain Lalot, Christophe Lurette, 2004, Neural Computing & Applications.

Online Classification of switching Models based on subspace Framework

Stéphane Lecoeuche, Komi Midzodzi Pekpe, S. Lecoeuche, 2006, ADHS.

Improvement of Cluster Detection and Labeling Neural Network by Introducing Elliptical Basis Function

Stéphane Lecoeuche, Christophe Lurette, S. Lecoeuche, 2001, ICANN.

Data-driven fault detection of open circuits in multi-phase inverters based on current polarity using Auto-adaptive and Dynamical Clustering.

Stéphane Lecoeuche, Sanda Lefteriu, Eric Duviella, 2020, ISA transactions.