David Guijo-Rubio

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 42

Top Topics

Ordinal Classification

Top Venues

Publications

Anthony J. Bagnall, Matthew Middlehurst, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume, David Guijo-Rubio, Chang Wei Tan, Angus Dempster, Geoffrey I. Webb
A Hands-on Introduction to Time Series Classification and Regression. KDD (2024)
Antonio M. Gómez-Orellana, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Jorge Pérez-Aracil, Sancho Salcedo-Sanz, César Hervás-Martínez, David Guijo-Rubio
Energy Flux Prediction Using an Ordinal Soft Labelling Strategy. IWINAC (2) (2024)
Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
O-Hydra: A Hybrid Convolutional and Dictionary-Based Approach to Time Series Ordinal Classification. CAEPIA (2024)
Francisco Bérchez-Moreno, Víctor Manuel Vargas, Rafael Ayllón-Gavilán, David Guijo-Rubio, César Hervás-Martínez, Juan Carlos Fernández, Pedro Antonio Gutiérrez
dlordinal: a Python package for deep ordinal classification. CoRR (2024)
Antonio M. Gómez-Orellana, Víctor Manuel Vargas, David Guijo-Rubio, Jorge Pérez-Aracil, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez
Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm. IWINAC (2) (2024)
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
aeon: a Python toolkit for learning from time series. CoRR (2024)
Antonio M. Gómez-Orellana, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez, Víctor Manuel Vargas
ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target. Eng. Appl. Artif. Intell. 133 (2024)
Víctor Manuel Vargas Yun, Antonio M. Gómez-Orellana, David Guijo-Rubio, Francisco Bérchez-Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez
Age Estimation Using Soft Labelling Ordinal Classification Approaches. CAEPIA (2024)
Marta Vega-Bayo, Antonio Manuel Gómez-Orellana, Víctor Manuel Vargas Yun, David Guijo-Rubio, Laura Cornejo-Bueno, Jorge Pérez-Aracil, Sancho Salcedo-Sanz
Data Augmentation Techniques for Extreme Wind Prediction Improvement. IWINAC (2) (2024)
David Guijo-Rubio, Matthew Middlehurst, Guilherme Arcencio, Diego Furtado Silva, Anthony J. Bagnall
Unsupervised feature based algorithms for time series extrinsic regression. Data Min. Knowl. Discov. 38 (4) (2024)
Víctor Manuel Vargas, Antonio M. Gómez-Orellana, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio
EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height. Knowl. Based Syst. 300 (2024)
F. J. Jimenez-Romero, David Guijo-Rubio, F. R. Lara-Raya, A. Ruiz-Gonzalez, César Hervás-Martínez
Validation of artificial neural networks to model the acoustic behaviour of induction motors. CoRR (2024)
Marcos Rivera-Gavilán, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Javier Briceño, César Hervás-Martínez, David Guijo-Rubio
Ordinal Classification Approach for Donor-Recipient Matching in Liver Transplantation with Circulatory Death Donors. IWANN (2) (2023)
David Guijo-Rubio, Antonio Manuel Durán-Rosal, Antonio M. Gómez-Orellana, Juan Carlos Fernández
An Evolutionary Artificial Neural Network approach for spatio-temporal wave height time series reconstruction. Appl. Soft Comput. 146 (2023)
Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
A Dictionary-Based Approach to Time Series Ordinal Classification. IWANN (2) (2023)
Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, Anthony J. Bagnall, César Hervás-Martínez
Convolutional and Deep Learning based techniques for Time Series Ordinal Classification. CoRR (2023)
Víctor Manuel Vargas, Antonio Manuel Durán-Rosal, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation. Inf. Sci. 648 (2023)
Víctor Manuel Vargas, Rafael Ayllón-Gavilán, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio
Gramian Angular and Markov Transition Fields Applied to Time Series Ordinal Classification. IWANN (2) (2023)
David Guijo-Rubio, Matthew Middlehurst, Guilherme Arcencio, Diego Furtado Silva, Anthony J. Bagnall
Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression. CoRR (2023)
Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
A Dictionary-based approach to Time Series Ordinal Classification. CoRR (2023)
Christopher Holder, David Guijo-Rubio, Anthony J. Bagnall
Barycentre Averaging for the Move-Split-Merge Time Series Distance Measure. KDIR (2023)
Christopher Holder, David Guijo-Rubio, Anthony J. Bagnall
Clustering Time Series with k-Medoids Based Algorithms. AALTD@ECML/PKDD (2023)
Miguel Díaz-Lozano, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
Cluster analysis and forecasting of viruses incidence growth curves: Application to SARS-CoV-2. Expert Syst. Appl. 225 (2023)
Miguel Díaz-Lozano, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
Clustering of COVID-19 Time Series Incidence Intensity in Andalusia, Spain. IWINAC (1) (2022)
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
COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain. Expert Syst. Appl. 207 (2022)
Antonio Manuel Durán-Rosal, David Guijo-Rubio, Víctor Manuel Vargas, Antonio M. Gómez-Orellana, Pedro Antonio Gutiérrez, Juan C. Fernandez
Gamifying the Classroom for the Acquisition of Skills Associated with Machine Learning: A Two-Year Case Study. CISIS-ICEUTE (2022)
David Guijo-Rubio, Víctor Manuel Vargas, Javier Barbero-Gómez, Jose V. Die, Pablo González-Moreno
Hackathon in Teaching: Applying Machine Learning to Life Sciences Tasks. CISIS-ICEUTE (2022)
Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
Assessing the Efficient Market Hypothesis for Cryptocurrencies with High-Frequency Data Using Time Series Classification. SOCO (2022)
David Guijo-Rubio, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez
Norms in the Context of Time Series Ordinal Classification. CAEPIA (2021)
Francisco J. Rodríguez-Lozano, David Guijo-Rubio, Pedro Antonio Gutiérrez, José Manuel Soto-Hidalgo, Juan Carlos Gámez-Granados
Enhancing the ORCA framework with a new Fuzzy Rule Base System implementation compatible with the JFML library. FUZZ-IEEE (2021)
David Guijo-Rubio, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Alicia Troncoso, César Hervás-Martínez
Time-Series Clustering Based on the Characterization of Segment Typologies. IEEE Trans. Cybern. 51 (11) (2021)
Víctor Manuel Vargas, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
ReLU-Based Activations: Analysis and Experimental Study for Deep Learning. CAEPIA (2021)
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
Prediction of convective clouds formation using evolutionary neural computation techniques. Neural Comput. Appl. 32 (17) (2020)
David Guijo-Rubio, Pedro Antonio Gutiérrez, Anthony J. Bagnall, César Hervás-Martínez
Ordinal Versus Nominal Time Series Classification. AALTD@PKDD/ECML (2020)
David Guijo-Rubio, Pedro Antonio Gutiérrez, Anthony J. Bagnall, César Hervás-Martínez
Time series ordinal classification via shapelets. IJCNN (2020)
David Guijo-Rubio, Pedro J. Villalón-Vaquero, Pedro Antonio Gutiérrez, María Dolores Ayllón-Terán, Javier Briceño, César Hervás-Martínez
Modelling Survival by Machine Learning Methods in Liver Transplantation: Application to the UNOS Dataset. IDEAL (2) (2019)
David Guijo-Rubio, Pedro Antonio Gutiérrez, Romain Tavenard, Anthony J. Bagnall
A Hybrid Approach to Time Series Classification with Shapelets. IDEAL (1) (2019)
David Guijo-Rubio, Antonio Manuel Durán-Rosal, Antonio M. Gómez-Orellana, Pedro Antonio Gutiérrez, César Hervás-Martínez
Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction. IDEAL (2) (2018)
Antonio Manuel Durán-Rosal, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
Hybrid Weighted Barebones Exploiting Particle Swarm Optimization Algorithm for Time Series Representation. BIOMA (2018)
David Guijo-Rubio, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Alicia Troncoso, César Hervás-Martínez
Time series clustering based on the characterisation of segment typologies. CoRR (2018)
Antonio Manuel Durán-Rosal, David Guijo-Rubio, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez
A Coral Reef Optimization Algorithm for Wave Height Time Series Segmentation Problems. IWANN (1) (2017)
Manuel Dorado-Moreno, Antonio Manuel Durán-Rosal, David Guijo-Rubio, Pedro Antonio Gutiérrez, Luis Prieto, Sancho Salcedo-Sanz, César Hervás-Martínez
Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines. CAEPIA (2016)