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Ducharme, C., Agard, B., & Trépanier, M. (2024). Improving demand forecasting for customers with missing downstream data in intermittent demand supply chains with supervised multivariate clustering. Journal of Forecasting, 43(5), 1661-1681. Disponible
Kruse, J., Ciechanowski, L., Dupuis, A., & Gloor, P. A. (2024). Leveraging the sensitivity of plants with deep learning to recognize human emotions. Sensors, 24(6), 1917 (22 pages). Disponible
Parrenin, L., Danjou, C., Agard, B., Marchesini, G., & Barbosa, F. (2024). A decision support tool to analyze the properties of wheat, cocoa beans and mangoes from their NIR spectra. Journal of Food Science, 17252 (15 pages). Lien externe
Ducharme, C., Agard, B., & Trépanier, M. (2024). Assessing Data Collection Strategies for VMI under Intermittent Demand. (Rapport technique n° CIRRELT-2024-02). Lien externe
Dupuis, A., Dadouchi, C., & Agard, B. (juillet 2023). Digital Technologies and Emotions: Spectrum of Worker Decision Behavior Analysis [Communication écrite]. 20th IFIP WG 5.1 International Conference on Product Lifecycle Management (PLM 2023), Montreal, QC, Canada. Lien externe
