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Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
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Travelled to:
4 × Germany
Collaborated with:
A.C.d.Paiva P.M.d.S.Carvalho L.B.Nascimento A.P.Nunes A.C.M.d.Oliveira V.R.d.S.Jr. A.d.A.Neto L.d.O.Martins E.C.d.Silva M.Gattass C.A.d.Silva S.M.B.Netto G.B.Junior R.A.Nunes
Talks about:
use (6) imag (5) svm (5) classif (4) nodul (4) mass (4) lung (4) simpson (3) divers (3) index (3)

Person: Aristófanes Corrêa Silva

DBLP DBLP: Silva:Arist=oacute=fanes_Corr=ecirc=a

Contributed to:

MLDM 20122012
MLDM 20092009
MLDM 20072007
MLDM 20052005

Wrote 7 papers:

MLDM-2012-CarvalhoPS #classification #image #using
Classification of Breast Tissues in Mammographic Images in Mass and Non-mass Using McIntosh’s Diversity Index and SVM (PMdSC, ACdP, ACS), pp. 482–494.
MLDM-2012-NascimentoPS #classification #image #using
Lung Nodules Classification in CT Images Using Shannon and Simpson Diversity Indices and SVM (LBN, ACdP, ACS), pp. 454–466.
MLDM-2009-NunesSP #detection #image #using
Detection of Masses in Mammographic Images Using Simpson’s Diversity Index in Circular Regions and SVM (APN, ACS, ACdP), pp. 540–553.
MLDM-2009-SilvaSNPJN #classification #geometry #image #metric #using
Lung Nodules Classification in CT Images Using Simpson’s Index, Geometrical Measures and One-Class SVM (CAdS, ACS, SMBN, ACdP, GBJ, RAN), pp. 810–822.
MLDM-2007-MartinsSSPG #classification #image #using
Classification of Breast Masses in Mammogram Images Using Ripley’s K Function and Support Vector Machine (LdOM, ECdS, ACS, ACdP, MG), pp. 784–794.
MLDM-2005-SilvaJNP #geometry #learning #metric #using
Diagnosis of Lung Nodule Using Reinforcement Learning and Geometric Measures (ACS, VRdSJ, AdAN, ACdP), pp. 295–304.
MLDM-2005-SilvaPO #comparison
Comparison of FLDA, MLP and SVM in Diagnosis of Lung Nodule (ACS, ACdP, ACMdO), pp. 285–294.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.