dlordinal: A Python package for deep ordinal classification. - Bérchez-Moreno, Francisco; Ayllón-Gavilán, Rafael; Yun, Víctor Manuel Vargas; Guijo-Rubio, David; Hervás-Martínez, César; Fernández, Juan Carlos; Gutiérrez, Pedro Antonio (Neurocomputing, 2025)

Convolutional- and Deep Learning-Based Techniques for Time Series Ordinal Classification. - Ayllón-Gavilán, Rafael; Guijo-Rubio, David; Gutiérrez, Pedro Antonio; Bagnall, Anthony J.; Hervás-Martínez, César (IEEE Trans. Cybern., 2025)

Unsupervised feature based algorithms for time series extrinsic regression. - Guijo-Rubio, David; Middlehurst, Matthew; Arcencio, Guilherme; Silva, Diego Furtado; Bagnall, Anthony J. (Data Min. Knowl. Discov., 2024)

ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target. - Gómez-Orellana, Antonio M.; Guijo-Rubio, David; Gutiérrez, Pedro Antonio; Hervás-Martínez, César; Vargas, Víctor Manuel (Eng. Appl. Artif. Intell., 2024)

EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height. - Vargas, Víctor Manuel; Gómez-Orellana, Antonio M.; Gutiérrez, Pedro Antonio; Hervás-Martínez, César; Guijo-Rubio, David (Knowl. Based Syst., 2024)

Age Estimation Using Soft Labelling Ordinal Classification Approaches. - Yun, Víctor Manuel Vargas; Gómez-Orellana, Antonio M.; Guijo-Rubio, David; Bérchez-Moreno, Francisco; Gutiérrez, Pedro Antonio; Hervás-Martínez, César (2024)

O-Hydra: A Hybrid Convolutional and Dictionary-Based Approach to Time Series Ordinal Classification. - Ayllón-Gavilán, Rafael; Guijo-Rubio, David; Gutiérrez, Pedro Antonio; Hervás-Martínez, César (2024)

Energy Flux Prediction Using an Ordinal Soft Labelling Strategy. - Gómez-Orellana, Antonio M.; Vargas, Víctor Manuel; Gutiérrez, Pedro Antonio; Pérez-Aracil, Jorge; Salcedo-Sanz, Sancho; Hervás-Martínez, César; Guijo-Rubio, David (2024)

Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm. - Gómez-Orellana, Antonio M.; Vargas, Víctor Manuel; Guijo-Rubio, David; Pérez-Aracil, Jorge; Gutiérrez, Pedro Antonio; Salcedo-Sanz, Sancho; Hervás-Martínez, César (2024)

Data Augmentation Techniques for Extreme Wind Prediction Improvement. - Vega-Bayo, Marta; Gómez-Orellana, Antonio Manuel; Yun, Víctor Manuel Vargas; Guijo-Rubio, David; Cornejo-Bueno, Laura; Pérez-Aracil, Jorge; Salcedo-Sanz, Sancho (2024)

A Hands-on Introduction to Time Series Classification and Regression. - Bagnall, Anthony J.; Middlehurst, Matthew; Forestier, Germain; Ismail-Fawaz, Ali; Guillaume, Antoine; Guijo-Rubio, David; Tan, Chang Wei; Dempster, Angus; Webb, Geoffrey I. (2024)

Validation of artificial neural networks to model the acoustic behaviour of induction motors. - Jimenez-Romero, F. J.; Guijo-Rubio, David; Lara-Raya, F. R.; Ruiz-Gonzalez, A.; Hervás-Martínez, César (CoRR, 2024)

aeon: a Python toolkit for learning from time series. - Middlehurst, Matthew; Ismail-Fawaz, Ali; Guillaume, Antoine; Holder, Christopher; Guijo-Rubio, David; Bulatova, Guzal; Tsaprounis, Leonidas; Mentel, Lukasz; Walter, Martin; Schäfer, Patrick; Bagnall, Anthony J. (CoRR, 2024)

dlordinal: a Python package for deep ordinal classification. - Bérchez-Moreno, Francisco; Vargas, Víctor Manuel; Ayllón-Gavilán, Rafael; Guijo-Rubio, David; Hervás-Martínez, César; Fernández, Juan Carlos; Gutiérrez, Pedro Antonio (CoRR, 2024)

Splitting criteria for ordinal decision trees: an experimental study. - Ayllón-Gavilán, Rafael; Martínez-Estudillo, Francisco José; Guijo-Rubio, David; Hervás-Martínez, César; Gutiérrez, Pedro Antonio (CoRR, 2024)

An Evolutionary Artificial Neural Network approach for spatio-temporal wave height time series reconstruction. - Guijo-Rubio, David; Durán-Rosal, Antonio Manuel; Gómez-Orellana, Antonio M.; Fernández, Juan Carlos (Appl. Soft Comput., 2023)

Cluster analysis and forecasting of viruses incidence growth curves: Application to SARS-CoV-2. - Díaz-Lozano, Miguel; Guijo-Rubio, David; Gutiérrez, Pedro Antonio; Hervás-Martínez, César (Expert Syst. Appl., 2023)

Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation. - Vargas, Víctor Manuel; Durán-Rosal, Antonio Manuel; Guijo-Rubio, David; Gutiérrez, Pedro Antonio; Hervás-Martínez, César (Inf. Sci., 2023)

Clustering Time Series with k-Medoids Based Algorithms. - Holder, Christopher; Guijo-Rubio, David; Bagnall, Anthony J. (2023)

Barycentre Averaging for the Move-Split-Merge Time Series Distance Measure. - Holder, Christopher; Guijo-Rubio, David; Bagnall, Anthony J. (2023)

Gramian Angular and Markov Transition Fields Applied to Time Series Ordinal Classification. - Vargas, Víctor Manuel; Ayllón-Gavilán, Rafael; Durán-Rosal, Antonio Manuel; Gutiérrez, Pedro Antonio; Hervás-Martínez, César; Guijo-Rubio, David (2023)

Ordinal Classification Approach for Donor-Recipient Matching in Liver Transplantation with Circulatory Death Donors. - Rivera-Gavilán, Marcos; Vargas, Víctor Manuel; Gutiérrez, Pedro Antonio; Briceño, Javier; Hervás-Martínez, César; Guijo-Rubio, David (2023)

A Dictionary-Based Approach to Time Series Ordinal Classification. - Ayllón-Gavilán, Rafael; Guijo-Rubio, David; Gutiérrez, Pedro Antonio; Hervás-Martínez, César (2023)

Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression. - Guijo-Rubio, David; Middlehurst, Matthew; Arcencio, Guilherme; Silva, Diego Furtado; Bagnall, Anthony J. (CoRR, 2023)

A Dictionary-based approach to Time Series Ordinal Classification. - Ayllón-Gavilán, Rafael; Guijo-Rubio, David; Gutiérrez, Pedro Antonio; Hervás-Martínez, César (CoRR, 2023)

Convolutional and Deep Learning based techniques for Time Series Ordinal Classification. - Ayllón-Gavilán, Rafael; Guijo-Rubio, David; Gutiérrez, Pedro Antonio; Bagnall, Anthony J.; Hervás-Martínez, César (CoRR, 2023)

COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain. - Díaz-Lozano, Miguel; Guijo-Rubio, David; Gutiérrez, Pedro Antonio; Gómez-Orellana, Antonio Manuel; Túñez, Isaac; Ortigosa-Moreno, Luis; Romanos-Rodríguez, Armando; Padillo-Ruiz, Javier; Hervás-Martínez, César (Expert Syst. Appl., 2022)

Gamifying the Classroom for the Acquisition of Skills Associated with Machine Learning: A Two-Year Case Study. - Durán-Rosal, Antonio Manuel; Guijo-Rubio, David; Vargas, Víctor Manuel; Gómez-Orellana, Antonio M.; Gutiérrez, Pedro Antonio; Fernández, Juan Carlos (2022)

Hackathon in Teaching: Applying Machine Learning to Life Sciences Tasks. - Guijo-Rubio, David; Vargas, Víctor Manuel; Barbero-Gómez, Javier; Die, Jose V.; González-Moreno, Pablo (2022)

Clustering of COVID-19 Time Series Incidence Intensity in Andalusia, Spain. - Díaz-Lozano, Miguel; Guijo-Rubio, David; Gutiérrez, Pedro Antonio; Hervás-Martínez, César (2022)

Assessing the Efficient Market Hypothesis for Cryptocurrencies with High-Frequency Data Using Time Series Classification. - Ayllón-Gavilán, Rafael; Guijo-Rubio, David; Gutiérrez, Pedro Antonio; Hervás-Martínez, César (2022)

Time-Series Clustering Based on the Characterization of Segment Typologies. - Guijo-Rubio, David; Durán-Rosal, Antonio Manuel; Gutiérrez, Pedro Antonio; Troncoso, Alicia; Hervás-Martínez, César (IEEE Trans. Cybern., 2021)

ReLU-Based Activations: Analysis and Experimental Study for Deep Learning. - Vargas, Víctor Manuel; Guijo-Rubio, David; Gutiérrez, Pedro Antonio; Hervás-Martínez, César (2021)

Studying the Effect of Different Lp Norms in the Context of Time Series Ordinal Classification. - Guijo-Rubio, David; Vargas, Víctor Manuel; Gutiérrez, Pedro Antonio; Hervás-Martínez, César (2021)

Enhancing the ORCA framework with a new Fuzzy Rule Base System implementation compatible with the JFML library. - Rodríguez-Lozano, Francisco J.; Guijo-Rubio, David; Gutiérrez, Pedro Antonio; Soto-Hidalgo, José Manuel; Gámez-Granados, Juan Carlos (2021)

Prediction of convective clouds formation using evolutionary neural computation techniques. - Guijo-Rubio, David; Gutiérrez, Pedro Antonio; Casanova-Mateo, Carlos; Fernández, Juan Carlos; Gómez-Orellana, Antonio M.; Salvador-González, Pablo; Salcedo-Sanz, Sancho; Hervás-Martínez, César (Neural Comput. Appl., 2020)

Time series ordinal classification via shapelets. - Guijo-Rubio, David; Gutiérrez, Pedro Antonio; Bagnall, Anthony J.; Hervás-Martínez, César (2020)

Ordinal Versus Nominal Time Series Classification. - Guijo-Rubio, David; Gutiérrez, Pedro Antonio; Bagnall, Anthony J.; Hervás-Martínez, César (2020)

Modelling Survival by Machine Learning Methods in Liver Transplantation: Application to the UNOS Dataset. - Guijo-Rubio, David; Villalón-Vaquero, Pedro J.; Gutiérrez, Pedro Antonio; Ayllón-Terán, María Dolores; Briceño, Javier; Hervás-Martínez, César (2019)

A Hybrid Approach to Time Series Classification with Shapelets. - Guijo-Rubio, David; Gutiérrez, Pedro Antonio; Tavenard, Romain; Bagnall, Anthony J. (2019)

Hybrid Weighted Barebones Exploiting Particle Swarm Optimization Algorithm for Time Series Representation. - Durán-Rosal, Antonio Manuel; Guijo-Rubio, David; Gutiérrez, Pedro Antonio; Hervás-Martínez, César (2018)

Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction. - Guijo-Rubio, David; Durán-Rosal, Antonio Manuel; Gómez-Orellana, Antonio M.; Gutiérrez, Pedro Antonio; Hervás-Martínez, César (2018)

Time series clustering based on the characterisation of segment typologies. - Guijo-Rubio, David; Durán-Rosal, Antonio Manuel; Gutiérrez, Pedro Antonio; Troncoso, Alicia; Hervás-Martínez, César (CoRR, 2018)

A Coral Reef Optimization Algorithm for Wave Height Time Series Segmentation Problems. - Durán-Rosal, Antonio Manuel; Guijo-Rubio, David; Gutiérrez, Pedro Antonio; Salcedo-Sanz, Sancho; Hervás-Martínez, César (2017)

Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines. - Dorado-Moreno, Manuel; Durán-Rosal, Antonio Manuel; Guijo-Rubio, David; Gutiérrez, Pedro Antonio; Prieto, Luis; Salcedo-Sanz, Sancho; Hervás-Martínez, César (2016)