Víctor Leiva

65 papers Journal 63Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Real-Time Intelligent System Based on Machine-Learning Methods for Improving Communication in Sign Language.
IEEE Access
Víctor Leiva, Muhammad Zia Ur Rahman, Muhammad Azeem Akbar, Cecilia Castro, Mauricio Huerta, Muhammad Tanveer Riaz
2025 J jnl
Bivariate extended skew-elliptical Heckman models: mathematical characterization and an application in economic sciences.
Comput. Appl. Math.
Roberto Vila, Helton Saulo, Carolina Marchant, Víctor Leiva, Cecilia Castro
2025 J jnl
Enhanced Spatial Clustering for Crime Analysis: Novel Advances in Ward-Like and SKATER Algorithms for Brazilian Public Security.
IEEE Access
Raydonal Ospina, Alexsandra Gomes De Lima, Cristiano Ferraz, Cecilia Castro, Carlos Martín-Barreiro, Víctor Leiva
2025 J jnl
Multi-Factor Optimization and Failure-Tolerant Design of Cable-Driven Parallel Manipulators in Deep-Sea Robotics.
IEEE Access
Asim Ghaffar, Muhammad Zia Ur Rahman, Víctor Leiva, Cecilia Castro, Carlos Martín-Barreiro
2025 J jnl
Sentiment Analysis of Twitter Data on Quantum Computing: An Exploratory Silver-Label Baseline Study.
IET Softw.
Faisal Mehmood, Abeer Abdul-Aziz Alsanad, Muhammad Azeem Akbar, Víctor Leiva, Cecilia Castro
2024 J jnl
A Hybrid Fuzzy Mathematical Programming Approach for Manufacturing Inventory Models with Partial Trade Credit Policy and Reliability.
Axioms
Prasantha Bharathi Dhandapani, Kalaiarasi Kalaichelvan, Víctor Leiva, Cecilia Castro, Soundaria Ramalingam
2024 J jnl
A new taxonomy of global software development best practices using prioritization based on a fuzzy system.
J. Softw. Evol. Process.
Muhammad Azeem Akbar, Víctor Leiva
2024 J jnl
Blockchain in clinical trials: Bibliometric and network studies of applications, challenges, and future prospects based on data analytics.
Comput. Methods Programs Biomed.
Cecilia Castro, Víctor Leiva, Diego Garrido, Mauricio Huerta, Vinicius Minatogawa
2024 J jnl
Optimizing Sentiment Analysis Models for Customer Support: Methodology and Case Study in the Portuguese Retail Sector.
J. Theor. Appl. Electron. Commer. Res.
Catarina Almeida, Cecilia Castro, Víctor Leiva, Ana Cristina Braga, Ana Freitas
2024 J jnl
Symmetry and Complexity in Gene Association Networks Using the Generalized Correlation Coefficient.
Symmetry
Raydonal Ospina, Cleber M. Xavier, Gustavo H. Esteves, Patrícia Leone Espinheira, Cecilia Castro, Víctor Leiva
2023 J jnl
A new approach to data differential privacy based on regression models under heteroscedasticity with applications to machine learning repository data.
Inf. Sci.
Carlos Manchini, Raydonal Ospina, Víctor Leiva, Carlos Martín-Barreiro
2023 J jnl
An intelligent health monitoring and diagnosis system based on the internet of things and fuzzy logic for cardiac arrhythmia COVID-19 patients.
Comput. Biol. Medicine
Muhammad Zia Ur Rahman, Muhammad Azeem Akbar, Víctor Leiva, Abdullah Tahir, Muhammad Tanveer Riaz, Carlos Martín-Barreiro
2023 J jnl
Bivariate symmetric Heckman models and their characterization.
J. Multivar. Anal.
Helton Saulo, Roberto Vila, Shayane S. Cordeiro, Víctor Leiva
2023 J jnl
Bootstrap control charts for quantiles based on log-symmetric distributions with applications to the monitoring of reliability data.
Qual. Reliab. Eng. Int.
Víctor Leiva, Rafael A. dos Santos, Helton Saulo, Carolina Marchant, Yuhlong Lio
2023 J jnl
Leverage and Cook distance in regression with geostatistical data: methodology, simulation, and applications related to geographical information.
Int. J. Geogr. Inf. Sci.
Ramón Giraldo, Víctor Leiva, George Christakos
2023 J jnl
Robust Semi-Parametric Inference for Two-Stage Production Models: A Beta Regression Approach.
Symmetry
Raydonal Ospina, Samuel G. F. Baltazar, Víctor Leiva, Jorge I. Figueroa-Zúñiga, Cecilia Castro
2023 J jnl
The unit generalized half-normal quantile regression model: formulation, estimation, diagnostics, and numerical applications.
Soft Comput.
Josmar Mazucheli, Mustafa Ç. Korkmaz, André Felipe Berdusco Menezes, Víctor Leiva
2022 J jnl
A New Wavelet-Based Privatization Mechanism for Probability Distributions.
Sensors
Hélio M. de Oliveira, Raydonal Ospina, Víctor Leiva, Carlos Martín-Barreiro, Christophe Chesneau
2022 J jnl
A Type I Generalized Logistic Distribution: Solving Its Estimation Problems with a Bayesian Approach and Numerical Applications Based on Simulated and Engineering Data.
Symmetry
Bernardo Lagos-Álvarez, Nixon Jerez-Lillo, Jean P. Navarrete, Jorge I. Figueroa-Zúñiga, Víctor Leiva
2022 J jnl
A new clustering algorithm based on a radar scanning strategy with applications to machine learning data.
Expert Syst. Appl.
Lin Ma, Yi Zhang, Víctor Leiva, Shuangzhe Liu, Tiefeng Ma
2022 J jnl
A novel claim size distribution based on a Birnbaum-Saunders and gamma mixture capturing extreme values in insurance: estimation, regression, and applications.
Comput. Appl. Math.
Emilio Gómez-Déniz, Víctor Leiva, Enrique Calderín-Ojeda, Christophe Chesneau
2022 J jnl
An overview on parametric quantile regression models and their computational implementation with applications to biomedical problems including COVID-19 data.
Comput. Methods Programs Biomed.
Josmar Mazucheli, Bruna Alves, André Felipe Berdusco Menezes, Víctor Leiva
2022 J jnl
Matrix differential calculus with applications in the multivariate linear model and its diagnostics.
J. Multivar. Anal.
Shuangzhe Liu, Víctor Leiva, Dan Zhuang, Tiefeng Ma, Jorge I. Figueroa-Zúñiga
2022 J jnl
On a Novel Dynamics of SEIR Epidemic Models with a Potential Application to COVID-19.
Symmetry
Maheswari Rangasamy, Christophe Chesneau, Carlos Martín-Barreiro, Víctor Leiva
2022 J jnl
Towards roadmap to implement blockchain in healthcare systems based on a maturity model.
J. Softw. Evol. Process.
Muhammad Azeem Akbar, Víctor Leiva, Saima Rafi, Syed Furqan Qadri, Sajjad Mahmood, Ahmed Alsanad
2021 J jnl
A New Approach to Predicting Cryptocurrency Returns Based on the Gold Prices with Support Vector Machines during the COVID-19 Pandemic Using Sensor-Related Data.
Sensors
Esam Mahdi, Víctor Leiva, Saed Mara'Beh, Carlos Martín-Barreiro
2021 J jnl
A New Quantile Regression for Modeling Bounded Data under a Unit Birnbaum-Saunders Distribution with Applications in Medicine and Politics.
Symmetry
Josmar Mazucheli, Víctor Leiva, Bruna Alves, André Felipe Berdusco Menezes
2021 J jnl
A New Two-Stage Algorithm for Solving Optimization Problems.
Entropy
Sajjad Amiri Doumari, Hadi Givi, Mohammad Dehghani, Zeinab Montazeri, Víctor Leiva, Josep M. Guerrero
2021 J jnl
A Two-Stage Location Problem with Order Solved Using a Lagrangian Algorithm and Stochastic Programming for a Potential Use in COVID-19 Vaccination Based on Sensor-Related Data.
Sensors
Xavier Cabezas, Sergio García, Carlos Martín-Barreiro, Erwin Delgado, Víctor Leiva
2021 J jnl
Breakpoint Analysis for the COVID-19 Pandemic and Its Effect on the Stock Markets.
Entropy
Karime Chahuán-Jiménez, Rolando Rubilar-Torrealba, Hanns de la Fuente Mella, Víctor Leiva
2021 J jnl
Disjoint and Functional Principal Component Analysis for Infected Cases and Deaths Due to COVID-19 in South American Countries with Sensor-Related Data.
Sensors
Carlos Martín-Barreiro, John Ramírez-Figueroa, Xavier Cabezas, Víctor Leiva, Ma Purificación Galindo-Villardón
2021 J jnl
Knowledge Discovery for Higher Education Student Retention Based on Data Mining: Machine Learning Algorithms and Case Study in Chile.
Entropy
Carlos A. Palacios, José Antonio Reyes-Suárez, Lorena A. Bearzotti, Víctor Leiva, Carolina Marchant
2021 J jnl
Lot-Size Models with Uncertain Demand Considering Its Skewness/Kurtosis and Stochastic Programming Applied to Hospital Pharmacy with Sensor-Related COVID-19 Data.
Sensors
Fernando Rojas, Víctor Leiva, Mauricio Huerta, Carlos Martín-Barreiro
2021 J jnl
Modeling Mortality Based on Pollution and Temperature Using a New Birnbaum-Saunders Autoregressive Moving Average Structure with Regressors and Related-Sensors Data.
Sensors
Helton Saulo, Rubens Souza, Roberto Vila, Víctor Leiva, Robert G. Aykroyd
2021 J jnl
Optimal Sample Size for the Birnbaum-Saunders Distribution under Decision Theory with Symmetric and Asymmetric Loss Functions.
Symmetry
Eliardo Costa, Manoel Santos-Neto, Víctor Leiva
2021 J jnl
Overview of Explainable Artificial Intelligence for Prognostic and Health Management of Industrial Assets Based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses.
Sensors
Ahmad Kamal Bin Mohd Nor, Srinivasa Rao Pedapati, Masdi Muhammad, Víctor Leiva
2021 — conf
Trade Gravity Models for the Factors Affecting Foreign Trade in the Political-Administrative Regions of Chile.
AHFE (15)
Manuel Ayala, Hanns de la Fuente Mella, Víctor Leiva, Ana María Vallina-Hernandez
2020 J jnl
A Family of Skew-Normal Distributions for Modeling Proportions and Rates with Zeros/Ones Excess.
Symmetry
Guillermo Martínez-Flórez, Víctor Leiva, Emilio Gómez-Déniz, Carolina Marchant
2020 J jnl
Approximating the Distribution of the Product of Two Normally Distributed Random Variables.
Symmetry
Antonio Seijas-Macías, Amílcar Oliveira, Teresa A. Oliveira, Víctor Leiva
2020 J jnl
Econometric modeling of productivity and technical efficiency in the Chilean manufacturing industry.
Comput. Ind. Eng.
Hanns de la Fuente Mella, José Luis Rojas Fuentes, Víctor Leiva
2018 J jnl
Cumulative damage and times of occurrence for a multicomponent system: A discrete time approach.
J. Multivar. Anal.
Raúl Fierro, Víctor Leiva, Jean Paul Maidana
2017 J jnl
A methodology based on the Birnbaum-Saunders distribution for reliability analysis applied to nano-materials.
Reliab. Eng. Syst. Saf.
Víctor Leiva, Fabrizio Ruggeri, Helton Saulo, Juan F. Vivanco
2017 — conf
Towards Suicide Prevention: Early Detection of Depression on Social Media.
INSCI
Víctor Leiva, Ana Freire
2016 J jnl
A Multivariate Log-Linear Model for Birnbaum-Saunders Distributions.
IEEE Trans. Reliab.
Carolina Marchant, Víctor Leiva, Francisco José de A. Cysneiros
2016 J jnl
Influence diagnostic analysis in the possibly heteroskedastic linear model with exact restrictions.
Stat. Methods Appl.
Shuangzhe Liu, Víctor Leiva, Tie-Feng Ma, Alan H. Welsh
2016 J jnl
Inventory management for new products with triangularly distributed demand and lead-time.
Comput. Oper. Res.
Peter Fernandes Wanke, Henrique Ewbank, Víctor Leiva, Fernando Rojas
2015 J jnl
Modeling neural activity with cumulative damage distributions.
Biol. Cybern.
Víctor Leiva, Mauricio Tejo, Pierre Guiraud, Oliver Schmachtenberg, Patricio Orio, Fernando Marmolejo-Ramos
2015 J jnl
Statistical Inference on a Stochastic Epidemic Model.
Commun. Stat. Simul. Comput.
Raúl Fierro, Víctor Leiva, Narayanaswamy Balakrishnan
2015 J jnl
The Hawkes Process with Different Exciting Functions and its Asymptotic Behavior.
J. Appl. Probab.
Raúl Fierro, Víctor Leiva, Jesper Møller
2014 J jnl
A family of autoregressive conditional duration models applied to financial data.
Comput. Stat. Data Anal.
Víctor Leiva, Helton Saulo, Jeremias Leão, Carolina Marchant
2014 J jnl
Goodness-of-Fit Tests for the Birnbaum-Saunders Distribution With Censored Reliability Data.
IEEE Trans. Reliab.
Michelli Barros, Víctor Leiva, Raydonal Ospina, Aline Tsuyuguchi
2013 J jnl
Generalized Birnbaum-Saunders kernel density estimators and an analysis of financial data.
Comput. Stat. Data Anal.
Carolina Marchant, Karine Bertin, Víctor Leiva, Helton Saulo
2012 J jnl
Connection between the Hadamard and matrix products with an application to matrix-variate Birnbaum-Saunders distributions.
J. Multivar. Anal.
Francisco J. Caro-Lopera, Víctor Leiva, Narayanaswamy Balakrishnan
2012 J jnl
Shape and change point analyses of the Birnbaum-Saunders-t hazard rate and associated estimation.
Comput. Stat. Data Anal.
Cecilia Azevedo, Víctor Leiva, Emilia Athayde, Narayanaswamy Balakrishnan
2011 J jnl
Birnbaum-Saunders Mixed Models for Censored Reliability Data Analysis.
IEEE Trans. Reliab.
Cristian Villegas, Gilberto A. Paula, Víctor Leiva
2011 J jnl
Estimation of extreme percentiles in Birnbaum-Saunders distributions.
Comput. Stat. Data Anal.
Filidor V. Vilca, Lucia Santana, Víctor Leiva, Narayanaswamy Balakrishnan
2011 J jnl
On the Fernández-Steel distribution: Inference and application.
Comput. Stat. Data Anal.
Nabor O. Castillo, Héctor W. Gómez, Víctor Leiva, Antonio Sanhueza
2010 J jnl
Influence diagnostics in the tobit censored response model.
Stat. Methods Appl.
Michelli Barros, Manuel Galea, Manuel González, Víctor Leiva
2009 J jnl
A New Goodness-of-Fit Test for Censored Data with an Application in Monitoring Processes.
Commun. Stat. Simul. Comput.
Claudia Castro-Kuriss, Diana M. Kelmansky, Víctor Leiva, Elena J. Martínez
2009 J jnl
A Non-Central Version of the Birnbaum-Saunders Distribution for Reliability Analysis.
IEEE Trans. Reliab.
Pierre Guiraud, Víctor Leiva, Raúl Fierro
2009 J jnl
An R implementation for generalized Birnbaum-Saunders distributions.
Comput. Stat. Data Anal.
Michelli Barros, Gilberto A. Paula, Víctor Leiva
2009 J jnl
On the glog-normal distribution and its application to the gene expression problem.
Comput. Stat. Data Anal.
Víctor Leiva, Antonio Sanhueza, Diana M. Kelmansky, Elena J. Martínez
2008 J jnl
Lifetime analysis based on the generalized Birnbaum-Saunders distribution.
Comput. Stat. Data Anal.
Víctor Leiva, Marco Riquelme, Narayanaswamy Balakrishnan, Antonio Sanhueza
2007 J jnl
Acceptance Sampling Plans from Truncated Life Tests Based on the Generalized Birnbaum-Saunders Distribution.
Commun. Stat. Simul. Comput.
Narayanaswamy Balakrishnan, Víctor Leiva, Jorge López
2007 J jnl
Influence diagnostics in log-Birnbaum-Saunders regression models with censored data.
Comput. Stat. Data Anal.
Víctor Leiva, Michelli Barros, Gilberto A. Paula, Manuel Galea