Personal information

No personal information available

Activities

Collapse all

Works (9)

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

Computers and Electronics in Agriculture
2019-02 | Journal article
DOI: 10.1016/j.compag.2019.01.020
Part of ISSN: 0168-1699
Source: Self-asserted source
Camila Maione

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

Journal of Chemometrics
2018-08 | Journal article
DOI: 10.1002/cem.3036
Part of ISSN: 0886-9383
Source: Self-asserted source
Camila Maione

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

Neural Computing and Applications
2018-08 | Journal article
DOI: 10.1007/s00521-016-2736-3
Part of ISSN: 0941-0643
Part of ISSN: 1433-3058
Source: Self-asserted source
Camila Maione

Research on social data by means of cluster analysis

Applied Computing and Informatics
2018-02 | Journal article
DOI: 10.1016/j.aci.2018.02.003
Part of ISSN: 2210-8327
Source: Self-asserted source
Camila Maione

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

Critical Reviews in Food Science and Nutrition
2018-01-24 | Journal article
DOI: 10.1080/10408398.2018.1431763
Part of ISSN: 1040-8398
Part of ISSN: 1549-7852
Source: Self-asserted source
Camila Maione

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

Journal of Forensic Sciences
2017-11 | Journal article
DOI: 10.1111/1556-4029.13448
Part of ISSN: 0022-1198
Source: Self-asserted source
Camila Maione

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

Analytical Letters
2017-09-22 | Journal article
DOI: 10.1080/00032719.2017.1286667
Part of ISSN: 0003-2719
Part of ISSN: 1532-236X
Source: Self-asserted source
Camila Maione

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

Expert Systems with Applications
2016-05 | Journal article
DOI: 10.1016/j.eswa.2015.11.024
Part of ISSN: 0957-4174
Source: Self-asserted source
Camila Maione

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

Computers and Electronics in Agriculture
2016-02 | Journal article
DOI: 10.1016/j.compag.2015.11.009
Part of ISSN: 0168-1699
Source: Self-asserted source
Camila Maione
How many people are using ORCID?