| Texture classification using feature selection and kernel-based techniques C Fernandez-Lozano, JA Seoane, M Gestal, TR Gaunt, J Dorado, ... Soft Computing 19 (9), 2469-2480, 2015 | 32 | 2015 |
| RRegrs: an R package for computer-aided model selection with multiple regression models G Tsiliki, CR Munteanu, JA Seoane, C Fernandez-Lozano, H Sarimveis, ... Journal of cheminformatics 7 (1), 46, 2015 | 30 | 2015 |
| Classification of mild cognitive impairment and Alzheimer’s Disease with machine-learning techniques using 1H Magnetic Resonance Spectroscopy data CR Munteanu, C Fernandez-Lozano, VM Abad, SP Fernández, ... Expert Systems with Applications 42 (15-16), 6205-6214, 2015 | 23 | 2015 |
| Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models C Fernandez-Lozano, RF Cuinas, JA Seoane, E Fernandez-Blanco, ... Journal of theoretical biology 384, 50-58, 2015 | 21 | 2015 |
| Improving enzyme regulatory protein classification by means of SVM-RFE feature selection C Fernandez-Lozano, E Fernández-Blanco, K Dave, N Pedreira, M Gestal, ... Molecular Biosystems 10 (5), 1063-1071, 2014 | 21 | 2014 |
| Solvent accessible surface area-based hot-spot detection methods for protein–protein and protein–nucleic acid interfaces CR Munteanu, AC Pimenta, C Fernandez-Lozano, A Melo, ... Journal of chemical information and modeling 55 (5), 1077-1086, 2015 | 19 | 2015 |
| Hybrid model based on Genetic Algorithms and SVM applied to variable selection within fruit juice classification C Fernandez-Lozano, C Canto, M Gestal, JM Andrade-Garda, ... The Scientific World Journal 2013, 13, 2013 | 16 | 2013 |
| A methodology for the design of experiments in computational intelligence with multiple regression models C Fernandez-Lozano, M Gestal, CR Munteanu, J Dorado, A Pazos PeerJ 4, e2721, 2016 | 14 | 2016 |
| Two-dimensional gel electrophoresis image registration using block-matching techniques and deformation models A Rodriguez, C Fernandez-Lozano, J Dorado, JR Rabuñal Analytical biochemistry 454, 53-59, 2014 | 14 | 2014 |
| Kernel-Based Feature Selection Techniques For Transport Proteins Based On Star Graph Topological Indices. C Fernandez-Lozano, M Gestal, N Pedreira-Souto, L Postelnicu, J Dorado, ... Current topics in medicinal chemistry 12 (14), 1681-1691, 2013 | 13 | 2013 |
| Experimental study and Random Forest prediction model of microbiome cell surface hydrophobicity Y Liu, S Tang, C Fernandez-Lozano, CR Munteanu, A Pazos, Y Yu, Z Tan, ... Expert Systems with Applications 72, 306-316, 2017 | 12 | 2017 |
| Markov mean properties for cell death-related protein classification C Fernandez-Lozano, M Gestal, H González-Díaz, J Dorado, A Pazos, ... Journal of theoretical biology 349, 12-21, 2014 | 12 | 2014 |
| Texture analysis in gel electrophoresis images using an integrative kernel-based approach C Fernandez-Lozano, JA Seoane, M Gestal, TR Gaunt, J Dorado, ... Scientific reports 6, 19256, 2016 | 11 | 2016 |
| A semantic interoperability approach to support integration of gene expression and clinical data in breast cancer R Alonso-Calvo, S Paraiso-Medina, D Perez-Rey, E Alonso-Oset, ... Computers in biology and medicine 87, 179-186, 2017 | 10 | 2017 |
| Authentication of tequilas using pattern recognition and supervised classification G Pérez-Caballero, JM Andrade, P Olmos, Y Molina, I Jiménez, JJ Durán, ... TrAC Trends in Analytical Chemistry 94, 117-129, 2017 | 8 | 2017 |
| Prediction of high anti-angiogenic activity peptides in silico using a generalized linear model and feature selection JL Blanco, AB Porto-Pazos, A Pazos, C Fernandez-Lozano Scientific reports 8 (1), 15688, 2018 | 5 | 2018 |
| Using the RRegrs R package for automating predictive modelling G Tsiliki, CR Munteanu, J Seoane, C Fernandez-Lozano, H Sarimveis, ... Proceedings of the MOL2NET International Conference on Multidisciplinary …, 2015 | 5 | 2015 |
| Texture classification using kernel-based techniques C Fernandez-Lozano, JA Seoane, M Gestal, TR Gaunt, C Campbell International Work-Conference on Artificial Neural Networks, 427-434, 2013 | 5 | 2013 |
| Avoiding the inherent limitations in datasets used for measuring aesthetics when using a machine learning approach A Carballal, C Fernandez-Lozano, N Rodriguez-Fernandez, L Castro, ... Complexity 2019, 2019 | 4 | 2019 |
| Experimental study and ANN dual-time scale perturbation model of electrokinetic properties of microbiota Y Liu, CR Munteanu, C Fernandez-Lozano, A Pazos, T Ran, Z Tan, Y Yu, ... Frontiers in microbiology 8, 1216, 2017 | 3 | 2017 |
Julian DoradoFull Professor, Universidade da CoruñaVerified email at udc.es
