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Sébastien Thomassey
Sébastien Thomassey
Full Professor, ENSAIT-GEMTEX
Verified email at ensait.fr
Title
Cited by
Cited by
Year
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
3882021
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
3182010
A hybrid sales forecasting system based on clustering and decision trees
S Thomassey, A Fiordaliso
Decision Support Systems 42 (1), 408-421, 2006
2532006
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
1502007
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 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
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
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
572021
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
492022
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
482019
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
322021
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
292017
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
282020
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
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
252019
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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