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1
von Gault, Mickael ; Bachaud, Pierre ; Celse, Benoit ; et al.
2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI) ICTAI Tools with Artificial Intelligence (ICTAI), 2025 IEEE 37th International Conference on. :1436-1442 Nov, 2025
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2
von Abed, Youba ; Jacques, Julien ; Costa, Victor ; et al.
16th Mediterranean Congress of Chemical Engineering; https://hal.science/hal-05555117; 16th Mediterranean Congress of Chemical Engineering, Sociedad Española de Química Industrial e Ingeniería Química, Jun 2026, L'Hospitalet de Llobregat, Spain. pp.901 - 906
Schlagworte: Hybrid ODE; Heterogeneous Transfer Learning; Kinetic Models; [MATH]Mathematics [math]; [INFO]Computer Science [cs]; [PHYS]Physics [physics]; [SDE]Environmental Sciences
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3
von Abed, Youba ; Jacques, Julien ; Costa, Victor ; et al.
29th International Symposium on Chemical Reaction Engineering & 11th Asia-Pacific Chemical Reaction Engineering; https://hal.science/hal-05554573; 29th International Symposium on Chemical Reaction Engineering & 11th Asia-Pacific Chemical Reaction Engineering, European Federation of Chemical Engineering; Asia-Pacific Chemical Reaction Engineering Symposium, May 2026, Séoul, South Korea
Schlagworte: Hydrotreatment; Kinetics Models; Heterogeneous Transfer Learning; Hybrid ODE; [MATH]Mathematics [math]; [INFO]Computer Science [cs]; [PHYS]Physics [physics]; [SPI]Engineering Sciences [physics]
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4
von Per Julian Becker ; Warumporn Pejpichestakul ; Benoit Celse
Digital Chemical Engineering, Vol 19, Iss , Pp 100295- (2026)
Schlagworte: Process modelling; Monte Carlo Markov Chains; Transfer learning; Hydroprocessing; Industrial data; Parameter identification; Chemical engineering; TP155-156; Information technology; T58.5-58.64
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5
von Iapteff, Loïc ; Jacques, Julien ; Celse, Benoit ; et al.
Industrial & Engineering Chemistry Research. 62(28):10903-10914
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6
von Becker, Per Julian ; Pejpichestakul, Warumporn ; Celse, Benoit
In Digital Chemical Engineering June 2026 19
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7
von Badlaoui, Meryem ; Cao, Ngoc Yen Phuong ; Pejpichestakul, Warumporn ; et al.
In Chemical Engineering Journal 15 September 2025 520
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8
von Straznicky, Jakob I. ; Gibson, Lauren A. ; Celse, Benoit ; et al.
In Chemical Engineering Research and Design April 2025 216:293-311
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9
von Ammar Khodja, Rayane ; Voisin, Alexandre ; Costa, Victor ; et al.
3ème Congrès Annuel de la SAGIP; https://hal.science/hal-05471853; 3ème Congrès Annuel de la SAGIP, Société d'Automatique, de Génie Industriel et de Productique, May 2025, Mulhouse, France
Schlagworte: Ensemble Learning; Bidirectional LSTM; Tennessee Eastman Process; Procédés chimiques; La détection et le diagnostic des anomalies; Automatique; [SPI]Engineering Sciences [physics]
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10
von Ammar Khodja, Rayane ; Voisin, Alexandre ; Costa, Victor ; et al.
Proceedings of the 13th IMA International Conference on Modelling in Industrial Maintenance and Reliability ; 13th IMA International Conference on Modelling in Industrial Maintenance and Reliability, MIMAR 2025 ; https://hal.science/hal-05401011 ; 13th IMA International Conference on Modelling in Industrial Maintenance and Reliability, MIMAR 2025, Institute of Mathematics and its Applications, Jul 2025, Vandœuvre-lès-Nancy, France. ⟨10.19124/ima.2025.01.54⟩
Schlagworte: [SPI]Engineering Sciences [physics]
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11
von Abed, Youba ; Celse, Benoît ; Guillaume, Denis ; et al.
European Network for Business and Industrial Statistics-25 ; https://hal.science/hal-05297926 ; European Network for Business and Industrial Statistics-25, European Network for Business and Industrial Statistics, Sep 2025, Le Pirée, Greece ; https://conferences.enbis.org/event/63/
Schlagworte: Transfer Learning; Deep Heterogeneous Transfer Learning; Heterogeneous Bayesian Transfer Learning; Heterogeneous Transfer Learning; [MATH]Mathematics [math]; [INFO]Computer Science [cs]
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12
von Abed, Youba ; Costa, Victor ; Celse, Benoit ; et al.
56es Journées de Statistique; https://hal.science/hal-05033258; 56es Journées de Statistique, Société Française de Statistique, Jun 2025, Marseille, France
Schlagworte: Heterogeneous Transfer Learning; Heterogeneous Bayesian Transfer Learning; Transfert Learning Hétérogène Bayésien; Transfert Learning Hétérogène; [STAT]Statistics [stat]
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13
von Abed, Youba ; Jacques, Julien ; Costa, Victor ; et al.
Workshop de clôture CIROQUO ; https://hal.science/hal-05080608 ; Workshop de clôture CIROQUO, May 2025, Ecully, France. 2025
Schlagworte: Heterogeneous Transfer Learning; Heterogeneous Bayesian Transfer Learning; Deep Heterogeneous Transfer Learning; Multi-Task Learning; Earlier Layers Fine-Tuning; [MATH]Mathematics [math]; [STAT]Statistics [stat]
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14
von Abed, Youba ; Jacques, Julien ; Costa, Victor ; et al.
https://hal.science/hal-05349994 ; 2025.
Schlagworte: Heterogeneous Transfer Learning; Regression Tasks; Early Layer Fine-Tuning; Kinetic Models; Hydrotreatment; [STAT]Statistics [stat]; [MATH]Mathematics [math]
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15
von Abdi, Kaveh ; Celse, Benoit ; Mcauley, Kim ; et al.
ISSN: 0008-4034.
Schlagworte: Error-in-variables model; Input uncertainties; Parameter uncertainties; Prediction uncertainties; uncertainty quantification; [PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]
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16
von Iapteff, Loïc ; Jacques, Julien ; Celse, Benoit ; et al.
53èmes Journées de Statistique de la Société Française de Statistique (SFdS); https://hal.science/hal-03671090; 53èmes Journées de Statistique de la Société Française de Statistique (SFdS), Jun 2022, Lyon, France
Schlagworte: Plan d'expérience; Transfer learning; Inférence bayésienne; [STAT]Statistics [stat]
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17
von Cao, Ngoc-Yen-Phuong ; Celse, Benoit ; Guillaume, Denis ; et al.
In Chemical Engineering Science 23 February 2020 213
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18
von Abdi, Kaveh ; Celse, Benoit ; Mcauley, Kimberley, B ; et al.
ISSN: 0001-1541.
Schlagworte: bootstrap; error-in-variables model; kinetic model; parameter estimation; uncertainty quantification; [PHYS.PHYS.PHYS-DATA-AN]Physics [physics]/Physics [physics]/Data Analysis; Statistics and Probability [physics.data-an]
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19
von Iapteff, Loïc ; Jacques, Julien ; Rolland, Matthieu ; et al.
2021 AIChE Virtual Spring Meeting and 17th Global Congress on Process Safety; https://hal.science/hal-03561361; 2021 AIChE Virtual Spring Meeting and 17th Global Congress on Process Safety, Apr 2021, virtual, United States
Schlagworte: Transfer Knowledge of Parameters; Regression modeling; Gaussian Process; MCMC algorithm; Kriging; [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]
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20
von Iapteff, Loïc ; Jacques, Julien ; Rolland, Matthieu ; et al.
52èmes Journées de Statistique de la Société Française de Statistique (SFdS); https://hal.science/hal-03561440; 52èmes Journées de Statistique de la Société Française de Statistique (SFdS), May 2020, Nice, France. pp.460-465; https://jds2020.sciencesconf.org/
Schlagworte: Transfer learning; Bayesian inference; linear model; inférence bayésienne; modèle linéaire; [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]
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21
von Becker, Per Julian ; Celse, Benoit ; Guillaume, Denis ; et al.
In Fuel 15 January 2016 164:73-82
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22
von Iapteff, Loïc ; Jacques, Julien ; Rolland, Matthieu ; et al.
ISSN: 0035-9254 ; EISSN: 1467-9876.
Schlagworte: Transfer Knowledge of Parameters; kriging; MCMC algorithm; Gaussian Process; Regression modeling; [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]; [MATH]Mathematics [math]
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23
von Becker, Per Julian ; Celse, Benoit ; Guillaume, Denis ; et al.
In Fuel 1 January 2015 139:133-143
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24
von Pejpichestakul, Warumporn ; Becker, Per Julian ; Celse, Benoit
In Computer Aided Chemical Engineering 2024 53:3115-3120
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25
von Meryem, Badlaoui ; Pejpichestakul, Warumporna ; Cao, Ngoc Yen Phuong ; et al.
Journée Scientifique CODEGEPRA (SFGP Sud-Est 2024), Proceedings
Schlagworte: Technology and Engineering
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