Search Results - "de Souza, Renata M."

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  1. 1

    Regression applied to symbolic interval-spatial data by Freitas, Wanessa W. L., de Souza, Renata M. C. R., Amaral, Getúlio J. A., de Moraes, Ronei M.

    “…Symbolic data analysis is a research area related to machine learning and statistics, which provides tools to describe geo-objects, and enables several types…”
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  2. 2

    Interval regression model adequacy checking and its application to estimate school dropout in Brazilian municipality educational scenario by do Nascimento, Rafaella L. S., Fagundes, Roberta A. de A., de Souza, Renata M. C. R., Cysneiros, Francisco José A.

    “…Interval-valued data have been commonly encountered in practice, and Symbolic Data Analysis provides a solution to the statistical treatment of these data…”
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  3. 3

    Occurrence, statutory guideline values and removal of contaminants of emerging concern by Electrochemical Advanced Oxidation Processes: A review by Seibert, Daiana, Zorzo, Camila F., Borba, Fernando H., de Souza, Renata M., Quesada, Heloise B., Bergamasco, Rosângela, Baptista, Aline T., Inticher, Jonas J.

    Published in The Science of the total environment (15-12-2020)
    “…A wide variety of chemical compounds are used in human activities; however, part of these compounds reach surface water, groundwater and even water considered…”
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    Motivation to Learn Chemistry: A Thorough Analysis of the CMQ-II within the Brazilian Context by de Souza, Renata T. M. P, da Silva, Matheus dos Santos Barbosa, Barbato, Daniela M. L, Ruggiero de Guzzi, Mara Eugênia, Kasseboehmer, Ana Cláudia

    Published in Chemistry Education Research and Practice (26-09-2022)
    “…Studies on students' motivation to learn Chemistry in developed countries are largely common in the literature. However, very few studies have been carried out…”
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  6. 6

    Logistic regression-based pattern classifiers for symbolic interval data by de Souza, Renata M. C. R., Queiroz, Diego C. F., Cysneiros, Francisco José A.

    Published in Pattern analysis and applications : PAA (01-08-2011)
    “…This paper introduces different pattern classifiers for interval data based on the logistic regression methodology. Four approaches are considered. These…”
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  7. 7

    Statistical Learning for Predicting School Dropout in Elementary Education: A Comparative Study by do Nascimento, Rafaella L. S., Fagundes, Roberta A. de A., de Souza, Renata M. C. R.

    Published in Annals of data science (01-08-2022)
    “…School dropout is a significant challenge for the education system. This phenomenon is present in different environments, modalities, and stages of education…”
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  8. 8

    Classifying metrics for assessing Object-Oriented Software Maintainability: A family of metrics’ catalogs by Saraiva, Juliana de A.G., de França, Micael S., Soares, Sérgio C.B., Filho, Fernando J.C.L., de Souza, Renata M.C.R.

    Published in The Journal of systems and software (01-05-2015)
    “…•OOSM metrics’ categorization was proposed: 7 categories and 17 subcategories.•The categories were used as engine of the generation of OOSM metrics catalogs.•A…”
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  9. 9

    Interval symbolic feature extraction for thermography breast cancer detection by Araújo, Marcus C., Lima, Rita C.F., de Souza, Renata M.C.R.

    Published in Expert systems with applications (01-11-2014)
    “…•Malignant, benignant and cyst classes are classified using a symbolic feature extraction.•Features based on interval dissimilarities are obtained from breast…”
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  10. 10

    A weighted multivariate Fuzzy C-Means method in interval-valued scientific production data by Pimentel, Bruno Almeida, de Souza, Renata M.C.R.

    Published in Expert systems with applications (01-06-2014)
    “…•A weighted multivariate fuzzy clustering method for interval-valued data is introduced.•Weights measure importance of each variable to compute membership…”
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  11. 11

    Classifying breast lesions in Brazilian thermographic images using convolutional neural networks by Brasileiro, Flávia R. S., Sampaio Neto, Delmiro D., Silva Filho, Telmo M., Souza, Renata M. C. R. de, Araújo, Marcus C. de

    Published in Neural computing & applications (01-09-2023)
    “…Breast cancer is the leading cause of death from malignant tumors in women worldwide. Early diagnosis is essential for the treatment and cure of patients…”
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  12. 12

    Statistical learning from Brazilian fake news by Lima, Gabriel B., Chaves, Thiago de M., Freitas, Wanessa W. L., Souza, Renata M. C. R.

    Published in Expert systems (01-03-2023)
    “…Fake news is information that does not represent reality but is commonly shared on the internet as if it were true, mainly because of its dramatic, appealing,…”
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  13. 13

    Interval kernel regression by Fagundes, Roberta A.A., de Souza, Renata M.C.R., Cysneiros, Francisco José A.

    Published in Neurocomputing (Amsterdam) (27-03-2014)
    “…Kernel regression is more attractive when it is not possible to determine explicit parametric form of the model and moreover, it does not depend on…”
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  14. 14

    Clustering interval data through kernel-induced feature space by da Costa, Anderson F. B. F., Pimentel, Bruno A., de Souza, Renata M. C. R.

    Published in Journal of intelligent information systems (01-02-2013)
    “…Recently, kernel-based clustering in feature space has shown to perform better than conventional clustering methods in unsupervised classification. In this…”
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  15. 15

    Unsupervised pattern recognition models for mixed feature-type symbolic data by de Carvalho, Francisco de A.T., de Souza, Renata M.C.R.

    Published in Pattern recognition letters (01-04-2010)
    “…Unsupervised pattern recognition methods for mixed feature-type symbolic data based on dynamical clustering methodology with adaptive distances are presented…”
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  16. 16

    Fuzzy Kohonen clustering networks for interval data by de Almeida, Carlos W.D., de Souza, Renata M.C.R., Candeias, Ana L.B.

    Published in Neurocomputing (Amsterdam) (01-01-2013)
    “…The Fuzzy Kohonen Clustering Network combines the idea of fuzzy membership values for learning rates. It is a kind of self-organizing fuzzy neural network that…”
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  17. 17

    Multivariate fuzzy k-modes algorithm by Maciel, Diêgo B. M., Amaral, Getulio J. A., de Souza, Renata M. C. R., Pimentel, Bruno A.

    Published in Pattern analysis and applications : PAA (01-02-2017)
    “…In the fuzzy k -modes clustering, there is just one membership degree of interest by class for each individual which cannot be sufficient to model ambiguity of…”
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  18. 18

    Exploratory spatial analysis for interval data: A new autocorrelation index with COVID-19 and rent price applications by Freitas, Wanessa W.L., de Souza, Renata M.C.R., Amaral, Getúlio J.A., De Bastiani, Fernanda

    Published in Expert systems with applications (01-06-2022)
    “…This paper aims to identify the behavior of interval data associated to its respective geospatial information with in the framework of Symbolic Data Analysis…”
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  19. 19

    Parametrized linear regression for boxplot-multivalued data applied to the Brazilian Electric Sector by Reyes, Dailys M.A., Souza, Leandro C., de Souza, Renata M.C.R., de Oliveira, Adriano L.I.

    Published in Information sciences (01-01-2024)
    “…Symbolic boxplot data can be considered as a particular case of the numerical multi-valued variable. This kind of symbolic data is an useful exploratory tool…”
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  20. 20

    Multivariate Fuzzy C-Means algorithms with weighting by Pimentel, Bruno Almeida, de Souza, Renata M.C.R.

    Published in Neurocomputing (Amsterdam) (22-01-2016)
    “…With the growing interest in automatic understanding, processing and summarization of data, several application domains, such as pattern recognition, machine…”
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