Listar por autor "Montañés Roces, Elena"

Adapting Decision DAGs for Multipartite Ranking

Quevedo Pérez, José Ramón

; Montañés Roces, Elena

; Luaces Rodríguez, Óscar

; Coz Velasco, Juan José del

(Springer, 2010)

Aggregating independent and dependent models to learn multi-label classifiers

Montañés Roces, Elena

; Quevedo Pérez, José Ramón

; Coz Velasco, Juan José del

(Springer, 2011)

Ajuste de ponderaciones de una rúbrica a partir de juicios de preferencias del docente

Montañés Roces, Elena

; Álvarez Castro, Camino

; Quevedo Pérez, José Ramón

(Dykinson : Universidad Rey Juan Carlos, 2009)

Analysis of the thermal performance of a church window steam condenser for different operational conditions using three models

Prieto González, María Manuela

; Suárez Ramón, Inés María

; Montañés Roces, Elena

(Elsevier, 2003)

Capturing waste collection planning expert knowledge in a fitness function through preference learning

Fernández Díaz, Laura; Fernández Díaz, Miriam; Quevedo Pérez, José Ramón

; Montañés Roces, Elena

(2021)

Code and Data of the article Improving importance estimation in covariate shift for providing accurate prediction error

Fernández Díaz, Laura; González Tomillo, Sara; Montañés Roces, Elena

; Quevedo Pérez, José Ramón

(2022-06-01)

Code and Data of the article Target inductive methods for zero-shot regression

Fernández Díaz, Miriam; Quevedo Pérez, José Ramón

; Montañés Roces, Elena

(2022-06-01)

Collaborative tag recommendation system based on logistic regression

Montañés Roces, Elena

; Quevedo Pérez, José Ramón

; Díaz Rodríguez, Susana Irene

; Ranilla Pastor, José

(2009)

Dependent binary relevance models for multi-label classification

Montañés Roces, Elena

; Senge, Robin; Barranquero Tolosa, José

; Quevedo Pérez, José Ramón

; Coz Díaz, Juan José del

; Hüllermeier, Eyke (2013)

Direct side information learning for zero-shot regression

Fernández Díaz, Miriam; Montañés Roces, Elena

; Quevedo Pérez, José Ramón

(Elsevier, 2023)

Enhancing directed binary trees for multi-class classification

Montañés Roces, Elena

; Barranquero Tolosa, José

; Díez Peláez, Jorge

; Coz Velasco, Juan José del

(Elsevier, 2013)

Extraction of document descriptive terms with a linguistic-based machine learning approach

Fernández, Javier; Montañés Roces, Elena

; Díaz Rodríguez, Susana Irene

; Ranilla Pastor, José

; Fernández-Combarro Álvarez, Elías

(Springer, 2004)

A family of admissible heuristics for A* to perform inference in probabilistic classifier chains

Mena Waldo, Deiner

; Montañés Roces, Elena

; Quevedo Pérez, José Ramón

; Coz Velasco, Juan José del

(Springer, 2017)

Feature selection for classification of animal feed ingredients from near infrared microscopy spectra

Sánchez del Rivero, José Antonio

; Montañés Roces, Elena

; Roza Delgado, María Begoña de la; Soldado Cabezuelo, Ana Belén

; Luaces Rodríguez, Óscar

; Quevedo Pérez, José Ramón

; Bahamonde Rionda, Antonio

(Elsevier, 2013)

A framework for diagnosis of urinary incontinence disease based on scoring measures and automatic classifiers

Díaz Rodríguez, Susana Irene

; Montañés Roces, Elena

; Ranilla Pastor, José

; Espuña Pons, Montserrat (2011)

A greedy algorithm for dimensionality reduction in polynomial regression to forecast the performance of a power plant condenser

Montañés Roces, Elena

; Quevedo Pérez, José Ramón

; Prieto González, María Manuela

(2011)

A heuristic in A* for inference in nonlinear Probabilistic Classifier Chains

Mena Waldo, Deiner

; Quevedo Pérez, José Ramón

; Montañés Roces, Elena

; Coz Velasco, Juan José del

(Elsevier, 2017)

Heurístico exhaustivo de profundidad limitada para CC probabilístico

Mena Waldo, Deiner

; Montañés Roces, Elena

; Quevedo Pérez, José Ramón

; Coz Velasco, Juan José del

(Asociación Española para la Inteligencia Artificial, 2015)

A hybrid feature selection method for text categorization

Montañés Roces, Elena

; Quevedo Pérez, José Ramón

; Fernández-Combarro Álvarez, Elías

; Díaz Rodríguez, Susana Irene

; Ranilla Pastor, José

(World Scientific Publishing, 2007)

Impact of multi-output and stacking methods on feed efficiency prediction from genotype using machine learning algorithms

Mora, Mónica; González González, Pablo

; Quevedo Pérez, José Ramón

; Montañés Roces, Elena

; Tusell, L.; Bergsma, R.; Piles, M. (2023)

Listar por autor "Montañés Roces, Elena"

Adapting Decision DAGs for Multipartite Ranking ﻿

Aggregating independent and dependent models to learn multi-label classifiers ﻿

Ajuste de ponderaciones de una rúbrica a partir de juicios de preferencias del docente ﻿

Analysis of the thermal performance of a church window steam condenser for different operational conditions using three models ﻿

Capturing waste collection planning expert knowledge in a fitness function through preference learning ﻿

Code and Data of the article Improving importance estimation in covariate shift for providing accurate prediction error ﻿

Code and Data of the article Target inductive methods for zero-shot regression ﻿

Collaborative tag recommendation system based on logistic regression ﻿

Dependent binary relevance models for multi-label classification ﻿

Direct side information learning for zero-shot regression ﻿

Enhancing directed binary trees for multi-class classification ﻿

Extraction of document descriptive terms with a linguistic-based machine learning approach ﻿

A family of admissible heuristics for A* to perform inference in probabilistic classifier chains ﻿

Feature selection for classification of animal feed ingredients from near infrared microscopy spectra ﻿

A framework for diagnosis of urinary incontinence disease based on scoring measures and automatic classifiers ﻿

A greedy algorithm for dimensionality reduction in polynomial regression to forecast the performance of a power plant condenser ﻿

A heuristic in A* for inference in nonlinear Probabilistic Classifier Chains ﻿

Heurístico exhaustivo de profundidad limitada para CC probabilístico ﻿

A hybrid feature selection method for text categorization ﻿

Impact of multi-output and stacking methods on feed efficiency prediction from genotype using machine learning algorithms ﻿

Adapting Decision DAGs for Multipartite Ranking

Aggregating independent and dependent models to learn multi-label classifiers

Ajuste de ponderaciones de una rúbrica a partir de juicios de preferencias del docente

Analysis of the thermal performance of a church window steam condenser for different operational conditions using three models

Capturing waste collection planning expert knowledge in a fitness function through preference learning

Code and Data of the article Improving importance estimation in covariate shift for providing accurate prediction error

Code and Data of the article Target inductive methods for zero-shot regression

Collaborative tag recommendation system based on logistic regression

Dependent binary relevance models for multi-label classification

Direct side information learning for zero-shot regression

Enhancing directed binary trees for multi-class classification

Extraction of document descriptive terms with a linguistic-based machine learning approach

A family of admissible heuristics for A* to perform inference in probabilistic classifier chains

Feature selection for classification of animal feed ingredients from near infrared microscopy spectra

A framework for diagnosis of urinary incontinence disease based on scoring measures and automatic classifiers

A greedy algorithm for dimensionality reduction in polynomial regression to forecast the performance of a power plant condenser

A heuristic in A* for inference in nonlinear Probabilistic Classifier Chains

Heurístico exhaustivo de profundidad limitada para CC probabilístico

A hybrid feature selection method for text categorization

Impact of multi-output and stacking methods on feed efficiency prediction from genotype using machine learning algorithms