Stéphane Lecoeuche

Orcid: 0000-0002-5599-1185

According to our database1, Stéphane Lecoeuche authored at least 58 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Modélisation des Données de Maintenance des Bâtiments : Vers une Approche Sémantique.
Proceedings of the Extraction et Gestion des Connaissances, 2024

2023
Uncertainty Quantification for Efficient and Risk-Sensitive Reinforcement Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

A Comprehensive Analysis on Associative Classification in Building Maintenance Datasets.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023

Multi-Objective Deep Q-Networks for Domestic Hot Water Systems Control.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

2020
Purchase intention-based agent for customer behaviours.
Inf. Sci., 2020

Extracting Seasonal Gradual Patterns from Temporal Sequence Data Using Periodic Patterns Mining.
CoRR, 2020

Mining Frequent Seasonal Gradual Patterns.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2020

2019
Stability Analysis for Switched Uncertain Nonlinear Systems With Dwell Time and Delay in the Active Mode Detection.
IEEE Control. Syst. Lett., 2019

Auto-adaptive and Dynamical Clustering for Double Open-Circuit Fault Diagnosis of Power Inverters.
Proceedings of the 4th Conference on Control and Fault Tolerant Systems, 2019

Auto-adaptive and Dynamical Clustering for Open-Circuit Fault Diagnosis of Power Inverters.
Proceedings of the 17th European Control Conference, 2019

Hierarchical classification scheme for real-time recognition of physical activities and postural transitions using smartphone inertial sensors.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Kinematic Spline Curves: A temporal invariant descriptor for fast action recognition.
Image Vis. Comput., 2018

An extension of kernel learning methods using a modified Log-Euclidean distance for fast and accurate skeleton-based Human Action Recognition.
Comput. Vis. Image Underst., 2018

Improvement of a Predictive Data-Driven Model for Rainfall-Runoff Global Characterization of Aa River.
Proceedings of the 4th IEEE International Forum on Research and Technology for Society and Industry, 2018

Stability analysis for switched linear systems with dwell time and delay in the active mode detection.
Proceedings of the 16th European Control Conference, 2018

Prediction of Standardized Energy Consumption of Existing Buildings Based on Hybrid Systems Modeling and Control.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2016
User in the Loop: Adaptive Smart Homes Exploiting User Feedback - State of the Art and Future Directions.
Inf., 2016

A fast and accurate motion descriptor for human action recognition applications.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
3D real-time human action recognition using a spline interpolation approach.
Proceedings of the 2015 International Conference on Image Processing Theory, 2015

Similarity-based residual useful life prediction for partially unknown cycle varying degradation.
Proceedings of the 2015 IEEE Conference on Prognostics and Health Management, 2015

Online person identification and new person discovery using appearance features.
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015

2014
Application of an incremental SVM algorithm for on-line human recognition from video surveillance using texture and color features.
Neurocomputing, 2014

Purchase Intention Based Model for a Behavioural Simulation of Sale Space.
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

2013
A sparse optimization approach to state observer design for switched linear systems.
Syst. Control. Lett., 2013

Multi Spatio-Temporal Co-occurrence Measures for Human Action Classification.
Proceedings of the 13. IAPR International Conference on Machine Vision Applications, 2013

Fault diagnosis of wind turbine drive train faults based on dynamical clustering.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Drift Detection and Characterization for Fault Diagnosis and Prognosis of Dynamical Systems.
Proceedings of the Scalable Uncertainty Management - 6th International Conference, 2012

Prognosis Based on Handling Drifts in Dynamical Environments: Application to a Wind Turbine Benchmark.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Human action classification using surf based spatio-temporal correlated descriptors.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Using Forward-backward Contractors to Identify Parasitic Parameters of Electrical Circuits Working in High Frequency.
Proceedings of the ICINCO 2012 - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Rome, Italy, 28, 2012

The minimum-time problem for discrete-time linear systems: A non-smooth optimization approach.
Proceedings of the IEEE International Conference on Control Applications, 2012

2011
A numerical solution to the minimum-time control problem for linear discrete-time systems
CoRR, 2011

Multi-agent Simulation Design Driven by Real Observations and Clustering Techniques.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

On-Line Human Recognition from Video Surveillance Using Incremental SVM on Texture and Color Features.
Proceedings of the Adaptive and Intelligent Systems - Second International Conference, 2011

Triggering Rules for Conversational Agents in Trading Situations.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 1, 2011

A new state observer for switched linear systems using a non-smooth optimization approach.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Temporal video segmentation using a switched affine models identification technique.
Proceedings of the 2nd International Conference on Image Processing Theory Tools and Applications, 2010

Appearance-Based Person Recognition Using Clothes Classification.
Proceedings of the 2010 International Conference on Image Processing, 2010

An ℓ0-ℓ1 norm based optimization procedure for the identification of switched nonlinear systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Real-Time Emulation of a Hydrogen-Production Process for Assessment of an Active Wind-Energy Conversion System.
IEEE Trans. Ind. Electron., 2009

On-line structured subspace identification with application to switched linear systems.
Int. J. Control, 2009

On-line Face Tracking under Large Lighting Condition Variations using Incremental Learning.
Proceedings of the VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009, 2009

Incremental and Decremental Multi-category Classification by Support Vector Machines.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Dynamical Clustering Technique to Estimate the Probability of the Failure Occurrence of Process Subjected to Slow Degradation.
Proceedings of the ICINCO 2009, 2009

Switched affine models for describing nonlinear systems.
Proceedings of the 3rd IFAC Conference on Analysis and Design of Hybrid Systems, 2009

2008
Propagator-based methods for recursive subspace model identification.
Signal Process., 2008

SAKM: Self-adaptive kernel machine A kernel-based algorithm for online clustering.
Neural Networks, 2008

Online Clustering of Non-stationary Data Using Incremental and Decremental SVM.
Proceedings of the Artificial Neural Networks, 2008

A least squares approach to the subspace identification problem.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2006
Presenting the special issue on Engineering Applications of Neural Networks - Novel applications of neural networks in engineering.
Eng. Appl. Artif. Intell., 2006

Online Classification of switching Models based on subspace Framework.
Proceedings of the 2nd IFAC Conference on Analysis and Design of Hybrid Systems, 2006

2005
A New Kernel-Based Algorithm for Online Clustering.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

System Drifts Monitoring using a Neural Supervision System.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005

2004
New supervision architecture based on on-line modelling of non-stationary data.
Neural Comput. Appl., 2004

2003
Auto-adaptive and Dynamical Clustering Neural Network.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
Unsupervised classifier for monitoring and diagnostic of time series.
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

2001
Improvement of Cluster Detection and Labeling Neural Network by Introducing Elliptical Basis Function.
Proceedings of the Artificial Neural Networks, 2001

1999
Introduction of a new notion into RBF networks: the shape concept.
Proceedings of the International Joint Conference Neural Networks, 1999


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