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ORCIDCarlos Fernandez-Lozano
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2020 – today
- 2024
[j18]Paula Carracedo-Reboredo, Eider Aranzamendi, Shan He, Sonia Arrasate, Cristian R. Munteanu
, Carlos Fernandez-Lozano, Nuria Sotomayor, Esther Lete, Humberto González Díaz:
MATEO: intermolecular α-amidoalkylation theoretical enantioselectivity optimization. Online tool for selection and design of chiral catalysts and products. J. Cheminformatics 16(1): 9 (2024)- [i5]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, Santiago Rodríguez Yáñez, Ramón Iglesias-Rey:
Random Forest-Based Prediction of Stroke Outcome. CoRR abs/2402.00638 (2024) - [i4]David Vázquez-Lema, Eduardo Mosqueira-Rey, Elena Hernández-Pereira, Carlos Fernandez-Lozano, Fernando Seara-Romera, Jorge Pombo-Otero:
Segmentation, Classification and Interpretation of Breast Cancer Medical Images using Human-in-the-Loop Machine Learning. CoRR abs/2403.20112 (2024) - 2022
- [j17]Adrián Carballal, J. Pablo Galego-Carro, Nereida Rodriguez-Fernandez, Carlos Fernandez-Lozano:
Wi-Fi Handshake: analysis of password patterns in Wi-Fi networks. PeerJ Comput. Sci. 8: e1185 (2022) - [c12]Francisco Cedrón, Michael Añon-Valera, Sara Álvarez González, Carlos Fernandez-Lozano, Adrián Carballal:
Automatic issue generation. XoveTIC 2022: 130-132 - 2021
- [j16]Diego Fernández-Edreira, Jose Liñares-Blanco, Carlos Fernandez-Lozano:
Machine Learning analysis of the human infant gut microbiome identifies influential species in type 1 diabetes. Expert Syst. Appl. 185: 115648 (2021) - [j15]Jose Liñares-Blanco, Alejandro Pazos, Carlos Fernandez-Lozano:
Machine learning analysis of TCGA cancer data. PeerJ Comput. Sci. 7: e584 (2021) - [c11]Jose Liñares-Blanco, Carlos Fernandez-Lozano, José A. Seoane, Guillermo López-Campos:
Machine Learning Algorithms Reveals Country-Specific Metagenomic Taxa from American Gut Project Data. MIE 2021: 382-386 - [i3]Enrique Fernández-Blanco, Carlos Fernandez-Lozano, Alejandro Pazos, Daniel Rivero:
Ensemble of Convolution Neural Networks on Heterogeneous Signals for Sleep Stage Scoring. CoRR abs/2107.11045 (2021) - 2020
- [j14]Adrián Carballal, Carlos Fernandez-Lozano, Nereida Rodriguez-Fernandez, Iria Santos, Juan Romero:
Comparison of Outlier-Tolerant Models for Measuring Visual Complexity. Entropy 22(4): 488 (2020) - [j13]Daniel Rivero, Enrique Fernández-Blanco, Carlos Fernandez-Lozano, Alejandro Pazos:
Population subset selection for the use of a validation dataset for overfitting control in genetic programming. J. Exp. Theor. Artif. Intell. 32(2): 243-271 (2020) - [j12]Adrián Carballal, Carlos Fernandez-Lozano, Jónathan Heras, Juan Romero:
Transfer learning features for predicting aesthetics through a novel hybrid machine learning method. Neural Comput. Appl. 32(10): 5889-5900 (2020) - [j11]Alba Arceo-Vilas, Carlos Fernandez-Lozano, Salvador Pita, Sonia Pértega Díaz, Alejandro Pazos:
Identification of predictive factors of the degree of adherence to the Mediterranean diet through machine-learning techniques. PeerJ Comput. Sci. 6: e287 (2020)
2010 – 2019
- 2019
- [j10]Adrián Carballal, Carlos Fernandez-Lozano, Nereida Rodriguez-Fernandez, Luz Castro, Antonino Santos:
Avoiding the Inherent Limitations in Datasets Used for Measuring Aesthetics When Using a Machine Learning Approach. Complex. 2019: 4659809:1-4659809:12 (2019) - [j9]Gadea Mata, Miroslav Radojevic, Carlos Fernandez-Lozano, Ihor Smal, Niels Werij, Miguel Morales, Erik Meijering, Julio Rubio:
Automated Neuron Detection in High-Content Fluorescence Microscopy Images Using Machine Learning. Neuroinformatics 17(2): 253-269 (2019) - [i2]Enrique Fernández-Blanco, Daniel Rivero, Marcos Gestal, Carlos Fernandez-Lozano, Norberto Ezquerra, Cristian R. Munteanu, Julián Dorado:
A Hybrid Evolutionary System for Automated Artificial Neural Networks Generation and Simplification in Biomedical Applications. CoRR abs/1904.04754 (2019) - [i1]Carlos Fernandez-Lozano, Ruben F. Cuinas, José A. Seoane, Enrique Fernández-Blanco, Julián Dorado, Cristian R. Munteanu:
Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models. CoRR abs/1904.05052 (2019) - 2018
- [j8]Adrián Carballal, Francisco Javier Nóvoa, Carlos Fernandez-Lozano, Marcos García-Guimaraes, Guillermo López-Campos, Ramón Calviño-Santos, José Manuel Vázquez-Naya, Alejandro Pazos:
Automatic multiscale vascular image segmentation algorithm for coronary angiography. Biomed. Signal Process. Control. 46: 1-9 (2018) - [c10]Carlos Fernandez-Lozano, Rafael Alonso Valente, Manuel Fidalgo Díaz, Alejandro Pazos:
A generalized linear model for cardiovascular complications prediction in PD patients. DATA 2018: 43:1-43:3 - [c9]Carlos Fernandez-Lozano, Jose Liñares-Blanco, Marcos Gestal, Julián Dorado, Alejandro Pazos:
Integrative multi-omics data-driven approach for metastasis prediction in cancer. DATA 2018: 44:1-44:4 - [c8]Marcos Gestal, Carlos Fernandez-Lozano, Cristian R. Munteanu, Juan R. Rabuñal, Julián Dorado:
Evaluation as a Continuous Improvement Process in the Learning of Programming Languages. SOCO-CISIS-ICEUTE 2018: 521-529 - 2017
- [j7]Raúl Alonso-Calvo, Sergio Paraiso-Medina, David Pérez-Rey, Enrique Alonso-Oset, Ruud van Stiphout, Sheng Yu, Marian Taylor, Francesca Buffa, Carlos Fernandez-Lozano, Alejandro Pazos, Victor Maojo:
A semantic interoperability approach to support integration of gene expression and clinical data in breast cancer. Comput. Biol. Medicine 87: 179-186 (2017) - [j6]Yong Liu, Shaoxun Tang, Carlos Fernandez-Lozano, Cristian R. Munteanu, Alejandro Pazos, Yi-zun Yu, Zhiliang Tan, Humberto González Díaz:
Experimental study and Random Forest prediction model of microbiome cell surface hydrophobicity. Expert Syst. Appl. 72: 306-316 (2017) - 2015
- [j5]Cristian R. Munteanu, Carlos Fernandez-Lozano, Virginia Mato Abad, Salvador Pita Fernández, Juan Alvarez-Linera, Juan Antonio Hernández Tamames, Alejandro Pazos:
Classification of mild cognitive impairment and Alzheimer's Disease with machine-learning techniques using 1H Magnetic Resonance Spectroscopy data. Expert Syst. Appl. 42(15-16): 6205-6214 (2015) - [j4]Georgia Tsiliki, Cristian R. Munteanu, José A. Seoane, Carlos Fernandez-Lozano, Haralambos Sarimveis, Egon L. Willighagen:
RRegrs: an R package for computer-aided model selection with multiple regression models. J. Cheminformatics 7: 46:1-46:16 (2015) - [j3]Cristian R. Munteanu, António César Pimenta, Carlos Fernandez-Lozano, André Melo, M. N. D. S. Cordeiro, Irina S. Moreira:
Solvent Accessible Surface Area-Based Hot-Spot Detection Methods for Protein-Protein and Protein-Nucleic Acid Interfaces. J. Chem. Inf. Model. 55(5): 1077-1086 (2015) - [j2]Carlos Fernandez-Lozano, José Antonio Seoane Fernández, Marcos Gestal, Tom R. Gaunt, Julián Dorado, Colin Campbell:
Texture classification using feature selection and kernel-based techniques. Soft Comput. 19(9): 2469-2480 (2015) - 2013
- [j1]Carlos Fernandez-Lozano, Alvaro Rodríguez-Tajes, Cristina Ruíz Romero, José A. Seoane:
Spot matching in 2D electrophoresis experiments. Int. J. Data Anal. Tech. Strateg. 5(2): 198-213 (2013) - [c7]Carlos Fernandez-Lozano, José A. Seoane, Pablo Mesejo, Youssef S. G. Nashed, Stefano Cagnoni, Julián Dorado:
2D-PAGE Texture Classification using Support Vector Machines and Genetic Algorithms - An Hybrid Approach for Texture Image Analysis. BIOINFORMATICS 2013: 5-14 - [c6]Carlos Fernandez-Lozano, José A. Seoane, Pablo Mesejo, Youssef S. G. Nashed, Stefano Cagnoni, Julián Dorado:
Texture Classification of Proteins Using Support Vector Machines and Bio-inspired Metaheuristics. BIOSTEC (Selected Papers) 2013: 117-130 - [c5]Carlos Fernandez-Lozano, José A. Seoane, Marcos Gestal, Tom R. Gaunt, Colin Campbell:
Texture Classification Using Kernel-Based Techniques. IWANN (1) 2013: 427-434 - [c4]Carlos Fernandez-Lozano, Guillermo López-Campos, José A. Seoane, Victoria López-Alonso, Julián Dorado, Fernando Martín-Sánchez, Alejandro Pazos:
Anonymizing Patient Genomic Data for Public Sharing Association Studies. MedInfo 2013: 979 - [c3]Carlos Fernandez-Lozano, José A. Seoane, Marcos Gestal, Daniel Rivero, Julián Dorado, Alejandro Pazos:
A Texture-based Classification Method for Proteins in Two-Dimensional Electrophoresis Gel Images - A Feature Selection Method using Support Vector Machines and Genetic Algorithms. VISAPP (1) 2013: 401-404 - 2012
- [c2]Alvaro Rodríguez, Carlos Fernandez-Lozano, José Antonio Seoane Fernández, Juan R. Rabuñal, Julián Dorado:
Analysis of Deformation Processes using Block-matching Techniques. VISAPP (2) 2012: 327-332 - 2011
- [c1]Alvaro Rodríguez, Carlos Fernandez-Lozano, José Antonio Seoane Fernández, Juan R. Rabuñal, Julián Dorado:
Motion estimation in real deformation processes based on block-matching techniques. ISSPIT 2011: 336-341
Coauthor Index
aka: José A. Seoane
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