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Sébastien Thomassey
Sébastien Thomassey
Full Professor, ENSAIT-GEMTEX
在 ensait.fr 的电子邮件经过验证
标题
引用次数
引用次数
年份
Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management
HD Nguyen, KP Tran, S Thomassey, M Hamad
International Journal of Information Management 57, 102282, 2021
4362021
Sales forecasts in clothing industry: The key success factor of the supply chain management
S Thomassey
International Journal of Production Economics 128 (2), 470-483, 2010
3282010
A hybrid sales forecasting system based on clustering and decision trees
S Thomassey, A Fiordaliso
Decision Support Systems 42 (1), 408-421, 2006
2542006
A neural clustering and classification system for sales forecasting of new apparel items
S Thomassey, M Happiette
Applied Soft Computing 7 (4), 1177-1187, 2007
1532007
Introduction: Artificial intelligence for fashion industry in the big data era
S Thomassey, X Zeng
Artificial intelligence for fashion industry in the big data era, 1-6, 2018
842018
Sales forecasting in apparel and fashion industry: A review
S Thomassey
Intelligent fashion forecasting systems: Models and applications, 9-27, 2013
842013
A template of ease allowance for garments based on a 3D reverse methodology
S Thomassey, P Bruniaux
International Journal of Industrial Ergonomics 43 (5), 406-416, 2013
802013
A deep reinforcement learning based multi-criteria decision support system for optimizing textile chemical process
Z He, KP Tran, S Thomassey, X Zeng, J Xu, C Yi
Computers in Industry 125, 103373, 2021
662021
A global forecasting support system adapted to textile distribution
S Thomassey, M Happiette, JM Castelain
International Journal of Production Economics 96 (1), 81-95, 2005
662005
Multi-objective optimization of the textile manufacturing process using deep-Q-network based multi-agent reinforcement learning
Z He, KP Tran, S Thomassey, X Zeng, J Xu, C Yi
Journal of Manufacturing Systems 62, 939-949, 2022
612022
A short and mean-term automatic forecasting system––application to textile logistics
S Thomassey, M Happiette, JM Castelain
European Journal of Operational Research 161 (1), 275-284, 2005
612005
Anomaly detection using long short term memory networks and its applications in supply chain management
KP Tran, H Du Nguyen, S Thomassey
IFAC-PapersOnLine 52 (13), 2408-2412, 2019
502019
A design analysis for eco-fashion style using sensory evaluation tools: Consumer perceptions of product appearance
M Wagner, A Curteza, Y Hong, Y Chen, S Thomassey, X Zeng
Journal of Retailing and Consumer Services 51, 253-262, 2019
392019
Modeling of textile manufacturing processes using intelligent techniques: a review
Z He, J Xu, KP Tran, S Thomassey, X Zeng, C Yi
The International Journal of Advanced Manufacturing Technology 116 (1), 39-67, 2021
382021
A new sizing system based on 3D shape descriptor for morphology clustering
M Hamad, S Thomassey, P Bruniaux
Computers & Industrial Engineering 113, 683-692, 2017
312017
Optimization of garment sizing and cutting order planning in the context of mass customization
Y Xu, S Thomassey, X Zeng
The international journal of advanced manufacturing technology 106 (7), 3485 …, 2020
292020
Forecasting new apparel sales using deep learning and nonlinear neural network regression
C Giri, S Thomassey, J Balkow, X Zeng
2019 International Conference on Engineering, Science, and Industrial …, 2019
282019
AI for apparel manufacturing in big data era: a focus on cutting and sewing
Y Xu, S Thomassey, X Zeng
Artificial intelligence for fashion industry in the big data era, 125-151, 2018
272018
An automatic textile sales forecast using fuzzy treatment of explanatory variables
S Thomassey, M Happiette, JM Castelain
Journal of Textile and Apparel, Technology and Management 2 (4), 1-12, 2002
252002
Modeling color fading ozonation of reactive-dyed cotton using the Extreme Learning Machine, Support Vector Regression and Random Forest
Z He, KP Tran, S Thomassey, X Zeng, J Xu, Y Changhai
Textile Research Journal 90 (7-8), 896-908, 2020
242020
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