Search Results - "Ospina, Raydonal"

A general class of zero-or-one inflated beta regression models by Ospina, Raydonal, Ferrari, Silvia L.P.

“…This paper proposes a general class of regression models for continuous proportions when the data contain zeros or ones. The proposed class of models assumes…”
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Performance of Some Estimators of Relative Variability by Ospina, Raydonal, Marmolejo-Ramos, Fernando

“…The classic coefficient of variation (CV) is the ratio of the standard deviation to the mean and can be used to compare normally distributed data with respect…”
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Power law behaviour in the saturation regime of fatality curves of the COVID-19 pandemic by Vasconcelos, Giovani L., Macêdo, Antônio M. S., Duarte-Filho, Gerson C., Brum, Arthur A., Ospina, Raydonal, Almeida, Francisco A. G.

“…We apply a versatile growth model, whose growth rate is given by a generalised beta distribution, to describe the complex behaviour of the fatality curves of…”
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Classification and Verification of Handwritten Signatures with Time Causal Information Theory Quantifiers by Rosso, Osvaldo A, Ospina, Raydonal, Frery, Alejandro C

“…We present a new approach for handwritten signature classification and verification based on descriptors stemming from time causal information theory. The…”
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A New Wavelet-Based Privatization Mechanism for Probability Distributions by de Oliveira, Hélio M, Ospina, Raydonal, Leiva, Víctor, Martin-Barreiro, Carlos, Chesneau, Christophe

“…In this paper, we propose a new privatization mechanism based on a naive theory of a perturbation on a probability using wavelets, such as a noise perturbs the…”
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Prevalence ratio estimation via logistic regression: a tool in R by AMORIM, LEILA D., OSPINA, RAYDONAL

“…Abstract The interpretation of odds ratios (OR) as prevalence ratios (PR) in cross-sectional studies have been criticized since this equivalence is not true…”
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Machine learning classification based on k-Nearest Neighbors for PolSAR data by Ferreira, Jodavid A, Rodrigues, Anny K G, Ospina, Raydonal, Gomez, Luis

“…In this work, we focus on obtaining insights of the performances of some well-known machine learning image classification techniques (k-NN, Support Vector…”
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Adaptive kernel fuzzy clustering for missing data by Rodrigues, Anny K G, Ospina, Raydonal, Ferreira, Marcelo R P

“…Many machine learning procedures, including clustering analysis are often affected by missing values. This work aims to propose and evaluate a Kernel Fuzzy…”
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Weibull Regression and Machine Learning Survival Models: Methodology, Comparison, and Application to Biomedical Data Related to Cardiac Surgery by Cavalcante, Thalytta, Ospina, Raydonal, Leiva, Víctor, Cabezas, Xavier, Martin-Barreiro, Carlos

“…In this article, we propose a comparative study between two models that can be used by researchers for the analysis of survival data: (i) the Weibull…”
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An Overview of Forecast Analysis with ARIMA Models during the COVID-19 Pandemic: Methodology and Case Study in Brazil by Ospina, Raydonal, Gondim, João A. M, Leiva, Víctor, Castro, Cecilia

“…This comprehensive overview focuses on the issues presented by the pandemic due to COVID-19, understanding its spread and the wide-ranging effects of…”
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Learning Time Acceleration in Support Vector Regression: A Case Study in Educational Data Mining by Pimentel, Jonatha Sousa, Ospina, Raydonal, Ara, Anderson

“…The development of a country involves directly investing in the education of its citizens. Learning analytics/educational data mining (LA/EDM) allows access to…”
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Standard and Anomalous Waves of COVID-19: A Multiple-Wave Growth Model for Epidemics by Vasconcelos, Giovani L., Brum, Arthur A., Almeida, Francisco A. G., Macêdo, Antônio M. S., Duarte-Filho, Gerson C., Ospina, Raydonal

“…We apply a generalized logistic growth model, with time-dependent parameters, to describe the fatality curves of the COVID-19 disease for several countries…”
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Statistical Properties of an Unassisted Image Quality Index for SAR Imagery by Gomez, Luis, Ospina, Raydonal, Frery, Alejandro

“…The M estimator is a recently proposed image-quality index used to evaluate the despeckling operation in SAR (Synthetic Aperture Radar) data. It is used also…”
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A Statistical Methodology for Evaluating Asymmetry after Normalization with Application to Genomic Data by Leiva, Víctor, Corzo, Jimmy, Vergara, Myrian E, Ospina, Raydonal, Castro, Cecilia

“…This study evaluates the symmetry of data distributions after normalization, focusing on various statistical tests, including a few explored test named Rp. We…”
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Wavelet Support Vector Censored Regression by Maia, Mateus, Pimentel, Jonatha Sousa, Ospina, Raydonal, Ara, Anderson

“…Learning methods in survival analysis have the ability to handle censored observations. The Cox model is a predictive prevalent statistical technique for…”
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Modelling fatality curves of COVID-19 and the effectiveness of intervention strategies by Vasconcelos, Giovani L, Macêdo, Antônio M.S, Ospina, Raydonal, Almeida, Francisco A.G, Duarte-Filho, Gerson C, Brum, Arthur A, Souza, Inês C.L

“…The main objective of the present article is twofold: first, to model the fatality curves of the COVID-19 disease, as represented by the cumulative number of…”
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Ensemble Algorithms to Improve COVID-19 Growth Curve Estimates by Ospina, Raydonal, Oliveira, Jaciele, Ferraz, Cristiano, Leite, André, Gondim, João

“…In January 2020, the world was taken by surprise as a novel disease, COVID-19, emerged, attributed to the new SARS-CoV-2 virus. Initial cases were reported in…”
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Bootstrap Assessment of Crop Area Estimates Using Satellite Pixels Counting by Ferraz, Cristiano, Delincé, Jacques, Leite, André, Ospina, Raydonal

“…Crop area estimates based on counting pixels over classified satellite images are a promising application of remote sensing to agriculture. However, such area…”
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Similarity-Based Predictive Models: Sensitivity Analysis and a Biological Application with Multi-Attributes by Sanchez, Jeniffer D, Rêgo, Leandro C, Ospina, Raydonal, Leiva, Víctor, Chesneau, Christophe, Castro, Cecilia

“…Predictive models based on empirical similarity are instrumental in biology and data science, where the premise is to measure the likeness of one observation…”
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Biased Random-Key Genetic Algorithm with Local Search Applied to the Maximum Diversity Problem by Silva, Geiza, Leite, André, Ospina, Raydonal, Leiva, Víctor, Figueroa-Zúñiga, Jorge, Castro, Cecilia

“…The maximum diversity problem (MDP) aims to select a subset with a predetermined number of elements from a given set, maximizing the diversity among them. This…”
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