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Cleber Zanchettin
Cleber Zanchettin
Universidade Federal de Pernambuco
Verified email at cin.ufpe.br - Homepage
Title
Cited by
Cited by
Year
An optimization methodology for neural network weights and architectures
TB Ludermir, A Yamazaki, C Zanchettin
IEEE Transactions on Neural Networks 17 (6), 1452-1459, 2006
2172006
A KNN-SVM hybrid model for cursive handwriting recognition
C Zanchettin, BLD Bezerra, WW Azevedo
The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012
782012
Intrusion detection for cyber–physical systems using generative adversarial networks in fog environment
PF de Araujo-Filho, G Kaddoum, DR Campelo, AG Santos, D Macêdo, ...
IEEE Internet of Things Journal 8 (8), 6247-6256, 2020
662020
Hybrid training method for MLP: optimization of architecture and training
C Zanchettin, TB Ludermir, LM Almeida
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2011
622011
Gesture recognition: A review focusing on sign language in a mobile context
DH Neiva, C Zanchettin
Expert Systems with Applications 103, 159-183, 2018
612018
A SVM based off-line handwritten digit recognizer
RFP Neves, ANG Lopes Filho, CAB Mello, C Zanchettin
2011 IEEE international conference on systems, man, and cybernetics, 510-515, 2011
552011
Spatial-temporal graph convolutional networks for sign language recognition
CC de Amorim, D Macêdo, C Zanchettin
Artificial Neural Networks and Machine Learning–ICANN 2019: Workshop and …, 2019
512019
Wavelet filter for noise reduction and signal compression in an artificial nose
C Zanchettin, TB Ludermir
Applied Soft Computing 7 (1), 246-256, 2007
492007
Hierarchical attentional hybrid neural networks for document classification
J Abreu, L Fred, D Macêdo, C Zanchettin
Artificial Neural Networks and Machine Learning–ICANN 2019: Workshop and …, 2019
442019
Enhancing batch normalized convolutional networks using displaced rectifier linear units: A systematic comparative study
D Macêdo, C Zanchettin, ALI Oliveira, T Ludermir
Expert Systems with Applications 124, 271-281, 2019
282019
Squeezed very deep convolutional neural networks for text classification
AB Duque, LLJ Santos, D Macêdo, C Zanchettin
Artificial Neural Networks and Machine Learning–ICANN 2019: Theoretical …, 2019
262019
Heartbeat anomaly detection using adversarial oversampling
JLP Lima, D Macêdo, C Zanchettin
2019 International Joint Conference on Neural Networks (IJCNN), 1-7, 2019
232019
Entropic out-of-distribution detection
D Macêdo, TI Ren, C Zanchettin, ALI Oliveira, T Ludermir
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
22*2021
Reducing SqueezeNet storage size with depthwise separable convolutions
AG Santos, CO de Souza, C Zanchettin, D Macedo, ALI Oliveira, ...
2018 International Joint Conference on Neural Networks (IJCNN), 1-6, 2018
202018
Design of experiments in neuro-fuzzy systems
C Zanchettin, LL Minku, TB Ludermir
International Journal of Computational Intelligence and Applications 9 (02 …, 2010
202010
Global optimization methods for designing and training feedforward artificial neural networks
C Zanchettin, TB Ludermir
Advances in Neural Networks 14, 328-337, 2007
202007
A heuristic binarization algorithm for documents with complex background
GDC Cavalcanti, EFA Silva, C Zanchettin, BLD Bezerra, RC Doria, ...
2006 International Conference on Image Processing, 389-392, 2006
192006
QRNN: -Generalized Random Neural Network
D Stosic, D Stosic, C Zanchettin, T Ludermir, B Stosic
IEEE transactions on neural networks and learning systems 28 (2), 383-390, 2016
182016
Sistemas neurais híbridos para reconhecimento de padrões em narizes artificiais
C Zanchettin, TB Ludermir
Sba: Controle & Automação Sociedade Brasileira de Automatica 16, 159-172, 2005
182005
Additive margin sincnet for speaker recognition
JAC Nunes, D Macêdo, C Zanchettin
2019 International Joint Conference on Neural Networks (IJCNN), 1-5, 2019
162019
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Articles 1–20