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Ambre Dupuis

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Journal Articles

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2024
[j3]
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  - journals/sensors/KruseCDVG24
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  - https://dblp.org/rec/journals/sensors/KruseCDVG24
Jakob Adrian Kruse, Leon Ciechanowski, Ambre Dupuis, Ignacio Vazquez, Peter A. Gloor:
Leveraging the Sensitivity of Plants with Deep Learning to Recognize Human Emotions. Sensors 24(6): 1917 (2024)
2023
[j2]
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  - journals/candie/DupuisDA23
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Ambre Dupuis, Camélia Dadouchi, Bruno Agard:
A decision support system for sequencing production in the manufacturing industry. Comput. Ind. Eng. 185: 109686 (2023)
2022
[j1]
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  - journals/cea/DupuisDA22
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Ambre Dupuis, Camélia Dadouchi, Bruno Agard:
Predicting crop rotations using process mining techniques and Markov principals. Comput. Electron. Agric. 194: 106686 (2022)

Conference and Workshop Papers

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2024
[c3]
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  - conf/compsac/PuechDDP24
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Louis Puech, Ambre Dupuis, Camélia Dadouchi, Robert Pellerin:
Applied Data Analytics Approach for Defect Root Causes Analysis in Manufacturing: The Case of Multi-Product Assembly Lines. COMPSAC 2024: 264-272
2023
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  - conf/ifip5-1/DupuisDA23
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Ambre Dupuis, Camélia Dadouchi, Bruno Agard:
Digital Technologies and Emotions: Spectrum of Worker Decision Behavior Analysis. PLM (2) 2023: 197-209
2022
[c1]
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  - conf/centeris/DupuisDAP22
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Ambre Dupuis, Camélia Dadouchi, Bruno Agard, Robert Pellerin:
Forecasting Future Product Sequences To Be Processed In Tire Production Using Deep Learning Technique. CENTERIS/ProjMAN/HCist 2022: 354-361

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