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David Guijo-Rubio
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2020 – today
- 2024
- [j9]David Guijo-Rubio
, Matthew Middlehurst, Guilherme Arcencio
Unsupervised feature based algorithms for time series extrinsic regression. Data Min. Knowl. Discov. 38(4): 2141-2185 (2024) - [j8]Antonio M. Gómez-Orellana, David Guijo-Rubio
ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target. Eng. Appl. Artif. Intell. 133: 108462 (2024) - [j7]Víctor Manuel Vargas
EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height. Knowl. Based Syst. 300: 112223 (2024) - [c26]Víctor Manuel Vargas Yun
Age Estimation Using Soft Labelling Ordinal Classification Approaches. CAEPIA 2024: 40-49 - [c25]Rafael Ayllón-Gavilán
O-Hydra: A Hybrid Convolutional and Dictionary-Based Approach to Time Series Ordinal Classification. CAEPIA 2024: 50-60 - [c24]Antonio M. Gómez-Orellana
Energy Flux Prediction Using an Ordinal Soft Labelling Strategy. IWINAC (2) 2024: 283-292 - [c23]Antonio M. Gómez-Orellana
Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm. IWINAC (2) 2024: 293-302 - [c22]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: 303-313 - [c21]Anthony J. Bagnall
A Hands-on Introduction to Time Series Classification and Regression. KDD 2024: 6410-6411 - [i7]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 abs/2401.15377 (2024) - [i6]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 abs/2406.14231 (2024) - [i5]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 abs/2407.17163 (2024) - 2023
- [j6]David Guijo-Rubio
An Evolutionary Artificial Neural Network approach for spatio-temporal wave height time series reconstruction. Appl. Soft Comput. 146: 110647 (2023) - [j5]Miguel Díaz-Lozano
Cluster analysis and forecasting of viruses incidence growth curves: Application to SARS-CoV-2. Expert Syst. Appl. 225: 120103 (2023) - [j4]Víctor Manuel Vargas
Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation. Inf. Sci. 648: 119606 (2023) - [c20]Christopher Holder, David Guijo-Rubio, Anthony J. Bagnall:
Clustering Time Series with k-Medoids Based Algorithms. AALTD@ECML/PKDD 2023: 39-55 - [c19]Christopher Holder, David Guijo-Rubio, Anthony J. Bagnall:
Barycentre Averaging for the Move-Split-Merge Time Series Distance Measure. KDIR 2023: 51-62 - [c18]Víctor Manuel Vargas
Gramian Angular and Markov Transition Fields Applied to Time Series Ordinal Classification. IWANN (2) 2023: 505-516 - [c17]Marcos Rivera-Gavilán
Ordinal Classification Approach for Donor-Recipient Matching in Liver Transplantation with Circulatory Death Donors. IWANN (2) 2023: 517-528 - [c16]Rafael Ayllón-Gavilán
A Dictionary-Based Approach to Time Series Ordinal Classification. IWANN (2) 2023: 541-552 - [i4]David Guijo-Rubio, Matthew Middlehurst, Guilherme Arcencio, Diego Furtado Silva, Anthony J. Bagnall:
Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression. CoRR abs/2305.01429 (2023) - [i3]Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez:
A Dictionary-based approach to Time Series Ordinal Classification. CoRR abs/2305.09288 (2023) - [i2]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 abs/2306.10084 (2023) - 2022
- [j3]Miguel Díaz-Lozano
COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain. Expert Syst. Appl. 207: 117977 (2022) - [c15]Antonio Manuel Durán-Rosal, David Guijo-Rubio, Víctor Manuel Vargas, Antonio M. Gómez-Orellana
Gamifying the Classroom for the Acquisition of Skills Associated with Machine Learning: A Two-Year Case Study. CISIS-ICEUTE 2022: 224-235 - [c14]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: 236-246 - [c13]Miguel Díaz-Lozano
Clustering of COVID-19 Time Series Incidence Intensity in Andalusia, Spain. IWINAC (1) 2022: 462-471 - [c12]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: 146-155 - 2021
- [j2]David Guijo-Rubio
Time-Series Clustering Based on the Characterization of Segment Typologies. IEEE Trans. Cybern. 51(11): 5409-5422 (2021) - [c11]Víctor Manuel Vargas
ReLU-Based Activations: Analysis and Experimental Study for Deep Learning. CAEPIA 2021: 33-43 - [c10]David Guijo-Rubio
Studying the Effect of Different Lp Norms in the Context of Time Series Ordinal Classification. CAEPIA 2021: 44-53 - [c9]Francisco J. Rodríguez-Lozano
Enhancing the ORCA framework with a new Fuzzy Rule Base System implementation compatible with the JFML library. FUZZ-IEEE 2021: 1-6 - 2020
- [j1]David Guijo-Rubio
Prediction of convective clouds formation using evolutionary neural computation techniques. Neural Comput. Appl. 32(17): 13917-13929 (2020) - [c8]David Guijo-Rubio
Time series ordinal classification via shapelets. IJCNN 2020: 1-8 - [c7]David Guijo-Rubio
Ordinal Versus Nominal Time Series Classification. AALTD@PKDD/ECML 2020: 19-29
2010 – 2019
- 2019
- [c6]David Guijo-Rubio
Modelling Survival by Machine Learning Methods in Liver Transplantation: Application to the UNOS Dataset. IDEAL (2) 2019: 97-104 - [c5]David Guijo-Rubio
A Hybrid Approach to Time Series Classification with Shapelets. IDEAL (1) 2019: 137-144 - 2018
- [c4]Antonio Manuel Durán-Rosal
Hybrid Weighted Barebones Exploiting Particle Swarm Optimization Algorithm for Time Series Representation. BIOMA 2018: 126-137 - [c3]David Guijo-Rubio
Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction. IDEAL (2) 2018: 171-179 - [i1]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 abs/1810.11624 (2018) - 2017
- [c2]Antonio Manuel Durán-Rosal
A Coral Reef Optimization Algorithm for Wave Height Time Series Segmentation Problems. IWANN (1) 2017: 673-684 - 2016
- [c1]Manuel Dorado-Moreno, Antonio Manuel Durán-Rosal
Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines. CAEPIA 2016: 300-309
Coauthor Index
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last updated on 2024-12-10 20:42 CET by the dblp team
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