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Journal Articles
- 2017
[j4]Chunsheng Yang, Sylvain Létourneau, Jie Liu, Qiangqiang Chen, Yubin Yang:
Machine learning-based methods for TTF estimation with application to APU prognostics. Appl. Intell. 46(1): 227-239 (2017)- 2013
- [j3]Hongyu Guo, Sylvain Létourneau:
Iterative classification for multiple target attributes. J. Intell. Inf. Syst. 40(2): 283-305 (2013) - 2009
- [j2]Chunsheng Yang, Sylvain Létourneau:
Two-stage classifications for improving time-to-failure estimates: a case study in prognostic of train wheels. Appl. Intell. 31(3): 255-266 (2009) - 1999
- [j1]Sylvain Létourneau, Fazel Famili, Stan Matwin
:
Data mining to predict aircraft component replacement. IEEE Intell. Syst. 14(6): 59-66 (1999)
Conference and Workshop Papers
- 2014
- [c14]Chunsheng Yang, Sylvain Létourneau, Hongyu Guo:
Developing Data-driven Models to Predict BEMS Energy Consumption for Demand Response Systems. IEA/AIE (1) 2014: 188-197 - [c13]Hongyu Guo, Sylvain Létourneau, Chunsheng Yang:
A Data Driven Approach for Smart Lighting. IEA/AIE (2) 2014: 308-317 - 2011
- [c12]Chunsheng Yang, Sylvain Létourneau:
Discovering Patterns for Prognostics: A Case Study in Prognostics of Train Wheels. IEA/AIE (1) 2011: 165-175 - 2009
- [c11]Julio J. Valdés, Sylvain Létourneau, Chunsheng Yang:
Data Fusion via Nonlinear Space Transformations. SNA 2009: 154-159 - 2008
- [c10]Sylvain Létourneau, Stan Matwin, A. Fazel Famili:
Generation of Globally Relevant Continuous Features for Classification. PAKDD 2008: 196-208 - 2007
- [c9]Sylvain Létourneau, Chunsheng Yang, Zhenkai Liu:
On-Demand Regression to Improve Preciseness of Time to Failure Predictions. AAAI Fall Symposium: Artificial Intelligence for Prognostics 2007: 81-87 - [c8]Chunsheng Yang, Sylvain Létourneau:
Model evaluation for prognostics: estimating cost saving for the end users. ICMLA 2007: 304-309 - 2005
- [c7]Chunsheng Yang, Sylvain Létourneau:
Learning to predict train wheel failures. KDD 2005: 516-525 - 2000
- [c6]José M. Peña, Fazel Famili, Sylvain Létourneau:
Data mining to detect abnormal behavior in aerospace data. KDD 2000: 390-397 - 1999
- [c5]Fazel Famili, Sylvain Létourneau:
Monitoring of Aircraft Operation Using Statistics and Machine Learning. ICTAI 1999: 279-286 - [c4]José M. Peña, Sylvain Létourneau, Fazel Famili:
Application of Rough Sets Algorithms to Prediction of Aircraft Component Failure. IDA 1999: 473-486 - 1998
- [c3]Sylvain Létourneau:
Data Mining for Maintenance of Complex Systems. AAAI/IAAI 1998: 1178 - [c2]Sylvain Delisle, Sylvain Létourneau, Stan Matwin:
Experiments with Learning Parsing Heuristics. COLING-ACL 1998: 307-314 - [c1]Sylvain Létourneau, Stan Matwin, Fazel Famili:
A Normalization Method for Contextual Data: Experience from a Large-Scale Application. ECML 1998: 49-54
Coauthor Index
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