Cleber Zanchettin

Orcid: 0000-0001-6421-9747

According to our database1, Cleber Zanchettin authored at least 110 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Energy Consumption Tmote Sky Ultra low power IEEE 802.15.4.
Dataset, January, 2023

Energy Consumption CSMA/CA and slotted ALOHA (μ-AMPS).
Dataset, January, 2023

Predictive Authoring for Brazilian Portuguese Augmentative and Alternative Communication.
CoRR, 2023

Evaluating Transformer-based Models in the Information Extraction of Fiscal Documents.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

A Semi-Supervised Autoencoder Approach for Efficient Intrusion Detection in Network Traffic.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Exploring the Impact of Synthetic Data on Human Activity Recognition Tasks.
Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

Self-calibrated U-Net for Document Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2023

Learning What, Where and Which to Transfer.
Proceedings of the International Joint Conference on Neural Networks, 2023

Improving small object detection with DETRAug.
Proceedings of the International Joint Conference on Neural Networks, 2023

Exploring Image Classification Robustness and Interpretability with Right for the Right Reasons Data Augmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

An Augmentative and Alternative Communication Synthetic Corpus for Brazilian Portuguese.
Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2023

Image Classification Understanding with Model Inspector Tool.
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents.
Proceedings of the Progress in Artificial Intelligence, 2023

Optimization Strategies for BERT-Based Named Entity Recognition.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples.
IEEE Trans. Neural Networks Learn. Syst., 2022

On the Impact of Interpretability Methods in Active Image Augmentation Method.
Log. J. IGPL, 2022

PictoBERT: Transformers for next pictogram prediction.
Expert Syst. Appl., 2022

Multi-human Fall Detection and Localization in Videos.
Comput. Vis. Image Underst., 2022

Distinction Maximization Loss: Efficiently Improving Classification Accuracy, Uncertainty Estimation, and Out-of-Distribution Detection Simply Replacing the Loss and Calibrating.
CoRR, 2022

ASL-Skeleton3D and ASL-Phono: Two Novel Datasets for the American Sign Language.
CoRR, 2022

Convolution Optimization in Fire Classification.
IEEE Access, 2022

Visual Analysis of Deep Learning Methods for Industrial Vacuum Metalized Film Product.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

An Adapted GRASP Approach for Hyperparameter Search on Deep Networks Applied to Tabular Data.
Proceedings of the International Joint Conference on Neural Networks, 2022

Unsupervised Multi-view Multi-person 3D Pose Estimation Using Reprojection Error.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

LogBERT-BiLSTM: Detecting Malicious Web Requests.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Training Aware Sigmoidal Optimization.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

Detecting Malicious HTTP Requests Without Log Parser Using RequestBERT-BiLSTM.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021
Intrusion Detection for Cyber-Physical Systems Using Generative Adversarial Networks in Fog Environment.
IEEE Internet Things J., 2021

Multi-Cue Adaptive Emotion Recognition Network.
CoRR, 2021

Training Aware Sigmoidal Optimizer.
CoRR, 2021

Morphological Skip-Gram: Replacing FastText characters n-gram with morphological knowledge.
Inteligencia Artif., 2021

Identification of Microorganism Colony Odor Signature using InceptionTime.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Multi-Class Mobile Money Service Financial Fraud Detection by Integrating Supervised Learning with Adversarial Autoencoders.
Proceedings of the International Joint Conference on Neural Networks, 2021

Entropic Out-of-Distribution Detection.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Hybrid Post Hoc Interpretability Approach for Deep Neural Networks.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

Construction of Brazilian Regulatory Traffic Sign Recognition Dataset.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

2020
HU-PageScan: a fully convolutional neural network for document page crop.
IET Image Process., 2020

Morphological Skip-Gram: Using morphological knowledge to improve word representation.
CoRR, 2020

Energy Consumption Optimization for CSMA/CA Protocol Employing Machine Learning.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

DQN-AF: Deep Q-Network based Adaptive Forwarding Strategy for Named Data Networking.
Proceedings of the IEEE Latin-American Conference on Communications, 2020

AM-MobileNet1D: A Portable Model for Speaker Recognition.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Distantly-Supervised Neural Relation Extraction with Side Information using BERT.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Fast Fully Octave Convolutional Neural Network for Document Image Segmentation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Squeezed Deep 6DoF Object Detection using Knowledge Distillation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

KutralNet: A Portable Deep Learning Model for Fire Recognition.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

On Analysing Similarity Knowledge Transfer by Ensembles.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

2019
Enhancing batch normalized convolutional networks using displaced rectifier linear units: A systematic comparative study.
Expert Syst. Appl., 2019

Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss.
CoRR, 2019

Improving Universal Language Model Fine-Tuning using Attention Mechanism.
Proceedings of the International Joint Conference on Neural Networks, 2019

On the Influence of the Color Model for Image Boundary Detection Algorithms based on Convolutional Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

Additive Margin SincNet for Speaker Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2019

Heartbeat Anomaly Detection using Adversarial Oversampling.
Proceedings of the International Joint Conference on Neural Networks, 2019

Towards Optimizing Convolutional Neural Networks for Robotic Surgery Skill Evaluation.
Proceedings of the International Joint Conference on Neural Networks, 2019

Speeding-up the Handwritten Signature Segmentation Process through an Optimized Fully Convolutional Neural Network.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Improving Deep Image Clustering with Spatial Transformer Layers.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

Dynamic Centroid Insertion and Adjustment for Data Sets with Multiple Imbalanced Classes.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Squeezed Very Deep Convolutional Neural Networks for Text Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Hierarchical Attentional Hybrid Neural Networks for Document Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Active Image Data Augmentation.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019

2018
Gesture recognition: A review focusing on sign language in a mobile context.
Expert Syst. Appl., 2018

Reducing SqueezeNet Storage Size with Depthwise Separable Convolutions.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

SegNetRes-CRF: A Deep Convolutional Encoder-Decoder Architecture for Semantic Image Segmentation.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
QRNN: q -Generalized Random Neural Network.
IEEE Trans. Neural Networks Learn. Syst., 2017

The Impact of Dataset Complexity on Transfer Learning over Convolutional Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016
An efficient static gesture recognizer embedded system based on ELM pattern recognition algorithm.
J. Syst. Archit., 2016

Objective Video Quality Assessment Based on Neural Networks.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016

On Validation Setup for Multiclass Imbalanced Data Sets.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

A Voronoi Diagram Based Classifier for Multiclass Imbalanced Data Sets.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

A Dynamic Gesture Recognition System to Translate between Sign Languages in Complex Backgrounds.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

Building Ensembles with Classifier Selection Using Self-Organizing Maps.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015
On the Existence of a Threshold in Class Imbalance Problems.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Extreme Learning Machine for Real Time Recognition of Brazilian Sign Language.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

2014
Advances in intelligent systems.
Neurocomputing, 2014

Handwriting recognition system for mobile accessibility to the visually impaired people.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Utilização de Morfismo como Classificador para Verificação de Assinaturas Off-line.
Proceedings of the 10th Brazilian Symposium on Information Systems, 2014

Face recognition based on global and local features.
Proceedings of the Symposium on Applied Computing, 2014

2013
Metaclasses and zoning for handwritten document recognition.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

An adaptive thresholding algorithm based on edge detection and morphological operations for document images.
Proceedings of the ACM Symposium on Document Engineering 2013, 2013

2012
A Hybrid RNN Model for Cursive Offline Handwriting Recognition.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

A KNN-SVM hybrid model for cursive handwriting recognition.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Odor recognition systems for natural gas odorization monitoring.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Offline handwritten signature verification through network radial basis functions optimized by Differential Evolution.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

An Efficient Way of Combining SVMs for Handwritten Digit Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

A MDRNN-SVM Hybrid Model for Cursive Offline Handwriting Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
Hybrid Training Method for MLP: Optimization of Architecture and Training.
IEEE Trans. Syst. Man Cybern. Part B, 2011

Feature and algorithm selection with Hybrid Intelligent Techniques.
Int. J. Hybrid Intell. Syst., 2011

A Multi-Layer Perceptron approach to threshold documents with complex background.
Proceedings of the IEEE International Conference on Systems, 2011

A SVM based off-line handwritten digit recognizer.
Proceedings of the IEEE International Conference on Systems, 2011

A MLP-SVM hybrid model for cursive handwriting recognition.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Evolving Clonal Adaptive Resonance Theory based on ECOS theory.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Design of Experiments in Neuro-Fuzzy Systems.
Int. J. Comput. Intell. Appl., 2010

2009
Hybrid intelligent immune system using Radial Basis Function applied to Time Series Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2009

Hybrid Optimization Technique for Artificial Neural Networks Design.
Proceedings of the ICEIS 2009, 2009

2008
Feature subset selection in a methodology for training and improving artificial neural network weights and connections.
Proceedings of the International Joint Conference on Neural Networks, 2008

A hybrid intelligent system clonart for short and mid-term forecasting for the Brazilian Energy Distribution System.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
Wavelet filter for noise reduction and signal compression in an artificial nose.
Appl. Soft Comput., 2007

Comparison of the Effectiveness of Different Cost Functions in Global Optimization Techniques.
Proceedings of the International Joint Conference on Neural Networks, 2007

An Efficient Thresholding Algorithm for Brazilian Bank Checks.
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 2007

Artificial Immune System with ART Memory Hibridization.
Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007

2006
An Optimization Methodology for Neural Network Weights and Architectures.
IEEE Trans. Neural Networks, 2006

The Influence of Different Cost Functions in Global Optimization Techniques.
Proceedings of the SBRN 2006, 2006

A methodology to train and improve artificial neural networks' weights and connections.
Proceedings of the International Joint Conference on Neural Networks, 2006

A neural architecture to identify courtesy amount delimiters.
Proceedings of the International Joint Conference on Neural Networks, 2006

A Heuristic Binarization Algorithm for Documents with Complex Background.
Proceedings of the International Conference on Image Processing, 2006

2005
Hybrid neural systems for pattern recognition in artificial noses.
Int. J. Neural Syst., 2005

Hybrid Technique for Artificial Neural Network Architecture and Weight Optimization.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Design of Experiments in Neuro-Fuzzy Systems.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

2004
Evolving Fuzzy Neural Networks Applied to Odor Recognition.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

2003
A Neuro-Fuzzy Model Applied to Odor Recognition in an Artificial Nose.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003


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