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ORCIDJosé-Francisco Díez-Pastor
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2020 – today
- 2024
[j22]José Antonio Barbero-Aparicio
, Alicia Olivares-Gil, Juan José Rodríguez, César García-Osorio, José-Francisco Díez-Pastor:
Addressing data scarcity in protein fitness landscape analysis: A study on semi-supervised and deep transfer learning techniques. Inf. Fusion 102: 102035 (2024)- [j21]José-Francisco Díez-Pastor, Pedro Latorre-Carmona, Álvar Arnaiz-González, Antonio Canepa-Oneto, Javier Ruiz-Pérez, Débora Zurro:
Towards automatic phytolith classification using feature extraction and combination strategies. Prog. Artif. Intell. 13(3): 217-244 (2024) - [j20]José-Francisco Díez-Pastor, Pedro Latorre-Carmona, Álvar Arnaiz-González, Antonio Canepa-Oneto, Javier Ruiz-Pérez, Débora Zurro:
Correction: Towards automatic phytolith classification using feature extraction and combination strategies. Prog. Artif. Intell. 13(3): 245 (2024) - [c12]José Manuel Aroca, José-Francisco Díez-Pastor, Pedro Latorre-Carmona, Antonio Canepa-Oneto, Juan Carlos Rad, Gustau Camps-Valls, Víctor Elvira, César García-Osorio:
WALGREEN: Web Based Platform for Soil Organic Carbon Inference Applications. IGARSS 2024: 3992-3996 - [c11]Francis J. Williams, Samuel L. Hennessey, Ludmila I. Kuncheva, José-Francisco Díez-Pastor, Juan J. Rodriguez:
A Constrained Cluster Ensemble Using Hierarchical Clustering Methods. IS 2024: 1-6 - 2023
- [j19]José Antonio Barbero-Aparicio, Alicia Olivares-Gil, José-Francisco Díez-Pastor, César García-Osorio:
Deep learning and support vector machines for transcription start site identification. PeerJ Comput. Sci. 9: e1340 (2023) - 2022
- [i2]Francisco Javier Yagüe, José-Francisco Díez-Pastor, Pedro Latorre-Carmona, César Ignacio García-Osorio:
Defect detection and segmentation in X-Ray images of magnesium alloy castings using the Detectron2 framework. CoRR abs/2202.13945 (2022) - 2021
- [j18]María Consuelo Sáiz-Manzanares, Raúl Marticorena Sánchez, Juan José Rodríguez Diez, Sandra Rodríguez-Arribas, José-Francisco Díez-Pastor, Yi Peng Ji:
Improve teaching with modalities and collaborative groups in an LMS: an analysis of monitoring using visualisation techniques. J. Comput. High. Educ. 33(3): 747-778 (2021) - 2020
- [j17]Juan José Rodríguez, José-Francisco Díez-Pastor, Álvar Arnaiz-González, Ludmila I. Kuncheva:
Random Balance ensembles for multiclass imbalance learning. Knowl. Based Syst. 193: 105434 (2020)
2010 – 2019
- 2019
- [j16]Ludmila I. Kuncheva, Álvar Arnaiz-González, José-Francisco Díez-Pastor, Iain A. D. Gunn:
Instance selection improves geometric mean accuracy: a study on imbalanced data classification. Prog. Artif. Intell. 8(2): 215-228 (2019) - 2018
- [j15]Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César García-Osorio:
Local sets for multi-label instance selection. Appl. Soft Comput. 68: 651-666 (2018) - [j14]Álvar Arnaiz-González, José-Francisco Díez-Pastor, Ismael Ramos-Pérez, César García-Osorio:
Seshat - a web-based educational resource for teaching the most common algorithms of lexical analysis. Comput. Appl. Eng. Educ. 26(6): 2255-2265 (2018) - [j13]Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César García-Osorio:
Study of data transformation techniques for adapting single-label prototype selection algorithms to multi-label learning. Expert Syst. Appl. 109: 114-130 (2018) - [i1]Ludmila I. Kuncheva, Álvar Arnaiz-González, José-Francisco Díez-Pastor, Iain A. D. Gunn:
Instance Selection Improves Geometric Mean Accuracy: A Study on Imbalanced Data Classification. CoRR abs/1804.07155 (2018) - 2017
- [j12]Álvar Arnaiz-González, Alejandro González-Rogel, José-Francisco Díez-Pastor, Carlos López Nozal:
MR-DIS: democratic instance selection for big data by MapReduce. Prog. Artif. Intell. 6(3): 211-219 (2017) - 2016
- [j11]Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César Ignacio García-Osorio:
Instance selection for regression by discretization. Expert Syst. Appl. 54: 340-350 (2016) - [j10]Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César Ignacio García-Osorio:
Instance selection for regression: Adapting DROP. Neurocomputing 201: 66-81 (2016) - [j9]Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez, César Ignacio García-Osorio:
Instance selection of linear complexity for big data. Knowl. Based Syst. 107: 83-95 (2016) - [j8]Álvar Arnaiz-González, José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez Diez:
Random feature weights for regression trees. Prog. Artif. Intell. 5(2): 91-103 (2016) - 2015
- [j7]José-Francisco Díez-Pastor, Juan José Rodríguez, César Ignacio García-Osorio, Ludmila I. Kuncheva:
Diversity techniques improve the performance of the best imbalance learning ensembles. Inf. Sci. 325: 98-117 (2015) - [j6]José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César Ignacio García-Osorio, Ludmila I. Kuncheva:
Random Balance: Ensembles of variable priors classifiers for imbalanced data. Knowl. Based Syst. 85: 96-111 (2015) - [c10]Juan José Rodríguez Diez, José-Francisco Díez-Pastor, Álvar Arnaiz-González, César Ignacio García-Osorio:
An Experimental Study on Combining Binarization Techniques and Ensemble Methods of Decision Trees. MCS 2015: 181-193 - 2014
- [j5]José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez Diez:
Tree ensemble construction using a GRASP-based heuristic and annealed randomness. Inf. Fusion 20: 189-202 (2014) - 2013
- [j4]Carlos Pardo, José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez Diez:
Rotation Forests for regression. Appl. Math. Comput. 219(19): 9914-9924 (2013) - [j3]Carlos López Nozal, José-Francisco Díez-Pastor, Jesús Manuel Maudes Raedo, Raúl Marticorena Sánchez:
An Innovative Moodle Final Project Management Module for Bachelor and Master's Studies. Rev. Iberoam. de Tecnol. del Aprendiz. 8(3): 103-110 (2013) - [c9]José-Francisco Díez-Pastor, César Ignacio García-Osorio, Víctor Barbero-García, Alan Blanco-Álamo:
Imbalanced Learning Ensembles for Defect Detection in X-Ray Images. IEA/AIE 2013: 654-663 - [c8]Juan José Rodríguez Diez, José-Francisco Díez-Pastor, César Ignacio García-Osorio:
Random Oracle Ensembles for Imbalanced Data. MCS 2013: 247-258 - 2012
- [j2]Carlos López Nozal, José-Francisco Díez-Pastor, Jesús Manuel Maudes Raedo, Raúl Marticorena Sánchez:
Módulo Moodle para Gestionar Trabajos Final de Grado o Máster. Rev. Iberoam. de Tecnol. del Aprendiz. 7(3): 155-162 (2012) - [j1]José-Francisco Díez-Pastor, Andrés Bustillo, Guillem Quintana, César Ignacio García-Osorio:
Boosting Projections to improve surface roughness prediction in high-torque milling operations. Soft Comput. 16(8): 1427-1437 (2012) - [c7]Juan José Rodríguez Diez, José-Francisco Díez-Pastor, Jesús Maudes, César Ignacio García-Osorio:
Disturbing Neighbors Ensembles of Trees for Imbalanced Data. ICMLA (2) 2012: 83-88 - [c6]Carlos Pardo-Aguilar, José-Francisco Díez-Pastor, Nicolás García-Pedrajas, Juan José Rodríguez Diez, César Ignacio García-Osorio:
Linear Projection Methods - An Experimental Study for Regression Problems. ICPRAM (1) 2012: 198-204 - 2011
- [c5]Juan J. Rodríguez Diez, José-Francisco Díez-Pastor, César Ignacio García-Osorio, Pedro Santos:
Using Model Trees and Their Ensembles for Imbalanced Data. CAEPIA 2011: 94-103 - [c4]José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez, Andrés Bustillo:
GRASP Forest: A New Ensemble Method for Trees. MCS 2011: 66-75 - [c3]Juan José Rodríguez, José-Francisco Díez-Pastor, César Ignacio García-Osorio:
Ensembles of Decision Trees for Imbalanced Data. MCS 2011: 76-85 - [p1]Carlos Pardo, Juan J. Rodríguez Diez, José-Francisco Díez-Pastor, César Ignacio García-Osorio:
Random Oracles for Regression Ensembles. Ensembles in Machine Learning Applications 2011: 181-199 - 2010
- [c2]Juan José Rodríguez, César Ignacio García-Osorio, Jesús Maudes, José-Francisco Díez-Pastor:
An Experimental Study on Ensembles of Functional Trees. MCS 2010: 64-73
2000 – 2009
- 2008
- [c1]César Ignacio García-Osorio, José-Francisco Díez-Pastor, Juan José Rodríguez, Jesús Maudes:
License Plate Number Recognition - New Heuristics and a Comparative Study of Classifiers. ICINCO-RA (1) 2008: 268-273
Coauthor Index
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