Listar por materia "Machine learning"

Analysis of clinical prognostic variables for Chronic Lymphocytic Leukemia decision-making problems

Andrés Galiana, Enrique Juan de

; Fernández Martínez, Juan Luis

; Luaces Rodríguez, Óscar

; Coz Velasco, Juan José del

; Huergo Zapico, Leticia

; Acebes Huerta, Andrea

; González Rodríguez, Segundo

; González Rodríguez, Ana Pilar

(Elsevier, 2016-04)

Analysis of Neural Networks Used by Artificial Intelligence in the Energy Transition with Renewable Energies

Iglesias-Sanfeliz Cubero, Íñigo Manuel; Meana Fernández, Andrés

; Ríos Fernández, Juan Carlos

; Ackermann, Thomas; Gutiérrez Trashorras, Antonio José

(MDPI, 2024)

Analyzing superstars’ power using support vector machines

Suárez Vázquez, Ana

; Quevedo Pérez, José Ramón

(Springer, 2015-12)

Data from "Heterogeneous tree structure classification to label Java programmers according to their expertise level"

Ortín Soler, Francisco

; Rodríguez Prieto, Óscar

; Pascual, Nicolás; García Rodríguez, Miguel

(2019-06-13)

Evaluation of the Impact of the Angle of Incidence Discretization in Surrogate Models of Periodic Cells in Reflectarray Antenna Analysis

Rodríguez Prado, Daniel

; López Fernández, Jesús Alberto

; Arrebola Baena, Manuel

; Goussetis, George (IEEE, 2020-07)

A heuristic for learning decision trees and pruning them into classification rules

Ranilla Pastor, José

; Luaces Rodríguez, Óscar

; Bahamonde Rionda, Antonio

(IOS Press, 2003)

Identifying market segments in beef: Breed, slaughter weight and ageing time implications

Díez Peláez, Jorge

; Coz Velasco, Juan José del

; Bahamonde Rionda, Antonio

; Sañudo, Carlos; Olleta, J. L.; Macie, S.; Campo, M. M.; Panea, Begoña; Albertí, P. (Elsevier, 2006)

Interactive Dimensionality Reduction for Visual Analytics

Díaz Blanco, Ignacio

; Cuadrado Vega, Abel Alberto

; Pérez López, Daniel

; García Fernández, Francisco Javier

; Verleysen, Michel (ESANN, 2014)

On the prediction of Hodgkin lymphoma treatment response

Andrés Galiana, Enrique Juan de

; Fernández Martínez, Juan Luis

; Luaces Rodríguez, Óscar

; Coz Velasco, Juan José del

; Fernández, R.; Solano, Julia; Nogués, E. A.; González Rodríguez, Ana Pilar

(2015)

On the use of the angle of incidence in support vector regression surrogate models for practical reflectarray design

Rodríguez Prado, Daniel

; López Fernández, Jesús Alberto

; Arrebola Baena, Manuel

; Goussetis, George (IEEE, 2021)

Ordinal classification/regression for analyzing the influence of superstars on spectators in cinema marketing

Montañés Roces, Elena

; Suárez Vázquez, Ana

; Quevedo Pérez, José Ramón

(Elsevier, 2014)

Predicción de rotura de tuberías en redes de abastecimiento de agua a través de un modelo de regresión logística

Robles Velasco, Alicia; Cortés Achedad, Pablo; Muñuzuri Sanz, Jesús; Barbadilla Martín, Elena (Servicio de Publicaciones de la Universidad de Oviedo, 2019)

Selección y evaluación de tecnologías de aprendizaje máquina automatizado para la resolución de problemas de inteligencia artificial en el ámbito industrial.

Camba Fernández, Samuel (2021-02-18)

Shaped-Beam Reflectarray with a 15% Bandwidth Optimized Using Support Vector Regression

Rodríguez Prado, Daniel

; López Fernández, Jesús Alberto

; Arrebola Baena, Manuel

; Rodríguez Pino, Marcos

; Goussetis, George (IEEE, 2020-07)

Superstars power, mining the paths to stars’ persuasion

Suárez Vázquez, Ana

; Montañés Roces, Elena

(Springer, 2015-12)

Support vector regression-enabled optimization strategy of dual circularly-polarized shaped-beam reflectarray with improved cross-polarization performance

Rodriguez Prado, Daniel; Naseri, Parinaz; López Fernández, Jesús Alberto

; Hum, Sean Victor; Arrebola Baena, Manuel

(IEEE, 2023-01)

Systematic Study of the Influence of the Angle of Incidence Discretization in Reflectarray Analysis to Improve Support Vector Regression Surrogate Models

Rodríguez Prado, Daniel

; López Fernández, Jesús Alberto

; Arrebola Baena, Manuel

(MDPI, 2020-12-10)

Using nondeterministic learners to alert on coffee rust disease

Luaces Rodríguez, Óscar

; Rodrigues, Luiz Henrique Antunes; Meira, Carlos Alberto Alves; Bahamonde Rionda, Antonio

(Elsevier, 2011)

Listar por materia "Machine learning"

Analysis of clinical prognostic variables for Chronic Lymphocytic Leukemia decision-making problems ﻿

Analysis of Neural Networks Used by Artificial Intelligence in the Energy Transition with Renewable Energies ﻿

Analyzing superstars’ power using support vector machines ﻿

Data from "Heterogeneous tree structure classification to label Java programmers according to their expertise level" ﻿

Evaluation of the Impact of the Angle of Incidence Discretization in Surrogate Models of Periodic Cells in Reflectarray Antenna Analysis ﻿

A heuristic for learning decision trees and pruning them into classification rules ﻿

Identifying market segments in beef: Breed, slaughter weight and ageing time implications ﻿

Interactive Dimensionality Reduction for Visual Analytics ﻿

On the prediction of Hodgkin lymphoma treatment response ﻿

On the use of the angle of incidence in support vector regression surrogate models for practical reflectarray design ﻿

Ordinal classification/regression for analyzing the influence of superstars on spectators in cinema marketing ﻿

Predicción de rotura de tuberías en redes de abastecimiento de agua a través de un modelo de regresión logística ﻿

Selección y evaluación de tecnologías de aprendizaje máquina automatizado para la resolución de problemas de inteligencia artificial en el ámbito industrial. ﻿

Shaped-Beam Reflectarray with a 15% Bandwidth Optimized Using Support Vector Regression ﻿

Superstars power, mining the paths to stars’ persuasion ﻿

Support vector regression-enabled optimization strategy of dual circularly-polarized shaped-beam reflectarray with improved cross-polarization performance ﻿

Systematic Study of the Influence of the Angle of Incidence Discretization in Reflectarray Analysis to Improve Support Vector Regression Surrogate Models ﻿

Using nondeterministic learners to alert on coffee rust disease ﻿

Analysis of clinical prognostic variables for Chronic Lymphocytic Leukemia decision-making problems

Analysis of Neural Networks Used by Artificial Intelligence in the Energy Transition with Renewable Energies

Analyzing superstars’ power using support vector machines

Data from "Heterogeneous tree structure classification to label Java programmers according to their expertise level"

Evaluation of the Impact of the Angle of Incidence Discretization in Surrogate Models of Periodic Cells in Reflectarray Antenna Analysis

A heuristic for learning decision trees and pruning them into classification rules

Identifying market segments in beef: Breed, slaughter weight and ageing time implications

Interactive Dimensionality Reduction for Visual Analytics

On the prediction of Hodgkin lymphoma treatment response

On the use of the angle of incidence in support vector regression surrogate models for practical reflectarray design

Ordinal classification/regression for analyzing the influence of superstars on spectators in cinema marketing

Predicción de rotura de tuberías en redes de abastecimiento de agua a través de un modelo de regresión logística

Selección y evaluación de tecnologías de aprendizaje máquina automatizado para la resolución de problemas de inteligencia artificial en el ámbito industrial.

Shaped-Beam Reflectarray with a 15% Bandwidth Optimized Using Support Vector Regression

Superstars power, mining the paths to stars’ persuasion

Support vector regression-enabled optimization strategy of dual circularly-polarized shaped-beam reflectarray with improved cross-polarization performance

Systematic Study of the Influence of the Angle of Incidence Discretization in Reflectarray Analysis to Improve Support Vector Regression Surrogate Models

Using nondeterministic learners to alert on coffee rust disease