Camila Maione

发表

Finding the Most Significant Elements for the Classification of Organic Orange Leaves: A Data Mining Approach

Rommel M. Barbosa, Elisabete A. De Nadai Fernandes, Márcio Arruda Bacchi, 2017 .

Using Cluster Analysis and ICP‐MS to Identify Groups of Ecstasy Tablets in Sao Paulo State, Brazil

Camila Maione, F. Barbosa, R. Barbosa, 2017, Journal of forensic sciences.

Elemental fingerprint profiling with multivariate data analysis to classify organic chocolate samples

Camila Maione, F. Barbosa, R. Barbosa, 2018 .

Research on social data by means of cluster analysis

Rommel M. Barbosa, Camila Maione, Donald R. Nelson, 2019, Applied Computing and Informatics.

A Cluster Analysis Methodology for the Categorization of Soil Samples for Forensic Sciences Based on Elemental Fingerprint

Nattane Luiza da Costa, Camila Maione, R. Barbosa, 2021, Appl. Artif. Intell..

Determining the geographical origin of lettuce with data mining applied to micronutrients and soil properties

A. G. Boim, Camila Maione, R. Barbosa, 2022 .

Comparative study of data mining techniques for the authentication of organic grape juice based on ICP-MS analysis

Rommel M. Barbosa, Camila Maione, Bruno Lemos Batista, 2016, Expert Syst. Appl..

Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: A review

Rommel M. Barbosa, Camila Maione, Fernando Barbosa, 2019, Comput. Electron. Agric..

Recent applications of multivariate data analysis methods in the authentication of rice and the most analyzed parameters: A review

Camila Maione, Rommel Melgaço Barbosa, Camila Maione, 2019, Critical reviews in food science and nutrition.

Establishing chemical profiling for ecstasy tablets based on trace element levels and support vector machine

Rommel M. Barbosa, Camila Maione, Andres Dobal Campiglia, 2018, Neural Computing and Applications.

Classification of geographic origin of rice by data mining and inductively coupled plasma mass spectrometry

Rommel M. Barbosa, Camila Maione, Bruno Lemos Batista, 2016, Comput. Electron. Agric..