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Gabriel Riutort-Mayol

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2023
[j4]
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  - journals/sac/Riutort-MayolBA23
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  - https://dblp.org/rec/journals/sac/Riutort-MayolBA23
Gabriel Riutort-Mayol, Paul-Christian Bürkner, Michael Riis Andersen, Arno Solin, Aki Vehtari:
Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming. Stat. Comput. 33(1): 17 (2023)
2020
[j3]
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  - journals/iet-ipr/Riutort-MayolGM20
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Gabriel Riutort-Mayol, Virgilio Gómez-Rubio, Ángel Marqués-Mateu, José Luis Lerma, Antonio López-Quílez:
Bayesian multilevel random-effects model for estimating noise in image sensors. IET Image Process. 14(12): 2737-2745 (2020)
2019
[j2]
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  - journals/sensors/Molada-TebarRML19
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Adolfo Molada-Tebar, Gabriel Riutort-Mayol, Ángel Marqués-Mateu, José Luis Lerma:
A Gaussian Process Model for Color Camera Characterization: Assessment in Outdoor Levantine Rock Art Scenes. Sensors 19(21): 4610 (2019)
2012
[j1]
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  - journals/sensors/Riutort-MayolMS12
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Gabriel Riutort-Mayol, Ángel Marqués-Mateu, Ana Elena Seguí, José Luis Lerma:
Grey Level and Noise Evaluation of a Foveon X3 Image Sensor: A Statistical and Experimental Approach. Sensors 12(8): 10339-10368 (2012)

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