Search Results - "Costa, Nattane Luíza"

Geographical Classification of Tannat Wines Based on Support Vector Machines and Feature Selection by Costa, Nattane, Llobodanin, Laura, Castro, Inar, Barbosa, Rommel

“…Geographical product recognition has become an issue for researchers and food industries. One way to obtain useful information about the fingerprint of wines…”
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Predictive modeling for wine authenticity using a machine learning approach by da Costa, Nattane Luíza, Valentin, Leonardo A., Castro, Inar Alves, Barbosa, Rommel Melgaço

“…The purpose of this paper is to classify wines from 4 different countries in South America. Each class of wines is formed by samples considered by experts as…”
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A Cluster Analysis Methodology for the Categorization of Soil Samples for Forensic Sciences Based on Elemental Fingerprint by Maione, Camila, Luíza da Costa, Nattane, Barbosa, Fernando, Barbosa, Rommel Melgaço

“…Soil and dirt fragments are easily transferred from the ground to objects such as clothing, shoes, skin, nails, and tires. The elemental analysis of these…”
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Evaluation of feature selection methods based on artificial neural network weights by Luíza da Costa, Nattane, Dias de Lima, Márcio, Barbosa, Rommel

“…•A new methodology to evaluate the stability of WBFS is proposed.•A voting approach was used to compare different importance rankings.•Experiments on simulated…”
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A Review on the Application of Chemometrics and Machine Learning Algorithms to Evaluate Beer Authentication by da Costa, Nattane Luíza, da Costa, Maxwell Severo, Barbosa, Rommel

“…Beer is considered one of the top three most popular drinks, being consumed all over the world. During the last few decades, discrimination of beverages and…”
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Characterization of Cabernet Sauvignon wines from California: determination of origin based on ICP-MS analysis and machine learning techniques by da Costa, Nattane Luíza, Ximenez, Joao Paulo Bianchi, Rodrigues, Jairo Lisboa, Barbosa, Fernando, Barbosa, Rommel

“…In this paper, samples of Cabernet Sauvignon wines produced in California have been analyzed on the basis of their elemental content and classified according…”
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Finding the most important sensory descriptors to differentiate some Vitis vinifera L. South American wines using support vector machines by Costa, Nattane Luíza, Llobodanin, Laura Andrea García, Castro, Inar Alves, Barbosa, Rommel

“…The geographical recognition of wines has been extensively attempted based on chemical parameters. However, few studies have used wine sensory properties to…”
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Using Support Vector Machines and neural networks to classify Merlot wines from South America by Costa, Nattane Luíza, Llobodanin, Laura Andrea García, Castro, Inar Alves, Barbosa, Rommel

“…Wines with a clear geographical origin are an issue of interest for consumers and food industries. This paper presents a data mining study of Merlot wines from…”
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The use of data mining to classify Carménère and Merlot wines from Chile by Costa, Nattane Luíza, Llobodanin, Laura Andrea García, Castro, Inar Alves, Barbosa, Rommel

“…The identity of the Carménère variety was lost in Chile and regarded as a Merlot grape. This grape disappeared in Bordeaux, France, the country of origin of…”
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Urinary Volatomic Expression Pattern: Paving the Way for Identification of Potential Candidate Biosignatures for Lung Cancer by Taunk, Khushman, Porto-Figueira, Priscilla, Pereira, Jorge A M, Taware, Ravindra, da Costa, Nattane Luíza, Barbosa, Rommel, Rapole, Srikanth, Câmara, José S

“…The urinary volatomic profiling of Indian cohorts composed of 28 lung cancer (LC) patients and 27 healthy subjects (control group, CTRL) was established using…”
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Finding the combination of multiple biomarkers to diagnose oral squamous cell carcinoma – A data mining approach by da Costa, Nattane Luíza, de Sá Alves, Mariana, de Sá Rodrigues, Nayara, Bandeira, Celso Muller, Oliveira Alves, Mônica Ghislaine, Mendes, Maria Anita, Cesar Alves, Levy Anderson, Almeida, Janete Dias, Barbosa, Rommel

“…Data mining has proven to be a reliable method to analyze and discover useful knowledge about various diseases, including cancer research. In particular, data…”
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Analysis and improvements on feature selection methods based on artificial neural network weights by da Costa, Nattane Luíza, de Lima, Márcio Dias, Barbosa, Rommel

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Geographical recognition of Syrah wines by combining feature selection with Extreme Learning Machine by da Costa, Nattane Luíza, Llobodanin, Laura Andrea García, de Lima, Márcio Dias, Castro, Inar Alves, Barbosa, Rommel

“…•Extreme Learning Machine was used to classify Syrah wines.•Classification accuracy of above 98% was obtained.•ELM outperformed SVM and MLP. Data mining…”
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Improvements on least squares twin multi-class classification support vector machine by de Lima, Márcio Dias, Costa, Nattane Luiza, Barbosa, Rommel

“…Recently, least squares twin multi-class support vector machine (LSTKSVC) was proposed as a least squares version of twin multi-class classification support…”
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Classification of Cabernet Sauvignon from Two Different Countries in South America by Chemical Compounds and Support Vector Machines by da Costa, Nattane Luiza, Castro, Inar Alves, Barbosa, Rommel

“…A simple approach is proposed for the classification of Cabernet Sauvignon wines from two different countries in South America (Brazil and Chile). The strategy…”
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From bibliometrics to text mining: exploring feature selection methods in microarray research by Ribeiro, Guilherme Alberto Sousa, Barbosa, Rommel Melgaço, da Cunha Reis, Márcio, Costa, Nattane Luiza

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