2022

1. Comparison of different processing approaches by SVM and RF on HS-MS eNose and NIR Spectrometry data for the discrimination of gasoline samples

   Microchemical Journal, Vol. 172

2. Rapid Detection and Quantification of Adulterants in Fruit Juices Using Machine Learning Tools and Spectroscopy Data

   Sensors, Vol. 22, Núm. 10

3. Support Vector Machine and Random Forest processing approaches on HS-MS enose data for the discrimination of gasoline samples according to their RON

   FORENSICS 2022 - 3rd International Caparica Conference in Translational Forensics 2022