List of works - Carlos Fernandez-Lozano

A methodology for the design of experiments in computational intelligence with multiple regression models

scientific article

A review on machine learning approaches and trends in drug discovery

publication published on 12 August 2021

A semantic interoperability approach to support integration of gene expression and clinical data in breast cancer

scientific article

Applied computational techniques on schizophrenia using genetic mutations

scientific article published on January 2013

Automated Neuron Detection in High-Content Fluorescence Microscopy Images Using Machine Learning

scientific article published on 01 April 2019

Classification of mild cognitive impairment and Alzheimer’s Disease with machine-learning techniques using 1H Magnetic Resonance Spectroscopy data

scholarly article by Cristian R. Munteanu et al published September 2015 in Expert Systems with Applications

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

scientific article

Comparison of Outlier-Tolerant Models for Measuring Visual Complexity

scientific article published on 24 April 2020

Experimental Study and ANN Dual-Time Scale Perturbation Model of Electrokinetic Properties of Microbiota

scientific article

Experimental study and Random Forest prediction model of microbiome cell surface hydrophobicity

article

High Order Texture-Based Analysis in Biomedical Images

Hybrid model based on Genetic Algorithms and SVM applied to variable selection within fruit juice classification

scientific article published on 10 December 2013

Improving enzyme regulatory protein classification by means of SVM-RFE feature selection.

scientific article published in May 2014

Kernel-based feature selection techniques for transport proteins based on star graph topological indices.

scientific article published in January 2013

Machine learning applied to transcriptomic data to identify genes associated with feed efficiency in pigs

article

Markov mean properties for cell death-related protein classification

scientific article published on 31 January 2014

Molecular docking and machine learning analysis of Abemaciclib in colon cancer

scientific article published on 08 July 2020

Motion estimation in real deformation processes based on block-matching techniques

Prediction of high anti-angiogenic activity peptides in silico using a generalized linear model and feature selection

scientific article published in Scientific Reports

RRegrs: an R package for computer-aided model selection with multiple regression models

scientific article (publication date: 2015)

Solvent accessible surface area-based hot-spot detection methods for protein-protein and protein-nucleic acid interfaces

scientific article published on 17 April 2015

Texture Classification Using Kernel-Based Techniques

scientific article published in 2013

Texture Classification of Proteins Using Support Vector Machines and Bio-inspired Metaheuristics

Texture analysis in gel electrophoresis images using an integrative kernel-based approach.

scientific article

Texture classification using feature selection and kernel-based techniques

article published in 2015

Two-dimensional gel electrophoresis image registration using block-matching techniques and deformation models

scientific article published on 5 March 2014

List of works by Carlos Fernandez-Lozano

A methodology for the design of experiments in computational intelligence with multiple regression models

A review on machine learning approaches and trends in drug discovery

A semantic interoperability approach to support integration of gene expression and clinical data in breast cancer

Applied computational techniques on schizophrenia using genetic mutations

Automated Neuron Detection in High-Content Fluorescence Microscopy Images Using Machine Learning

Classification of mild cognitive impairment and Alzheimer’s Disease with machine-learning techniques using 1H Magnetic Resonance Spectroscopy data

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

Comparison of Outlier-Tolerant Models for Measuring Visual Complexity

Experimental Study and ANN Dual-Time Scale Perturbation Model of Electrokinetic Properties of Microbiota

Experimental study and Random Forest prediction model of microbiome cell surface hydrophobicity

High Order Texture-Based Analysis in Biomedical Images

Hybrid model based on Genetic Algorithms and SVM applied to variable selection within fruit juice classification

Improving enzyme regulatory protein classification by means of SVM-RFE feature selection.

Kernel-based feature selection techniques for transport proteins based on star graph topological indices.

Machine learning applied to transcriptomic data to identify genes associated with feed efficiency in pigs

Markov mean properties for cell death-related protein classification

Molecular docking and machine learning analysis of Abemaciclib in colon cancer

Motion estimation in real deformation processes based on block-matching techniques

Prediction of high anti-angiogenic activity peptides in silico using a generalized linear model and feature selection

RRegrs: an R package for computer-aided model selection with multiple regression models

Solvent accessible surface area-based hot-spot detection methods for protein-protein and protein-nucleic acid interfaces

Texture Classification Using Kernel-Based Techniques

Texture Classification of Proteins Using Support Vector Machines and Bio-inspired Metaheuristics

Texture analysis in gel electrophoresis images using an integrative kernel-based approach.

Texture classification using feature selection and kernel-based techniques

Two-dimensional gel electrophoresis image registration using block-matching techniques and deformation models