Sylvain Létourneau

发表

Application of Rough Sets Algorithms to Prediction of Aircraft Component Failure

José M. Peña, Sylvain Létourneau, Fazel Famili, 1999, IDA.

Identification of attribute interactions and generation of globally relevant continuous features in machine learning

Stan Matwin, Sylvain Létourneau, Fazel Famili, 2003 .

Generation of Globally Relevant Continuous Features for Classification

Stan Matwin, Sylvain Létourneau, Fazel Famili, 2008, PAKDD.

Data Mining for Maintenance of Complex Systems

Sylvain Létourneau, 1998, AAAI/IAAI.

Learning to predict train wheel failures

Chunsheng Yang, Sylvain Létourneau, Chunsheng Yang, 2005, KDD '05.

A Data Driven Approach for Smart Lighting

Hongyu Guo, Chunsheng Yang, Sylvain Létourneau, 2014, IEA/AIE.

A Normalization Method for Contextual Data: Experience from a Large-Scale Application

Stan Matwin, Sylvain Létourneau, Fazel Famili, 1998, ECML.

Two-stage classifications for improving time-to-failure estimates: a case study in prognostic of train wheels

Chunsheng Yang, Sylvain Létourneau, 2008, Applied Intelligence.

Model evaluation for prognostics: estimating cost saving for the end users

Chunsheng Yang, Sylvain Létourneau, Chunsheng Yang, 2007, Sixth International Conference on Machine Learning and Applications (ICMLA 2007).

Data Fusion via Nonlinear Space Transformations

Julio J. Valdés, Chunsheng Yang, Sylvain Létourneau, 2009, SNA.

Developing Data Mining-Based Prognostic Models for CF-18 Aircraft

Sylvain Létourneau, Jeff W. Bird, Marvin Zaluski, 2011 .

Monitoring of aircraft operation using statistics and machine learning

Sylvain Létourneau, Fazel Famili, 1999, Proceedings 11th International Conference on Tools with Artificial Intelligence.

Experiments with Learning Parsing Heuristics

Stan Matwin, Sylvain Delisle, Sylvain Létourneau, 1998, COLING-ACL.

APU FMEA Validation and Its Application to Fault Identification

Chunsheng Yang, Sylvain Létourneau, Elizabeth Scarlett, 2010 .

Developing Data-driven Models to Predict BEMS Energy Consumption for Demand Response Systems

Hongyu Guo, Chunsheng Yang, Sylvain Létourneau, 2014, IEA/AIE.

APU FMEA Validation Using Operation and Maintenance Data

Chunsheng Yang, Sylvain Létourneau, Elizabeth Scarlett, 2009 .

Data mining to predict aircraft component replacement

Stan Matwin, Sylvain Létourneau, Fazel Famili, 1999, IEEE Intell. Syst..

Discovering patterns for prognostics: a case study in prognostics of train wheels

Chunsheng Yang, Sylvain Létourneau, 2011, IEA/AIE'11.

DEVELOPING DATA MINING-BASED PROGNOSTIC MODELS FOR CF-18

Sylvain Létourneau, Jeff W. Bird, Marvin Zaluski, 2010 .

On-Demand Regression to Improve Preciseness of Time to Failure Predictions

Chunsheng Yang, Sylvain Létourneau, Zhenkai Liu, 2007, AAAI Fall Symposium: Artificial Intelligence for Prognostics.

Data mining to detect abnormal behavior in aerospace data

José M. Peña, Sylvain Létourneau, Fazel Famili, 2000, KDD '00.

Machine learning-based methods for TTF estimation with application to APU prognostics

Jie Liu, Chunsheng Yang, Sylvain Létourneau, 2016, Applied Intelligence.

Iterative classification for multiple target attributes

Hongyu Guo, Sylvain Létourneau, Hongyu Guo, 2012, Journal of Intelligent Information Systems.

A DOMAIN INDEPENDENT DATA MINING METHODOLOGY FOR PROGNOSTICS

Chunsheng Yang, Chris Drummond, Sylvain Létourneau, 2010 .

Comparison of metrics to monitor and compensate for piezoceramic debonding in structural health monitoring

Patrice Masson, Pierre-Claude Ostiguy, Nicolas Quaegebeur, 2013 .