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Disambiguation of "Fernandez-Lozano, Carlos"

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Machine Learning analysis of the human infant gut microbiome identifies influential species in type 1 diabetes.

, , and . Expert Syst. Appl., (2021)

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Carlos Fernández-Catalán

Carlos Fernandez Laser

Carlos María Pagano Fernández

Carlos Felipe Revollo Fernández

Bárbara Fernández Fernández

 

Other publications of authors with the same name

Machine Learning analysis of the human infant gut microbiome identifies influential species in type 1 diabetes., , and . Expert Syst. Appl., (2021)MATEO: intermolecular α-amidoalkylation theoretical enantioselectivity optimization. Online tool for selection and design of chiral catalysts and products., , , , , , , , and . J. Cheminformatics, 16 (1): 9 (December 2024)Identification of predictive factors of the degree of adherence to the Mediterranean diet through machine-learning techniques., , , , and . PeerJ Comput. Sci., (2020)Machine learning analysis of TCGA cancer data., , and . PeerJ Comput. Sci., (2021)Wi-Fi Handshake: analysis of password patterns in Wi-Fi networks., , , and . PeerJ Comput. Sci., (2022)Evaluation as a Continuous Improvement Process in the Learning of Programming Languages., , , , and . SOCO-CISIS-ICEUTE, volume 771 of Advances in Intelligent Systems and Computing, page 521-529. Springer, (2018)Machine Learning Algorithms Reveals Country-Specific Metagenomic Taxa from American Gut Project Data., , , and . MIE, volume 281 of Studies in Health Technology and Informatics, page 382-386. IOS Press, (2021)Texture Classification of Proteins Using Support Vector Machines and Bio-inspired Metaheuristics., , , , , and . BIOSTEC (Selected Papers), volume 452 of Communications in Computer and Information Science, page 117-130. Springer, (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., , , , , and . VISAPP (1), page 401-404. SciTePress, (2013)Classification of mild cognitive impairment and Alzheimer's Disease with machine-learning techniques using 1H Magnetic Resonance Spectroscopy data., , , , , , and . Expert Syst. Appl., 42 (15-16): 6205-6214 (2015)