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Año: 2024 (9)

M.L. Perálvarez et al.. "UTILIDAD DEL GENDER-EQUITY MODEL FOR LIVER ALLOCATION (GEMA) EN UN CONTEXTO DE ACORTAMIENTO DE LA LISTA DE ESPERA DE TRASPLANTE HEPÁTICO". 48.º Congreso Anual de la Asociación Española para el Estudio del Hígado. 2024. [Más] [Bibtex] [RIS] [MODS]
C.M. Marina, E. Lorente-Ramos, R. Ayllón-Gavilán, P.A. Gutiérrez, J. Pérez-Aracil y S. Salcedo-Sanz. "Multivariate-Autoencoder Flow-Analogue Method for Heat Waves Reconstruction". Advances in Artificial Intelligence. Junio. 2024. pp. 223–232. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Rodríguez-Perálvez et al.. "TOP-002 Validation of the gender-equity model for liver allocation (GEMA) in a nationwide cohort of liver transplant candidates in Spain". Journal of Hepatology. Junio. 2024. pp. S365-S366. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Rodríguez-Perálvez, A.M. Gómez-Orellana, D. Guijo-Rubio, P.A. Gutiérrez, A. Majumdar, G. McCaughan, R. Taylor, C. Hervás-Martínez y E. Tsochatzis. "OS-024 The gender-equity model for liver allocation built on artificial intelligence (GEMA-AI) improves outcome predictions among liver transplant candidates". Journal of Hepatology. Junio. 2024. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Gómez-Orellana, V.M. Vargas, P.A. Gutiérrez, J. Pérez-Aracil, S. Salcedo-Sanz, C. Hervás-Martínez y D. Guijo-Rubio. "Energy Flux Prediction Using an Ordinal Soft Labelling Strategy". Bioinspired Systems for Translational Applications: From Robotics to Social Engineering. Mayo. 2024. pp. 283–292. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Gómez-Orellana, V.M. Vargas, D. Guijo-Rubio, J. Pérez-Aracil, P.A. Gutiérrez, S. Salcedo-Sanz y C. Hervás-Martínez. "Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm". Bioinspired Systems for Translational Applications: From Robotics to Social Engineering. Mayo. 2024. pp. 293–302. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Vega-Bayo, A.M. Gómez-Orellana, V.M. Vargas, D. Guijo-Rubio, L. Cornejo-Bueno, J. Pérez-Aracil y S. Salcedo-Sanz. "Data Augmentation Techniques for Extreme Wind Prediction Improvement". Bioinspired Systems for Translational Applications: From Robotics to Social Engineering. Mayo. 2024. pp. 303–313. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
R. Ayllón-Gavilán, D. Guijo-Rubio, P.A. Gutiérrez y C. Hervás-Martínez. "O-Hydra: A Hybrid Convolutional and Dictionary-Based Approach to Time Series Ordinal Classification". Advances in Artificial Intelligence. Junio. 2024. CAEPIA. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
V.M. Vargas, A.M. Gómez-Orellana, D. Guijo-Rubio, F. Bérchez-Moreno, P.A. Gutiérrez y C. Hervás-Martínez. "Age Estimation Using Soft Labelling Ordinal Classification Approaches". Advances in Artificial Intelligence. Junio. 2024. CAEPIA. pp. 40-49. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2023 (10)

C. Holder, D. Guijo-Rubio y A. Bagnall. "Barycentre Averaging for the Move-Split-Merge Time Series Distance Measure". 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. 2023. pp. 51-62. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
C. Holder, D. Guijo-Rubio y A. Bagnall. "Clustering Time Series with k-Medoids Based Algorithms". Advanced Analytics and Learning on Temporal Data. 2023. pp. 39-55. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Rodríguez-Perálvarez, A.M. Gómez-Orellana, A. Majumdar, M. Bailey, G. McCaughan, P. Gow, M. Guerrero, R. Taylor, D. Guijo-Rubio, C. Hervás-Martínez y E. Tsochatzis. "Performance of the gender-equity model for liver allocation (GEMA-Na) within the first 30 and 60 days of listing". ILTS 2023 Joint International Congress of ILTS, ELITA and LICAGE, May 3-6, 2023.. 2023. Transplantation. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M.L. Perálvarez, A.M. Gómez-Orellana, A. Majumdar, M.D. Ayllón, P.A. Gutiérrez, P.B. Baena, D. Guijo-Rubio, C. Hervás-Martínez, M. de la Mata y E. Tsochatzis. "UTILIDAD DEL GENDER-EQUITY MODEL FOR LIVER ALLOCATION (GEMA) EN UN CONTEXTO DE ACORTAMIENTO DE LA LISTA DE ESPERA DE TRASPLANTE HEPÁTICO". 49.º Congreso Anual de la Asociación Española para el Estudio del Hígado. 2023. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
R. Ayllón-Gavilán, D. Guijo-Rubio, P.A. Gutiérrez y C. Hervás-Martínez. "A Dictionary-Based Approach to Time Series Ordinal Classification". IWANN 2023: Advances in Computational Intelligence. 2023. pp. 1-12. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Barbero-Gómez, R. Cruz, J.S. Cardoso, P.A. Gutiérrez y C. Hervás-Martínez. "Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models". IWANN 2023: Advances in Computational Intelligence. 2023. pp. 1-12. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Rivera-Gavilán, V.M. Vargas, P.A. Gutiérrez, J. Briceño, C. Hervás-Martínez y D. Guijo-Rubio. "Ordinal classification approach for donor-recipient matching in liver transplantation with circulatory death donors". IWANN 2023: Advances in Computational Intelligence. 2023. pp. 1-12. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
V.M. Vargas, R. Ayllón-Gavilán, A.M. Durán-Rosal, P.A. Gutiérrez, C. Hervás-Martínez y D. Guijo-Rubio. "Gramian Angular and Markov Transition Fields applied to Time Series Ordinal Classification". IWANN 2023: Advances in Computational Intelligence. 2023. pp. 1-12. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
R. Calleja et al.. "Emparejamiento donante-receptor durante la donación en asistolia controlada con perfusión regional normotérmica: papel de los clasificadores de machine learning como modelos predictivos de la supervivencia del injerto". 29o Congreso de la Sociedad Española de Trasplante Hepático (SETH). Noviembre. 2023. pp. 9. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Gómez-Orellana, M.L. Rodríguez-Perálvarez, D. Guijo-Rubio, M. Guerrero y C. Hervás-Martínez. "Corrección de la disparidad de género en el acceso al trasplante hepático". Ciencia Violeta. I Encuentro Científico sobre Investigación con Perspectiva de Género. Febrero. 2023. pp. 1-5. [Más] [Bibtex] [RIS] [MODS]

Año: 2022 (7)

R. Rosati, L. Romeo, V.M. Vargas, P.A. Gutiérrez, C. Hervás-Martínez, L. Bianchini, A. Capriotti, R. Capparuccia y E. Frontoni. "Predictive Maintenance of ATM machines by modelling Remaining Useful Life with Machine Learning techniques". Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022). September. 2022. Salamanca, Spain. Lecture Notes in Networks and Systems, vol. 531. pp. 239-249. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
R. Ayllón-Gavilán, D. Guijo-Rubio, P.A. Gutiérrez y C. Hervás-Martínez. "Assessing the Efficient Market Hypothesis for Cryptocurrencies with High-Frequency Data using Time Series Classification". Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022). September. 2022. Salamanca, Spain. Lecture Notes in Networks and Systems, vol. 531. pp. 146-155. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Rodríguez-Perálvez et al.. "Cumulative exposure to tacrolimus and incidence of cancer after liver transplantation". Abstracts of The International Liver CongressTM 2022. J. of Hepatology ed. June. 2022. London, United Kingdom. pp. 114. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Rodríguez-Perálvarez, A.M. Gómez-Orellana, A. Majumdar, G. McCaughan, P. Gow, D. Guijo-Rubio, C. Hervás-Martínez, M. Bailey y E. Tsochatzis. "Development and validation of the gender-equity model for liver allocation (GEMA) to prioritize liver transplant candidates". Abstracts of The International Liver CongressTM 2022. J. of Hepatology ed. June. 2022. London, United Kingdom. pp. 3-4. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Díaz-Lozano, D. Guijo-Rubio, P.A. Gutiérrez y C. Hervás-Martínez. "Clustering of COVID-19 Time Series Incidence Intensity in Andalusia, Spain". Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence (Proceedings of the 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022). May. 2022. Tenerife, Spain. Lecture Notes in Computer Science (LNCS), vol. 13259. pp. 462-471. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, V.M. Vargas, J. Barbero-Gómez, J.V. Die y P. González-Moreno. "Hackathon in teaching: applying machine learning to Life Sciences tasks". Proceedings of the 13th International Conference on European Transnational Education (ICEUTE 2022). 5th - 7th September. 2022. Lecture Notes in Networks and Systems, vol. 532. pp. 236-246. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, D. Guijo-Rubio, V.M. Vargas, A.M. Gómez-Orellana, P.A. Gutiérrez y J.C. Fernández. "Gamifying the classroom for the acquisition of skills associated with Machine Learning: a two-year case study". Joint Conference 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022), 13th International Conference on EUropean Transnational Education (ICEUTE 2022). 5th - 7th September. 2022. Universidad de Salamanca (Salamanca, España). Lecture Notes in Networks and Systems, vol. 532. pp. 224-235. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2021 (5)

B. Amiri, A.M. Gómez-Orellana, P.A. Gutiérrez, K. Dahmani y R. Dizène. "Multilayer Perceptron and Cascade Forward Neural Network for Short-term Tilted Irradiation Estimation in Algerian Sahara". The First International Conference on Renewable Energy Advanced Technologies and Applications (ICREATA'21). 25th-27th October. 2021. Research Unit for Renewable Energies in Saharan Region, Adrar. pp. 116-117. [Más] [Bibtex] [RIS] [MODS]
J. Barbero-Gómez, P.A. Gutiérrez y C. Hervás-Martínez. "Error-correcting output codes in the framework of deep ordinal classification". 2021 International Work-conference on Artificial Neural Networks (IWANN 2021). 16nd-18th June. 2021. Online. Lecture Notes in Computer Science (LNCS), vol. 12862. pp. 3-13. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, V.M. Vargas, P.A. Gutiérrez y C. Hervás-Martínez. "Studying the effect of different Lp norms in the context of Time Series Ordinal Classification". Proceedings of the XIX Conference of the Spanish Association for Artificial Intelligence (CAEPIA). 22nd-24th September. 2021. Malaga, Spain. Lecture Notes in Artificial Intelligence (LNAI), vol. 12882. pp. 44-53. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
V.M. Vargas, D. Guijo-Rubio, P.A. Gutiérrez y C. Hervás-Martínez. "ReLU-based activations: analysis and experimental study for deep learning". Proceedings of the XIX Conference of the Spanish Association for Artificial Intelligence (CAEPIA). 22nd-24th September. 2021. Malaga, Spain. Lecture Notes in Artificial Intelligence (LNAI), vol. 12882. pp. 33-43. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F.J. Rodriguez-Lozano, D. Guijo-Rubio, P.A. Gutiérrez, J.M. Soto-Hidalgo y J.C. Gámez-Granados. "Enhancing the ORCA framework with a new Fuzzy Rule Base System implementation compatible with the JFML library". Proceedings of the IEEE International Conference on Fuzzy Systems (Fuzz-IEEE2021). IEEE ed. 11th-14th July. 2021. Luxembourg, Luxembourg. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2020 (3)

A. Martín, R. Lara-Cabrera, V.M. Vargas, P.A. Gutiérrez, C. Hervás-Martínez y D. Camacho. "Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks". Proceedings of the 2020 IEEE Congress on Evolutionary Computation (CEC2020). 19th-24th July. 2020. Glasgow, UK. pp. 1-8. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, P.A. Gutiérrez, A. Bagnall y C. Hervás-Martínez. "Ordinal versus nominal time series classification". Proceedings of the 5th Workshop on Advances Analytics and Learning on Temporal Data. Springer ed. 18th September. 2020. Ghent, Belgium. Lecture Notes in Artificial Intelligence (LNAI), vol. 12588. pp. 19-29. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, P.A. Gutiérrez, A. Bagnall y C. Hervás-Martínez. "Time series ordinal classification via shapelets". Proceedings of the 2020 IEEE International Joint Conference on Neural Networks (IJCNN2020). 19th-24th July. 2020. Glasgow, UK. pp. 1-8. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2019 (6)

M. Dorado-Moreno, P.A. Gutiérrez y C. Hervás-Martínez. "Predicción ordinal de rampas de viento usando Echo State Networks de complejidad reducida". VII Congreso Científico de Investigadores en Formación. 6th-7th Febreaury. 2019. Córdoba, Spain. Creando Redes Doctorales Vol. VII: Investiga y Comunica, vol. III. pp. 629-632. [Más] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, P.J. Villalón-Vaquero, P.A. Gutiérrez, M.D. Ayllón, J. Briceño y C. Hervás-Martínez. "Modelling survival by machine learning methods in liver transplantation: application to the UNOS dataset". Proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2019). 14th-16th November. 2019. Manchester, UK. Lecture Notes in Computer Science (LNCS), vol. 11872. pp. 97-104. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, P.A. Gutiérrez, R. Tavenard y A. Bagnall. "A hybrid approach to time series classification with shapelets". Proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2019). 14th-16th November. 2019. Manchester, UK. Lecture Notes in Computer Science (LNCS), vol. 11871. pp. 137-144. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
B. Amiri, A.M. Gómez-Orellana, P.A. Gutiérrez, R. Dizéne, C. Hervás-Martínez y D. Kahina. "Ten Minutes Solar Irradiation Forecasting on Inclined Plane using Evolutionary Product Unit Neural Networks". Proceedings of the 2019 International Conference of Computer Science and Renewable Energies (ICCSRE). 22th-24th July. 2019. Agadir, Morocco. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
V.M. Vargas, P.A. Gutiérrez y C. Hervás-Martínez. "Deep Ordinal Classification Based on the Proportional Odds Model". Proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation (IWINAC 2019). 3-7 junio. 2019. Almería (España). Lecture Notes in Computer Science (LNCS), vol. 11487. pp. 441-451. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P. Tino, R. Mantiuk y C. Hervás-Martínez. "Exploiting synthetically generated data with semi-supervised learning for small and imbalanced datasets". Proceedings of the Thirty-Third AAAI (Association for the Advancement of Artificial Intelligence) Conference on Artificial Intelligence (AAAI'19). 27th February. 2019. Honolulu,Hawaii, USA. pp. 4715-4722. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2018 (12)

A. Mikhailiuk, M. Pérez-Ortiz y R.K. Mantiuk. "Psychometric scaling of TID2013 dataset". International Conference on Quality of Multimedia Experience. 2018. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, P.A. Gutiérrez y C. Hervás-Martínez. "Detección y predicción de segmentos de altura de olas extremas". VI Congreso Cientı́fico de Investigadores en Formación. U. E. de Córdoba ed. 24th-26th January. 2018. Córdoba, Spain. Creando Redes Doctorales: La generación del conocimiento, vol. 6. pp. 509-512. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, A.M. Durán-Rosal, P.A. Gutiérrez, A. Troncoso y C. Hervás-Martínez. "Time series clustering based on the characterisation of segment typologies". Proceedings of Third Bilbao Data Science Workshop (BiDAS 3). 8th-9th November. 2018. Bilbao (Spain). [Más] [Bibtex] [RIS] [MODS]
A. Nikolaou, P.A. Gutiérrez, A.M. Durán-Rosal, F. Fernandez-Navarro, C. Hervás-Martínez y M. Pérez-Ortiz. "Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm". Proceedings of the 2018 European Planetary Science Congress. 16th-21st September. 2018. Berlin (Germany). EPSC2018-829-1, vol. 12. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, A.M. Durán-Rosal, A. Gómez-Orellana, P.A. Gutiérrez y C. Hervás-Martínez. "Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction". Proceedings of the 2018 International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2018). 21st-23rd November. 2018. Madrid, Spain. Lecture Notes in Computer Science (LNCS), vol. 11315. pp. 171-179. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Dorado-Moreno, P.A. Gutiérrez, S. Salcedo-Sanz, L. Prieto y C. Hervás-Martínez. "Predicción ordinal de rampas de viento usando Echo State Networks de complejidad reducida". Proceedings of the 2018 Conference of the Spanish Association for Artificial Intelligence (CAEPIA2018). 23rd-26th October. 2018. Granada (Spain). pp. 132-138. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Diaz-Lozano, D. Guijo-Rubio, P.A. Gutiérrez, C. Casanova-Mateo, S. Salcedo-Sanz y C. Hervás-Martínez. "Algoritmos de aprendizaje automático para predicción de niveles de niebla usando ventanas estáticas y dinámicas". Proceedings of the 2018 Conference of the Spanish Association for Artificial Intelligence (CAEPIA2018). 23rd-26th October. 2018. Granada (Spain). pp. 833-838. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Camacho-Cañamón, M.-V. Guiote, A.-M. Santos-Bueno, E. Rodrı́guez-Cáceres, E. Carmona-Asenjo, J.-A. Vallejo-Casas, P.A. Gutiérrez y C. Hervás-Martínez. "Clasificación ordinal de los grados de afectación de la enfermedad de Parkinson empleando imágenes de transportadores presinápticos de dopamina". Proceedings of the 2018 Conference of the Spanish Association for Artificial Intelligence (CAEPIA2018). 23rd-26th October. 2018. Granada (Spain). pp. 167-172. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, P.A. Gutiérrez, S. Salcedo-Sanz y C. Hervás-Martínez. "An Empirical Validation of a New Memetic CRO Algorithm for the Approximation of Time Series". Proceedings of the 2018 Conference of the Spanish Association for Artificial Intelligence (CAEPIA2018). 23rd-28th September. 2018. Granada (Spain). Lecture Notes in Computer Science, vol. 11160. pp. 209-218. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Dorado-Moreno, P.A. Gutiérrez, S. Salcedo-Sanz, L. Prieto y C. Hervás-Martínez. "Wind power ramp events ordinal prediction using minimum complexity echo state networks". Proceedings of the 2018 International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2018). 21st-23rd November. 2018. Madrid, Spain. Lecture Notes in Computer Science (LNCS), vol. 11315. pp. 180-187. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, D. Guijo-Rubio, P.A. Gutiérrez y C. Hervás-Martínez. "Hybrid Weighted Barebones Exploiting Particle Swarm Optimization Algorithm for Time Series Representation". Bioinspired Optimization Methods and their Applications (BIOMA2018). 16th-18th May. 2018. Paris (France). Lecture Notes in Computer Science (LNCS), vol. 10835. pp. 126-137. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, P. Tino, C. Casanova-Mateo y S. Salcedo-Sanz. "A mixture of experts model for predicting persistent weather patterns". Proceedings of the 2018 IEEE International Joint Conference on Neural Networks (IJCNN 2018). 8th-13th July. 2018. Rio (Brazil). pp. 5714-5721. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2017 (13)

R. Cruz, K. Fernandes, J.F. Costa, M. Pérez-Ortiz y J.S. Cardoso. "Ordinal Class Imbalance with Ranking". Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2017). 2017. Lecture Notes in Computer Science, vol. 10255. pp. 3-12. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
R. Cruz, K. Fernandes, J.F. Costa, M. Pérez-Ortiz y J.S. Cardoso. "Combining Ranking with Traditional Methods for Ordinal Class Imbalance". International Work Conference on Artificial Neural Networks (IWANN2017). 2017. Lecture Notes in Computer Science, vol. 10306. pp. 538-548. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, K. Fernandes, R. Cruz, J.S. Cardoso, J. Briceño y C. Hervás-Martínez. "Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation". IWANN 2017. 2017. Lecture Notes in Computer Science, vol. 10306. pp. 525-537. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero, M. Pérez-Ortiz, A. Sáez, P.A. Gutiérrez y C. Hervás-Martínez. "Advanced feature extraction and machine learning models to melanoma and Breslow index detection". 8th IMIBIC Young Investigators Meeting. 30-31th May. 2017. Córdoba, Spain. pp. 131. [Más] [Bibtex] [RIS] [MODS]
J. Camacho-Cañamón, M.V. Guiote-Moreno, A.M. Santos-Bueno, E. Rodríguez-Cáceres, E. Carmona-Asenjo, J.A. Vallejo-Casas, P.A. Gutiérrez y C. Hervás-Martínez. "Image classification of synaptic dopamine transporters 123I-Ioflupane by machine learning techniques". 8th IMIBIC Young Investigators Meeting. 30-31th May. 2017. Córdoba, Spain. pp. 88. [Más] [Bibtex] [RIS] [MODS]
J. Camacho-Cañamón, M.V. Guiote, A.M. Bueno, E. Rodríguez-Cáceres, E.C. Asenjo, J.A. Casas, P.A. Gutiérrez y C. Hervás-Martínez. "Image classification of synaptic dopamine transporters 123I-Ioflupane by machine learning techniques". Proceedings of the 2017 Annual Congress of the European Association of Nuclear Medicine (EANM17). 21st-25th October. 2017. Vienna, Austria. European Journal of Nuclear Medicine and Molecular Imaging, vol. 44. pp. S285-S286. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Camacho-Cañamón, V.G. Moreno, A.S. Bueno, E. Rodríguez-Cáceres, E.C. Asenjo, J.A. Casas, P.A. Gutiérrez y C. Hervás-Martínez. "Clasificación de imágenes de transportadores sinápticos de dopamina con 123I-Ioflupano mediante técnicas de aprendizaje automático". 36.º Congreso de la Sociedad Española de Medicina Nuclear e Imagen Molecular. 24th-26th October. 2017. Palma de Mallorca (Spain). Revista Española de Medicina Nuclear e Imagen Molecular, vol. Sup 1. pp. 5. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Camacho-Cañamón, M.J. Carreira, P.A. Gutiérrez y R. Iglesias-Rey. "Estimating rodent brain volume by a deformable contour model". Annual Conference on Medical Image Understanding and Analysis ( MIUA 2017). 11th-13th July. 2017. Edinburgh, United Kingdom. Communications in Computer and Information Science (CCIS), vol. 723. pp. 686-697. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez, M. Pérez-Ortiz y A. Suárez. "Class switching ensembles for ordinal regression". 14th International Work-Conference on Artificial and Natural Neural Networks (IWANN2017). 14th-16th June. 2017. Cádiz, Spain. Lecture Notes in Computer Science (LNCS), vol. 10305. pp. 408-419. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F.J. Maestre-García, C. García-Martínez, M. Pérez-Ortiz y P.A. Gutiérrez. "An iterated greedy algorithm for improving the generation of synthetic patterns in imbalanced learning". 14th International Work-Conference on Artificial and Natural Neural Networks (IWANN2017). 14th-16th June. 2017. Cádiz, Spain. Lecture Notes in Computer Science (LNCS), vol. 10305. pp. 513-524. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, P.A. Gutiérrez, F.J. Martínez-Estudillo y C. Hervás-Martínez. "Multiobjective time series segmentation by improving clustering quality and reducing approximation error". Proceeding of the Metaheuristics International Conference (MIC 2017) and the XII Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2017) Conference. 4th-7th June. 2017. Barcelona. pp. 920-922. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, D. Guijo-Rubio, P.A. Gutiérrez, S. Salcedo-Sanz y C. Hervás-Martínez. "A coral reef optimization algorithm for wave height time series segmentation problems". 14th International Work-Conference on Artificial and Natural Neural Networks (IWANN2017). 14th-16th June. 2017. Cádiz (Spain). Lecture Notes in Computer Science (LNCS), vol. 10305. pp. 673-684. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Dorado-Moreno, L. Cornejo-Bueno, P.A. Gutiérrez, L. Prieto, S. Salcedo-Sanz y C. Hervás-Martínez. "Combining Reservoir Computing and Over-Sampling for Ordinal Wind Power Ramp Prediction". 14th International Work-Conference on Artificial and Natural Neural Networks (IWANN2017). 14th-16th June. 2017. Cádiz, Spain. Lecture Notes in Computer Science (LNCS), vol. 10305. pp. 708-719. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2016 (16)

J. Camacho-Cañamón. "Sistema automático para el cálculo de volumen de infarto cerebral a partir de imágenes de resonancia magnética". Investigando por un futuro mejor. 2016. pp. 196-200. [Más] [Bibtex] [RIS] [MODS]
J.M. Dueñas-Jurado, P.A. Gutiérrez, F. Santos-Luna, A. Salvatierra-Velázquez y C. Hervás-Martínez. "Nuevos modelos de asignación donante-receptor en el trasplante pulmonar". XXXI Reunión Nacional de Coordinadores de Transplantes. 2016. [Más] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero, M. Pérez-Ortiz, A. Sáez, P.A. Gutiérrez y C. Hervás-Martínez. "Machine learning decomposition models for partial ordering problems: An application to melanoma severity classification". Proceedings of the 1st Workshop on Advances and Applications of Data Science & Engineering. 2016. pp. 113-118. [Más] [Bibtex] [RIS] [MODS]
D. Becerra-Alonso, M. Carbonero-Ruz y F. Fernandez-Navarro. "Using Extreme Learning Machines to cluster supervised data before classification". NoLineal 2016. Book of abstracts. 2016. Universidad de Sevilla. Talks, part 1: Theory and Computation. pp. 19. [Más] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, J.C. Fernández, P.A. Gutiérrez y C. Hervás-Martínez. "Hybridization of neural network models for the prediction of extreme significant wave height segments". 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016). 6th-9th December. 2016. Athens, Greece. pp. 1-8. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, M. Carbonero-Ruz y C. Hervás-Martínez. "Adapting Linear Discriminant Analysis to the Paradigm of Learning from Label Proportions". 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016). 6th-9th December. 2016. Athens, Greece. pp. 1-7. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, J.M. Peña, J. Torres-Sánchez, F. López-Granados y C. Hervás-Martínez. "Machine Learning paradigms for Weed Mapping via Unmanned Aerial Vehicles". 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016). 6th-9th December. 2016. Athens, Greece. pp. 1-8. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Dorado-Moreno, A.M. Durán-Rosal, D. Guijo-Rubio, P.A. Gutiérrez, L. Prieto, S. Salcedo-Sanz y C. Hervás-Martínez. "Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines". Proceedings of the 17th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2016). 14th-16th September. 2016. Salamanca (Spain). Lecture Notes in Computer Science (LNCS), vol. 9868. pp. 300-309. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, M. Carbonero-Ruz y C. Hervás-Martínez. "Learning from Label Proportions via an Iterative Weighting Scheme and Discriminant Analysis". Proceedings of the 17th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2016). Septiembre, 2016. 2016. Salamanca, Spain. Lecture Notes on Computer Science (LNCS), vol. 9868. pp. 79-88. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, M. Dorado-Moreno, P.A. Gutiérrez y C. Hervás-Martínez. "On the Use of the Beta Distribution for a Hybrid Time Series Segmentation Algorithm". Proceedings of the 17th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2016). 14th-16th September. 2016. Salamanca (Spain). Lecture Notes in Computer Science (LNCS), vol. 9868. pp. 418-427. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Dorado-Moreno, M. Pérez-Ortiz, M.D. Ayllón-Terán, P.A. Gutiérrez y C. Hervás-Martínez. "Ordinal Evolutionary Artificial Neural Networks for Solving an Imbalanced Liver Transplantation Problem". 11th International Conference on Hybrid Artificial Intelligent Systems (HAIS2016). 18th-20th April. 2016. Seville (Spain). Lecture Notes in Computer Science (LNCS), vol. 9648. pp. 451-462. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, P.A. Gutiérrez, F.J. Martínez-Estudillo y C. Hervás-Martínez. "Time Series Representation by a Novel Hybrid Segmentation Algorithm". 11th International Conference on Hybrid Artificial Intelligent Systems (HAIS2016). 18th-20th April. 2016. Sevilla (Spain). Lecture Notes in Computer Science, vol. 9648. pp. 163-173. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, M. Torres-Jiménez, P.A. Gutiérrez, J. Sánchez-Monedero y C. Hervás-Martínez. "Fisher Score-Based Feature Selection for Ordinal Classification: A Social Survey on Subjective Well-Being". 11th International Conference on Hybrid Artificial Intelligent Systems (HAIS2016). 18th-20th April. 2016. Seville (Spain). Lecture Notes in Computer Science (LNCS), vol. 9648. pp. 597-608. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero, A. Sáez, M. Pérez-Ortiz, P.A. Gutiérrez y C. Hervás-Martínez. "Classification of Melanoma Presence and Thickness Based on Computational Image Analysis". 11th International Conference on Hybrid Artificial Intelligent Systems (HAIS2016). 18th-20th April. 2016. Seville (Spain). Lecture Notes in Computer Science (LNCS), vol. 9648. pp. 427-438. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez, M. Pérez-Ortiz, J. Sánchez-Monedero y C. Hervás-Martínez. "Representing ordinal input variables in the context of ordinal classification". IEEE International Joint Conference on Neural Networks (IJCNN2016). 24th-29th July. 2016. Vancouver, BC, Canada. pp. 2174-2181. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, A. Saez, J. Sánchez-Monedero, P.A. Gutiérrez y C. Hervás-Martínez. "Tackling the ordinal and imbalance nature of a melanoma image classification problem". IEEE International Joint Conference on Neural Networks (IJCNN2016). 24th-29th July. 2016. Vancouver, BC, Canada. pp. 2156-2163. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2015 (10)

M. Torres-Jiménez, C. Hervás-Martínez, C. García-Alonso y S. Millán. "Evolutionary product unit logistic regression: The case of agrarian efficiency". Conferencia de la Asociación Española para la Inteligencia Articial (CAEPIA 2015). 2015. pp. 92-102. [Más] [Bibtex] [RIS] [MODS]
P. Gomez-Rey, E. Barbera-Gregori y F. Fernandez-Navarro. "Operalizionalizing the capability approach in online learning". ICERI 2015: 8th annual International Conference of Education, Research and Innovation. 2015. pp. 8200–8207. [Más] [Bibtex] [RIS] [MODS]
P. Gómez-Rey, E. Barbera-Gregori y F. Fernandez-Navarro. "Measuring quality in online programs using learners' perceptions". ICDE 2015: The 26th ICDE World Conference. 2015. [Más] [Bibtex] [RIS] [MODS]
D. Urzagasti, D. Becerra-Alonso, L.M. Pérez, H.L. Mancini y D. Laroze. "Hyper-Chaotic and Chaotic Synchronisation of Two Interacting Dipoles". Proceedings of the 3rd Dynamics Days, Springer Proceedings in Physics. 3-7 November 2014. 2015. South America, Valparaiso. pp. 261-272. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P. Gómez-Rey, F. Fernandez-Navarro y E. Barbera-Gregori. "Characterising the success factors on distance education using the Hofstede Cultural Framework". Edulearn 2015: 7th annual International Conference on Education and New Learning Technologies. Julio. 2015. pp. 1201–1210. [Más] [Bibtex] [RIS] [MODS]
M. Dorado-Moreno, P.A. Gutiérrez, J. Sánchez-Monedero y C. Hervás-Martínez. "Overcoming the linearity of Ordinal Logistic Regression adding non-linear covariates from Evolutionary Hybrid Neural Network models". 16th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2015). 09th-12th November. 2015. Albacete (Spain). Lecture Notes in Computer Science (LNCS), vol. 9422. pp. 301-311. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez, J.C. Fernández, M. Pérez-Ortiz, L. Cornejo-Bueno, E. Alexandre-Cortizo, S. Salcedo-Sanz y C. Hervás-Martínez. "Energy Flux Range Classification by Using a Dynamic Window Autoregressive Model". 13th International Work-Conference on Artificial Neural Networks (IWANN 2015). 10th-12th June. 2015. Palma de Mallorca (Spain). Lecture Notes in Computer Science (LNCS), vol. 9095. pp. 92-102. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, J.M. Peña, J. Torres-Sánchez, C. Hervás-Martínez y F.L. Granados. "An experimental comparison for the identification of weeds in sunflower crops via unmanned aerial vehicles and object-based analysis". 13th International Work-Conference on Artificial Neural Networks (IWANN 2015). 10th-12th June. 2015. Palma de Mallorca (Spain). Lecture Notes in Computer Science, vol. 9094. pp. 252-262. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, M. de la Paz Marín, P.A. Gutiérrez y C. Hervás-Martínez. "Applying a Hybrid Algorithm to the Segmentation of the Spanish Stock Market Index Time Series". 13th International Work-Conference on Artificial Neural Networks (IWANN 2015). 10th-12th June. 2015. Palma de Mallorca (Spain). Lecture Notes in Computer Science, vol. 9095. pp. 69-79. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Dorado-Moreno, P.A. Gutiérrez, J. Sánchez-Monedero y C. Hervás-Martínez. "Nonlinear Ordinal Logistic Regression using covariates obtained by Radial Basis Function neural networks models". 13th International Work-Conference on Artificial Neural Networks (IWANN 2015). 10th-12th June. 2015. Palma de Mallorca (Spain). Lecture Notes in Computer Science (LNCS), vol. 9095. pp. 80-91. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2014 (8)

M. Salazar-Ordóñez, M. Rodríguez-Entrena y D. Becerra-Alonso. "Willingness to purchase Genetically Modified food: an analysis applying artificial Neural Networks". Proceedings of the EAAI 2014 Congress ‘Agri-Food and Rural Innovations for Healthier Societies’. August. 2014. Ljubljana, Slovenia. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Cruz-Ramírez, M. de la Paz Marín, M. Pérez-Ortiz y C. Hervás-Martínez. "Time series segmentation and statistical characterisation of the Spanish stock market Ibex-35 index". Proceedings of the 9th International Conference on Hybrid Artificial Intelligence Systems (HAIS2014). 2014. Lecture Notes in Computer Science, vol. 8480. pp. 74-85. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez y C. Hervás-Martínez. "Incorporating privileged information to improve manifold ordinal regression". 6th International Conference on Neural Computation Theory and Applications (NCTA2014). 22th-24th October. 2014. Roma (Italy). pp. 187-194. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez y C. Hervás-Martínez. "Learning Kernel Label Decompositions for Ordinal Classification Problems". 6th International Conference on Neural Computation Theory and Applications (NCTA2014). 22th-24th October. 2014. Roma (Italy). pp. 218-225. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, J. Sánchez-Monedero, C. Hervás-Martínez, A. Nikolaou, I. Dicaire y F. Fernandez-Navarro. "Time series segmentation of paleoclimate tipping points by an evolutionary algorithm". 9th International Conference on Hybrid Artificial Intelligence Systems (HAIS2014). 11th-13th September. 2014. Salamanca (Spain). Lecture Notes in Computer Science, vol. 8480. pp. 318-329. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez y C. Hervás-Martínez. "Log-gamma distribution optimisation via maximum likelihood for ordered probability estimates". 9th International Conference on Hybrid Artificial Intelligence Systems (HAIS2014). 11th-13th June. 2014. Salamanca (Spain). Lecture Notes in Computer Science (LNCS), vol. 8480. pp. 454-465. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F. Tang, P. Tino, P.A. Gutiérrez y H. Chen. "Support Vector Ordinal Regression using Privileged Information". Proceedings of the 2014 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN2014). 23th-25th April. 2014. Bruges, Belgium. pp. 253-258. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Rodriguez-Perálvarez, M. Cruz-Ramírez, E. Tsochatzis, C. García-Caparrós, P.A. Gutiérrez, G. Pieri, M. Pérez-Ortiz, J.L. Montero-Álvarez, A. Poyato, J. Briceño, A. Burroughs, C. Hervás-Martínez y M. de la Mata. "Utilidad de los modelos de aprendizaje automático para la predicción de la recidiva del hepatocarcinoma tras el trasplante hepático". Congreso de la Asociación Española para el Estudio del Hígado. Febrero, 2014. 2014. Gastroenterologia y Hepatologia, vol. 37. pp. 94. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2013 (1)

M.D. Ayllón, R. Ciria, R. Valente, M. Cruz-Ramírez, M. Pérez-Ortiz, R. Orti, C. Hervás-Martínez, M. Rela, N. Heaton, M. de la Mata y J. Briceño. "Validación externa de un modelo de asignación de redes neuronales en la asignación donante-receptor en trasplante hepático". XXIV Congreso de la Sociedad Española de Trasplante Hepático. 2013. [Más] [Bibtex] [RIS] [MODS]

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