Cleber Zanchettin

发表

A Neuro-Fuzzy Model Applied to Odor Recognition in an Artificial Nose

Teresa Bernarda Ludermir, Cleber Zanchettin, 2003, HIS.

Feature subset selection in a methodology for training and improving artificial neural network weights and connections

Teresa Bernarda Ludermir, Cleber Zanchettin, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Hierarchical Attentional Hybrid Neural Networks for Document Classification pdf

Cleber Zanchettin, Jader Abreu, Luis Fred, 2019, ICANN.

A KNN-SVM hybrid model for cursive handwriting recognition

Byron L. D. Bezerra, Cleber Zanchettin, Washington W. Azevedo, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Improving the Courtesy Amount Recognition Accuracy Rate Through Delimiters Identification

George D. C. Cavalcanti, Byron L. D. Bezerra, Cleber Zanchettin, 2006 .

Dynamic Centroid Insertion and Adjustment for Data Sets with Multiple Imbalanced Classes

Cleber Zanchettin, Evandro J. R. Silva, C. Zanchettin, 2019, ICANN.

Isotropy Maximization Loss and Entropic Score: Accurate, Fast, Efficient, Scalable, and Turnkey Neural Networks Out-of-Distribution Detection Based on The Principle of Maximum Entropy.

Cleber Zanchettin, Tsang Ing Ren, David Macedo, 2019 .

Utilização de Morfismo como Classificador para Verificação de Assinaturas Off-line

Cleber Zanchettin, Lucindo de Melo, Anderson Apolonio L. Queiroz, 2014, SBSI.

Sistemas Neurais H ibridos para Reconhecimento de Padr oes em Narizes Artificiais

Cleber Zanchettin, Teresa B. Ludermir, Teresa B Ludermir, 2005 .

A MDRNN-SVM Hybrid Model for Cursive Offline Handwriting Recognition

Byron L. D. Bezerra, Cleber Zanchettin, Vinícius Braga de Andrade, 2012, ICANN.

Hybrid Technique for Artificial Neural Network Architecture and Weight Optimization

Teresa Bernarda Ludermir, Cleber Zanchettin, Teresa B Ludermir, 2005, PKDD.

The Impact of Dataset Complexity on Transfer Learning over Convolutional Neural Networks

Cleber Zanchettin, Adriano Lorena Inácio de Oliveira, Miguel D. de S. Wanderley, 2017, ICANN.

A MLP-SVM hybrid model for cursive handwriting recognition

Cleber Zanchettin, Washington W. Azevedo, C. Zanchettin, 2011, The 2011 International Joint Conference on Neural Networks.

Improving Universal Language Model Fine-Tuning using Attention Mechanism

Cleber Zanchettin, David Macêdo, K. L. Ponce-Guevara, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Odor recognition systems for natural gas odorization monitoring

Teresa Bernarda Ludermir, Leandro M. Almeida, Cleber Zanchettin, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

A HEURISTICBINARIZATIONALGORITHM FORDOCUMENTS WITH COMPLEX BACKGROUND

George D. C. Cavalcanti, Cleber Zanchettin, D. Bezerral, 2006 .

Objective Video Quality Assessment Based on Neural Networks

Carlos A. B. Mello, Cleber Zanchettin, Diego P. A. Menor, 2016, KES.

An Optimization Methodology for Neural Network Weights and Architectures

Teresa Bernarda Ludermir, Cleber Zanchettin, Akio Yamazaki, 2006, IEEE Transactions on Neural Networks.

Extreme Learning Machine for Real Time Recognition of Brazilian Sign Language

Teresa Bernarda Ludermir, Cleber Zanchettin, Edna Barros, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Towards Optimizing Convolutional Neural Networks for Robotic Surgery Skill Evaluation

Byron L. D. Bezerra, Cleber Zanchettin, David Macêdo, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

DQN-AF: Deep Q-Network based Adaptive Forwarding Strategy for Named Data Networking

Cleber Zanchettin, Kelvin Lopes Dias, Ygor Amaral B. L. de Sena, 2020, 2020 IEEE Latin-American Conference on Communications (LATINCOM).

A Heuristic Binarization Algorithm for Documents with Complex Background

George D. C. Cavalcanti, Byron L. D. Bezerra, Cleber Zanchettin, 2006, 2006 International Conference on Image Processing.

An Efficient Way of Combining SVMs for Handwritten Digit Recognition

Cleber Zanchettin, Alberto N. G. Lopes Filho, Renata F. P. Neves, 2012, ICANN.

Distantly-Supervised Neural Relation Extraction with Side Information using BERT

Cleber Zanchettin, Luciano Barbosa, David Macedo, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

An Efficient Thresholding Algorithm for Brazilian Bank Checks

Byron L. D. Bezerra, Carlos A. B. Mello, Cleber Zanchettin, 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).

Heartbeat Anomaly Detection using Adversarial Oversampling

Cleber Zanchettin, David Macêdo, Jefferson L. P. Lima, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Wavelet Filter for Noise Reduction and Signal Compression in an Artificial Nose

Teresa Bernarda Ludermir, Cleber Zanchettin, Teresa B Ludermir, 2003, HIS.

Evolving Fuzzy Neural Networks Applied to Odor Recognition

Teresa Bernarda Ludermir, Cleber Zanchettin, Teresa B Ludermir, 2004, ICONIP.

On the Existence of a Threshold in Class Imbalance Problems

Cleber Zanchettin, Evandro J. R. Silva, C. Zanchettin, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Advances in intelligent systems

Ana Carolina Lorena, Teresa Bernarda Ludermir, Cleber Zanchettin, 2014, Neurocomputing.

A neural architecture to identify courtesy amount delimiters

George D. C. Cavalcanti, Byron L. D. Bezerra, Cleber Zanchettin, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

An efficient static gesture recognizer embedded system based on ELM pattern recognition algorithm

Teresa Bernarda Ludermir, Cleber Zanchettin, Edna Barros, 2016, J. Syst. Archit..

Hybrid Optimization Technique for Artificial Neural Networks Design

Teresa Bernarda Ludermir, Cleber Zanchettin, 2009, ICEIS.

AM-MobileNet1D: A Portable Model for Speaker Recognition

Cleber Zanchettin, David Macedo, Joao Antonio Chagas Nunes, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

On Validation Setup for Multiclass Imbalanced Data Sets

Cleber Zanchettin, Evandro J. R. Silva, C. Zanchettin, 2016, 2016 5th Brazilian Conference on Intelligent Systems (BRACIS).

Enhancing batch normalized convolutional networks using displaced rectifier linear units: A systematic comparative study

Teresa Bernarda Ludermir, Cleber Zanchettin, Adriano Lorena Inácio de Oliveira, 2019, Expert Syst. Appl..

A Voronoi Diagram Based Classifier for Multiclass Imbalanced Data Sets

Cleber Zanchettin, Evandro J. R. Silva, 2016, 2016 5th Brazilian Conference on Intelligent Systems (BRACIS).

SegNetRes-CRF: A Deep Convolutional Encoder-Decoder Architecture for Semantic Image Segmentation

Teresa Bernarda Ludermir, Cleber Zanchettin, Adriano Lorena Inácio de Oliveira, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Simple Fast Convolutional Feature Learning

Cleber Zanchettin, David Macêdo, Teresa B. Ludermir, 2018 .

A Hybrid RNN Model for Cursive Offline Handwriting Recognition

Byron L. D. Bezerra, Cleber Zanchettin, Vinícius Braga de Andrade, 2012, 2012 Brazilian Symposium on Neural Networks.

An adaptive thresholding algorithm based on edge detection and morphological operations for document images

Carlos A. B. Mello, Cleber Zanchettin, Renata Freire de Paiva Neves, 2013, ACM Symposium on Document Engineering.

Energy Consumption Optimization for CSMA/CA Protocol Employing Machine Learning

Cleber Zanchettin, Renato M. de Moraes, Paulo F. C. Barbosa, 2020, 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring).

Comparison of the Effectiveness of Different Cost Functions in Global Optimization Techniques

Teresa Bernarda Ludermir, Cleber Zanchettin, 2007, 2007 International Joint Conference on Neural Networks.

DESIGN OF EXPERIMENTS IN NEURO-FUZZY SYSTEMS

Leandro L. Minku, Teresa Bernarda Ludermir, Cleber Zanchettin, 2010 .

An Efficient Thresholding Algorithm for Brazilian Bank Checks

Byron L. D. Bezerra, Carlos A. B. Mello, Cleber Zanchettin, 2007 .

A methodology to train and improve artificial neural networks' weights and connections

Teresa Bernarda Ludermir, Cleber Zanchettin, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Active Image Data Augmentation

Flávio Arthur Oliveira Santos, Cleber Zanchettin, Leonardo Nogueira Matos, 2019, HAIS.

A Dynamic Gesture Recognition System to Translate between Sign Languages in Complex Backgrounds

Cleber Zanchettin, Davi Hirafuji Neiva, 2016, 2016 5th Brazilian Conference on Intelligent Systems (BRACIS).

Handwriting recognition system for mobile accessibility to the visually impaired people

Byron L. D. Bezerra, Cleber Zanchettin, Felipe Mendonca Gouveia, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Squeezed Very Deep Convolutional Neural Networks for Text Classification pdf

Cleber Zanchettin, David Macêdo, Andréa B. Duque, 2019, ICANN.

QRNN: $q$ -Generalized Random Neural Network

Teresa Bernarda Ludermir, Cleber Zanchettin, Darko Stosic, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Offline handwritten signature verification through network radial basis functions optimized by Differential Evolution

Cleber Zanchettin, Saulo Henrique Leoncio de Medeiros Napoles, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Intrusion Detection for Cyber–Physical Systems Using Generative Adversarial Networks in Fog Environment

Georges Kaddoum, Cleber Zanchettin, Divanilson R. Campelo, 2020, IEEE Internet of Things Journal.

An Intelligent Monitoring System for Natural Gas Odorization

Cleber Zanchettin, Leandro Maciel Almeida, Frederico Duarte de Menezes, 2015, IEEE Sensors Journal.

A Multi-Layer Perceptron approach to threshold documents with complex background

Byron L. D. Bezerra, Carlos A. B. Mello, Cleber Zanchettin, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

Squeezed Deep 6DoF Object Detection using Knowledge Distillation

Veronica Teichrieb, Cleber Zanchettin, David Macedo, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

A hybrid intelligent system clonart for short and mid-term forecasting for the Brazilian Energy Distribution System

Jose Lima Alexandrino, Cleber Zanchettin, Edson Costa de Barros Carvalho Filho, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Additive Margin SincNet for Speaker Recognition

Cleber Zanchettin, David Macêdo, João Antônio Chagas Nunes, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

KutralNet: A Portable Deep Learning Model for Fire Recognition

Cleber Zanchettin, Francisco Cruz, David Macedo, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Gesture recognition: A review focusing on sign language in a mobile context

Cleber Zanchettin, Davi Hirafuji Neiva, C. Zanchettin, 2018, Expert Syst. Appl..

Feature and algorithm selection with Hybrid Intelligent Techniques

Teresa Bernarda Ludermir, Cleber Zanchettin, Ricardo B. C. Prudêncio, 2011, Int. J. Hybrid Intell. Syst..

Building Ensembles with Classifier Selection Using Self-Organizing Maps

Leandro M. Almeida, Cleber Zanchettin, Hilton Pintor Bezerra Leite, 2016, 2016 5th Brazilian Conference on Intelligent Systems (BRACIS).

Reducing SqueezeNet Storage Size with Depthwise Separable Convolutions

Teresa Bernarda Ludermir, Cleber Zanchettin, Adriano Lorena Inácio de Oliveira, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Paulo Novais, Teresa Bernarda Ludermir, Cleber Zanchettin, 2020, IDEAL.

Design of experiments in neuro-fuzzy systems

Teresa Bernarda Ludermir, Cleber Zanchettin, Ferdinand L. Minku, 2005, Fifth International Conference on Hybrid Intelligent Systems (HIS'05).

Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss pdf

Cleber Zanchettin, Alain Tapp, Ing Ren Tsang, 2019, ArXiv.

Speeding-up the Handwritten Signature Segmentation Process through an Optimized Fully Convolutional Neural Network

Byron L. D. Bezerra, Cleber Zanchettin, Estanislau Lima, 2019, 2019 International Conference on Document Analysis and Recognition (ICDAR).

Improving Deep Image Clustering With Spatial Transformer Layers

Cleber Zanchettin, Thiago V. M. Souza, C. Zanchettin, 2019, ICANN.

Hybrid intelligent immune system using Radial Basis Function applied to Time Series Analysis

Jose Lima Alexandrino, Cleber Zanchettin, Edson Costa de Barros Carvalho Filho, 2009, 2009 International Joint Conference on Neural Networks.

Metaclasses and zoning for handwritten document recognition

George D. C. Cavalcanti, Cleber Zanchettin, Milena R. P. Souza, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition

Cleber Zanchettin, David Macêdo, Cleison Correia de Amorim, 2019, ICANN.

A SVM based off-line handwritten digit recognizer

Carlos A. B. Mello, Cleber Zanchettin, Alberto N. G. Lopes Filho, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

The Influence of Different Cost Functions in Global Optimization Techniques

Teresa Bernarda Ludermir, Cleber Zanchettin, 2006, 2006 Ninth Brazilian Symposium on Neural Networks (SBRN'06).

Hybrid neural systems for pattern recognition in artificial noses

Teresa Bernarda Ludermir, Cleber Zanchettin, Teresa B Ludermir, 2005, Int. J. Neural Syst..

Entropic Out-of-Distribution Detection.

Cleber Zanchettin, Tsang Ing Ren, David Macedo, 2020 .

A Fast Fully Octave Convolutional Neural Network for Document Image Segmentation

Cleber Zanchettin, Ricardo Batista das Neves Junior, David Macedo, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Face recognition based on global and local features

Cleber Zanchettin, 2014, SAC.

Evolving Clonal Adaptive Resonance Theory based on ECOS theory

Jose Lima Alexandrino, Cleber Zanchettin, Edson Costa de Barros Carvalho Filho, 2011, The 2011 International Joint Conference on Neural Networks.

Otimização do Consumo de Energia em Redes Ad Hoc Aloha Empregando Deep Learning

Cleber Zanchettin, David Macêdo, Renato M. de Moraes, 2019 .

Artificial Immune System with ART Memory Hibridization

Jose Lima Alexandrino, Cleber Zanchettin, Edson Costa de Barros Carvalho Filho, 2007, 7th International Conference on Hybrid Intelligent Systems (HIS 2007).

Hybrid Training Method for MLP: Optimization of Architecture and Training

Teresa Bernarda Ludermir, Leandro M. Almeida, Cleber Zanchettin, 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

On the Influence of the Color Model for Image Boundary Detection Algorithms based on Convolutional Neural Networks

Carlos A. B. Mello, Cleber Zanchettin, Tiago J. dos Santos, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Morphological Skip-Gram: Using morphological knowledge to improve word representation pdf

Hendrik T. Macedo, Cleber Zanchettin, Hendrik Macedo, 2020, ArXiv.

Identification of Microorganism Colony Odor Signature using InceptionTime

Cleber Zanchettin, David Macêdo, Paulo M. Vasconcelos, 2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Training Aware Sigmoidal Optimizer pdf

Cleber Zanchettin, David Macedo, Teresa Ludermir, 2021, ArXiv.

Construction of Brazilian Regulatory Traffic Sign Recognition Dataset

Cleber Zanchettin, Leonardo Nogueira Matos, Bruno O. Prado, 2021, CIARP.

Multi-Class Mobile Money Service Financial Fraud Detection by Integrating Supervised Learning with Adversarial Autoencoders

Cleber Zanchettin, David Macêdo, Julio Cezar Soares Silva, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Entropic Out-of-Distribution Detection

Cleber Zanchettin, Tsang Ing Ren, Adriano L. I. Oliveira, 2019, 2021 International Joint Conference on Neural Networks (IJCNN).

A Hybrid Post Hoc Interpretability Approach for Deep Neural Networks

Cleber Zanchettin, Leonardo Nogueira Matos, Paulo Novais, 2021, HAIS.

Multi-Cue Adaptive Emotion Recognition Network pdf

Veronica Teichrieb, Cleber Zanchettin, David Macedo, 2021, ArXiv.

Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples

Cleber Zanchettin, Tsang Ing Ren, Adriano L. I. Oliveira, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Morphological Skip-Gram: Replacing FastText characters n-gram with morphological knowledge

Hendrik T. Macedo, Cleber Zanchettin, Flávio Arthur O. Santos, 2021, Inteligencia Artif..

ASL-Skeleton3D and ASL-Phono: Two Novel Datasets for the American Sign Language pdf

Cleber Zanchettin, Cleison Correia de Amorim, C. Zanchettin, 2022, SSRN Electronic Journal.

On the Impact of Interpretability Methods in Active Image Augmentation Method pdf

Paulo Novais, Cleber Zanchettin, Leonardo Matos, 2021, ArXiv.

Isotropic Maximization Loss and Entropic Score: Fast, Accurate, Scalable, Unexposed, Turnkey, and Native Neural Networks Out-of-Distribution Detection.

Cleber Zanchettin, Alain Tapp, Tsang Ing Ren, 2019 .

Detecting and treating invasion in the courtesy amount field on bank checks

George D. C. Cavalcanti, Byron L. D. Bezerra, Cleber Zanchettin, 2008 .