Listar Artículo en revista de investigación por autor "0000-0003-2820-2918"
Mostrando ítems 21-32 de 32
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Pre-existing comorbidity, the highest risk factor for poor prognosis of COVID-19 among the Mexican population
García, Vicente; Calixto-Calderon, Basilio; Martínez-Pelaez, Rafael; Bermeo-Escalona, Josué R.; Mena, Luis J.; Maestre, Gladys; Parra-Michel, Jorge R.; Ceja-Bravo, Leobardo; Lopez-de-Alba, Pedro (2021-04-09)The coronavirus disease 2019 (COVID-19) pandemic represents a challenge for public health and a high risk for patients with pre-existing comorbidity. As of July 20, 2020, the Case Fatality Rate (CFR) was 11.30% and the ... -
Predicción del éxito de proyectos de videojuegos en Kickstarter con aprendizaje automático
García, Vicente; Rivera Zarate, Gilberto; Florencia, Rogelio; Sánchez Solís, Julia Patricia; Ochoa, Alberto; 137778; Nevarez-Castellanos, Salvador (2020-08-01)Kickstarter se ha convertido en el principal medio de financiamiento para proyectos de desarrolladores independientes. En esta plataforma se han subvencionado exitosamente alrededor de 2,500 proyectos de videojuegos. Aún ... -
Predicting airline customer satisfaction using k-nn ensemble regression models
García, Vicente (2019)Customer satisfaction questionnaires are a rich and strong source of information for companies to seek loyalty, customer and client retention, opti- mize resources, and repurchase products. Several advanced machine learning ... -
Process capability index for AC transformer under electrical harmonics
Méndez-González, Luis Carlos (2018-01-23)Nowadays, the quality of electronic devices is subjected to many variables such as electrical, thermal, mechanical and environmental factors. Voltage variation induced by electrical harmonics presented in the power lines ... -
Ranking-based MCDM models in financial management applications: analysis and emerging challenges
García, Vicente; Marqués, Ana Isabel; Sánchez, J. Salvador (2020-05-18)Over the last decades, the academic and professional communities have paid much attention toward the use of multi-criteria decision-making methods in a range of business and financial problems due to the variety and ... -
Reliability analysis for DC motors under voltage step-stress scenario
Mendez Gonzalez, Luis Carlos (2020-03-10)In reliability analysis, different stress techniques are used to know the lifetime and performance of electrical devices via accelerated life testing. One of these stress technique is the step stress, which combines the ... -
Revisiting the Dissimilarity Representation in the Context of Regression
García, Vicente (2021-11-23)In machine learning, a natural way to represent an instance is by a feature vector. However, several studies have shown that this representation may not characterize an object accurately. For classification problems, the ... -
Risk Score Based on Critical Factors Associated with COVID-19
García, Vicente; Martínez-Peláez, Rafael; Ayala Herrera, José Luís; Rivera Enrique, Solange Ivette; Sánchez Ruíz, Abraham; Córdova Albore, Liliana Carolina (2020-11-21)The rapid spread of COVID-19 among Mexican population has had a great impact on the rates of infected people and the daily confirmed deaths by the new coronavirus. As a consequence, the public and private sector response ... -
Synergetic Application of Multi-Criteria Decision-Making Models to Credit Granting Decision Problems
García, Vicente (2019-11-22)Although various algorithms have widely been studied for bankruptcy and credit risk prediction, conclusions regarding the best performing method are divergent when using different performance assessment metrics. As a ... -
The additive Perks distribution and its applications in reliability analysis
Méndez-González, Luis Carlos (2022-12-15) -
Understanding the apparent superiority of over-sampling through an analysis of local information for class-imbalanced data
García, Vicente (2019-10-14)Data plays a key role in the design of expert and intelligent systems and therefore, data preprocessing appears to be a critical step to produce high-quality data and build accurate machine learning models. Over the past ... -
Using Regression Models for Predicting the Product Quality in a Tubing Extrusion Process
Garcia, Vicente (2019-08-01)Quality in a manufacturing process implies that the performance characteristics of the product and the process itself are designed to meet specific objectives. Thus, accurate quality prediction plays a principal role in ...