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Experimental study and random forest prediction model of microbiome cell surface hydrophobicity 

Liu, Yong; Tang, Shaoxun; Fernández-Lozano, Carlos; Munteanu, Cristian-Robert; Pazos, A.; Yu, Yi-zun; Tan, Zhiliang; González-Díaz, Humberto (Elsevier, 2016-11-09)
[Abstract] The cell surface hydrophobicity (CSH) is an assessable physicochemical property used to evaluate the microbial adhesion to the surface of biomaterials, which is an essential step in the microbial biofilm formation ...
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Prediction of high anti-angiogenic activity peptides in silico using a generalized linear model and feature selection 

Liñares Blanco, José; Porto-Pazos, Ana B.; Pazos, A.; Fernández-Lozano, Carlos (Nature, 2018-10-24)
[Abstract] Screening and in silico modeling are critical activities for the reduction of experimental costs. They also speed up research notably and strengthen the theoretical framework, thus allowing researchers to ...
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Classification of mild cognitive impairment and Alzheimer’s Disease with machine-learning techniques using 1H Magnetic Resonance Spectroscopy data 

Munteanu, Cristian-Robert; Fernández-Lozano, Carlos; Mato-Abad, Virginia; Pita-Fernández, Salvador; Álvarez-Linera, Juan; Hernández-Tamames, Juan Antonio; Pazos, A. (Elsevier, 2015-03-30)
[Abstract] Several magnetic resonance techniques have been proposed as non-invasive imaging biomarkers for the evaluation of disease progression and early diagnosis of Alzheimer’s Disease (AD). This work is the first ...
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Experimental Study and ANN Dual-Time Scale Perturbation Model of Electrokinetic Properties of Microbiota 

Liu, Yong; Munteanu, Cristian-Robert; Fernández-Lozano, Carlos; Pazos, A.; Ran, Tao; Tan, Zhiliang; Zhou, Chuanshe; Tang, Shaoxun; González-Díaz, Humberto (Frontiers Science, 2017-06-30)
[Abstract] The electrokinetic properties of the rumen microbiota are involved in cell surface adhesion and microbial metabolism. An in vitro study was carried out in batch culture to determine the effects of three levels ...
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Population Subset Selection for the Use of a Validation Dataset for Overfitting Control in Genetic Programming 

Rivero, Daniel; Fernández-Blanco, Enrique; Fernández-Lozano, Carlos; Pazos, A. (Taylor & Francis Group, 2019-07-31)
[Abstract] Genetic Programming (GP) is a technique which is able to solve different problems through the evolution of mathematical expressions. However, in order to be applied, its tendency to overfit the data is one of ...
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Texture Analysis in Gel Electrophoresis Images Using an Integrative Kernel-Based Approach 

Fernández-Lozano, Carlos; Seoane, José A.; Gestal, M.; Gaunt, Tom R.; Dorado, Julián; Pazos, A.; Campbell, Colin (Nature, 2016-01-13)
[Abstract] Texture information could be used in proteomics to improve the quality of the image analysis of proteins separated on a gel. In order to evaluate the best technique to identify relevant textures, we use several ...
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A methodology for the design of experiments in computational intelligence with multiple regression models 

Fernández-Lozano, Carlos; Gestal, M.; Munteanu, Cristian-Robert; Dorado, Julián; Pazos, A. (Peer J, 2016-12-01)
[Abstract] The design of experiments and the validation of the results achieved with them are vital in any research study. This paper focuses on the use of different Machine Learning approaches for regression tasks in the ...
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Using Genetic Algorithms to Improve Support Vector Regression in the Analysis of Atomic Spectra of Lubricant Oils 

Fernández-Lozano, Carlos; Cedrón, Francisco; Rivero, Daniel; Dorado, Julián; Andrade-Garda, José Manuel; Pazos, A.; Gestal, M. (Emerald, 2016-06)
[Abstract] Purpose – The purpose of this paper is to assess the quality of commercial lubricant oils. A spectroscopic method was used in combination with multivariate regression techniques (ordinary multivariate ...
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Automatic multiscale vascular image segmentation algorithm for coronary angiography 

Carballal, Adrián; Nóvoa, Francisco; Fernández-Lozano, Carlos; García-Guimaraes, Marcos; Aldama López, Guillermo; Calviño-Santos, Ramón; Vázquez Rodríguez, José Manuel; Pazos, A. (Elsevier, 2018-09)
[Abstract] Cardiovascular diseases, particularly severe stenosis, are the main cause of death in the western world. The primary method of diagnosis, considered to be the standard in the detection and quantification of ...

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Fernández-Lozano, Carlos (9)
Pazos, A. (9)Munteanu, Cristian-Robert (4)Dorado, Julián (3)Gestal, M. (3)González-Díaz, Humberto (2)Liu, Yong (2)Rivero, Daniel (2)Tan, Zhiliang (2)Tang, Shaoxun (2)... View MoreSubjectMachine learning (4)Perturbation theory (2)Alzheimer’s disease (1)Angiographies segmentation (1)Artificial neural networks (1)Cell properties (1)Computational intelligence (1)Coronary disease (1)Data mining (1)Electrokinetic properties (1)... View MoreDate Issued2019 (1)2018 (2)2017 (1)2016 (4)2015 (1)
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