José-Francisco Díez-Pastor

According to our database1, José-Francisco Díez-Pastor authored at least 28 papers between 2008 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Random Balance ensembles for multiclass imbalance learning.
Knowl. Based Syst., 2020

2019
Instance selection improves geometric mean accuracy: a study on imbalanced data classification.
Prog. Artif. Intell., 2019

2018
Study of data transformation techniques for adapting single-label prototype selection algorithms to multi-label learning.
Expert Syst. Appl., 2018

Seshat - a web-based educational resource for teaching the most common algorithms of lexical analysis.
Comp. Applic. in Engineering Education, 2018

Local sets for multi-label instance selection.
Appl. Soft Comput., 2018

2017
MR-DIS: democratic instance selection for big data by MapReduce.
Prog. Artif. Intell., 2017

2016
Random feature weights for regression trees.
Prog. Artif. Intell., 2016

Instance selection of linear complexity for big data.
Knowl. Based Syst., 2016

Instance selection for regression: Adapting DROP.
Neurocomputing, 2016

Instance selection for regression by discretization.
Expert Syst. Appl., 2016

2015
Random Balance: Ensembles of variable priors classifiers for imbalanced data.
Knowl. Based Syst., 2015

Diversity techniques improve the performance of the best imbalance learning ensembles.
Inf. Sci., 2015

An Experimental Study on Combining Binarization Techniques and Ensemble Methods of Decision Trees.
Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015

2014
Tree ensemble construction using a GRASP-based heuristic and annealed randomness.
Inf. Fusion, 2014

2013
An Innovative Moodle Final Project Management Module for Bachelor and Master's Studies.
Rev. Iberoam. de Tecnol. del Aprendiz., 2013

Rotation Forests for regression.
Appl. Math. Comput., 2013

Random Oracle Ensembles for Imbalanced Data.
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

Imbalanced Learning Ensembles for Defect Detection in X-Ray Images.
Proceedings of the Recent Trends in Applied Artificial Intelligence, 2013

2012
Boosting Projections to improve surface roughness prediction in high-torque milling operations.
Soft Comput., 2012

Módulo Moodle para Gestionar Trabajos Final de Grado o Máster.
Rev. Iberoam. de Tecnol. del Aprendiz., 2012

Linear Projection Methods - An Experimental Study for Regression Problems.
Proceedings of the ICPRAM 2012, 2012

Disturbing Neighbors Ensembles of Trees for Imbalanced Data.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011
Random Oracles for Regression Ensembles.
Proceedings of the Ensembles in Machine Learning Applications, 2011

Ensembles of Decision Trees for Imbalanced Data.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

GRASP Forest: A New Ensemble Method for Trees.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

Using Model Trees and Their Ensembles for Imbalanced Data.
Proceedings of the Advances in Artificial Intelligence, 2011

2010
An Experimental Study on Ensembles of Functional Trees.
Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010

2008
License Plate Number Recognition - New Heuristics and a Comparative Study of Classifiers.
Proceedings of the ICINCO 2008, 2008


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