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Dupuis, A. (2024). Modèles d'intelligence artificielle pour la prise de décision séquentielle : l'apprentissage profond appliqué à la production manufacturière et agricole [Ph.D. thesis, Polytechnique Montréal]. Available
Dupuis, A., Dadouchi, C., & Agard, B. (2023). Methodology for multi-temporal prediction of crop rotations using recurrent neural networks. Smart Agricultural Technology, 4, 100152 (13 pages). Available
Dupuis, A., Dadouchi, C., & Agard, B. (2023). Performances of a Seq2Seq-LSTM methodology to predict crop rotations in Québec. Smart Agricultural Technology, 4, 100180 (12 pages). Available
Dupuis, A., Dadouchi, C., & Agard, B. (2023). A decision support system for sequencing production in the manufacturing industry. Computers & Industrial Engineering, 185, 109686 (14 pages). External link
Dupuis, A., Dadouchi, C., Agard, B., & Pellerin, R. (2022, November). Forecasting future product sequences to be processed in tire production using deep learning technique [Paper]. International Conference on ENTERprise Information Systems (CENTERIS 2022), Lisbon, Portugal. Published in Procedia Computer Science, 219. External link
Dupuis, A. (2023, May). Prévision des séquences de cultures pour une agriculture durable [Poster]. 90e Congrès de l'ACFAS (ACFAS 2023), Montréal, QC. External link
Dupuis, A., Dadouchi, C., & Agard, B. (2023, June). Technologies numériques et émotions : spectre d'analyse du comportement décisionnel des travailleurs [Paper]. CIGI Qualita MOSIM 2023, Trois-Rivières, Qc, Canada (7 pages). External link
Dupuis, A., Dadouchi, C., & Agard, B. (2022). Predicting crop rotations using process mining techniques and Markov principals. Computers and Electronics in Agriculture, 194, 106686 (16 pages). External link
Dupuis, A., Dadouchi, C., & Agard, B. (2022, June). Tacit knowledge in production sequencing: a Seq2Seq-LSTM approach [Paper]. 10th IFAC Conference on Manufacturing Modelling, Management and Control (MIM 2022), Nantes, France. Published in IFAC PapersOnLine, 55(10). External link
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., Dupuis, A., Danjou, C., & Agard, B. (2024, November). Machine Learning Tool for Yield Maximization in Cream Cheese Production [Paper]. 5th International Conference on Innovative Intelligent Industrial Production and Logistics (IN4PL 2024), Porto, Portugal. Published in Communications in computer and information science. External link
Puech, L., Dupuis, A., Dadouchi, C., & Pellerin, R. (2024, July). Applied Data Analytics Approach for Defect Root Causes Analysis in Manufacturing: The Case of Multi-Product Assembly Lines [Paper]. 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC 2024), Osaka, Japan. External link
