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

A Coral Reef Optimization Algorithm for Wave Height Time Series Segmentation Problems. - Antonio Manuel Durán-Rosal; David Guijo-Rubio; Pedro Antonio Gutiérrez; Sancho Salcedo-Sanz; César Hervás-Martínez (IWANN (1), 2017)

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

Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction. - David Guijo-Rubio; Antonio Manuel Durán-Rosal; Antonio M. Gómez-Orellana; Pedro Antonio Gutiérrez; César Hervás-Martínez (IDEAL (2), 2018)

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

A Hybrid Approach to Time Series Classification with Shapelets. - David Guijo-Rubio; Pedro Antonio Gutiérrez; Romain Tavenard; Anthony J. Bagnall (IDEAL (1), 2019)

Modelling Survival by Machine Learning Methods in Liver Transplantation: Application to the UNOS Dataset. - David Guijo-Rubio; Pedro J. Villalón-Vaquero; Pedro Antonio Gutiérrez; María Dolores Ayllón-Terán; Javier Briceño; César Hervás-Martínez (IDEAL (2), 2019)

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

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

Prediction of convective clouds formation using evolutionary neural computation techniques. - David Guijo-Rubio; Pedro Antonio Gutiérrez; Carlos Casanova-Mateo; Juan Carlos Fernández 001; Antonio M. Gómez-Orellana; Pablo Salvador-González; Sancho Salcedo-Sanz; César Hervás-Martínez (Neural Comput. Appl., 2020)

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

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

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

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

Gamifying the Classroom for the Acquisition of Skills Associated with Machine Learning: A Two-Year Case Study. - Antonio Manuel Durán-Rosal; David Guijo-Rubio; Víctor Manuel Vargas; Antonio M. Gómez-Orellana; Pedro Antonio Gutiérrez; Juan Carlos Fernández 001 (CISIS-ICEUTE, 2022)

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

Clustering of COVID-19 Time Series Incidence Intensity in Andalusia, Spain. - Miguel Díaz-Lozano; David Guijo-Rubio; Pedro Antonio Gutiérrez; César Hervás-Martínez (IWINAC (1), 2022)

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

COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain. - 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 (Expert Syst. Appl., 2022)

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

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

A Dictionary-Based Approach to Time Series Ordinal Classification. - Rafael Ayllón-Gavilán; David Guijo-Rubio; Pedro Antonio Gutiérrez; César Hervás-Martínez (IWANN (2), 2023)

Ordinal Classification Approach for Donor-Recipient Matching in Liver Transplantation with Circulatory Death Donors. - Marcos Rivera-Gavilán; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; Javier Briceño; César Hervás-Martínez; David Guijo-Rubio (IWANN (2), 2023)

Gramian Angular and Markov Transition Fields Applied to Time Series Ordinal Classification. - Víctor Manuel Vargas; Rafael Ayllón-Gavilán; Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez; César Hervás-Martínez; David Guijo-Rubio (IWANN (2), 2023)

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

An Evolutionary Artificial Neural Network approach for spatio-temporal wave height time series reconstruction. - David Guijo-Rubio; Antonio Manuel Durán-Rosal; Antonio M. Gómez-Orellana; Juan Carlos Fernández 001 (Appl. Soft Comput., 2023)

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

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

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

Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm. - Antonio M. Gómez-Orellana; Víctor Manuel Vargas; David Guijo-Rubio; Jorge Pérez-Aracil; Pedro Antonio Gutiérrez; Sancho Salcedo-Sanz; César Hervás-Martínez (IWINAC (2), 2024)

Energy Flux Prediction Using an Ordinal Soft Labelling Strategy. - Antonio M. Gómez-Orellana; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; Jorge Pérez-Aracil; Sancho Salcedo-Sanz; César Hervás-Martínez; David Guijo-Rubio (IWINAC (2), 2024)

Data Augmentation Techniques for Extreme Wind Prediction Improvement. - Marta Vega-Bayo; Antonio Manuel Gómez-Orellana; Víctor Manuel Vargas Yun; David Guijo-Rubio; Laura Cornejo-Bueno; Jorge Pérez-Aracil; Sancho Salcedo-Sanz (IWINAC (2), 2024)

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

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

aeon: a Python toolkit for learning from time series. - Matthew Middlehurst; Ali Ismail-Fawaz; Antoine Guillaume; Christopher Holder; David Guijo-Rubio; Guzal Bulatova; Leonidas Tsaprounis; Lukasz Mentel; Martin Walter; Patrick Schäfer 001; Anthony J. Bagnall (CoRR, 2024)

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

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

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

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

dlordinal: A Python package for deep ordinal classification. - Francisco Bérchez-Moreno; Rafael Ayllón-Gavilán; Víctor Manuel Vargas Yun; David Guijo-Rubio; César Hervás-Martínez; Juan Carlos Fernández 001; Pedro Antonio Gutiérrez (Neurocomputing, 2025)

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

TOC-UCO: a comprehensive repository of tabular ordinal classification datasets. - Rafael Ayllón-Gavilán; David Guijo-Rubio; Antonio Manuel Gómez-Orellana; Francisco Bérchez-Moreno; Víctor Manuel Vargas Yun; Pedro Antonio Gutiérrez (CoRR, 2025)