Jose Francisco Diez Pastor
Jose Francisco Diez Pastor
University of Burgos
No verified email
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Cited by
Cited by
Year
Random balance: ensembles of variable priors classifiers for imbalanced data
JF Díez-Pastor, JJ Rodríguez, C Garcia-Osorio, LI Kuncheva
Knowledge-Based Systems 85, 96-111, 2015
1652015
Diversity techniques improve the performance of the best imbalance learning ensembles
JF Díez-Pastor, JJ Rodríguez, CI García-Osorio, LI Kuncheva
Information Sciences 325, 98-117, 2015
1332015
Instance selection of linear complexity for big data
Á Arnaiz-González, JF Díez-Pastor, JJ Rodríguez, C García-Osorio
Knowledge-Based Systems 107, 83-95, 2016
532016
Avoiding neural network fine tuning by using ensemble learning: application to ball-end milling operations
A Bustillo, JF Díez-Pastor, G Quintana, C García-Osorio
The International Journal of Advanced Manufacturing Technology 57 (5), 521-532, 2011
432011
How do B-learning and learning patterns influence learning outcomes?
MC Sáiz Manzanares, R Marticorena Sánchez, CI García Osorio, ...
Frontiers in Psychology 8, 745, 2017
402017
Instance selection improves geometric mean accuracy: a study on imbalanced data classification
LI Kuncheva, Á Arnaiz-González, JF Díez-Pastor, IAD Gunn
Progress in Artificial Intelligence 8 (2), 215-228, 2019
362019
MR-DIS: democratic instance selection for big data by MapReduce
Á Arnaiz-González, A González-Rogel, JF Díez-Pastor, C López-Nozal
Progress in Artificial Intelligence 6 (3), 211-219, 2017
252017
Rotation Forests for regression
C Pardo, JF Diez-Pastor, C García-Osorio, JJ Rodríguez
Applied Mathematics and Computation 219 (19), 9914-9924, 2013
242013
License plate number recognition new heuristics and a comparative study of classifiers
C Garcia-Osorio, JF Diez-Pastor, JJ Rodríguez, J Maudes
242008
Does the use of learning management systems with hypermedia mean improved student learning outcomes?
MC Sáiz-Manzanares, R Marticorena-Sánchez, JF Díez-Pastor, ...
Frontiers in psychology 10, 88, 2019
202019
Instance selection for regression: Adapting DROP
Á Arnaiz-González, JF Díez-Pastor, JJ Rodríguez, C García-Osorio
Neurocomputing 201, 66-81, 2016
192016
Instance selection for regression by discretization
Á Arnaiz-González, JF Díez-Pastor, JJ Rodríguez, CI García-Osorio
Expert Systems with Applications 54, 340-350, 2016
192016
Local sets for multi-label instance selection
Á Arnaiz-González, JF Diez-Pastor, JJ Rodriguez, C Garcia-Osorio
Applied Soft Computing 68, 651-666, 2018
142018
Will personalized e-Learning increase deep learning in higher education?
MC Sáiz-Manzanares, CIG Osorio, JF Díez-Pastor, LJM Antón
Information Discovery and Delivery, 2019
122019
Machine learning algorithms applied to R aman spectra for the identification of variscite originating from the mining complex of G avà
JF Díez‐Pastor, SE Jorge‐Villar, Á Arnaiz‐González, CI García‐Osorio, ...
Journal of Raman Spectroscopy 51 (9), 1563-1574, 2020
112020
Differential efficacy of the resources used in B-learning environments
MC Saiz Manzanares, CI García Osorio, JF Díez Pastor
Psicothema, 2019
102019
Seshat—a web‐based educational resource for teaching the most common algorithms of lexical analysis
Á Arnaiz‐González, JF Díez‐Pastor, I Ramos‐Pérez, C García‐Osorio
Computer Applications in Engineering Education 26 (6), 2255-2265, 2018
102018
Tree ensemble construction using a GRASP-based heuristic and annealed randomness
JF Díez-Pastor, C Garcia-Osorio, JJ Rodríguez
Information Fusion 20, 189-202, 2014
92014
Boosting projections to improve surface roughness prediction in high-torque milling operations
JF Díez-Pastor, A Bustillo, G Quintana, C García-Osorio
Soft Computing 16 (8), 1427-1437, 2012
92012
Random oracles for regression ensembles
C Pardo, JJ Rodríguez, JF Díez-Pastor, C García-Osorio
Ensembles in Machine Learning Applications, 181-199, 2011
92011
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Articles 1–20