Publications

2019

Faithfull, William J; Rodríguez, Juan José; Kuncheva, Ludmila I

Combining univariate approaches for ensemble change detection in multivariate data Journal Article

In: Information Fusion, 45 , pp. 202-214, 2019, ISSN: 1566-2535.

Abstract | Links | BibTeX | Tags: Change detection, Ensemble methods, Multivariate data

2018

Arnaiz-González, Álvar; Díez-Pastor, José Francisco; Rodríguez, Juan José; García-Osorio, César

Study of data transformation techniques for adapting single-label prototype selection algorithms to multi-label learning Journal Article

In: Expert Systems with Applications, 109 , pp. 114-130, 2018, ISSN: 0957-4174.

Abstract | Links | BibTeX | Tags: Binary relevance, Label powerset, Multi-label classification, Prototype selection, RAkEL

Oleaga, Ibone; Pardo, Carlos; Zulaika, Juan J; Bustillo, Andres

A machine-learning based solution for chatter prediction in heavy-duty milling machines Journal Article

In: Measurement, 128 , pp. 34 - 44, 2018, ISSN: 0263-2241.

Abstract | Links | BibTeX | Tags: Chatter, Milling, Polar diagrams, Random forest, Regression trees, Vibrations

Bustillo, A; Pimenov, D.Yu.; Matuszewski, M; Mikolajczyk, T

Using artificial intelligence models for the prediction of surface wear based on surface isotropy levels Journal Article

In: Robotics and Computer-Integrated Manufacturing, 53 , pp. 215 - 227, 2018, ISSN: 0736-5845.

Abstract | Links | BibTeX | Tags: Ensembles, Isotropy level geometric structure of the surface, Roughness, Small size dataset, Wear

Kuncheva, Ludmila I; Rodríguez, Juan José

On feature selection protocols for very low-sample-size data Journal Article

In: Pattern Recognition, 81 , pp. 660-673, 2018, ISSN: 0031-3203.

Abstract | Links | BibTeX | Tags: Cross-validation, Experimental protocol, Feature selection, Training/testing, Wide datasets

Arnaiz-González, Álvar; Díez-Pastor, José Francisco; Rodríguez, Juan José; García-Osorio, César

Local sets for multi-label instance selection Journal Article

In: Applied Soft Computing, 68 , pp. 651-666, 2018, ISSN: 1568-4946.

Abstract | Links | BibTeX | Tags: Data reduction, Instance selection, Local set, Multi-label classification, Nearest neighbor

Pimenov, Yu. D; Bustillo, A; Mikolajczyk, T

Artificial intelligence for automatic prediction of required surface roughness by monitoring wear on face mill teeth Journal Article

In: Journal of Intelligent Manufacturing, 29 (5), pp. 1045–1061, 2018, ISSN: 1572-8145.

Abstract | Links | BibTeX | Tags: Cutting power, Face milling Wear, Processing time, Random forest, surface roughness

Mikołajczyk, T; Nowicki, K; Bustillo, A; Pimenov, Yu D

Predicting tool life in turning operations using neural networks and image processing Journal Article

In: Mechanical Systems and Signal Processing, 104 , pp. 503 - 513, 2018, ISSN: 0888-3270.

Abstract | Links | BibTeX | Tags: Image analysis, Neural networks, Tool life prediction, Tool wear

Kuncheva, Ludmila I; Arnaiz-González, Álvar; Díez-Pastor, José Francisco; Gunn, Iain A D

Instance Selection Improves Geometric Mean Accuracy: A Study on Imbalanced Data Classification Journal Article

In: arXiv, 2018.

Abstract | Links | BibTeX | Tags: Ensemble methods, geometric mean (GM), Imbalanced data, instance/prototype selection, nearest neighbour

Gunn, Iain A D; Arnaiz-González, Álvar; Kuncheva, Ludmila I

A taxonomic look at instance-based stream classifiers Journal Article

In: Neurocomputing, 286 , pp. 167-178, 2018, ISSN: 0925-2312.

Abstract | Links | BibTeX | Tags: Concept drift, Instance selection, Machine learning, Prototype generation, Stream classification

Grzenda, Maciej; Bustillo, Andres

Semi-supervised roughness prediction with partly unlabeled vibration data streams Journal Article

In: Journal of Intelligent Manufacturing, pp. 1-13, 2018, ISSN: 1572-8145.

Abstract | Links | BibTeX | Tags: Face milling, Roughness prediction, Semi-supervised techniques, Unlabeled data

Santos, Pedro; Maudes-Raedo, Jesús; Bustillo, Andrés

Identifying maximum imbalance in datasets for fault diagnosis of gearboxes Journal Article

In: Journal of Intelligent Manufacturing, 29 (2), pp. 333-351, 2018, ISSN: 0956-5515.

Abstract | Links | BibTeX | Tags: Fault diagnosis, Metrics Gearbox, Multi-class imbalance, Wind turbines Ensembles

Güemes-Peña, Diego; López-Nozal, Carlos; Marticorena-Sánchez, Raúl; Maudes-Raedo, Jesús

Emerging topics in mining software repositories Journal Article

In: Progress in Artificial Intelligence, pp. 1-11, 2018, ISSN: 2192-6360.

Abstract | Links | BibTeX | Tags: Data Mining, Machine learning, Software engineering, Software process, Software repository

Mikolajczyk, Tadeusz; Fuwen, Hu; Moldovan, Liviu; Bustillo, Andres; Matuszewski, Maciej; Nowicki, Krzysztof

Selection of machining parameters with Android application made using MIT App Inventor bookmarks Journal Article

In: Procedia Manufacturing, 22 , pp. 172 - 179, 2018, ISSN: 2351-9789, (11th International Conference Interdisciplinarity in Engineering, INTER-ENG 2017, 5-6 October 2017, Tirgu Mures, Romania).

Abstract | Links | BibTeX | Tags: Android, machining parameters, MIT inventor, mobile application

2017

Maudes, Jesus; Bustillo, Andrés; Guerra, Antonio J; Ciurana, Joaquim

Random Forest ensemble prediction of stent dimensions in microfabrication processes Journal Article

In: The International Journal of Advanced Manufacturing Technology, 91 (1), pp. 879–893, 2017, ISSN: 1433-3015.

Abstract | Links | BibTeX | Tags: Data Mining, Ensembles of regressors, Random forest, Regression trees, Stents Laser machining

Kuncheva, Ludmila I; Rodríguez, Juan José; Jackson, Aaron S

Restricted set classification: Who is there? Journal Article

In: Pattern Recognition, 63 , pp. 158-170, 2017, ISSN: 0031-3203.

Abstract | Links | BibTeX | Tags: Chess pieces classification, Compound decision problem, Object classification, Pattern recognition, Restricted set classification

Sáiz-Manzanares, María Consuelo; Marticorena-Sánchez, Raúl; García-Osorio, César; Díez-Pastor, José Francisco

How Do B-Learning and Learning Patterns Influence Learning Outcomes? Journal Article

In: Frontiers in Psychology, 8 , pp. 745, 2017, ISSN: 1664-1078.

Abstract | Links | BibTeX | Tags: B-Learning, Computer Science teaching, eLearning

Rodríguez, Juan José; Quintana, Guillem; Bustillo, Andrés; Ciurana, Joaquim

A decision-making tool based on decision trees for roughness prediction in face milling Journal Article

In: International Journal of Computer Integrated Manufacturing, 30 (9), 2017, ISSN: 0951-192X.

Abstract | Links | BibTeX | Tags: AI in manufacturing systems, cost management, decision support systems, Decision trees, process control, surface roughness, tool condition monitoring

2016

Palasciano, Claudio; Bustillo, Andres; Fantini, Paola; Taisch, Marco

A new approach for machine's management: from machine's signal acquisition to energy indexes Journal Article

In: Journal of Cleaner Production, 137 , pp. 1503 - 1515, 2016, ISSN: 0959-6526.

Abstract | Links | BibTeX | Tags: Energy and resource efficient manufacturing, Energy efficiency KPIs, Energy efficient manufacturing modeling, Energy-aware machine control

Bustillo, Andres; de Lacalle, Luis López N; Fernández-Valdivielso, Asier; Santos, Pedro

Data-mining modeling for the prediction of wear on forming-taps in the threading of steel components Journal Article

In: Journal of Computational Design and Engineering, 3 (4), pp. 337 - 348, 2016, ISSN: 2288-4300.

Abstract | Links | BibTeX | Tags: Ensembles, Forming taps, Regression trees, Roll taps, Roll-tap wear, Rotation forest, Threading

Arnaiz-González, Álvar; Blachnik, Marcin; Kordos, Mirosław; García-Osorio, César

Fusion of instance selection methods in regression tasks Journal Article

In: Information Fusion, 30 , pp. 69 - 79, 2016, ISSN: 1566-2535.

Abstract | Links | BibTeX | Tags: Data Mining, Ensemble methods, Instance selection, Regression

Arnaiz-González, Álvar; Díez-Pastor, José Francisco; Rodríguez, Juan José; García-Osorio, César

Instance selection for regression by discretization Journal Article

In: Expert Systems With Applications, 2016, ISSN: 0957-4174.

Links | BibTeX | Tags: Data Mining, Instance selection, Regression

Arnaiz-González, Álvar; Díez-Pastor, José Francisco; Rodríguez, Juan José; García-Osorio, César

Instance selection for regression: Adapting DROP Journal Article

In: Neurocomputing, 201 , pp. 66–81, 2016, ISSN: 0925-2312.

Abstract | Links | BibTeX | Tags: Data Mining, DROP, Instance selection, Noise filtering, Regression

Arnaiz-González, Álvar; Díez-Pastor, José Francisco; Rodríguez, Juan José; García-Osorio, César

Instance selection of linear complexity for big data Journal Article

In: Knowledge-Based Systems, 107 , pp. 83–95, 2016, ISSN: 0950-7051.

Abstract | Links | BibTeX | Tags: Big data, Data Mining, Data reduction, Hashing, Instance selection, Nearest neighbors

Arnaiz-González, Álvar; Díez-Pastor, José Francisco; García-Osorio, César; Rodríguez, Juan José

Random feature weights for regression trees Journal Article

In: Progress in Artificial Intelligence, 5 (2), pp. 91–103, 2016, ISSN: 2192-6360.

Abstract | Links | BibTeX | Tags: Data Mining, Ensemble methods, Regression

2015

Santos, Pedro; Villa, Luisa F; Reñones, Anibal; Bustillo, Andrés; Maudes-Raedo, Jesús

An SVM-Based Solution for Fault Detection in Wind Turbines Journal Article

In: Sensors, 15 (3), pp. 5627-5648, 2015, ISSN: 1424-8220.

Abstract | Links | BibTeX | Tags: Fault diagnosis, Neural networks, Support vector machines, wind turbines

Díez-Pastor, José Francisco; Rodríguez, Juan José; García-Osorio, César; Kuncheva, Ludmila I

Random Balance: Ensembles of variable priors classifiers for imbalanced data Journal Article

In: Knowledge-Based Systems, 85 , pp. 96-111, 2015, ISSN: 0950-7051.

Abstract | Links | BibTeX | Tags: AdaBoost, Bagging, Class-imbalanced problems, Classifier ensembles, Data Mining, Ensemble methods, SMOTE, Undersampling

Díez-Pastor, José Francisco; Rodríguez, Juan José; García-Osorio, César; Kuncheva, Ludmila I

Diversity techniques improve the performance of the best imbalance learning ensembles Journal Article

In: Information Sciences, 325 , pp. 98 - 117, 2015, ISSN: 0020-0255.

Abstract | Links | BibTeX | Tags: Class-imbalanced problems, Classifier ensembles, Data Mining, Diversity, Ensemble methods, Rotation forest, SMOTE, Undersampling

López, Carlos; Marticorena-Sánchez, Raúl; Díez-Pastor, José Francisco; García-Osorio, César

Acquisition of Transferable Skills Associated with Software Maintenance and Development Using Tools for Versioning and Task Management Journal Article

In: International Journal of Engineering Education, 31 (3), pp. 839–850, 2015, ISSN: 0949-149X.

Abstract | BibTeX | Tags: Computer Science teaching, Organizational skills, Software configuration, Software engineering education, Transferable skills

2014

Santos, Pedro; Teixidor, Daniel; Maudes-Raedo, Jesús; Ciurana, Joaquim

Modelling Laser Milling of Microcavities for the Manufacturing of DES with Ensembles Journal Article

In: Journal of Applied Mathematics, 2014 , pp. 15, 2014, ISBN: 1110-757X.

Abstract | Links | BibTeX | Tags: Ensemble methods, Laser milling, Neural networks, Support vector machines

Díez-Pastor, José Francisco; García-Osorio, César; Rodríguez, Juan José

Tree ensemble construction using a GRASP-based heuristic and annealed randomness Journal Article

In: Information Fusion, 20 (0), pp. 189–202, 2014, ISSN: 1566-2535.

Abstract | Links | BibTeX | Tags: Boosting, Classifier ensembles, Data Mining, Decision trees, Ensemble methods, GRASP metahuristic, Random forest

Díez-Pastor, José Francisco; Arnaiz-González, Alvar; García-Osorio, César; Rodríguez, Juan José

Segmentación de defectos en piezas de fundido usando umbrales adaptativos y ensembles Inproceedings

In: XVII congreso español sobre tecnologías y lógica fuzzy, ESTYLF 2014, pp. 345-350, Zaragoza, Spain, 2014, ISBN: 978-84-15688-76-1.

BibTeX | Tags: Applied Machine Learning, Business intelligence, Data Mining

Arnaiz-González, Alvar; Díez-Pastor, José Francisco; García-Osorio, César; Rodríguez, Juan José

Selección de instancias en regresión mediante discretización Inproceedings

In: XVII congreso español sobre tecnologías y lógica fuzzy, ESTYLF 2014, pp. 351-356, Zaragoza, Spain, 2014, ISBN: 978-84-15688-76-1.

BibTeX | Tags: Data Mining, Instance selection

2013

López-Nozal, Carlos; Díez-Pastor, José Francisco; Maudes-Raedo, Jesús; Marticorena-Sánchez, Raúl

An Innovative Moodle Final Project Management Module for Bachelor and Master's Studies Journal Article

In: IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, 8 (3), pp. 103-110, 2013, ISSN: 1932-8540.

Abstract | Links | BibTeX | Tags: Bachelor and master's project management, e-learning, management models, Moodle

García-Pedrajas, Nicolás; García-Osorio, César

Boosting for class-imbalanced datasets using genetically evolved supervised non-linear projections Journal Article

In: Progress in Artificial Intelligence, 2 (1), pp. 29-44, 2013, ISSN: 2192-6352.

Links | BibTeX | Tags: Boosting, Class-imbalanced problems, Data Mining, Real-coded genetic algorithms

Pardo, Carlos; Díez-Pastor, José Francisco; García-Osorio, César; Rodríguez, Juan José

Rotation Forests for regression Journal Article

In: Applied Mathematics and Computation, 219 (19), pp. 9914-9924, 2013, ISSN: 0096-3003.

Links | BibTeX | Tags: Data Mining, Regression, Rotation forest

Díez-Pastor, José Francisco; García-Osorio, César; Barbero-García, Víctor; Blanco-Álamo, Alan

Imbalanced Learning Ensembles for Defect Detection in X-Ray Images Inproceedings

In: Ali, Moonis; Bosse, Tibor; Hindriks, Koen V; Hoogendoorn, Mark; Jonker, Catholijn M; Treur, Jan (Ed.): 26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2013, pp. 654-663, Amsterdam, The Netherland, 2013, ISBN: 978-3-642-38576-6.

Links | BibTeX | Tags: Applied Machine Learning, Business intelligence, Class-imbalanced problems, Data Mining

Rodríguez, Juan José; Díez-Pastor, José Francisco; García-Osorio, César

Random Oracle Ensembles for Imbalanced Data Inproceedings

In: Zhou, Zhi-Hua; Roli, Fabio; Kittler, Josef (Ed.): 11th International Workshop on Multiple Classifier Systems, MCS 2013, pp. 247-258, Nanjing, China, 2013, ISBN: 978-3-642-38066-2.

Links | BibTeX | Tags: Class-imbalanced problems, Data Mining, Ensemble methods, Random oracles

2012

García-Pedrajas, Nicolás; Maudes-Raedo, Jesús; García-Osorio, César; Rodríguez, Juan José

Supervised subspace projections for constructing ensembles of classifiers Journal Article

In: Information Sciences, 193 , pp. 1–21, 2012, ISSN: 0020-0255, (Accepted).

Links | BibTeX | Tags: Classification, Ensemble methods, Subspace methods, Supervised projections

Maudes, Jesús; Rodríguez, Juan José; García-Osorio, César; García-Pedrajas, Nicolás

Random Feature Weights for Decision Tree Ensemble Construction Journal Article

In: Information Fusion, 13 (1), pp. 20-30, 2012, ISSN: 1566-2535.

Links | BibTeX | Tags: Bagging, Boosting, Classifier ensembles, Data Mining, Decision trees, Ensemble methods, Random forest

Pardo, Carlos; Díez-Pastor, José Francisco; García-Pedrajas, Nicolás; Rodríguez, Juan José; García-Osorio, César

Linear projections --- An Experimental Study for Regression Problems Inproceedings

In: Carmona, Pedro Latorre; Sánchez, Salvador J; Fred, Ana (Ed.): 1st International Conference on Patter Recognition Applications and Methods (ICPRAM), pp. 198–204, SciTePress --- Science and Technology Publications, Villamoura, Portugal, 2012, ISBN: 978-989-8425-98-0.

BibTeX | Tags: Data Mining, Linear projections, Regression

Díez-Pastor, José Francisco; Bustillo, Andrés; Quintana, Guillem; García-Osorio, César

Boosting Projections to improve surface roughness prediction in high-torque milling operations Journal Article

In: Soft Computing, 16 (8), pp. 1427-1437, 2012, ISSN: 1432-7643 (Print) 1433-7479 (Online).

Links | BibTeX | Tags: Applied Machine Learning, Business intelligence, Data Mining, Ensemble methods

Rodríguez, Juan José; Díez-Pastor, José Francisco; Maudes, Jesús; García-Osorio, César

Disturbing Neighbors Ensembles of Trees for Imbalanced Data Inproceedings

In: Wani, Arif M; Khoshgoftaar, Taghi; Zhu, Xingquan (Hill); Seliya, Naeem (Ed.): 11th International Conference on Machine Learning and Applications, ICMLA 2012, pp. 83-88, IEEE, Boca Ratón, EEUU, 2012, ISBN: 978-0-7695-4913-2.

Links | BibTeX | Tags: Class-imbalanced problems, Data Mining, Decision trees, Disturbing neighbors, Ensemble methods

Bermejo-Teson, Daniel; Díez-Pastor, José Francisco; Arnaiz-González, Álvar; García-Osorio, César

Spectralizer: a tool for visualization of spectral clustering algorithms Inproceedings

In: Proceedings of the 4th international conference on education and new learning technologies (EDULEARN12), pp. 1985–1992, IATED, Barcelona, Spain, 2012, ISSN: 2340-1117, (2nd-4th July 2012).

Links | BibTeX | Tags: Clustering, Computer Science teaching, Spectral clustering

Arnaiz-González, Álvar; Diez-Pastor, José Francisco; García-Osorio, César; Rodríguez, Juan José

Tool for supporting the teaching of instance selection algorithms Inproceedings

In: Proceedings of the 4th international conference on education and new learning technologies (EDULEARN12), pp. 6088–6096, IATED, Barcelona, Spain, 2012, ISSN: 2340-1117, (2nd-4th July 2012).

Links | BibTeX | Tags: Computer Science teaching, Instance selection

Arnaiz-González, Álvar; Diez-Pastor, José Francisco; García-Osorio, César; Rodríguez, Juan José

Herramienta de apoyo a la docencia de algoritmos de selección de instancias Inproceedings

In: Actas de las XVIII Jornadas de Enseñanza Universitaria de Informática (JENUI 2012), pp. 33–40, Ciudad Real,Spain, 2012, ISBN: 978--84--615--7157--4, (10-13 de julio 2012).

BibTeX | Tags: Computer Science teaching, Instance selection

2011

García-Pedrajas, Nicolás; García-Osorio, César

Constructing ensembles of classifiers using supervised projection methods based on misclassified instances Journal Article

In: Expert Systems with Applications, 38 (1), pp. 343–359, 2011, ISSN: 0957-4174.

Links | BibTeX | Tags: Boosting, Classification, Data Mining, Linear projections, Subspace methods

Maudes, Jesús; Rodríguez, Juan José; García-Osorio, César; Pardo, Carlos

Random projections for linear SVM ensembles Journal Article

In: Applied Intelligence, 34 , pp. 347-359, 2011, ISSN: 0924-669X, 1573-7497, (10.1007/s10489-011-0283-2).

Links | BibTeX | Tags: Data Mining, Ensemble methods, Support vector machines

Bustillo, Andres; Díez-Pastor, José Francisco; Quintana, Guillem; García-Osorio, César

Avoiding neural network fine tuning by using ensemble learning: application to ball-end milling operations Journal Article

In: The International Journal of Advanced Manufacturing Technology, 57 (5--8), pp. 1-12, 2011, ISSN: 0268-3768, (10.1007/s00170-011-3300-z).

Links | BibTeX | Tags: Applied Machine Learning, Business intelligence, Neural networks

Díez-Pastor, José Francisco; García-Osorio, César; Rodríguez, Juan José; Bustillo, Andrés

GRASP Forest: A New Ensemble Method for Trees Inproceedings

In: Sansone, Carlo; Kittler, Josef; Roli, Fabio (Ed.): 10th International Workshop on Multiple Classifier Systems, MCS 2011, pp. 66-75, Springer-Verlag, Naples, Italy, 2011, ISSN: 0302-9743.

Links | BibTeX | Tags: Data Mining, Decision trees, Ensemble methods