Motion estimation in real deformation processes based on block-matching techniques. - Alvaro Rodríguez 001; Carlos Fernandez-Lozano; José Antonio Seoane Fernández; Juan R. Rabuñal; Julián Dorado (ISSPIT, 2011)

Analysis of Deformation Processes using Block-matching Techniques. - Alvaro Rodríguez 001; Carlos Fernandez-Lozano; José Antonio Seoane Fernández; Juan R. Rabuñal; Julián Dorado (VISAPP (2), 2012)

Texture Classification of Proteins Using Support Vector Machines and Bio-inspired Metaheuristics. - Carlos Fernandez-Lozano; José A. Seoane; Pablo Mesejo; Youssef S. G. Nashed; Stefano Cagnoni; Julián Dorado (BIOSTEC (Selected Papers), 2013)

2D-PAGE Texture Classification using Support Vector Machines and Genetic Algorithms - An Hybrid Approach for Texture Image Analysis. - Carlos Fernandez-Lozano; José A. Seoane; Pablo Mesejo; Youssef S. G. Nashed; Stefano Cagnoni; Julián Dorado (BIOINFORMATICS, 2013)

Texture Classification Using Kernel-Based Techniques. - Carlos Fernandez-Lozano; José A. Seoane; Marcos Gestal; Tom R. Gaunt; Colin Campbell (IWANN (1), 2013)

Anonymizing Patient Genomic Data for Public Sharing Association Studies. - Carlos Fernandez-Lozano; Guillermo López-Campos; José A. Seoane; Victoria López-Alonso; Julián Dorado; Fernando Martín-Sánchez; Alejandro Pazos (MedInfo, 2013)

A Texture-based Classification Method for Proteins in Two-Dimensional Electrophoresis Gel Images - A Feature Selection Method using Support Vector Machines and Genetic Algorithms. - Carlos Fernandez-Lozano; José A. Seoane; Marcos Gestal; Daniel Rivero 001; Julián Dorado; Alejandro Pazos (VISAPP (1), 2013)

Spot matching in 2D electrophoresis experiments. - Carlos Fernandez-Lozano; Alvaro Rodríguez-Tajes; Cristina Ruíz Romero; José A. Seoane (Int. J. Data Anal. Tech. Strateg., 2013)

Classification of mild cognitive impairment and Alzheimer's Disease with machine-learning techniques using 1H Magnetic Resonance Spectroscopy data. - Cristian R. Munteanu; Carlos Fernandez-Lozano; Virginia Mato Abad; Salvador Pita Fernández; Juan Alvarez-Linera; Juan Antonio Hernández Tamames; Alejandro Pazos (Expert Syst. Appl., 2015)

RRegrs: an R package for computer-aided model selection with multiple regression models. - Georgia Tsiliki; Cristian R. Munteanu; José A. Seoane; Carlos Fernandez-Lozano; Haralambos Sarimveis; Egon L. Willighagen (J. Cheminformatics, 2015)

Solvent Accessible Surface Area-Based Hot-Spot Detection Methods for Protein-Protein and Protein-Nucleic Acid Interfaces. - Cristian R. Munteanu; António César Pimenta; Carlos Fernandez-Lozano; André Melo; M. N. D. S. Cordeiro; Irina S. Moreira (J. Chem. Inf. Model., 2015)

Texture classification using feature selection and kernel-based techniques. - Carlos Fernandez-Lozano; José Antonio Seoane Fernández; Marcos Gestal; Tom R. Gaunt; Julián Dorado; Colin Campbell (Soft Comput., 2015)

A semantic interoperability approach to support integration of gene expression and clinical data in breast cancer. - Raúl Alonso-Calvo; Sergio Paraiso-Medina; David Pérez-Rey; Enrique Alonso-Oset; Ruud van Stiphout; Sheng Yu 008; Marian Taylor; Francesca Buffa; Carlos Fernandez-Lozano; Alejandro Pazos; Victor Maojo (Comput. Biol. Medicine, 2017)

Experimental study and Random Forest prediction model of microbiome cell surface hydrophobicity. - Yong Liu; Shaoxun Tang; Carlos Fernandez-Lozano; Cristian R. Munteanu; Alejandro Pazos; Yi-zun Yu; Zhiliang Tan; Humberto González Díaz (Expert Syst. Appl., 2017)

A generalized linear model for cardiovascular complications prediction in PD patients. - Carlos Fernandez-Lozano; Rafael Alonso Valente; Manuel Fidalgo Díaz; Alejandro Pazos (DATA, 2018)

Integrative multi-omics data-driven approach for metastasis prediction in cancer. - Carlos Fernandez-Lozano; Jose Liñares-Blanco; Marcos Gestal; Julián Dorado; Alejandro Pazos (DATA, 2018)

Evaluation as a Continuous Improvement Process in the Learning of Programming Languages. - Marcos Gestal; Carlos Fernandez-Lozano; Cristian R. Munteanu; Juan R. Rabuñal; Julián Dorado (SOCO-CISIS-ICEUTE, 2018)

Automatic multiscale vascular image segmentation algorithm for coronary angiography. - Adrián Carballal; Francisco Javier Nóvoa; Carlos Fernandez-Lozano; Marcos García-Guimaraes; Guillermo López-Campos; Ramón Calviño-Santos; José Manuel Vázquez-Naya; Alejandro Pazos (Biomed. Signal Process. Control., 2018)

Avoiding the Inherent Limitations in Datasets Used for Measuring Aesthetics When Using a Machine Learning Approach. - Adrián Carballal; Carlos Fernandez-Lozano; Nereida Rodriguez-Fernandez; Luz Castro; Antonino Santos (Complex., 2019)

A Hybrid Evolutionary System for Automated Artificial Neural Networks Generation and Simplification in Biomedical Applications. - Enrique Fernández-Blanco; Daniel Rivero 001; Marcos Gestal; Carlos Fernandez-Lozano; Norberto Ezquerra; Cristian R. Munteanu; Julián Dorado (CoRR, 2019)

Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models. - Carlos Fernandez-Lozano; Ruben F. Cuinas; José A. Seoane; Enrique Fernández-Blanco; Julián Dorado; Cristian R. Munteanu (CoRR, 2019)

Automated Neuron Detection in High-Content Fluorescence Microscopy Images Using Machine Learning. - Gadea Mata; Miroslav Radojevic; Carlos Fernandez-Lozano; Ihor Smal; Niels Werij; Miguel Morales; Erik Meijering; Julio Rubio 001 (Neuroinformatics, 2019)

Comparison of Outlier-Tolerant Models for Measuring Visual Complexity. - Adrián Carballal; Carlos Fernandez-Lozano; Nereida Rodriguez-Fernandez; Iria Santos; Juan Romero (Entropy, 2020)

Population subset selection for the use of a validation dataset for overfitting control in genetic programming. - Daniel Rivero 001; Enrique Fernández-Blanco; Carlos Fernandez-Lozano; Alejandro Pazos (J. Exp. Theor. Artif. Intell., 2020)

Transfer learning features for predicting aesthetics through a novel hybrid machine learning method. - Adrián Carballal; Carlos Fernandez-Lozano; Jónathan Heras; Juan Romero (Neural Comput. Appl., 2020)

Identification of predictive factors of the degree of adherence to the Mediterranean diet through machine-learning techniques. - Alba Arceo-Vilas; Carlos Fernandez-Lozano; Salvador Pita; Sonia Pértega Díaz; Alejandro Pazos (PeerJ Comput. Sci., 2020)

Machine Learning Algorithms Reveals Country-Specific Metagenomic Taxa from American Gut Project Data. - Jose Liñares-Blanco; Carlos Fernandez-Lozano; José A. Seoane; Guillermo López-Campos (MIE, 2021)

Ensemble of Convolution Neural Networks on Heterogeneous Signals for Sleep Stage Scoring. - Enrique Fernández-Blanco; Carlos Fernandez-Lozano; Alejandro Pazos; Daniel Rivero 001 (CoRR, 2021)

Machine Learning analysis of the human infant gut microbiome identifies influential species in type 1 diabetes. - Diego Fernández-Edreira; Jose Liñares-Blanco; Carlos Fernandez-Lozano (Expert Syst. Appl., 2021)

Machine learning analysis of TCGA cancer data. - Jose Liñares-Blanco; Alejandro Pazos; Carlos Fernandez-Lozano (PeerJ Comput. Sci., 2021)

Automatic issue generation. - Francisco Cedrón; Michael Añon-Valera; Sara Álvarez González; Carlos Fernandez-Lozano; Adrián Carballal (XoveTIC, 2022)

Wi-Fi Handshake: analysis of password patterns in Wi-Fi networks. - Adrián Carballal; J. Pablo Galego-Carro; Nereida Rodriguez-Fernandez; Carlos Fernandez-Lozano (PeerJ Comput. Sci., 2022)

Cross Sequencing Integration of Compositional Microbiome Data in Cancer. - Diego Fernández-Edreira; Jose Liñares-Blanco; Carlos Fernandez-Lozano (CIBB, 2024)

Random Forest-Based Prediction of Stroke Outcome. - Carlos Fernandez-Lozano; Pablo Hervella; Virginia Mato Abad; Manuel Rodríguez Yáñez; Sonia Suárez Garaboa; Iria Lopez-Dequidt; Ana Estany-Gestal; Tomás Sobrino; Francisco Campos; José Castillo 003; Santiago Rodríguez Yáñez; Ramón Iglesias-Rey (CoRR, 2024)

MATEO: intermolecular α-amidoalkylation theoretical enantioselectivity optimization. Online tool for selection and design of chiral catalysts and products. - Paula Carracedo-Reboredo; Eider Aranzamendi; Shan He 004; Sonia Arrasate; Cristian R. Munteanu; Carlos Fernandez-Lozano; Nuria Sotomayor; Esther Lete; Humberto González Díaz (J. Cheminformatics, 2024)

Segmentation, classification and interpretation of breast cancer medical images using human-in-the-loop machine learning. - David Vázquez-Lema; Eduardo Mosqueira-Rey; Elena Hernández-Pereira; Carlos Fernandez-Lozano; Fernando Seara-Romera; Jorge Pombo-Otero (Neural Comput. Appl., 2025)