Development of Generalized Platforms for the Analysis of Complex Datasets. - Véronique M. Gomes; Ana C. Pereira 002; Pedro M. Saraiva; Marco S. Reis (Qual. Reliab. Eng. Int., 2012)

Determination of sugar content in whole Port Wine grape berries combining hyperspectral imaging with neural networks methodologies. - Véronique M. Gomes; Armando M. Fernandes; Arlete Faia; Pedro Melo-Pinto (CIES, 2014)

Comparison of different approaches for the prediction of sugar content in new vintages of whole Port wine grape berries using hyperspectral imaging. - Véronique M. Gomes; Armando M. Fernandes; Arlete Faia; Pedro Melo-Pinto (Comput. Electron. Agric., 2017)

Applying aggregation and pre-aggregation functions in the classification of grape berries. - Giancarlo Lucca; José Antonio Sanz 001; Humberto Bustince; Graçaliz Pereira Dimuro; Véronique M. Gomes; Rui Claudio Constantino Madureira; Pedro Melo-Pinto (FUZZ-IEEE, 2018)

Using Support Vector Regression and Hyperspectral Imaging for the Prediction of Oenological Parameters on Different Vintages and Varieties of Wine Grape Berries. - Rui Silva; Véronique M. Gomes; Arlete Mendes-Faia; Pedro Melo-Pinto (Remote. Sens., 2018)

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

Application of Hyperspectral Imaging and Deep Learning for Robust Prediction of Sugar and pH Levels in Wine Grape Berries. - Véronique M. Gomes; Ana Mendes-Ferreira; Pedro Melo-Pinto (Sensors, 2021)