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Carlos Fernandez-Lozano
PeerJ Editor, Author & Reviewer
4,340 Points

Contributions by role

Author 640
Reviewer 30
Editor 3,670

Contributions by subject area

Psychiatry and Psychology
Human-Computer Interaction
Computational Science
Data Mining and Machine Learning
Bioinformatics
Artificial Intelligence
Computational Biology
Computer Networks and Communications
Cryptography
Security and Privacy
Molecular Biology
Statistics
Data Science
Natural Language and Speech
Computer Vision
Algorithms and Analysis of Algorithms
Optimization Theory and Computation
Neural Networks
Agricultural Science
Zoology
Evidence Based Medicine
Nephrology
Genetics
Oncology
Translational Medicine
Women's Health
Geriatrics
Rehabilitation
Text Mining
Genomics
Emerging Technologies

Carlos Fernandez-Lozano

PeerJ Editor, Author & Reviewer

Summary

Dr. Carlos Fernandez-Lozano is an Associate Professor at the University of A Coruña (UDC). He is a biomedical data scientist with a deep interest in discovering the complex relationships between different biological levels. His research track is multidisciplinary as he is trained in computer science, machine learning, bioinformatics, and biostatistics. His research line is focused on how biological interactions are manifested at the disease level through the use, development, and application of kernel-based computational approaches that integrate different levels of biological data on the microorganism, gene, protein, and medical imaging axis.

Algorithms & Analysis of Algorithms Artificial Intelligence Bioinformatics Computational Biology Computational Science Computer Vision Data Mining & Machine Learning Data Science Genomics Omics Technologies

Section Editor

Applications of Artificial Intelligence

Editorial Board Member

PeerJ - the Journal of Life & Environmental Sciences
PeerJ Computer Science

Work details

Associate Professor (Profesor Titular de Universidad) - tenure track

University of A Coruna
Department of Computer Science and Information Technologies

Identities

@cafernandezlo

Websites

  • Google Scholar
  • Personal website
  • GitHub
  • LinkedIn
  • ORCID

PeerJ Contributions

  • Articles 6
  • Edited 22
  • Answers 1
June 11, 2025
Fecal microbiome analysis in patients with metabolic syndrome and type 2 diabetes
Laura Isabel Sinisterra Loaiza, Diego Fernández-Edreira, Jose Liñares-Blanco, Alberto Cepeda, Alejandra Cardelle-Cobas, Carlos Fernandez-Lozano
https://doi.org/10.7717/peerj.19108 PubMed 40520642
December 16, 2022
Wi-Fi Handshake: analysis of password patterns in Wi-Fi networks
Adrian Carballal, J. Pablo Galego-Carro, Nereida Rodriguez-Fernandez, Carlos Fernandez-Lozano
https://doi.org/10.7717/peerj-cs.1185
July 12, 2021
Machine learning analysis of TCGA cancer data
Jose Liñares-Blanco, Alejandro Pazos, Carlos Fernandez-Lozano
https://doi.org/10.7717/peerj-cs.584
July 27, 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
https://doi.org/10.7717/peerj-cs.287
July 18, 2019
Visual complexity modelling based on image features fusion of multiple kernels
Carlos Fernandez-Lozano, Adrian Carballal, Penousal Machado, Antonino Santos, Juan Romero
https://doi.org/10.7717/peerj.7075 PubMed 31346494
December 1, 2016
A methodology for the design of experiments in computational intelligence with multiple regression models
Carlos Fernandez-Lozano, Marcos Gestal, Cristian R. Munteanu, Julian Dorado, Alejandro Pazos
https://doi.org/10.7717/peerj.2721 PubMed 27920952

Academic Editor on

July 10, 2025
Foundational models and federated learning: survey, taxonomy, challenges and practical insights
Cosmin-Andrei Hatfaludi, Alex Serban
https://doi.org/10.7717/peerj-cs.2993
April 1, 2025
Multimodal dataset for sensor fusion in fall detection
Carla Taramasco, Miguel Pineiro, Pablo Ormeño-Arriagada, Diego Robles, David Araya
https://doi.org/10.7717/peerj.19004 PubMed 40191748
February 24, 2025
Dynamic Periodic Event Graphs for multivariate time series pattern prediction
SoYoung Park, HyeWon Lee, Sungsu Lim
https://doi.org/10.7717/peerj-cs.2717
December 23, 2024
FedDL: personalized federated deep learning for enhanced detection and classification of diabetic retinopathy
Dasari Bhulakshmi, Dharmendra Singh Rajput
https://doi.org/10.7717/peerj-cs.2508
November 19, 2024
A study of hybrid deep learning model for stock asset management
Yuanzhi Huo, Mengjie Jin, Sicong You
https://doi.org/10.7717/peerj-cs.2493
November 12, 2024
Importance of feature selection stability in the classifier evaluation on high-dimensional genetic data
Tomasz Łukaszuk, Jerzy Krawczuk
https://doi.org/10.7717/peerj.18405
November 1, 2024
Applying stacking ensemble method to predict chronic kidney disease progression in Chinese population based on laboratory information system: a retrospective study
Jialin Du, Jie Gao, Jie Guan, Bo Jin, Nan Duan, Lu Pang, Haiming Huang, Qian Ma, Chenwei Huang, Haixia Li
https://doi.org/10.7717/peerj.18436 PubMed 39498292
October 8, 2024
Estimation of simultaneous equation models by backpropagation method using stochastic gradient descent
Belén Pérez-Sánchez, Carmen Perea, Guillem Duran Ballester, Jose J. López-Espín
https://doi.org/10.7717/peerj-cs.2352
September 19, 2024
Population structure and selective signature of Kirghiz sheep by Illumina Ovine SNP50 BeadChip
Ruizhi Yang, Zhipeng Han, Wen Zhou, Xuejiao Li, Xuechen Zhang, Lijun Zhu, Jieru Wang, Xiaopeng Li, Cheng-long Zhang, Yahui Han, Lianrui Li, Shudong Liu
https://doi.org/10.7717/peerj.17980 PubMed 39308831
August 7, 2024
Forecasting CO2 emissions of fuel vehicles for an ecological world using ensemble learning, machine learning, and deep learning models
Fatih Gurcan
https://doi.org/10.7717/peerj-cs.2234
July 31, 2024
An enhanced algorithm for semantic-based feature reduction in spam filtering
María Novo-Lourés, Reyes Pavón, Rosalía Laza, José R. Méndez, David Ruano-Ordás
https://doi.org/10.7717/peerj-cs.2206
October 3, 2023
Automatic pulmonary artery-vein separation in CT images using a twin-pipe network and topology reconstruction
Lin Pan, Xiaochao Yan, Yaoyong Zheng, Liqin Huang, Zhen Zhang, Rongda Fu, Bin Zheng, Shaohua Zheng
https://doi.org/10.7717/peerj-cs.1537
September 26, 2023
An effective and comprehensible method to detect and evaluate retinal damage due to diabetes complications
Quang Toan Dao, Hoang Quan Trinh, Viet Anh Nguyen
https://doi.org/10.7717/peerj-cs.1585
June 28, 2023
Parameter optimization of histogram-based local descriptors for facial expression recognition
Antoine Badi Mame, Jules-Raymond Tapamo
https://doi.org/10.7717/peerj-cs.1388
May 30, 2023
A regularized stochastic configuration network based on weighted mean of vectors for regression
Yang Wang, Tao Zhou, Guanci Yang, Chenglong Zhang, Shaobo Li
https://doi.org/10.7717/peerj-cs.1382
April 17, 2023
Deep learning and support vector machines for transcription start site identification
José A. Barbero-Aparicio, Alicia Olivares-Gil, José F. Díez-Pastor, César García-Osorio
https://doi.org/10.7717/peerj-cs.1340
January 12, 2023
A hybrid anomaly detection method for high dimensional data
Xin Zhang, Pingping Wei, Qingling Wang
https://doi.org/10.7717/peerj-cs.1199
August 11, 2022
A novel autoencoder approach to feature extraction with linear separability for high-dimensional data
Jian Zheng, Hongchun Qu, Zhaoni Li, Lin Li, Xiaoming Tang, Fei Guo
https://doi.org/10.7717/peerj-cs.1061
April 15, 2022
pyVHR: a Python framework for remote photoplethysmography
Giuseppe Boccignone, Donatello Conte, Vittorio Cuculo, Alessandro D’Amelio, Giuliano Grossi, Raffaella Lanzarotti, Edoardo Mortara
https://doi.org/10.7717/peerj-cs.929
March 1, 2022
Detecting racism and xenophobia using deep learning models on Twitter data: CNN, LSTM and BERT
José Alberto Benítez-Andrades, Álvaro González-Jiménez, Álvaro López-Brea, Jose Aveleira-Mata, José-Manuel Alija-Pérez, María Teresa García-Ordás
https://doi.org/10.7717/peerj-cs.906
September 3, 2021
Predicting rice diseases across diverse agro-meteorological conditions using an artificial intelligence approach
Rutuja Rajendra Patil, Sumit Kumar
https://doi.org/10.7717/peerj-cs.687
August 9, 2021
An automated method to enrich consumer health vocabularies using GloVe word embeddings and an auxiliary lexical resource
Mohammed Ibrahim, Susan Gauch, Omar Salman, Mohammed Alqahtani
https://doi.org/10.7717/peerj-cs.668

1 Answer

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