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Aboutalib, Z., & Agard, B. (2024). Improvement of freight consolidation through a data mining-based methodology. International Journal of Logistics Systems and Management, 49(2), 255-273. External link
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. Available
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). Available
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). External link
Ducharme, C., Agard, B., & Trépanier, M. (2024). Assessing Data Collection Strategies for VMI under Intermittent Demand. (Technical Report n° CIRRELT-2024-02). External link
Dupuis, A., Dadouchi, C., & Agard, B. (2023, July). Digital Technologies and Emotions: Spectrum of Worker Decision Behavior Analysis [Paper]. 20th IFIP WG 5.1 International Conference on Product Lifecycle Management (PLM 2023), Montreal, QC, Canada. External link
