Year: 2016 (17)


• P. Gómez-Rey, F. Fernandez-Navarro and E. Barbera-Gregori. "Ordinal Regression by a Gravitational Model in the field of Educational Data Mining", Expert Systems, Vol. 33(2). 2016, pp. 161-175. JCR(2015): 0.947 Position: 57/105 (Q3) Category: COMPUTER SCIENCE, THEORY & METHODS. [More] [Bibtex] [RIS] [MODS]
• A. Castaño-Méndez, F. Fernandez-Navarro, A. Riccardi and C. Hervás-Martínez. "Enforcement of the principal component analysis–extreme learning machine algorithm by linear discriminant analysis", Neural Computing and Applications, Vol. 27(6). 2016, pp. 1749–1760. JCR(2016): 2.505 Position: 40/133 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE.. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, P.A. Gutiérrez, J. Sánchez-Monedero and C. Hervás-Martínez. "A study on multi-scale kernel optimisation via centered kernel-target alignment", Neural Processing Letters, Vol. 44(2). 2016, pp. 491-517. JCR(2016): 1.620 Position: 74/133 (Q3) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [More] [Bibtex] [RIS] [MODS]
• M. Dorado-Moreno, A. Sianes and C. Hervás-Martínez. "From outside to hyper-globalisation: an Artificial Neural Network ordinal classifier to measure the extent of globalisation", Quality & Quantity. 2016. JCR(2016): 1.094 Position: 51/124 (Q2) Category: STATISTICS & PROBABILITY. [More] [Bibtex] [RIS] [MODS]
• J. Camacho-Cañamón, M.J. Carreira and P.A. Gutiérrez. "ICBrain: Software para cálculo del volumen de infarto cerebral provocado en roedores", Patent 03/2016/1359, 2016-11-17. [More] [Bibtex] [RIS] [MODS]
• A.M. Durán-Rosal, J.C. Fernández, P.A. Gutiérrez and 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. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, P.A. Gutiérrez, M. Carbonero-Ruz and 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. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, P.A. Gutiérrez, J.M. Peña, J. Torres-Sánchez, F. López-Granados and 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. [More] [Bibtex] [RIS] [MODS]
• M. Dorado-Moreno, A.M. Durán-Rosal, D. Guijo-Rubio, P.A. Gutiérrez, L. Prieto, S. Salcedo-Sanz and 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. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, P.A. Gutiérrez, M. Carbonero-Ruz and 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. [More] [Bibtex] [RIS] [MODS]
• A.M. Durán-Rosal, M. Dorado-Moreno, P.A. Gutiérrez and 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. [More] [Bibtex] [RIS] [MODS]
• M. Dorado-Moreno, M. Pérez-Ortiz, M.D. Ayllón-Terán, P.A. Gutiérrez and 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. [More] [Bibtex] [RIS] [MODS]
• A.M. Durán-Rosal, P.A. Gutiérrez, F.J. Martínez-Estudillo and 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. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, M. Torres-Jiménez, P.A. Gutiérrez, J. Sánchez-Monedero and 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. [More] [Bibtex] [RIS] [MODS]
• J. Sánchez-Monedero, A. Sáez, M. Pérez-Ortiz, P.A. Gutiérrez and 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. [More] [Bibtex] [RIS] [MODS]
• P.A. Gutiérrez, M. Pérez-Ortiz, J. Sánchez-Monedero and 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. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, A. Saez, J. Sánchez-Monedero, P.A. Gutiérrez and 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. [More] [Bibtex] [RIS] [MODS]

Year: 2015 (8)

• D. Urzagasti, D. Becerra-Alonso, L.M. Pérez, H.L. Mancini and D. Laroze. "Hyper-chaotic Magnetisation Dynamics of Two Interacting Dipoles", Journal of Low Temperature Physics, Vol. 181(5), December, 2015, pp. 211–222. JCR(2015): 0.787 Position: 120/145 (Q4) Category: PHYSICS, APPLIED. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, P.A. Gutiérrez, C. Hervás-Martínez and X. Yao. "Graph-Based Approaches for Over-sampling in the context of Ordinal Regression", IEEE Transactions on Knowledge and Data Engineering, Vol. 27(5), May, 2015, pp. 1233-1245. JCR(2015): 2.476 Position: 17/143 (Q1) Category: COMPUTER SCIENCE, INFORMATION SYSTEMS. [More] [Bibtex] [RIS] [MODS]
• A. Nikolaou, P.A. Gutiérrez, A.M. Durán-Rosal, I. Dicaire, F. Fernandez-Navarro and C. Hervás-Martínez. "Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm", Climate Dynamics, Vol. 44(7--8), April, 2015, pp. 1919-1933. JCR (2015): 4.708 Position: 8/84 (Q1) Category: METEOROLOGY & ATMOSPHERIC SCIENCES. [More] [Bibtex] [RIS] [MODS]
• F. Tang, P. Tino, P.A. Gutiérrez and H. Chen. "The Benefits of Modelling Slack Variables in SVMs", Neural Computation, Vol. 27(4), April, 2015, pp. 954-981. JCR (2015): 1.626 Position: 57/130 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [More] [Bibtex] [RIS] [MODS]
• M. de la Paz Marín, P.A. Gutiérrez and C. Hervás-Martínez. "Classification of countries' progress toward a knowledge economy based on machine learning classification techniques", Expert Systems with Applications, Vol. 42(1), January, 2015, pp. 562-572. JCR(2015): 2.981 Position: 6/82 (Q1) Category: OPERATIONS RESEARCH & MANAGEMENT SCIENCE. [More] [Bibtex] [RIS] [MODS]
• J.A. Salinas-Pérez, M.L. Rodero-Cosano, C. García-Alonso and L. Salvador-Carulla. "Applying an Evolutionary Algorithm for the Analysis of Mental Disorders in Macro-urban Areas: The Case of Barcelona.", Spatial Economic Analysis, Vol. 10(3). 2015, pp. 270-288. JCR(2015): 0.818 Position: 177/345 (Q3) Category: ECONOMICS. [More] [Bibtex] [RIS] [MODS]
• M. Torres-Jiménez, C. García-Alonso, J. Sánchez-Monedero, S. Millán-Lara and C. Hervás-Martínez. "Logistic evolutionary product-unit neural network classifier: the case of agrarian efficiency", Progress in Artificial Intelligence, Vol. 4(3--4). 2015, pp. 59-67. [More] [Bibtex] [RIS] [MODS]
• M. Torres-Jiménez, C. Hervás-Martínez, C. García-Alonso and 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. [More] [Bibtex] [RIS] [MODS]