| 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 | 388 | 2021 |
| 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 | 319 | 2010 |
| A hybrid sales forecasting system based on clustering and decision trees S Thomassey, A Fiordaliso Decision Support Systems 42 (1), 408-421, 2006 | 253 | 2006 |
| 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 | 150 | 2007 |
| 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 | 84 | 2018 |
| Sales forecasting in apparel and fashion industry: A review S Thomassey Intelligent fashion forecasting systems: Models and applications, 9-27, 2013 | 84 | 2013 |
| 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 | 80 | 2013 |
| 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 | 66 | 2005 |
| 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 | 61 | 2005 |
| 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 | 57 | 2021 |
| 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 | 49 | 2022 |
| 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 | 48 | 2019 |
| 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 | 39 | 2019 |
| 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 | 32 | 2021 |
| 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 | 29 | 2017 |
| 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 | 28 | 2020 |
| 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 | 27 | 2018 |
| 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 | 25 | 2019 |
| 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 | 25 | 2002 |
| 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 | 24 | 2020 |
