Carlos Fernandez-Lozano

Orcid: 0000-0003-0413-5677

According to our database1, Carlos Fernandez-Lozano authored at least 35 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
MATEO: intermolecular α-amidoalkylation theoretical enantioselectivity optimization. Online tool for selection and design of chiral catalysts and products.
J. Cheminformatics, December, 2024

Segmentation, Classification and Interpretation of Breast Cancer Medical Images using Human-in-the-Loop Machine Learning.
CoRR, 2024

Random Forest-Based Prediction of Stroke Outcome.
CoRR, 2024

2022
Wi-Fi Handshake: analysis of password patterns in Wi-Fi networks.
PeerJ Comput. Sci., 2022

Automatic issue generation.
Proceedings of V XoveTIC Conference, 2022

2021
Machine learning analysis of TCGA cancer data.
PeerJ Comput. Sci., 2021

Machine Learning analysis of the human infant gut microbiome identifies influential species in type 1 diabetes.
Expert Syst. Appl., 2021

Ensemble of Convolution Neural Networks on Heterogeneous Signals for Sleep Stage Scoring.
CoRR, 2021

Machine Learning Algorithms Reveals Country-Specific Metagenomic Taxa from American Gut Project Data.
Proceedings of the Public Health and Informatics, 2021

2020
Identification of predictive factors of the degree of adherence to the Mediterranean diet through machine-learning techniques.
PeerJ Comput. Sci., 2020

Transfer learning features for predicting aesthetics through a novel hybrid machine learning method.
Neural Comput. Appl., 2020

Population subset selection for the use of a validation dataset for overfitting control in genetic programming.
J. Exp. Theor. Artif. Intell., 2020

Comparison of Outlier-Tolerant Models for Measuring Visual Complexity.
Entropy, 2020

2019
Automated Neuron Detection in High-Content Fluorescence Microscopy Images Using Machine Learning.
Neuroinformatics, 2019

Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models.
CoRR, 2019

A Hybrid Evolutionary System for Automated Artificial Neural Networks Generation and Simplification in Biomedical Applications.
CoRR, 2019

Avoiding the Inherent Limitations in Datasets Used for Measuring Aesthetics When Using a Machine Learning Approach.
Complex., 2019

2018
Automatic multiscale vascular image segmentation algorithm for coronary angiography.
Biomed. Signal Process. Control., 2018

Evaluation as a Continuous Improvement Process in the Learning of Programming Languages.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018

Integrative multi-omics data-driven approach for metastasis prediction in cancer.
Proceedings of the First International Conference on Data Science, 2018

A generalized linear model for cardiovascular complications prediction in PD patients.
Proceedings of the First International Conference on Data Science, 2018

2017
Experimental study and Random Forest prediction model of microbiome cell surface hydrophobicity.
Expert Syst. Appl., 2017

A semantic interoperability approach to support integration of gene expression and clinical data in breast cancer.
Comput. Biol. Medicine, 2017

2015
Texture classification using feature selection and kernel-based techniques.
Soft Comput., 2015

Solvent Accessible Surface Area-Based Hot-Spot Detection Methods for Protein-Protein and Protein-Nucleic Acid Interfaces.
J. Chem. Inf. Model., 2015

RRegrs: an R package for computer-aided model selection with multiple regression models.
J. Cheminformatics, 2015

Classification of mild cognitive impairment and Alzheimer's Disease with machine-learning techniques using <sup>1</sup>H Magnetic Resonance Spectroscopy data.
Expert Syst. Appl., 2015

2013
Spot matching in 2D electrophoresis experiments.
Int. J. Data Anal. Tech. Strateg., 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.
Proceedings of the VISAPP 2013, 2013

Anonymizing Patient Genomic Data for Public Sharing Association Studies.
Proceedings of the MEDINFO 2013, 2013

Texture Classification Using Kernel-Based Techniques.
Proceedings of the Advances in Computational Intelligence, 2013

2D-PAGE Texture Classification using Support Vector Machines and Genetic Algorithms - An Hybrid Approach for Texture Image Analysis.
Proceedings of the BIOINFORMATICS 2013 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Barcelona, Spain, 11, 2013

Texture Classification of Proteins Using Support Vector Machines and Bio-inspired Metaheuristics.
Proceedings of the Biomedical Engineering Systems and Technologies, 2013

2012
Analysis of Deformation Processes using Block-matching Techniques.
Proceedings of the VISAPP 2012, 2012

2011
Motion estimation in real deformation processes based on block-matching techniques.
Proceedings of the 2011 IEEE International Symposium on Signal Processing and Information Technology, 2011


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