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Véronique M. Gomes
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2020 – today
- 2021
- [j4]Véronique M. Gomes
, Ana Mendes-Ferreira
, Pedro Melo-Pinto
:
Application of Hyperspectral Imaging and Deep Learning for Robust Prediction of Sugar and pH Levels in Wine Grape Berries. Sensors 21(10): 3459 (2021) - [c3]Véronique M. Gomes
, Pedro Melo-Pinto
:
Towards robust Machine Learning models for grape ripeness assessment. JCSSE 2021: 1-5
2010 – 2019
- 2018
- [j3]Rui Silva
, Véronique M. Gomes
, Arlete Mendes-Faia, Pedro Melo-Pinto
:
Using Support Vector Regression and Hyperspectral Imaging for the Prediction of Oenological Parameters on Different Vintages and Varieties of Wine Grape Berries. Remote. Sens. 10(2): 312 (2018) - [c2]Giancarlo Lucca, José Antonio Sanz, Humberto Bustince, Graçaliz Pereira Dimuro, Véronique M. Gomes
, Rui Claudio Constantino Madureira, Pedro Melo-Pinto
:
Applying aggregation and pre-aggregation functions in the classification of grape berries. FUZZ-IEEE 2018: 1-6 - 2017
- [j2]Véronique M. Gomes
, Armando M. Fernandes
, Arlete Faia, Pedro Melo-Pinto
:
Comparison of different approaches for the prediction of sugar content in new vintages of whole Port wine grape berries using hyperspectral imaging. Comput. Electron. Agric. 140: 244-254 (2017) - 2014
- [c1]Véronique M. Gomes
, Armando M. Fernandes, Arlete Faia, Pedro Melo-Pinto
:
Determination of sugar content in whole Port Wine grape berries combining hyperspectral imaging with neural networks methodologies. CIES 2014: 188-193 - 2012
- [j1]Véronique M. Gomes
, Ana C. Pereira
, Pedro M. Saraiva
, Marco S. Reis
:
Development of Generalized Platforms for the Analysis of Complex Datasets. Qual. Reliab. Eng. Int. 28(5): 508-523 (2012)
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