Banca de QUALIFICAÇÃO: ELIONAI MOURA CORDEIRO

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE : ELIONAI MOURA CORDEIRO
DATA : 26/02/2018
HORA: 09:00
LOCAL: IMD (SALA B206)
TÍTULO:

Autogating in Flow Cytometry Data using SVM Classifiers for Bacterioplankton Identification


PALAVRAS-CHAVES:

Flow Cytometry. Support Vector Machine. Enviromental Analysis. Autogating. Machine Learning.


PÁGINAS: 72
GRANDE ÁREA: Ciências Exatas e da Terra
ÁREA: Ciência da Computação
RESUMO:

This master tesis shows the results of a methodology proposal for bacterioplankton identification using a machine learning approach named SVM. Samples used were taken from 19 high elevated lakes located at Pyrenees Mountains. Samples generated 74 databases after been analyzed by a specialist to serve as input to the algorithm. We observed the viability of this method with 3.35% of error in identification. Furthermore, there is no isolated direct correlation between robustness of the prediction models and high complexity of the input data but, indeed, the algorithm settings, function cost and variables choice have an important role in the performance as well.


MEMBROS DA BANCA:
Presidente - 347628 - ADRIAO DUARTE DORIA NETO
Interno - 1669545 - DANIEL SABINO AMORIM DE ARAUJO
Interno - 2170415 - JORGE ESTEFANO SANTANA DE SOUZA
Notícia cadastrada em: 08/02/2018 17:02
SIGAA | Superintendência de Tecnologia da Informação - (84) 3342 2210 | Copyright © 2006-2024 - UFRN - sigaa04-producao.info.ufrn.br.sigaa04-producao