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Nattane Luíza da Costa

Observed names: Costa, Nattane Luíza da, N. L. da Costa, Nattane L. da Costa, Nattane Luiza Costa, Nattane Luiza da Costa, Nattane Luíza Costa, Nattane Luíza Da Costa
ORCID: 0000-0001-7310-1150
Observed ORCID: 0000-0001-7310-1150
OpenAlex ID: A5077052920
Advanced data mining approaches in the assessment of urinary concentrations of bisphenols, chlorophenols, parabens and benzophenones in Brazilian children and their association to DNA damage
2018 · Bruno A. Rocha, Alexandros G. Asimakopoulos, et al. · Environment International · 137
Evaluation of feature selection methods based on artificial neural network weights
2020 · Nattane Luíza da Costa, Márcio Dias de Lima, et al. · Expert Systems with Applications · 93
Geographical recognition of Syrah wines by combining feature selection with Extreme Learning Machine
2018 · Nattane Luíza da Costa, Laura Andrea García Llobodanin, et al. · Measurement · 42
A Review on the Application of Chemometrics and Machine Learning Algorithms to Evaluate Beer Authentication
2020 · Nattane Luíza da Costa, Maxwell Severo da Costa, et al. · Food Analytical Methods · 36
Improvements on least squares twin multi-class classification support vector machine
2018 · Márcio Dias de Lima, Nattane Luiza Costa, et al. · Neurocomputing · 36
Using Support Vector Machines and neural networks to classify Merlot wines from South America
2018 · Nattane Luíza Costa, Laura Andrea García Llobodanin, et al. · Information Processing in Agriculture · 31
Characterization of Cabernet Sauvignon wines from California: determination of origin based on ICP-MS analysis and machine learning techniques
2020 · Nattane Luíza da Costa, Joao Paulo Bianchi Ximenez, et al. · European Food Research and Technology · 29
Classification of Cabernet Sauvignon from Two Different Countries in South America by Chemical Compounds and Support Vector Machines
2016 · Nattane Luiza da Costa, Inar Alves Castro, et al. · Applied Artificial Intelligence · 26
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Finding the combination of multiple biomarkers to diagnose oral squamous cell carcinoma – A data mining approach
2022 · Nattane Luíza da Costa, Mariana de Sá Alves, et al. · Computers in Biology and Medicine · 19
A Cluster Analysis Methodology for the Categorization of Soil Samples for Forensic Sciences Based on Elemental Fingerprint
2021 · Camila Maione, Nattane Luíza da Costa, et al. · Applied Artificial Intelligence · 19
The Most Important Parameters to Differentiate Tempranillo and Tempranillo Blanco Grapes and Wines through Machine Learning
2021 · T. Garde-Cerdán, N. L. da Costa, et al. · Food Analytical Methods · 17
Analysis and improvements on feature selection methods based on artificial neural network weights
2022 · Nattane Luíza da Costa, Márcio Dias de Lima, et al. · Applied Soft Computing · 16
Predictive modeling for wine authenticity using a machine learning approach
2021 · Nattane Luíza da Costa, Leonardo A. Valentin, et al. · Artificial Intelligence in Agriculture · 16
Urinary Volatomic Expression Pattern: Paving the Way for Identification of Potential Candidate Biosignatures for Lung Cancer
2022 · Khushman Taunk, Priscilla Porto-Figueira, et al. · Metabolites · 15
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Geographical Classification of Tannat Wines Based on Support Vector Machines and Feature Selection
2018 · Nattane Luíza Costa, Laura Andrea García Llobodanin, et al. · Beverages · 11
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Finding the most important sensory descriptors to differentiate some Vitis vinifera L. South American wines using support vector machines
2019 · Nattane Luíza Costa, Laura Andrea García Llobodanin, et al. · European Food Research and Technology · 5
The use of data mining to classify Carménère and Merlot wines from Chile
2018 · Nattane Luíza da Costa, Laura Andrea García Llobodanin, et al. · Expert Systems · 4
A methodological framework for wine and grape authenticity: combining bibliometrics and text mining
2025 · Nattane Luíza da Costa, Márcio Dias de Lima · Quality & Quantity · 2
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From bibliometrics to text mining: exploring feature selection methods in microarray research
2024 · Guilherme Alberto Sousa Ribeiro, Rommel Melgaço Barbosa, et al. · Communications in Statistics - Simulation and Computation · 2
Aplicação web para avaliação de oportunidade de automação de processos administrativos
2022 · Lacordaire Kemel Pimenta Cury, Nacife, Jean Marc, et al. · Zenodo (CERN European Organization for Nuclear Research)
Título do trabalho: uso e estabilidade de seletores de variáveis baseados nos pesos de conexão de redes neurais artificiais
2021 · Nattane Luíza da Costa
The use and stability of feature selectors based on artificial neural network connection weights
2021 · Costa, Nattane Luíza da · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)
Qualidade do feno de capim nilo (acroceras macrum) cortado em diferentes épocas.
2005 · R. C. Rodrigues, R. W. Coelho, et al. · infoteca-e (Brazilian Agricultural Research Corporation)
Works count: 24
Citation count: 556
H-index: 14
I10-index: 15
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