Search Results - "de Souza, Renata M."
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1
Regression applied to symbolic interval-spatial data
Published in Applied intelligence (Dordrecht, Netherlands) (2024)“…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
Interval regression model adequacy checking and its application to estimate school dropout in Brazilian municipality educational scenario
Published in Pattern analysis and applications : PAA (2023)“…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
Occurrence, statutory guideline values and removal of contaminants of emerging concern by Electrochemical Advanced Oxidation Processes: A review
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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4
Bromopyrrole Alkaloid Inhibitors of the Proteasome Isolated from a Dictyonella sp. Marine Sponge Collected at the Amazon River Mouth
Published in Journal of natural products (Washington, D.C.) (26-10-2018)“…The new pyrrole-imidazole and pyrrole-guanidine alkaloids 4-debromooroidin (1), 4-debromougibohlin (2), 5-debromougibohlin (3), and 5-bromopalau’amine (4),…”
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5
Motivation to Learn Chemistry: A Thorough Analysis of the CMQ-II within the Brazilian Context
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
Logistic regression-based pattern classifiers for symbolic interval data
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
Statistical Learning for Predicting School Dropout in Elementary Education: A Comparative Study
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
Classifying metrics for assessing Object-Oriented Software Maintainability: A family of metrics’ catalogs
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
Interval symbolic feature extraction for thermography breast cancer detection
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
A weighted multivariate Fuzzy C-Means method in interval-valued scientific production data
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
Classifying breast lesions in Brazilian thermographic images using convolutional neural networks
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
Statistical learning from Brazilian fake news
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
Interval kernel regression
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
Clustering interval data through kernel-induced feature space
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
Unsupervised pattern recognition models for mixed feature-type symbolic data
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
Fuzzy Kohonen clustering networks for interval data
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
Multivariate fuzzy k-modes algorithm
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
Exploratory spatial analysis for interval data: A new autocorrelation index with COVID-19 and rent price applications
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
Parametrized linear regression for boxplot-multivalued data applied to the Brazilian Electric Sector
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
Multivariate Fuzzy C-Means algorithms with weighting
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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