Véronique M. Gomes

Publication Activity (10 Years)

Years Active: 2012-2021
Publications (10 Years): 5

Top Topics

Machine Learning Models

Aggregation Functions

Hyperspectral Imaging

Aggregate Queries

Top Venues

Comput. Electron. Agric.

Publications

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) (2021)
Véronique M. Gomes, Pedro Melo-Pinto
Towards robust Machine Learning models for grape ripeness assessment. JCSSE (2021)
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)
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) (2018)
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 (2017)
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)
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) (2012)