A short and mean-term automatic forecasting system–application to textile logistics. - Sébastien Thomassey; Michel Happiette; Jean Marie Castelain (Eur. J. Oper. Res., 2005)

A hybrid sales forecasting system based on clustering and decision trees. - Sébastien Thomassey; Antonio Fiordaliso (Decis. Support Syst., 2006)

A neural clustering and classification system for sales forecasting of new apparel items. - Sébastien Thomassey; Michel Happiette (Appl. Soft Comput., 2007)

Integration of an Adaptive CAD System for Flexible Furniture Industry. - Nicolas Ansel; Sébastien Thomassey; Pascal Bruniaux; Xianyi Zeng (Computational Textile, 2007)

An Algorithm Based on Neuro-Fuzzy Controller Implemented in A Smart Clothing System For Obstacle Avoidance. - Senem Kursun Bahadir; Sébastien Thomassey; Vladan Koncar; Fatma Kalaoglu (Int. J. Comput. Intell. Syst., 2013)

New human body shape descriptor based on anthropometrics points. - Moez Hamad; Sébastien Thomassey; Pascal Bruniaux (SoCPaR, 2014)

A simulation based comparison: Manual and automatic distribution setup in a textile yarn rewinding unit of a yarn dyeing factory. - Brahmadeep; Sébastien Thomassey (Simul. Model. Pract. Theory, 2014)

A new sizing system based on 3D shape descriptor for morphology clustering. - Moez Hamad; Sébastien Thomassey; Pascal Bruniaux (Comput. Ind. Eng., 2017)

A Siamese Neural Network Application for Sales Forecasting of New Fashion Products Using Heterogeneous Data. - Giuseppe Craparotta; Sébastien Thomassey; Amedeo Biolatti (Int. J. Comput. Intell. Syst., 2019)

Exploitation of Social Network Data for Forecasting Garment Sales. - Chandadevi Giri; Sébastien Thomassey; Xianyi Zeng (Int. J. Comput. Intell. Syst., 2019)

An Application of Machine Learning to Marker Prediction in Garment Industry: Marker Length Estimation by Neural Network for the Exponentially Increasing Magnitude of Possible Size Combinations. - Yanni Xu; Sébastien Thomassey; Xianyi Zeng (APPIS, 2020)

Development of a central order processing system for optimizing demand-driven textile supply chains: a real case based simulation study. - Ke Ma 008; Sébastien Thomassey; Xianyi Zeng (Ann. Oper. Res., 2020)

A reinforcement learning based decision support system in textile manufacturing process. - Zhenglei He; Kim Phuc Tran; Sébastien Thomassey; Xianyi Zeng; Changhai Yi (CoRR, 2020)

Multi-Objective Optimization of the Textile Manufacturing Process Using Deep-Q-Network Based Multi-Agent Reinforcement Learning. - Zhenglei He; Kim Phuc Tran; Sébastien Thomassey; Xianyi Zeng; Jie Xu; Changhai Yi (CoRR, 2020)

A Deep Reinforcement Learning Based Multi-Criteria Decision Support System for Textile Manufacturing Process Optimization. - Zhenglei He; Kim Phuc Tran; Sébastien Thomassey; Xianyi Zeng; Jie Xu; Haiyi Chang (CoRR, 2020)

Long Term Demand Forecasting System for Demand Driven Manufacturing. - Rita Sleiman; Kim Phuc Tran; Sébastien Thomassey (APMS (1), 2021)

FBD_Bmodel Digital Platform: A Web-Based Application for Demand Driven Fashion Supply Chain. - Sébastien Thomassey; Xianyi Zeng (APMS (1), 2021)

A deep reinforcement learning based multi-criteria decision support system for optimizing textile chemical process. - Zhenglei He; Kim Phuc Tran; Sébastien Thomassey; Xianyi Zeng; Jie Xu; Changhai Yi (Comput. Ind., 2021)

Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management. - Huu Du Nguyen 001; Kim Phuc Tran; Sébastien Thomassey; Moez Hamad (Int. J. Inf. Manag., 2021)

Forecasting Sales Profiles of Products in an Exceptional Context: COVID-19 Pandemic. - Rita Sleiman; Ahmad Mazyad; Moez Hamad; Kim Phuc Tran; Sébastien Thomassey (Int. J. Comput. Intell. Syst., 2022)

The Semisupervised Approach for Data Driven and Consumer Oriented Sizing Systems in the Clothing Industry. - Balkiss Hamad; Omar Jaafor; Sébastien Thomassey; Moez Hamad; Pascal Bruniaux (IEEE Trans. Engineering Management, 2023)