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ORCIDVéronique 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)
Coauthor Index
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