Publications

Publications in reversed chronological order.

120

Total Publications

∑ IF: 397.17
Q1/Q2 Journals Efficiency 89% of Articles
67 out of 75 articles are Q1 or Q2.
Excellence: D1 within Q1 32% ratio
15 publications in the 1st Decile (D1).
46 Q1 Journals
21 Q2 Journals
15 D1 Journals
11 Book Chapters
2 Books
32 Conference Papers

2026

  1. Comparative evaluation of deep learning architectures for bioclast classification in atomic force microscopy images
    Alicia Moya, Adrián Inés, Francisco Cedron, and 3 more authors
    Systems and Soft Computing, 2026
    Q2, 80/204 CS-AI, 3.6 IF
  2. NMed.png
    Interpretable inflammation landscape of circulating immune cells
    Laura Jiménez-Gracia, Davide Maspero, Sergio Aguilar-Fernández, and 8 more authors
    Nature Medicine, 2026
    Q1, D1, 1/1195 MR&E, 50 IF
  3. EJMCR.jpg
    Exploiting the synergy between computational and experimental biophysics for efficient cancer drug development
    Ana Álvarez-Mena, Mélanie Berbon, Carmelo Di Primo, and 5 more authors
    European Journal of Medicinal Chemistry Reports, 2026
    Q2, 24/72 CM, 4.1 IF
  4. FRI.jpg
    Determination of the presence of pharmacological residues in human feces by liquid chromatography-tandem mass spectrometry
    Gabriel Míguez-Suárez, Alejandra Cardelle-Cobas, Laura Sinisterra-Loaiza, and 3 more authors
    Food Research International, 2026
    Q1, D1, 13/182 FST, 8 IF
  5. Antibacterial activity of enmetazobactam against Acinetobacter spp.: a molecular dissection of mechanism of action and resistance determinants
    Gabriela-Alejandra Báez-Barroso, Arianna Rodríguez-Coello, Juan Carlos Vázquez-Ucha, and 13 more authors
    Antimicrobial agents and chemotherapy, 2026
    Q1, 38/163 MIC, 4.5 IF

2025

  1. NC.jpg
    A cross-study transcriptional patient map of heart failure defines conserved multicellular coordination in cardiac remodeling
    Jan D Lanzer, Ricardo O Ramirez Flores, José Liñares Blanco, and 4 more authors
    Nature Communications, 2025
    Q1, D1, 10/136 MS, 15.7 IF
  2. An unsupervised multi-omic strategy to investigate shared tissue-specific resistance mechanism in Cancer
    Sara González-Carro, Samuel Martín Revuelta, Carlos Fernandez-Lozano, and 1 more author
    In 20th ASEICA International Congress, 2025
  3. In Silico Identification of Common Pre-existing Resistance Mechanisms to EGFR Inhibitors in Colorectal Cancer
    Samuel Martín Revuelta, Carlos Fernandez-Lozano, and Jose Liñares-Blanco
    European Association for Cancer Research (EACR) 2025 Congress: Innovative Cancer Science, 2025
  4. LNCS.jpg
    Cross Sequencing Integration of Compositional Microbiome Data in Cancer
    Diego Fernández-Edreira, Jose Liñares-Blanco, and Carlos Fernandez-Lozano
    In International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2024, 2025
  5. DRUG.jpeg
    RePo-SUDOE: A Transnational Network for Drug Repurposing in the SUDOE Space
    Hugo AL Filipe, Antonio MLM Costa, André Moreira, and 8 more authors
    Drug Repurposing, 2025
  6. JENUI.jpeg
    Facilitando el aprendizaje en bioinformática y reposicionamiento de fármacos mediante una plataforma web intuitiva enfocada en el análisis de resultados
    Raúl Mouzo Quiza, Diego Fernández-Edreira, and Carlos Fernandez-Lozano
    In Actas de las XXXI Jornadas de Enseñanza Universitaria de la Informática (JENUI), 2025
  7. PEERJ.png
    Fecal microbiome analysis in patients with metabolic syndrome and type 2 diabetes
    Laura Isabel Sinisterra Loaiza, Diego Fernández-Edreira, Jose Liñares-Blanco, and 3 more authors
    PeerJ, 2025
    Q2, 47/136 MS, 2.4 IF
  8. NCA.jpg
    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, and 3 more authors
    Neural Computing and Applications, 2025
    Q2, 52/197 CS-AI, 4.5 IF
  9. NC.jpg
    Cx43 enhances response to BRAF/MEK inhibitors by reducing DNA repair capacity
    Adrián Varela-Vázquez, Amanda Guitián-Caamaño, Paula Carpintero-Fernández, and 22 more authors
    Nature Communications , 2025
    Q1, D1, 10/136 MS, 15.7 IF
  10. MTA.jpg
    Ensemble of convolution neural networks on heterogeneous signals for sleep stage scoring
    Enrique Fernandez-Blanco, Brais Galdo, Carlos Fernandez-Lozano, and 2 more authors
    Multimedia Tools and Applications, 2025
    Q2, 95/250 CS-IS, 3 IF
  11. Advancements in the fight against globally distributed OXA-48 carbapenemase: evaluating the new generation of carbapenemase inhibitors
    Michelle Outeda-García, Jorge Arca-Suárez, Emilio Lence, and 14 more authors
    Antimicrobial Agents and Chemotherapy, 2025
    Q1, 49/161 MIC, 4.1 IF
  12. Multicenter evaluation of Fourier transform infrared (FTIR) spectroscopy as a first-line typing tool for carbapenemase-producing Klebsiella pneumoniae in clinical settings
    Ana Candela, David Rodríguez-Temporal, Pilar Lumbreras, and 9 more authors
    Journal of clinical microbiology, 2025
    Q1, 23/163 MIC, 5.4 IF
  13. The novel polymyxin analogue SPR206 exhibits higher activity than colistin against both colistin-susceptible and colistin-resistant strains of Acinetobacter baumannii
    Michelle Outeda-García, Andrea Garcia-Pose, Paula Guijarro-Sánchez, and 8 more authors
    Antimicrobial agents and chemotherapy, 2025
    Q1, 38/163 MIC, 4.5 IF

2024

  1. EURO.png
    Epidemiology, resistance genomics and susceptibility of Acinetobacter species: results from the 2020 Spanish nationwide surveillance study
    Cristina Lasarte-Monterrubio, Paula Guijarro-Sánchez, Isaac Alonso-Garcia, and 9 more authors
    Eurosurveillance, 2024
    Q1,D1, 6/137 INF-DIS, 7.8 IF
  2. CASBJ.jpg
    VIBES: A consensus subtyping of the vaginal microbiota reveals novel classification criteria
    Diego Fernández-Edreira, Jose Liñares-Blanco, V Patricia, and 2 more authors
    Computational and Structural Biotechnology Journal, 2024
    Q1, 60/285 BIO-MB, 6 IF
  3. JChem.jpg
    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, and 6 more authors
    Journal of Cheminformatics, 2024
    Q1, D1, 11/158 CS-IS, 8.6 IF
  4. Harmonizing 16S rRNA Sequencing Data: Benchmarking Batch Effect Removal Algorithms
    Diego Fernández-Edreira, Jose Liñares-Blanco, and Carlos Fernandez-Lozano
    In 12th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO), 2024
  5. Machine learning decodes the microbiome: advancing diagnostic accuracy in gastrointestinal diseases
    Ayesha Wasim, Elsa Martin-de-Arribas, Susana Ladra, and 2 more authors
    In 11th World Congress on Targeting Microbiota, 2024
  6. XTIC7.jpeg
    Personalized Recommendations in E-commerce: A Case Study on Sports and Outdoor Activities
    Patricia Da Concepcion Sarrate, Carlos Fernández-Lozano, Adrián Carballal, and 1 more author
    2024
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    Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research
    Jonathan L Golob, Tomiko T Oskotsky, Alice S Tang, and 8 more authors
    Cell Reports Medicine, 2024
    Q1, D1, 5/135 MRE, 14.3 IF
  8. Activity and resistance mechanisms of the third generation tetracyclines tigecycline, eravacycline and omadacycline against nationwide Spanish collections of carbapenemase-producing Enterobacterales and Acinetobacter baumannii
    Patricia García, Paula Guijarro-Sánchez, Cristina Lasarte-Monterrubio, and 13 more authors
    Biomedicine and Pharmacotherapy, 2024
    Q1,D1, 19/352 PHA&PHA, 7.5 IF
  9. Activity of cefiderocol and innovative β-lactam/β-lactamase inhibitor combinations against isogenic strains of Escherichia coli expressing single and double β-lactamases under high and low permeability conditions
    Tania Blanco-Martín, Isaac Alonso-García, Lucía González-Pinto, and 12 more authors
    International Journal of Antimicrobial Agents, 2024
    Q1, 17/137 INF&DIS, 4.6 IF
  10. Impact of chromosomally encoded resistance mechanisms and transferable β-lactamases on the activity of cefiderocol and innovative β-lactam/β-lactamase inhibitor combinations against Pseudomonas aeruginosa
    Lucía González-Pinto, Isaac Alonso-García, Tania Blanco-Martín, and 13 more authors
    Journal of Antimicrobial Chemotherapy, 2024
    Q2, 36/137 INF&DIS, 3.6 IF

2023

  1. XTIC6.png
    Music Recommendation System Based on Ratings Obtained from Amazon
    Sergio Marcos Vazquez, Carlos Fernández-Lozano, Adrián Carballal, and 1 more author
    In VI Congreso XoveTIC: impulsando el talento científico, 2023
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    A influencia de facer os criterios de avaliación públicos en materias vinculadas ao Grao de Enxeñaría en Informática
    Enrique Fernández-Blanco, Carlos Fernández-Lozano, and Daniel Rivero
    In Contextos universitarios transformadores: a innovación como eixo vertebrador da docencia, 2023
  3. Activity of aztreonam in combination with novel β-lactamase inhibitors against metallo-β-lactamase-producing Enterobacterales from Spain
    Juan Carlos Vázquez-Ucha, Isaac Alonso-Garcia, Paula Guijarro-Sánchez, and 10 more authors
    International Journal of Antimicrobial Agents, 2023
    Q1, 17/137 INF&DIS, 4.6 IF
  4. Antimicrobial Activity of Cefiderocol against the Carbapenemase-Producing Enterobacter cloacae Complex and Characterization of Reduced Susceptibility Associated with Metallo-β-Lactamase VIM-1
    Cristina Lasarte-Monterrubio, Paula Guijarro-Sánchez, Juan Carlos Vázquez-Ucha, and 11 more authors
    Antimicrobial agents and chemotherapy, 2023
    Q1, 49/161 MIC, 4.1 IF
  5. In vitro development of imipenem/relebactam resistance in KPC-producing Klebsiella pneumoniae involves multiple mutations including OmpK36 disruption and KPC modification
    Eva Gato, Paula Guijarro-Sánchez, Isaac Alonso-García, and 17 more authors
    International Journal of Antimicrobial Agents, 2023
    Q1, 16/132 MIC, 4.9 IF
  6. Interplay between OXA-10 β-Lactamase Production and Low Outer-Membrane Permeability in Carbapenem Resistance in Enterobacterales
    Isaac Alonso-García, Juan Carlos Vázquez-Ucha, Marta Martínez-Guitián, and 16 more authors
    Antibiotics, 2023
    Q1, 26/137 INF&DIS, 4.3 IF
  7. Simultaneous and divergent evolution of resistance to cephalosporin/β-lactamase inhibitor combinations and imipenem/relebactam following ceftazidime/avibactam treatment of MDR Pseudomonas aeruginosa infections
    Isaac Alonso-García, Juan Carlos Vázquez-Ucha, Cristina Lasarte-Monterrubio, and 15 more authors
    The Journal of antimicrobial chemotherapy, 2023
    Q1, 32/132 INF&DIS, 3.9 IF

2022

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    Wi-Fi Handshake: analysis of password patterns in Wi-Fi networks
    A. Carballal, J.P. Galego-Carro, N. Rodriguez-Fernandez, and 1 more author
    PeerJ Computer Science, Dec 2022
    Q2, 48/110 CS-TH, 2.411 IF
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    Machine Learning Based Microbiome Signature to Predict Inflammatory Bowel Disease Subtypes
    J. Liñares-Blanco, C. Fernandez-Lozano, J.A. Seoane, and 1 more author
    Frontiers in Microbiology, May 2022
    Q1, 34/137 MICRO, 6.064 IF
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    Carbapenem Resistance in Acinetobacter nosocomialis and Acinetobacter junii Conferred by Acquisition of blaOXA-24/40 and Genetic Characterization of the Transmission Mechanism between Acinetobacter Genomic Species
    C. Lasarte-Monterrubio, P. Guijarro-Sánchez, A. Bellés, and 6 more authors
    Microbiology Spectrum, Feb 2022
    Q1, 20/137 MICRO, 9.043 IF
  4. Activity of cefiderocol, imipenem/relebactam, cefepime/taniborbactam and cefepime/zidebactam against ceftolozane/tazobactam- and ceftazidime/avibactam-resistant Pseudomonas aeruginosa
    Cristina Lasarte-Monterrubio, Pablo Arturo Fraile-Ribot, Juan Carlos Vázquez-Ucha, and 9 more authors
    The Journal of antimicrobial chemotherapy, Feb 2022
    Q1, 32/132 INF&DIS, 5.2 IF
  5. Assessment of Activity and Resistance Mechanisms to Cefepime in Combination with the Novel β-Lactamase Inhibitors Zidebactam, Taniborbactam, and Enmetazobactam against a Multicenter Collection of Carbapenemase-Producing Enterobacterales
    Juan Carlos Vázquez-Ucha, Cristina Lasarte-Monterrubio, Paula Guijarro-Sánchez, and 6 more authors
    Antimicrobial Agents and Chemotherapy, Feb 2022
    Q1, 51/279 PHA&PHA, 4.9 IF
  6. Emergence of 16S rRNA methyltransferases among carbapenemase-producing Enterobacterales in Spain studied by whole-genome sequencing
    Jorge Arca-Suárez, Bruno K. Rodiño-Janeiro, Astrid Pérez, and 37 more authors
    International Journal of Antimicrobial Agents, Feb 2022
    Q1, 12/92 INF&DIS, 10.8 IF
  7. Reply to Shapiro, «Cefepime/Enmetazobactam Is a Clinically Effective Combination Targeting Extended-Spectrum b-Lactamase-Producing Enterobacterales»
    Juan Carlos Vázquez-Ucha, Cristina Lasarte-Monterrubio, Paula Guijarro-Sánchez, and 6 more authors
    Antimicrobial Agents and Chemotherapy, Feb 2022
    Q1, 61/278 PHA&PHA, 4.9 IF
  8. Selection of AmpC β-Lactamase Variants and Metalloβ- Lactamases Leading to Ceftolozane/Tazobactam and Ceftazidime/Avibactam Resistance during Treatment of MDR/ XDR Pseudomonas aeruginosa Infections
    Alba Ruedas-López, Isaac Alonso-García, Cristina Lasarte-Monterrubio, and 14 more authors
    Antimicrobial Agents and Chemotherapy, Feb 2022
    Q1, 38/163 MIC, 4.9 IF

2021

  1. CASBJ.jpg
    A review on machine learning approaches and trends in drug discovery
    P.* Carracedo-Reboredo, J.* Liñares-Blanco, N. Rodríguez-Fernández, and 6 more authors
    Computational and Structural Biotechnology Journal, Aug 2021
    Q1, 70/297 BIO-MB, 6.155 IF
  2. ESWA.jpg
    Machine learning analysis of the human infant gut microbiome identifies influential species in type 1 diabetes
    D. Fernández-Edreira, J. Liñares-Blanco, and C. Fernandez-Lozano
    Expert Systems with Applications, Jul 2021
    Q1, D1, 8/87 OR-MS, 21/145 CS-AI, 8.665 IF
  3. PeerjCS.jpg
    Machine learning analysis of TCGA cancer data
    J. Liñares-Blanco, A. Pazos, and C. Fernandez-Lozano
    PeerJ Computer Science, Jul 2021
    Q2, 48/110 CS-TH, 2.411 IF
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    Random forest-based prediction of stroke outcome
    Carlos Fernandez-Lozano, Pablo Hervella, Virginia Mato-Abad, and 9 more authors
    Scientific Reports, May 2021
    Q2, 19/74 MS, 4.997 IF
  5. Bioinformatic tools for research in CRC
    Virginia Mato-Abad, Alejandro Pazos, Cristian R. Munteanu, and 6 more authors
    May 2021
  6. PHI.jpeg
    Machine learning algorithms reveals country-specific metagenomic taxa from American Gut Project data
    J. Liñares-Blanco, C. Fernandez-Lozano, J.A. Seoane, and 1 more author
    In Proc. of the Virtual Conference on Public Health and Informatics, May 2021
  7. AACRAM.png
    A gene expression signature of 37 genes improves survival prognosis in colon cancer patients
    J. Liñares-Blanco, C. Fernandez-Lozano, and J.A. Seoane
    In Proc. of the American Association for Cancer Research Annual Meeting, May 2021
  8. Statistical Inference from High Dimensional Data
    May 2021
    Printed Edition of the Special Issue Published in Entropy
  9. Activity of imipenem, meropenem, cefepime, and sulbactam in combination with the β-lactamase inhibitor ln-1-255 against acinetobacter spp.
    Cristina Lasarte-Monterrubio, Juan C. Vázquez-Ucha, Maria Maneiro, and 7 more authors
    Antibiotics, May 2021
    Q1, 68/2779 PHA&PHA, 5.22 IF
  10. Occurrence of the p019 Gene in the blaKPC-Harboring Plasmids: Adverse Clinical Impact for Direct Tracking of KPC-Producing Klebsiella pneumoniae by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry
    Eva Gato, Ignacio Pedro Constanso, Bruno Kotska Rodiño-Janeiro, and 10 more authors
    Journal of clinical microbiology, May 2021
    Q1, 15/136 MIC, 11.67 IF

2020

  1. PeerjCS.jpg
    Identification of predictive factors of the degree of adherence to the Mediterranean diet through machine-learning techniques
    A.* Arceo-Vilas, C.* Fernandez-Lozano, S. Pita, and 2 more authors
    PeerJ Computer Science, Jul 2020
    Q1, 24/108 CS-TH, 3.091 IF
  2. BMC.webp
    Molecular docking and machine learning analysis of Abemaciclib in colon cancer
    Jose Liñares-Blanco, Cristian Robert Munteanu, Alejandro Pazos, and 1 more author
    BMC Molecular and Cell Biology, Jul 2020
    Q4, 174/195 CE-BIO, 2.033 IF
  3. Entropy.png
    Comparison of Outlier-Tolerant Models for Measuring Visual Complexity
    Adrian Carballal, Carlos Fernandez-Lozano, Nereida Rodriguez-Fernandez, and 2 more authors
    Entropy, Apr 2020
    Q2, 37/85 PH-MU, 2.524 IF
  4. CTMC.jpg
    MCDCalc: Markov Chain Molecular Descriptors Calculator for Medicinal Chemistry
    P. Carracedo-Reboredo, R. Corona, M. Martinez-Nunes, and 9 more authors
    Current Topics in Medicinal Chemistry, Apr 2020
    Q3, 35/63 CH-ME, 3.295 IF
  5. XTIC.png
    Shiny dashboard for monitoring the COVID-19 pandemic in Spain
    C. Fernandez-Lozano and F. Cedron
    In Proc. of the 3rd XoveTIC Conference, Apr 2020
  6. XTIC.png
    Web server and R library for Calculation of markov chains molecular descriptors
    P. Carracedo-Reboredo, C.R. Munteanu, H. González-Díaz, and 1 more author
    In Proc. of the 3rd XoveTIC Conference, Apr 2020
  7. XTIC.png
    Identification of Prevotella, Anaerotruncus and Eubacterium Genera by Machine Learning Analysis of Metagenomic Profiles for Stratification of Patients Affected by Type I Diabetes
    Diego Fernández-Edreira, Jose Liñares-Blanco, and Carlos Fernandez-Lozano
    Proceedings, Apr 2020

2019

  1. NC.jpg
    Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
    M.P. Menden, D. Wang, M.J. Mason, and 351 more authors
    Nature Communications, Apr 2019
    Q1, D1, 6/71 MS, 12.121 IF
  2. GSE.webp
    Machine learning applied to transcriptomic data to identify genes associated with feed efficiency in pigs
    M. Piles, C. Fernandez-Lozano, M. Velasco-Galilea, and 5 more authors
    Genetics Selection Evolution, Apr 2019
    Q1, D1, 4/63 AG-DAS, 3.95 IF
  3. JETAI.jpeg
    Population subset selection for the use of a validation dataset for overfitting control in genetic programming
    D. Rivero, E. Fernandez-Blanco, C. Fernandez-Lozano, and 1 more author
    Journal of Experimental and Theoretical Artificial Intelligence, Apr 2019
    Q3, 72/137 CS-AI, 2.039 IF
  4. NCA.jpg
    Transfer learning features for predicting aesthetics through a novel hybrid machine learning method
    A. Carballal, C. Fernandez-Lozano, J. Heras, and 1 more author
    Neural Computing and Applications, Apr 2019
    Q1, 23/137 CS-AI, 4.774 IF
  5. PEERJ.png
    Visual complexity modelling based on image features fusion of multiple kernels
    C.* Fernandez-Lozano, A.* Carballal, P. Machado, and 2 more authors
    PeerJ, Apr 2019
    Q2, 32/71 MS, 2.379 IF
  6. Gene signatures research involved in cancer using machine learning
    J. Liñares-Blanco and C. Fernandez-Lozano
    In Proc. of the 2nd XoveTIC Conference, Apr 2019
  7. Prediction of peptide vascularization inhibitory activity in tumor tissue as a possible target for cancer treatment
    J. Liñares-Blanco and C. Fernandez-Lozano
    In Proc. of the 2nd XoveTIC Conference, Apr 2019
  8. Machine Learning para la identificación de factores predictivos del grado de adherencia a la DM
    A. Pazos, A. Arceo-Vilas, C. Fernandez-Lozano, and 2 more authors
    In Proc. of the XXII Congreso Nacional de Informática de la salud, Apr 2019
  9. Differential Gene Expression Analysis of RNA-seq Data Using Machine Learning for Cancer Research
    J. Liñares-Blanco, M. Gestal, J. Dorado, and 1 more author
    Apr 2019
  10. Multivariate Classification Techniques to Authenticate Mexican Commercial Spirits
    C. Fernandez-Lozano, M. Gestal-Pose, G. Pérez-Caballero, and 2 more authors
    Apr 2019
  11. Aesthetic Composition Indicator Based on Image Complexity
    A. Carballal, L. Castro, C. Fernandez-Lozano, and 3 more authors
    Apr 2019
  12. Machine Learning in Biomedical Informatics
    C. Fernandez-Lozano, A. Carballal, C. R. Munteanu, and 3 more authors
    Apr 2019

2018

  1. NINFS.jpeg
    Automated Neuron Detection in High-Content Fluorescence Microscopy Images Using Machine Learning
    G.* Mata, M.* Radojević, C.* Fernandez-Lozano, and 5 more authors
    Neuroinformatics, Apr 2018
    Q1, D1, 9/106 CS-IA, 5.127 IF
  2. SR.png
    Prediction of high anti-angiogenic activity peptides in silico using a generalized linear model and feature selection
    J. Liñares-Blanco, A.B. Porto-Pazos, A. Pazos, and 1 more author
    Scientific Reports, Apr 2018
    Q1, 15/69 MS, 4.011 IF
  3. Automatic multiscale vascular image segmentation algorithm for coronary angiography
    A. Carballal, F.J. Novoa, C. Fernandez-Lozano, and 5 more authors
    Biomedical Signal Processing and Control, Apr 2018
    Q2, 27/80 EBIO, 2.943 IF
  4. Avoiding the Inherent Limitations in Datasets Used for Measuring Aesthetics When Using a Machine Learning Approach
    A. Carballal, C. Fernandez-Lozano, N. Rodriguez-Fernandez, and 2 more authors
    Complexity, Apr 2018
    Q1, 21/105 M-IS, 22/64 MS, 2.591 IF
  5. Machine learning transcriptome analysis to identify genes associated with feed efficiency in pigs
    M. Piles, C. Fernandez-Lozano, M. Velasco, and 4 more authors
    In Book of abstracts of the 69th annual meeting of the European Federation of Animal Science, Apr 2018
  6. Analysis of chronic kidney disease data in peritoneal dialysis patients (PD) using artificial intelligence techniques
    A. Pazos, C Fernandez-Lozano, M. Fidalgo, and 3 more authors
    In Proc. of the 17th Congress of the International Society for Peritoneal Dialysis, Apr 2018
  7. Integrative multi-omics data-drive approach for metastasis prediction in cancer
    C. Fernandez-Lozano, J. Liñares-Blanco, M. Gestal, and 2 more authors
    In Proc. of the First International Conference on Data Science, E-Learning and Information Systems, Apr 2018
  8. A generalized linear model for cardivascular complications prediction in PD patients
    C. Fernandez-Lozano, R. Alonso Valente, M. Fidalgo Díaz, and 1 more author
    In Proc. of the First International Conference on Data Science, E-Learning and Information Systems, Apr 2018
  9. Evaluation as a Continuous Improvement Process in the Learning of Programming Languages
    M. Gestal, C. Fernandez-Lozano, C. R. Munteanu, and 2 more authors
    Apr 2018

2017

  1. Experimental study and Random Forest prediction model of microbiome cell surface hydrophobicity
    Y. Liu, T. Shaoxun, C. Fernandez-Lozano, and 5 more authors
    Expert Systems with Applications, Apr 2017
    Q1, 19/130 CS-AI, 2.981 IF
  2. Authentication of tequilas using pattern recognition and supervised classification
    G. Pérez-Caballero, J.M. Andrade, P. Olmos, and 5 more authors
    TrAC - Trends in Analytical Chemistry, Apr 2017
    Q1, D1, 3/81, CA, 7.030 IF
  3. 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, and 8 more authors
    Computers in Biology and Medicine, Apr 2017
    Q3, 53/104 CS-IA, 2.755 IF
  4. Experimental study and ANN dual-time scale perturbation model of electrokinetic properties of microbiota
    Y. Liu, C.R. Munteanu, C. Fernandez-Lozano, and 7 more authors
    Frontiers in Microbiology, Apr 2017
    Q2, 32/126 MIC, 4.019 IF
  5. Supervised classification methods to authenticate types of tequila
    J.M. Andrade-Garda, G. Pérez-Caballero, C. Fernandez-Lozano, and 2 more authors
    In Actas del XXIII Encontro galego portugués de química, Apr 2017

2016

  1. Using genetic algorithms to improve support vector regression in the analysis of atomic spectra of lubricant oils
    C. Fernandez-Lozano, F. Cedrón, D. Rivero, and 4 more authors
    Engineering Computations (Swansea, Wales), Apr 2016
    Q2, 42/102 CS-IA, 1.495 IF
  2. Texture analysis in gel electrophoresis images using an integrative kernel-based approach
    C. Fernandez-Lozano, J.A. Seoane, M. Gestal, and 4 more authors
    Scientific Reports, Apr 2016
    Q1, 7/63 MS, 5.228 IF
  3. A methodology for the design of experiments in computational intelligence with multiple regression models
    C. Fernandez-Lozano, M. Gestal, C.R. Munteanu, and 2 more authors
    PeerJ, Apr 2016
    Q1, 14/63 MS, 2.183 IF
  4. HPC-PLUS platform for biomedical applications
    F. Cedrón, E. Fernández-Blanco, C. Fernandez-Lozano, and 2 more authors
    In Proc. of the VIII Spanish drug discovery network meeting, Apr 2016

2015

  1. Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models
    C. Fernandez-Lozano, R.F. Cuiñas, J.A. Seoane, and 3 more authors
    Journal of Theoretical Biology, Apr 2015
    Q2, 15/56 M-CB, 2.116 IF
  2. Texture classification using feature selection and kernel-based techniques
    C. Fernandez-Lozano, J.A. Seoane, M. Gestal, and 3 more authors
    Soft Computing, Apr 2015
    Q2, 59/121 CS-AI, 1.304 IF
  3. RRegrs: An R package for computer-aided model selection with multiple regression models
    G. Tsiliki, C.R. Munteanu, J.A. Seoane, and 3 more authors
    Journal of Cheminformatics, Apr 2015
    Q1, D1, 4/139 CS-IS, 4.547 IF
  4. Classification of mild cognitive impairment and Alzheimer’s Disease with machine-learning techniques using 1H Magnetic Resonance Spectroscopy data
    C.R. Munteanu, C. Fernandez-Lozano, V. Mato Abad, and 4 more authors
    Expert Systems with Applications, Apr 2015
    Q1, 30/121 CS-AI, 1.965 IF
  5. Solvent accessible surface area-based hot-spot detection methods for protein-protein and protein-nucleic acid interfaces
    C.R. Munteanu, A.C. Pimenta, C. Fernandez-Lozano, and 3 more authors
    Journal of Chemical Information and Modeling, Apr 2015
    Q1, D1, 6/135 CS-IS, 4.068 IF
  6. A hybrid evolutionary system for automated artificial neural networks generation and simplification in biomedical applications
    E. Fernandez-Blanco, D. Rivero, M. Gestal, and 4 more authors
    Current Bioinformatics, Apr 2015
    Q2, 20/52 M-CB, 1.726 IF
  7. A proposal about normalization of experimental designs in computational intelligence
    C. Fernandez-Lozano, J. Dorado, and M. Gestal
    In Proc. of the International conference on Multidisciplinary Sciences, Apr 2015
  8. Bio-AIMS chemoinformatics web tools for proteins
    C.R. Munteanu, H. González-Díaz, C. Fernandez-Lozano, and 4 more authors
    In Proc. of the International conference on Multidisciplinary Sciences, Apr 2015
  9. AlzPred-SVV: Free web tool for alzheimer prediction using spectroscopy voxel volume
    V. Mato, C.R. Munteanu, C. Fernandez-Lozano, and 1 more author
    In Proc. of the International conference on Multidisciplinary Sciences, Apr 2015
  10. Using the RRegres R package for automating predictive modelling
    G. Tsiliki, C.R. Munteanu, J.A. Seoane, and 3 more authors
    In Proc. of the International conference on Multidisciplinary Sciences, Apr 2015
  11. Solvent accessible surface area hot-spot detection method
    C.R. Munteanu, A. Pimienta, C. Fernandez-Lozano, and 3 more authors
    In Proc. of the International conference on Multidisciplinary Sciences, Apr 2015
  12. Redesing and performance of an automatic segmentation method
    A. Carballal, C. Fernandez-Lozano, F. Novoa, and 7 more authors
    In Proc. of the International conference on Multidisciplinary Sciences, Apr 2015

2014

  1. Two-dimensional gel electrophoresis image registration using block-matching techniques and deformation models
    A. Rodriguez, C. Fernandez-Lozano, J. Dorado, and 1 more author
    Analytical Biochemistry, Apr 2014
    Q2, 32/75 C-A, 3.325 IF
  2. Markov mean properties for cell death-related protein classification
    C. Fernandez-Lozano, M. Gestal, H. González-Díaz, and 3 more authors
    Journal of Theoretical Biology, Apr 2014
    Q2, 23/85 M-CB, 2.116 IF
  3. Improving enzyme regulatory protein classification by means of SVM-RFE feature selection
    C. Fernandez-Lozano, E. Fernández-Blanco, K. Dave, and 4 more authors
    Molecular BioSystems, Apr 2014
    Q2, 110/289 B-MB, 3.210 IF
  4. Texture Classification of Proteins Using Support Vector Machines and Bio-inspired Metaheuristics
    C. Fernandez-Lozano, J.A. Seoane, P. Mesejo, and 3 more authors
    Apr 2014

2013

  1. High order texture-based analysis in biomedical images
    C. Fernandez-Lozano, M. Gestal, N. Pedreira, and 2 more authors
    Current Medical Imaging Reviews, Apr 2013
    Q4, 94/121 RNM-MI, 1.059 IF
  2. Hybrid model based on genetic algorithms and SVM applied to variable selection within fruit juice classification
    C. Fernandez-Lozano, C. Canto, M. Gestal, and 4 more authors
    The Scientific World Journal, Apr 2013
    Q2, 16/55 CS-AI, 1.219 IF
  3. Applied computational techniques on schizophrenia using genetic mutations
    V. Aguiar-Pulido, M. Gestal, C. Fernandez-Lozano, and 2 more authors
    Current Topics in Medicinal Chemistry, Apr 2013
    Q1, 11/58 CA, 3.453 IF
  4. Kernel-based feature selection techniques for transport proteins based on Star graph topological indices
    C. Fernandez-Lozano, M. Gestal, N. Pedreira-Souto, and 3 more authors
    Current Topics in Medicinal Chemistry, Apr 2013
    Q1, 11/58 CA, 3.453 IF
  5. 2D-PAGE texture classification using support vector machines and genetic algorithms
    C. Fernandez-Lozano, J.A. Seoane, P. Mesejo, and 3 more authors
    In Proc. of the International Conference on Bioinformatics Models, Methods and Algorithms, Apr 2013
  6. Anonymizing patient genomic data for public sharing association studies
    C. Fernandez-Lozano, G. Lopez-Campos, J.A. Seoane, and 4 more authors
    In Proc. of the 14th World Congress on Medical and Health Informatics, Apr 2013
  7. A texture-based classification method for proteins in two-dimensional electrophoresis gel images
    C. Fernandez-Lozano, J.A. Seoane, M. Gestal, and 3 more authors
    In Proc. of the International Conference on Computer Vision Theory and Applications, Apr 2013
  8. Texture classification using kernel-based techniques
    C. Fernandez-Lozano, J.A. Seoane, M. Gestal, and 2 more authors
    Apr 2013

2012

  1. Analysis of deformation processes using block-matching techniques
    A. Rodriguez, C. Fernandez-Lozano, J.A. Seoane, and 2 more authors
    In Proc. of the International Conference on Computer Vision Theory and Applications, Apr 2012
  2. Identificación de proteínas en imágenes de geles 2D utilizando DoG y algoritmos genéticos
    C. Fernandez-Lozano, J.A. Seoane, A. Alvarellos, and 1 more author
    In Proc. of the VIII congreso español sobre metaheurística, algoritmos evolutivos y bioinspirados, Apr 2012
  3. Non-rigid Motion Estimation using Block-Matching Techniques
    Alvaro Rodríguez Tajes, Carlos Fernandez-Lozano, and Juan Ramón Rabuñal Dopico
    Apr 2012
  4. La proteómica en el estudio del cáncer colorrectal y otros tipos de tumores
    A. Freire, J. Seoane, C. Fernandez-Lozano, and 3 more authors
    Apr 2012

2011

  1. Motion estimation in real deformation processes based on block-matchin techniques
    A. Rodriguez, C. Fernandez-Lozano, J.A. Seoane, and 2 more authors
    In Proc. of the IEEE International Symposium on Signal Processing and Information Technology, Apr 2011
  2. Introducción al análisis de datos biomédicos con técnicas de aprendizaje automático
    J. A. Seoane, C. Fernandez-Lozano, and J. Dorado
    Apr 2011