Carlos Fernandez-Lozano
Carlos Fernandez-Lozano
Universidade da Coruña. Centro de investigación CITIC. Computer Science Department
Verified email at udc.es
TitleCited byYear
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
322015
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
302015
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
232015
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
212015
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
212014
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
192015
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
162013
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
142016
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
142014
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
132013
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
122017
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
122014
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
112016
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
102017
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
82017
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
52018
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
52015
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
52013
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
42019
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
32017
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Articles 1–20