Publications

141 entries « 1 of 3 »

2024

Guillen-Sanz, Henar; Checa, David; Miguel-Alonso, Inés; Bustillo, Andrés

A systematic review of wearable biosensor usage in immersive virtual reality experiences Journal Article

In: Virtual Reality, vol. 28, no. 74, 2024, ISSN: 1434-9957.

Abstract | Links | BibTeX | Tags: Biofeedback, Biosensors, Head-mounted displays, Heart rate, Physiology, Virtual Reality

Garrido-Labrador, José Luis; Serrano-Mamolar, Ana; Maudes-Raedo, Jesús; Rodríguez, Juan José; García-Osorio, César

Ensemble methods and semi-supervised learning for information fusion: A review and future research directions Journal Article

In: Information Fusion, vol. 107, 2024.

Abstract | Links | BibTeX | Tags: Bibliographic review, Ensemble learning, Experimental protocol, Information fusion, Label scarsity, Research trends, Semi-supervised ensemble classification, Semi-supervised learning

Miguel-Alonso, Ines; Checa, David; Guillen-Sanz, Henar; Bustillo, Andres

Evaluation of the novelty effect in immersive Virtual Reality learning experiences Journal Article

In: Virtual Reality, vol. 28, no. 27, 2024, ISSN: 1434-9957.

Abstract | Links | BibTeX | Tags: head mounted display, Learning, novelty effect, serious games, tutorial, Virtual Reality

Martinez, Kim; Checa, David; Bustillo, Andres

Development of the Engagement Playability and User eXperience (EPUX) Metric for 2D-Screen and VR Serious Games: A Case-Study Validation of Hellblade: Senua’s Sacrifice Journal Article

In: Electronics, vol. 13, iss. 281, no. 2, pp. 281, 2024.

Abstract | Links | BibTeX | Tags: game design, game engagement, game evaluation, serious games, Virtual Reality

Barbero-Aparicio, José A.; Olivares-Gil, Alicia; Rodríguez, Juan J.; García-Osorio, César; Díez-Pastor, José F.

Addressing data scarcity in protein fitness landscape analysis: A study on semi-supervised and deep transfer learning techniques Journal Article

In: Information Fusion, vol. 102, pp. 102035, 2024, ISSN: 1566-2535.

Abstract | Links | BibTeX | Tags: bioinformatics, Machine learning, Protein fitness prediction, Semi-supervised learning, Small datasets, Transfer learning

2023

Romero, Pablo E.; M, Barrios Juan; Molero, Esther; Bustillo, Andres

Tuning 3D-printing parameters to produce vertical ultra-hydrophobic PETG parts with low ice adhesion: A food industry case study Journal Article

In: Proc IMechE Part B: J Engineering Manufacture, pp. 1-9, 2023.

Abstract | Links | BibTeX | Tags:

Barbero-Aparicio, José A.; Olivares-Gil, Alicia; Díez-Pastor, José F.; García-Osorio, César

Deep learning and support vector machines for transcription start site identification Journal Article

In: PeerJ Computer Science, vol. 9, iss. e1340, 2023, ISSN: 2376-5992.

Abstract | Links | BibTeX | Tags: bioinformatics, Convolutional neural network, Deep learning, Long short-term memory, Machine learning, Support vector machines, transcription start site

Ramírez-Sanz, José Miguel; Garrido-Labrador, José Luis; Olivares-Gil, Alicia; García-Bustillo, Álvaro; Arnaiz-González, Álvar; Díez-Pastor, José-Francisco; Jahouh, Maha; González-Santos, Josefa; González-Bernal, Jerónimo J.; Allende-Río, Marta; Valiñas-Sieiro, Florita; Trejo-Gabriel-Galan, Jose M.; Cubo, Esther

A Low-Cost System Using a Big-Data Deep-Learning Framework for Assessing Physical Telerehabilitation: A Proof-of-Concept Journal Article

In: Healthcare, vol. 11, iss. 4, no. 507, 2023, ISSN: 2227-9032.

Abstract | Links | BibTeX | Tags: artificial intelligence in healthcare, Big data, Parkinson's disease, telemedicine, telerehabilitation

Miguel-Alonso, Inés; Rodriguez-Garcia, Bruno; Checa, David; Bustillo, Andrés

Countering the Novelty Effect: A Tutorial for Immersive Virtual Reality Learning Environments Journal Article

In: Applied Sciences, vol. 13, iss. 1, no. 593, 2023, ISSN: 2076-3417.

Abstract | Links | BibTeX | Tags: cybersickness, education, novelty effect, tutorial, Virtual Reality

2022

Barbero-Aparicio, José Antonio; Cuesta-Lopez, Santiago; García-Osorio, César Ignacio; Pérez-Rodríguez, Javier; García-Pedrajas, Nicolás

Nonlinear physics opens a new paradigm for accurate transcription start site prediction Journal Article

In: BMC Bioinformatics, vol. 23, no. 565, 2022, ISSN: 1471-2105.

Abstract | Links | BibTeX | Tags: DNA breathing, DNA modelling, Machine learning, String kernels, SVM, TSS prediction

Martinez, Kim; Menéndez-Menéndez, María Isabel; Bustillo, Andres

A New Measure for Serious Games Evaluation: Gaming Educational Balanced (GEB) Model Journal Article

In: Applied Sciences, vol. 12, iss. 22, no. 11757, 2022, ISSN: 2076-3417.

Abstract | Links | BibTeX | Tags: game design, game evaluation, metrics, serious games

Pimenov, Danil Yurievich; Bustillo, Andrés; Wojciechowski, Szymon; Sharma, Vishal Santosh; Gupta, Munish Kumar; Kuntğlu, Mustafa

Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review Journal Article

In: Journal of Intelligent Manufacturing, vol. 2022, 2022, ISSN: 0956-5515.

Abstract | Links | BibTeX | Tags: Artificial intelligence, Machining, Sensor, tool condition monitoring, Tool life, Wear

Ramos-Pérez, Ismael; Arnaiz-González, Álvar; Rodríguez, Juan José; García-Osorio, César

When is resampling beneficial for feature selection with imbalanced wide data? Journal Article

In: Expert Systems with Applications, vol. 188, pp. 116015, 2022, ISSN: 0957-4174.

Abstract | Links | BibTeX | Tags: Feature selection, High dimensional data, Machine learning, SELECTED, Unbalanced, Very low sample size, Wide data

Cruz, David Checa; Urbikain, Gorka; Beranoagirre, Aitor; Bustillo, Andrés; Lacalle, Luis Norberto López

Using Machine-Learning techniques and Virtual Reality to design cutting tools for energy optimization in milling operations Journal Article

In: International Journal of Computer Integrated Manufacturing, vol. 35, no. 1, pp. 1-21, 2022, ISSN: 0951-192X.

Abstract | Links | BibTeX | Tags: energy optimization, Ensembles, Multilayer perceptron, serrated cutters, Virtual Reality

Cruz, David Checa; Saucedo-Dorantes, Juan José; Ríos, Roque Alfredo Osorno; Antonio-Daviu, José Alfonso; Bustillo, Andrés

Virtual Reality Training Application for the Condition-Based Maintenance of Induction Motors Journal Article

In: Applied Sciences, vol. 12, no. 1, pp. 414, 2022, ISSN: 2076-3417.

Abstract | Links | BibTeX | Tags: eye tracking, fault detection, FFT, induction motors, SELECTED, Virtual Reality

2021

Cruz, David Checa; Alonso, Inés Miguel; Bustillo, Andrés

Immersive virtual-reality computer-assembly serious game to enhance autonomous learning Journal Article

In: Virtual Reality, 2021, ISSN: 1434-9957.

Abstract | Links | BibTeX | Tags: active learning, computer science, e-learning, educational game, game engine, head mounted display, Virtual Reality

Martínez, Kim; Menéndez, María Isabel Menéndez; Bustillo, Andrés

A systematic review of serious games for children and adolescents: awareness, prevention, detection and therapy for depression and anxiety Journal Article

In: JMIR Serious Games, vol. 9, no. 4 (2021), 2021, ISSN: 2291-9279.

Abstract | Links | BibTeX | Tags: adolescents, anxiety, awareness, children, depression, detection, mental health, prevention, serious games, therapy, Virtual Reality

Juez-Gil, Mario; Arnaiz-González, Álvar; Rodríguez, Juan José; López-Nozal, Carlos; García-Osorio, César

Approx-SMOTE: Fast SMOTE for Big Data on Apache Spark Journal Article

In: Neurocomputing, vol. 464, pp. 432-437, 2021, ISSN: 0925-2312.

Abstract | Links | BibTeX | Tags: Big data, Data Mining, imbalance, SMOTE, Spark

Cruz, David Checa; Martínez, Kim; Ríos, Roque Alfredo Osorno; Bustillo, Andrés

Virtual Reality opportunities in the reduction of occupational hazards in industry 4.0 Journal Article

In: DYNA, vol. 96, no. 6, pp. 620-626, 2021, ISSN: 0012-7361.

Abstract | Links | BibTeX | Tags: Educational Games, Industria 4.0, Industry 4.0, Juegos educativos, Occupational Risk Prevention, Overhead crane, Prevención de Riesgos Laborales, Puente grúa, Realidad Virtual, Virtual Reality

Juez-Gil, Mario; Arnaiz-González, Álvar; Rodríguez, Juan José; López-Nozal, Carlos; García-Osorio, César

Rotation Forest for Big Data Journal Article

In: Information Fusion, vol. 74, pp. 39-49, 2021, ISSN: 1566-2535.

Abstract | Links | BibTeX | Tags: Big data, Ensemble learning, Machine learning, Random forest, Rotation forest, SELECTED, Spark

Juez-Gil, Mario; Arnaiz-González, Álvar; Rodríguez, Juan José; García-Osorio, César

Experimental evaluation of ensemble classifiers for imbalance in Big Data Journal Article

In: Applied Soft Computing, vol. 108, no. 107447, 2021, ISSN: 1568-4946.

Abstract | Links | BibTeX | Tags: Big data, ensemble, imbalance, resampling, Spark, unbalance

Cerro, Azahara; Romero, Pablo E.; Yiğit, Okan; Bustillo, Andrés

Use of machine learning algorithms for surface roughness prediction of printed parts in polyvinyl butyral via fused deposition modeling Journal Article

In: The International Journal of Advanced Manufacturing Technology, 2021, ISSN: 0268-3768.

Abstract | Links | BibTeX | Tags: 3d printing, Fused deposition modeling Fused filament fabrication, Machine learning, surface roughness, WEKA

Rodríguez, Juan José; Juez-Gil, Mario; López-Nozal, Carlos; Arnaiz-González, Álvar

Rotation Forest for multi-target regression Journal Article

In: International Journal of Machine Learning and Cybernetics, 2021, ISSN: 1868-808X.

Abstract | Links | BibTeX | Tags: ensemble, multi-target regression, Rotation forest, SELECTED

Díez-Pastor, José Francisco; Val, Alain Gil; Veiga, Fernando; Bustillo, Andrés

High-accuracy classification of thread quality in tapping processes with ensembles of classifiers for imbalanced learning Journal Article

In: Measurement, vol. 168, no. 108328, 2021, ISSN: 0263-2241.

Abstract | Links | BibTeX | Tags: Bagging, Cutting taps, Imbalanced datasets, Quality assessment, SELECTED, Threading

2020

Díez-Pastor, José Francisco; Latorre-Carmona, Pedro; Arnaiz-González, Álvar; Ruiz-Pérez, Javier; Zurro, Débora

“You Are Not My Type”: An Evaluation of Classification Methods for Automatic Phytolith Identification Journal Article

In: Microscopy and Microanalysis, vol. 26, pp. 1158-1167, 2020, ISSN: 1431-9276.

Abstract | Links | BibTeX | Tags: Feature extraction, Machine learning, Microfossils, Morphometry, Proxy

Juez-Gil, Mario; Saucedo-Dorantes, Juan José; Arnaiz-González, Álvar; López-Nozal, Carlos; García-Osorio, César; Lowe, David

Early and extremely early multi-label fault diagnosis in induction motors Journal Article

In: ISA Transactions, vol. 106, pp. 367-381, 2020, ISSN: 0019-0578.

Abstract | Links | BibTeX | Tags: Early detection, Load insensitive model, Multi-fault detection, Multi-label classification, Prediction at low operating frequencies, Principal component analysis, SELECTED

Bustillo, Andrés; Reis, Roberto; Machado, Alisson R.; Pimenov, Danil Yurievich

Improving the accuracy of machine-learning models with data from machine test repetitions Journal Article

In: Journal of Intelligent Manufacturing, 2020, ISSN: 0956-5515.

Abstract | Links | BibTeX | Tags: Artificial intelligence, Brandsma facing tests, Ensembles, Machine learning, Tool geometry, Turning

Bustillo, Andrés; Pimenov, Danil Yurievich; Mia, Mozammel; Kapłonek, Wojciech

Machine-learning for automatic prediction of flatness deviation considering the wear of the face mill teeth Journal Article

In: Journal of Intelligent Manufacturing, 2020, ISSN: 0956-5515.

Abstract | Links | BibTeX | Tags: Cutting power, Face milling, Flatness deviation, Random forest, SMOTE, tool condition monitoring, Tool life, Wear

Rodríguez, Juan José; Juez-Gil, Mario; Arnaiz-González, Álvar; Kuncheva, Ludmila I

An experimental evaluation of mixup regression forests Journal Article

In: Expert Systems with Applications, vol. 151, no. 113376, 2020, ISSN: 0957-4174.

Abstract | Links | BibTeX | Tags: Mixup, Random forest, Regression, Rotation forest, SELECTED

Garrido-Labrador, José Luis; Puente-Gabarri, Daniel; Ramirez-Sanz, José Miguel; Ayala-Dulanto, David; Maudes, Jesús

Using Ensembles for Accurate Modelling of Manufacturing Processes in an IoT Data-Acquisition Solution Journal Article

In: Applied Sciences, vol. 10, no. 13, 2020, ISSN: 2076-3417.

Abstract | Links | BibTeX | Tags: Ensembles, internet of things, Milling, rotation forests, unbalanced datasets

Rodríguez, Juan José; Díez-Pastor, José Francisco; Arnaiz-González, Álvar; Kuncheva, Ludmila I

Random Balance ensembles for multiclass imbalance learning Journal Article

In: Knowledge-Based Systems, 2020, ISSN: 0950-7051.

Abstract | Links | BibTeX | Tags: Classifier ensembles, Imbalanced data, Multiclass classification, SELECTED

2019

Checa, David; Bustillo, Andrés

A review of immersive virtual reality serious games to enhance learning and training Journal Article

In: Multimedia Tools and Applications, pp. 1-21, 2019, ISSN: 1380-7501.

Abstract | Links | BibTeX | Tags: Evaluation, Learning, SELECTED, Serious Game, Systematic Literature Review, Virtual Reality

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

Evolutionary prototype selection for multi-output regression Journal Article

In: Neurocomputing, vol. 358, pp. 309-320, 2019, ISSN: 0925-2312.

Abstract | Links | BibTeX | Tags: Multi-output, Multi-target, Prototype selection, Regression, SELECTED

Juez-Gil, Mario; Erdakov, Ivan Nikolaevich; Bustillo, Andrés; Pimenov, Danil Yurievich

A regression-tree multilayer-perceptron hybrid strategy for the prediction of ore crushing-plate lifetimes Journal Article

In: Journal of Advanced Research, vol. July 2019, no. 18, pp. 173-184, 2019, ISSN: 2090-1232.

Abstract | Links | BibTeX | Tags: Artificial intelligence, Hadfield steel, Lifetime prediction, Multi-layer perceptrons, Regression trees, Resource savings

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: Progress in Artificial Intelligence, vol. 8, no. 2, pp. 215-228, 2019, ISSN: 2192-6352.

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

Alonso-Abad, Jesús M.; López-Nozal, Carlos; Maudes-Raedo, Jesús; Marticorena-Sánchez, Raúl

Label prediction on issue tracking systems using text mining Journal Article

In: Progress in Artificial Intelligence, pp. 1-18, 2019, ISSN: 2192-6360.

Abstract | Links | BibTeX | Tags: Experimentation in software engineering, Issue tracker system, Label prediction, Text classifier, Text mining

Beranoagirre, Aitor; Urbikain, Gorka; Marticorena-Sánchez, Raúl; Bustillo, Andrés; Lacalle,

Sensitivity Analysis of Tool Wear in Drilling of Titanium Aluminides Journal Article

In: Metals, vol. 9, no. 3, pp. 297, 2019, ISSN: 2075-4701.

Abstract | Links | BibTeX | Tags: difficult-to-cut materials, drilling, gamma TiAl, titanium aluminides

Pimenov, Danil Yurievich; Hassui, Amauri; Wojciechowski, Szymon; Mia, Mozammel; Magri, Aristides; Suyama, Daniel I.; Bustillo, Andrés; Krolczyk, Grzegorz; Gupta, Munish Kumar

Effect of the Relative Position of the Face Milling Tool towards the Workpiece on Machined Surface Roughness and Milling Dynamics Journal Article

In: Applied Sciences, vol. 9, no. 5, pp. 842, 2019, ISSN: 2076-3417.

Abstract | Links | BibTeX | Tags: acceleration, cutting force, Face milling, relative position, surface roughness

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

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

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

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

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

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

Checa, David; Zulaika, Juan J; Lazkanotegi, Iñigo; Bustillo, Andrés

Optimización del proceso de mecanizado de grandes piezas de fundición mediante la monitorización remota y la visualización 3D Journal Article

In: DYNA Ingeniería e Industria, vol. 93, no. 1, pp. 668–674, 2018, ISSN: 19891490.

Abstract | Links | BibTeX | Tags: Indicadores claves de rendimiento, Máquina herramienta, Optimización del mecanizado, Realidad Virtual

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, vol. 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, vol. 81, pp. 660-673, 2018, ISSN: 0031-3203.

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

Bustillo, Andres; Urbikain, Gorka; Perez, Jose M; Pereira, Octavio M; Lacalle, Luis Lopez N

Smart optimization of a friction-drilling process based on boosting ensembles Journal Article

In: Journal of Manufacturing Systems, 2018, ISSN: 0278-6125.

Abstract | Links | BibTeX | Tags: Boosting, Ensembles, Friction drilling, Gap prediction, Small-size dataset

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, vol. 68, pp. 651-666, 2018, ISSN: 1568-4946.

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

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, vol. 29, no. 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, vol. 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, vol. 286, pp. 167-178, 2018, ISSN: 0925-2312.

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

141 entries « 1 of 3 »