Lanzarini L.C.
62
Coauthors
20
Documentos
Volumen de publicaciones por año
Cargando gráfico
| Año de publicación | Num. Publicaciones |
|---|---|
| 2015 | 2 |
| 2017 | 1 |
| 2018 | 4 |
| 2019 | 1 |
| 2020 | 5 |
| 2021 | 2 |
| 2022 | 5 |
Publicaciones por áreas de conocimiento
Cargando gráfico
| Área de conocimiento | Num. Publicaciones |
|---|---|
| Ciencias de la computación | 10 |
| Aprendizaje automático | 7 |
| Algoritmo | 6 |
| Visión por computadora | 4 |
| Optimización matemática | 3 |
| Neurología | 3 |
| Transporte | 2 |
| Finanzas | 2 |
| Inteligencia artificial | 2 |
| Lógica difusa | 2 |
Publicaciones por áreas temáticas
Cargando gráfico
| Área temática | Num. Publicaciones |
|---|---|
| Métodos informáticos especiales | 6 |
| Programación informática, programas, datos, seguridad | 5 |
| Enfermedades | 5 |
| Medicina y salud | 4 |
| Dirección general | 3 |
| Ciencias de la computación | 3 |
| Otras ramas de la ingeniería | 2 |
| Transporte | 2 |
| Funcionamiento de bibliotecas y archivos | 2 |
| Fisiología humana | 2 |
Principales fuentes de datos
| Origen | Num. Publicaciones |
|---|---|
| Scopus | 20 |
| Google Scholar | 15 |
| RRAAE | 0 |
Cargando gráfico
Coautores destacados por número de publicaciones
| Coautor | Num. Publicaciones |
|---|---|
| Fernández-Bariviera A. | 12 |
| Patricia Jimbo Santana | 8 |
| GARY REYES ZAMBRANO | 4 |
| Héctor Fernando Gómez-Alvarado | 4 |
| Cesar Guevara | 3 |
| David R. Castillo Salazar | 3 |
| César Byron Guevara Maldonado | 3 |
| Javier F. Díaz | 2 |
| Charnelli M.E. | 2 |
| Estrebou C. | 2 |
Cargando gráfico
Top Keywords
Cargando gráfico
Publicaciones del autor
Academic performance of university students and its relation with employment
Conference ObjectAbstract: Educational Data Mining collects the various methods that allow extracting novelty and useful informPalabras claves:ACADEMIC PERFORMANCE, data visualization, Educational Data Mining, feature selectionAutores:Charnelli M.E., Javier F. Díaz, Lanzarini L.C.Fuentes:scopusFuzzy Cbkp_redit Risk Scoring Rules using FRvarPSO
ArticleAbstract: There is consensus that the best way for reducing insolvency situations in financial institutions isPalabras claves:Cbkp_redit risk, fuzzy rules, VarPSO (Variable Particle Swarm Optimization)Autores:Fernández-Bariviera A., Lanzarini L.C., Patricia Jimbo SantanaFuentes:googlescopusFuzzy classification rules with frvarpso using various methods for obtaining fuzzy sets
ArticleAbstract: Having strategies capable of automatically generating classification rules is highly useful in any dPalabras claves:Classification rules, Data Mining, Fuzzy C-means, fuzzy rules, Index Terms—FRvarPSO (Fuzzy Rules variable Particle Swarm Optimization)Autores:Fernández-Bariviera A., Lanzarini L.C., Patricia Jimbo SantanaFuentes:googlescopusExtraction of knowledge with population-based metaheuristics fuzzy rules applied to cbkp_redit risk
Conference ObjectAbstract: One of the goals of financial institutions is to reduce cbkp_redit risk. Consequently they must propPalabras claves:FR (Fuzzy Rules) cbkp_redit risk, VarPSO (Variable Particle Swarm Optimization)Autores:Fernández-Bariviera A., Lanzarini L.C., Patricia Jimbo SantanaFuentes:googlescopusFRvarPSO as an Alternative to Measure Cbkp_redit Risk in Financial Institutions
Conference ObjectAbstract: When assessing potential clients and their cbkp_redit status, financial institutions must use methodPalabras claves:Cbkp_redit risk, Classification rules, FRvarPSO (fuzzy rules variable particle swarm optimization), fuzzy rulesAutores:Fernández-Bariviera A., Lanzarini L.C., Patricia Jimbo SantanaFuentes:googlescopus