Browsing by author "Luaces Rodríguez, Óscar"

Adapting Decision DAGs for Multipartite Ranking

Quevedo Pérez, José Ramón

; Montañés Roces, Elena

; Luaces Rodríguez, Óscar

; Coz Velasco, Juan José del

(Springer, 2010)

Un algoritmo de aprendizaje automático para evaluación de la calidad a partir de calificaciones subjetivas

Coz Velasco, Juan José del

; Luaces Rodríguez, Óscar

; Alonso González, Jaime

; Goyache, Félix; Bahamonde Rionda, Antonio

; Díez Peláez, Jorge

; Peña del Agua, Ana María

(Asociación Interprofesional para el Desarrollo Agrario, 2004)

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 nutrition data by means of a matrix factorization method

Díez Peláez, Jorge

; Gamboa, Edna; González de Cossío, Teresita; Luaces Rodríguez, Óscar

; Thorsten, Joachims; Bahamonde Rionda, Antonio

(Springer, 2015-11-01)

Aplicación de un proceso de selección de reglas a un sistema de aprendizaje ajeno al nivel de impureza

Díez Peláez, Jorge

; Ranilla Pastor, José

; Luaces Rodríguez, Óscar

(Sociedad Iberoamericana de Inteligencia Artificial, 2002)

Artificial intelligence techniques point out differences in classification performance between light and standard bovine carcasses

Díez Peláez, Jorge

; Bahamonde Rionda, Antonio

; Alonso González, Jaime

; López, S.; Coz Velasco, Juan José del

; Quevedo Pérez, José Ramón

; Ranilla Pastor, José

; Luaces Rodríguez, Óscar

; Álvarez Fernández, Isabel; Royo Martín, Luis J.; Goyache, Félix (Elsevier, 2003)

Binary relevance efficacy for multilabel classification

Luaces Rodríguez, Óscar

; Díez Peláez, Jorge

; Barranquero Tolosa, José

; Coz Velasco, Juan José del

; Bahamonde Rionda, Antonio

(Springer, 2012)

Biomedical robots. Application to transnational medicine

Andrés Galiana, Enrique Juan de

(2016-07-22)

Calificación de calificadores en la evaluación por pares de exámenes de respuesta abierta

Díez Peláez, Jorge

; Luaces Rodríguez, Óscar

; Alonso-Betanzos, Amparo; Troncoso, Alicia; Bahamonde Rionda, Antonio

(Asociación Española para la Inteligencia Artificial, 2015)

A clustering algorithm to find groups with homogeneous preferences

Díez Peláez, Jorge

; Coz Velasco, Juan José del

; Luaces Rodríguez, Óscar

; Bahamonde Rionda, Antonio

(2003)

Clustering people according to their preference criteria

Díez Peláez, Jorge

; Coz Velasco, Juan José del

; Luaces Rodríguez, Óscar

; Bahamonde Rionda, Antonio

(Elsevier, 2008)

Combining Deep Learning and Preference Learning for Object Tracking

Pang, Shuchao; Coz Velasco, Juan José del

; Zhezhou, Yu; Luaces Rodríguez, Óscar

; Díez Peláez, Jorge

(Springer, 2016)

Content-based methods in peer assessment of open-response questions to grade students as authors and as graders

Luaces Rodríguez, Óscar

; Díez Peláez, Jorge

; Alonso-Betanzos, Amparo; Troncoso, Alicia; Bahamonde Rionda, Antonio

(Elsevier, 2017-02)

Correction to: user encoding for clustering in very sparse recommender systems tasks (multimedia tools and applications, (2022), 81, 2, (2467-2488), 10.1007/s11042-021-11564-x)

Pérez Núñez, Pablo

; Díez Peláez, Jorge

; Luaces Rodríguez, Óscar

; Bahamonde Rionda, Antonio

(2022)

Deep Learning and Preference Learning for Object Tracking: A Combined Approach

Pang, Shuchao; Coz Velasco, Juan José del

; Yu, Z.; Luaces Rodríguez, Óscar

; Díez Peláez, Jorge

(2017)

Deep learning to frame objects for visual target tracking

Pang, Shuchao; Coz Velasco, Juan José del

; Yu, Z.; Luaces Rodríguez, Óscar

; Díez Peláez, Jorge

(2017)

El Deprendizax Automáticu computacional na valoración d’exemplares bovinos d’Asturiana de los Valles

Luaces Rodríguez, Óscar

; Díez Peláez, Jorge

; Alonso González, Jaime

; Coz Velasco, Juan José del

; Bahamonde Rionda, Antonio

; Goyache, Félix (Universidad de Oviedo, ALLA, 2016)

Discovering relevancies in very difficult regression problems: applications to sensory data analysis

Díez Peláez, Jorge

; Fernández Bayón, Gustavo

; Quevedo Pérez, José Ramón

; Coz Velasco, Juan José del

; Luaces Rodríguez, Óscar

; Alonso González, Jaime

; Bahamonde Rionda, Antonio

(2004)

Disease liability prediction from large scale genotyping data using classifiers with a reject option

Quevedo Pérez, José Ramón

; Bahamonde Rionda, Antonio

; Pérez Enciso, Miguel; Luaces Rodríguez, Óscar

(IEEE, 2012)

Explaining the genetic basis of complex quantitative traits through prediction models

Luaces Rodríguez, Óscar

; Quevedo Pérez, José Ramón

; Pérez Enciso, Miguel; Díez Peláez, Jorge

; Coz Velasco, Juan José del

; Bahamonde Rionda, Antonio

(Mary Ann Liebert, 2010)

Browsing by author "Luaces Rodríguez, Óscar"

Adapting Decision DAGs for Multipartite Ranking ﻿

Un algoritmo de aprendizaje automático para evaluación de la calidad a partir de calificaciones subjetivas ﻿

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

Analysis of nutrition data by means of a matrix factorization method ﻿

Aplicación de un proceso de selección de reglas a un sistema de aprendizaje ajeno al nivel de impureza ﻿

Artificial intelligence techniques point out differences in classification performance between light and standard bovine carcasses ﻿

Binary relevance efficacy for multilabel classification ﻿

Biomedical robots. Application to transnational medicine ﻿

Calificación de calificadores en la evaluación por pares de exámenes de respuesta abierta ﻿

A clustering algorithm to find groups with homogeneous preferences ﻿

Clustering people according to their preference criteria ﻿

Combining Deep Learning and Preference Learning for Object Tracking ﻿

Content-based methods in peer assessment of open-response questions to grade students as authors and as graders ﻿

Correction to: user encoding for clustering in very sparse recommender systems tasks (multimedia tools and applications, (2022), 81, 2, (2467-2488), 10.1007/s11042-021-11564-x) ﻿

Deep Learning and Preference Learning for Object Tracking: A Combined Approach ﻿

Deep learning to frame objects for visual target tracking ﻿

El Deprendizax Automáticu computacional na valoración d’exemplares bovinos d’Asturiana de los Valles ﻿

Discovering relevancies in very difficult regression problems: applications to sensory data analysis ﻿

Disease liability prediction from large scale genotyping data using classifiers with a reject option ﻿

Explaining the genetic basis of complex quantitative traits through prediction models ﻿

Adapting Decision DAGs for Multipartite Ranking

Un algoritmo de aprendizaje automático para evaluación de la calidad a partir de calificaciones subjetivas

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

Analysis of nutrition data by means of a matrix factorization method

Aplicación de un proceso de selección de reglas a un sistema de aprendizaje ajeno al nivel de impureza

Artificial intelligence techniques point out differences in classification performance between light and standard bovine carcasses

Binary relevance efficacy for multilabel classification

Biomedical robots. Application to transnational medicine

Calificación de calificadores en la evaluación por pares de exámenes de respuesta abierta

A clustering algorithm to find groups with homogeneous preferences

Clustering people according to their preference criteria

Combining Deep Learning and Preference Learning for Object Tracking

Content-based methods in peer assessment of open-response questions to grade students as authors and as graders

Correction to: user encoding for clustering in very sparse recommender systems tasks (multimedia tools and applications, (2022), 81, 2, (2467-2488), 10.1007/s11042-021-11564-x)

Deep Learning and Preference Learning for Object Tracking: A Combined Approach

Deep learning to frame objects for visual target tracking

El Deprendizax Automáticu computacional na valoración d’exemplares bovinos d’Asturiana de los Valles

Discovering relevancies in very difficult regression problems: applications to sensory data analysis

Disease liability prediction from large scale genotyping data using classifiers with a reject option

Explaining the genetic basis of complex quantitative traits through prediction models