Alisson Marques da Silva
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Ano
A fast learning algorithm for evolving neo-fuzzy neuron
AM Silva, W Caminhas, A Lemos, F Gomide
Applied Soft Computing 14, 194-209, 2014
822014
Evolving Neo-Fuzzy Neural Network with Adaptive Feature Selection
AM Silva, WM Caminhas, AP Lemos, F Gomide
1st BRICS Countries Congress on Computational intelligence (BRICS-CCI), 341-349, 2013
252013
Structure-based virtual screening: From classical to artificial intelligence
EHB Maia, LC Assis, TA de Oliveira, AM da Silva, AG Taranto
Frontiers in chemistry 8, 2020
242020
Real-time nonlinear modeling of a twin rotor MIMO system using evolving neuro-fuzzy network
A Silva, W Caminhas, A Lemos, F Gomide
Computational Intelligence in Control and Automation (CICA), 2014 IEEE …, 2014
182014
Octopus: a platform for the virtual high-throughput screening of a pool of compounds against a set of molecular targets
EHB Maia, VA Campos, B dos Reis Santos, MS Costa, IG Lima, SJ Greco, ...
Journal of molecular modeling 23 (1), 26, 2017
142017
Successful application of virtual screening and molecular dynamics simulations against antimalarial molecular targets
RR Nunes, MS Costa, BR Santos, AL Fonseca, LS Ferreira, RCR Chagas, ...
Memórias do Instituto Oswaldo Cruz 111 (12), 721-730, 2016
142016
Docking-based virtual screening of Brazilian natural compounds using the OOMT as the pharmacological target database
AP Carregal, FV Maciel, JB Carregal, B dos Reis Santos, AM da Silva, ...
Journal of molecular modeling 23 (4), 111, 2017
132017
Brazilian malaria molecular targets (BraMMT): selected receptors for virtual high-throughput screening experiments
RR Nunes, AL Fonseca, ACS Pinto, EHB Maia, AM Silva, FP Varotti, ...
Memórias do Instituto Oswaldo Cruz 114, 2019
122019
Utilização de Redes Neurais Artificiais para Classificação de Spam
AM Silva
CEFET-MG (Mestrado), 2009
122009
Molecular architect: a user-friendly workflow for virtual screening
EHB Maia, LR Medaglia, AM da Silva, AG Taranto
ACS omega 5 (12), 6628-6640, 2020
112020
Evolving neural fuzzy network with adaptive feature selection
AM Silva, WM Caminhas, AP Lemos, F Gomide
2012 11th International Conference on Machine Learning and Applications 2 …, 2012
92012
MILKDE: A new approach for multiple instance learning based on positive instance selection and kernel density estimation
AWC Faria, FGF Coelho, AM Silva, HP Rocha, GM Almeida, AP Lemos, ...
Engineering Applications of Artificial Intelligence 59, 196-204, 2017
72017
Fatores inibidores e facilitadores na decisão de compra de vestuário na internet: um estudo com estudantes do Ensino Superior
AM Silva
Temática 16, 125-138, 2020
62020
Feature Selection, vol. 13
AMD Silva
Springer, Berlin, Germany, 2015
62015
MBDC Filho, and JF Queiroz,“State forecasting in electric power systems,”
A Silva
IEE Generation, Transmission and Distribution 130 (5), 237-244, 1983
61983
Adaptive input selection and evolving neural fuzzy networks modeling
AM Silva, W Caminhas, A Lemos, F Gomide
International Journal of Computational Intelligence Systems 8 (sup1), 3-14, 2015
42015
Adoção de técnicas fuzzy para análise de usabilidade de software
AM da Silva, DK Piassi, MP da Silva, TMR Dias
Revista de Informática Aplicada 11 (1), 2015
32015
Optimization of dengue virus, genome, assembling using gsflx 454 pyrosequencing data:, evaluation of assembling strategies
SMM Casseb, JF Cardoso, R Ramos, A Carneiro, M Nunes, ...
Genet. Mol. Res 11, 3688-3695, 2012
32012
Análise de Usabilidade de Software Apoiada por Técnicas Nebulosas
DK Piassi, AM Silva, MP Silva
II CBSF - II Congresso Brasileiro de Sistemas Fuzzy, 949-967, 2012
32012
Uso de Redes Neurais MLP em Sistema de Bloqueio de Websites Baseado em Conteúdo
E Affonso, AM Silva, MP Silva, TMR Dias, GF Moita
CILAMCE 2010 - XXXI Iberian-Latin American Congress on Computational Methods …, 2010
3*2010
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