David Guijo-Rubio

52 papers A* 1B 2Journal 24Unranked 25
YearRankTypeTitle / Venue / Authors
2026 J jnl
Splitting criteria for ordinal decision trees: An experimental study.
Pattern Recognit.
Rafael Ayllón-Gavilán, Francisco José Martínez-Estudillo, David Guijo-Rubio, César Hervás-Martínez, Pedro Antonio Gutiérrez
2026 J jnl
TOC-UCO: a comprehensive repository of tabular ordinal classification datasets.
Neurocomputing
Rafael Ayllón-Gavilán, David Guijo-Rubio, Antonio Manuel Gómez-Orellana, Francisco Bérchez-Moreno, Víctor Manuel Vargas, Pedro Antonio Gutiérrez
2025 J jnl
Convolutional- and Deep Learning-Based Techniques for Time Series Ordinal Classification.
IEEE Trans. Cybern.
Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, Anthony J. Bagnall, César Hervás-Martínez
2025 — conf
Hybrid Dropout for Deep Ordinal Classification.
IWANN (1)
Francisco Bérchez-Moreno, Francisco Moreno-Cano, David Guijo-Rubio, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez
2025 — conf
Knee Osteoarthritis Severity Grading Using Soft Labelling and Ordinal Classification.
IWANN (1)
Francisco Bérchez-Moreno, Víctor Manuel Vargas, Antonio M. Gómez-Orellana, David Guijo-Rubio, Luca Romeo, Edoardo Conti, Pedro Antonio Gutiérrez, César Hervás-Martínez
2025 J jnl
Simultaneous multi-step wind speed prediction on multiple farms using multi-task deep learning.
Integr. Comput. Aided Eng.
Rafael Ayllón-Gavilán, Antonio Manuel Gómez-Orellana, Víctor Manuel Vargas, David Guijo-Rubio, Jorge Pérez-Aracil, Sancho Salcedo-Sanz, Pedro Antonio Gutiérrez, César Hervás-Martínez
2025 J jnl
TOC-UCO: a comprehensive repository of tabular ordinal classification datasets.
CoRR
Rafael Ayllón-Gavilán, David Guijo-Rubio, Antonio Manuel Gómez-Orellana, Francisco Bérchez-Moreno, Víctor Manuel Vargas Yun, Pedro Antonio Gutiérrez
2025 J jnl
dlordinal: A Python package for deep ordinal classification.
Neurocomputing
Francisco Bérchez-Moreno, Rafael Ayllón-Gavilán, Víctor Manuel Vargas Yun, David Guijo-Rubio, César Hervás-Martínez, Juan Carlos Fernández, Pedro Antonio Gutiérrez
2024 A* conf
A Hands-on Introduction to Time Series Classification and Regression.
KDD
Anthony J. Bagnall, Matthew Middlehurst, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume, David Guijo-Rubio, Chang Wei Tan, Angus Dempster, Geoffrey I. Webb
2024 — conf
Age Estimation Using Soft Labelling Ordinal Classification Approaches.
CAEPIA
Víctor Manuel Vargas Yun, Antonio M. Gómez-Orellana, David Guijo-Rubio, Francisco Bérchez-Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez
2024 — conf
Data Augmentation Techniques for Extreme Wind Prediction Improvement.
IWINAC (2)
Marta Vega-Bayo, Antonio Manuel Gómez-Orellana, Víctor Manuel Vargas Yun, David Guijo-Rubio, Laura Cornejo-Bueno, Jorge Pérez-Aracil, Sancho Salcedo-Sanz
2024 J jnl
EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height.
Knowl. Based Syst.
Víctor Manuel Vargas, Antonio M. Gómez-Orellana, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio
2024 — conf
Energy Flux Prediction Using an Ordinal Soft Labelling Strategy.
IWINAC (2)
Antonio M. Gómez-Orellana, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Jorge Pérez-Aracil, Sancho Salcedo-Sanz, César Hervás-Martínez, David Guijo-Rubio
2024 — conf
Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm.
IWINAC (2)
Antonio M. Gómez-Orellana, Víctor Manuel Vargas, David Guijo-Rubio, Jorge Pérez-Aracil, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez
2024 — conf
O-Hydra: A Hybrid Convolutional and Dictionary-Based Approach to Time Series Ordinal Classification.
CAEPIA
Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
2024 J jnl
ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target.
Eng. Appl. Artif. Intell.
Antonio M. Gómez-Orellana, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez, Víctor Manuel Vargas
2024 J jnl
Splitting criteria for ordinal decision trees: an experimental study.
CoRR
Rafael Ayllón-Gavilán, Francisco José Martínez-Estudillo, David Guijo-Rubio, César Hervás-Martínez, Pedro Antonio Gutiérrez
2024 J jnl
Unsupervised feature based algorithms for time series extrinsic regression.
Data Min. Knowl. Discov.
David Guijo-Rubio, Matthew Middlehurst, Guilherme Arcencio, Diego Furtado Silva, Anthony J. Bagnall
2024 J jnl
Validation of artificial neural networks to model the acoustic behaviour of induction motors.
CoRR
F. J. Jimenez-Romero, David Guijo-Rubio, F. R. Lara-Raya, A. Ruiz-Gonzalez, César Hervás-Martínez
2024 J jnl
aeon: a Python Toolkit for Learning from Time Series.
J. Mach. Learn. Res.
Matthew Middlehurst, Ali Ismail-Fawaz, Antoine Guillaume, Christopher Holder, David Guijo-Rubio, Guzal Bulatova, Leonidas Tsaprounis, Lukasz Mentel, Martin Walter, Patrick Schäfer, Anthony J. Bagnall
2024 J jnl
aeon: a Python toolkit for learning from time series.
CoRR
Matthew Middlehurst, Ali Ismail-Fawaz, Antoine Guillaume, Christopher Holder, David Guijo-Rubio, Guzal Bulatova, Leonidas Tsaprounis, Lukasz Mentel, Martin Walter, Patrick Schäfer, Anthony J. Bagnall
2024 J jnl
dlordinal: a Python package for deep ordinal classification.
CoRR
Francisco Bérchez-Moreno, Víctor Manuel Vargas, Rafael Ayllón-Gavilán, David Guijo-Rubio, César Hervás-Martínez, Juan Carlos Fernández, Pedro Antonio Gutiérrez
2023 — conf
A Dictionary-Based Approach to Time Series Ordinal Classification.
IWANN (2)
Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
2023 J jnl
A Dictionary-based approach to Time Series Ordinal Classification.
CoRR
Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
2023 J jnl
An Evolutionary Artificial Neural Network approach for spatio-temporal wave height time series reconstruction.
Appl. Soft Comput.
David Guijo-Rubio, Antonio Manuel Durán-Rosal, Antonio M. Gómez-Orellana, Juan Carlos Fernández
2023 — conf
Barycentre Averaging for the Move-Split-Merge Time Series Distance Measure.
KDIR
Christopher Holder, David Guijo-Rubio, Anthony J. Bagnall
2023 J jnl
Cluster analysis and forecasting of viruses incidence growth curves: Application to SARS-CoV-2.
Expert Syst. Appl.
Miguel Díaz-Lozano, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
2023 — conf
Clustering Time Series with k-Medoids Based Algorithms.
AALTD@ECML/PKDD
Christopher Holder, David Guijo-Rubio, Anthony J. Bagnall
2023 J jnl
Convolutional and Deep Learning based techniques for Time Series Ordinal Classification.
CoRR
Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, Anthony J. Bagnall, César Hervás-Martínez
2023 J jnl
Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation.
Inf. Sci.
Víctor Manuel Vargas, Antonio Manuel Durán-Rosal, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
2023 — conf
Gramian Angular and Markov Transition Fields Applied to Time Series Ordinal Classification.
IWANN (2)
Víctor Manuel Vargas, Rafael Ayllón-Gavilán, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio
2023 — conf
Ordinal Classification Approach for Donor-Recipient Matching in Liver Transplantation with Circulatory Death Donors.
IWANN (2)
Marcos Rivera-Gavilán, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Javier Briceño, César Hervás-Martínez, David Guijo-Rubio
2023 J jnl
Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression.
CoRR
David Guijo-Rubio, Matthew Middlehurst, Guilherme Arcencio, Diego Furtado Silva, Anthony J. Bagnall
2022 — conf
Assessing the Efficient Market Hypothesis for Cryptocurrencies with High-Frequency Data Using Time Series Classification.
SOCO
Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
2022 J jnl
COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain.
Expert Syst. Appl.
Miguel Díaz-Lozano, David Guijo-Rubio, Pedro Antonio Gutiérrez, Antonio Manuel Gómez-Orellana, Isaac Túñez, Luis Ortigosa-Moreno, Armando Romanos-Rodríguez, Javier Padillo-Ruiz, César Hervás-Martínez
2022 — conf
Clustering of COVID-19 Time Series Incidence Intensity in Andalusia, Spain.
IWINAC (1)
Miguel Díaz-Lozano, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
2022 — conf
Gamifying the Classroom for the Acquisition of Skills Associated with Machine Learning: A Two-Year Case Study.
CISIS-ICEUTE
Antonio Manuel Durán-Rosal, David Guijo-Rubio, Víctor Manuel Vargas, Antonio M. Gómez-Orellana, Pedro Antonio Gutiérrez, Juan Carlos Fernández
2022 — conf
Hackathon in Teaching: Applying Machine Learning to Life Sciences Tasks.
CISIS-ICEUTE
David Guijo-Rubio, Víctor Manuel Vargas, Javier Barbero-Gómez, Jose V. Die, Pablo González-Moreno
2021 B conf
Enhancing the ORCA framework with a new Fuzzy Rule Base System implementation compatible with the JFML library.
FUZZ-IEEE
Francisco J. Rodríguez-Lozano, David Guijo-Rubio, Pedro Antonio Gutiérrez, José Manuel Soto-Hidalgo, Juan Carlos Gámez-Granados
2021 — conf
ReLU-Based Activations: Analysis and Experimental Study for Deep Learning.
CAEPIA
Víctor Manuel Vargas, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
2021 — conf
Studying the Effect of Different L
CAEPIA
David Guijo-Rubio, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez
2021 J jnl
Time-Series Clustering Based on the Characterization of Segment Typologies.
IEEE Trans. Cybern.
David Guijo-Rubio, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Alicia Troncoso, César Hervás-Martínez
2020 — conf
Ordinal Versus Nominal Time Series Classification.
AALTD@PKDD/ECML
David Guijo-Rubio, Pedro Antonio Gutiérrez, Anthony J. Bagnall, César Hervás-Martínez
2020 J jnl
Prediction of convective clouds formation using evolutionary neural computation techniques.
Neural Comput. Appl.
David Guijo-Rubio, Pedro Antonio Gutiérrez, Carlos Casanova-Mateo, Juan Carlos Fernández, Antonio M. Gómez-Orellana, Pablo Salvador-González, Sancho Salcedo-Sanz, César Hervás-Martínez
2020 B conf
Time series ordinal classification via shapelets.
IJCNN
David Guijo-Rubio, Pedro Antonio Gutiérrez, Anthony J. Bagnall, César Hervás-Martínez
2019 — conf
A Hybrid Approach to Time Series Classification with Shapelets.
IDEAL (1)
David Guijo-Rubio, Pedro Antonio Gutiérrez, Romain Tavenard, Anthony J. Bagnall
2019 — conf
Modelling Survival by Machine Learning Methods in Liver Transplantation: Application to the UNOS Dataset.
IDEAL (2)
David Guijo-Rubio, Pedro J. Villalón-Vaquero, Pedro Antonio Gutiérrez, María Dolores Ayllón-Terán, Javier Briceño, César Hervás-Martínez
2018 — conf
Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction.
IDEAL (2)
David Guijo-Rubio, Antonio Manuel Durán-Rosal, Antonio M. Gómez-Orellana, Pedro Antonio Gutiérrez, César Hervás-Martínez
2018 — conf
Hybrid Weighted Barebones Exploiting Particle Swarm Optimization Algorithm for Time Series Representation.
BIOMA
Antonio Manuel Durán-Rosal, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
2018 J jnl
Time series clustering based on the characterisation of segment typologies.
CoRR
David Guijo-Rubio, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Alicia Troncoso, César Hervás-Martínez
2017 — conf
A Coral Reef Optimization Algorithm for Wave Height Time Series Segmentation Problems.
IWANN (1)
Antonio Manuel Durán-Rosal, David Guijo-Rubio, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez
2016 — conf
Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines.
CAEPIA
Manuel Dorado-Moreno, Antonio Manuel Durán-Rosal, David Guijo-Rubio, Pedro Antonio Gutiérrez, Luis Prieto, Sancho Salcedo-Sanz, César Hervás-Martínez