Byron L. D. Bezerra

Orcid: 0000-0002-8327-9734

According to our database1, Byron L. D. Bezerra authored at least 64 papers between 2002 and 2024.

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

Timeline

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Bibliography

2024
Data Augmentation for Offline Handwritten Text Recognition: A Systematic Literature Review.
SN Comput. Sci., 2024

ICDAR 2024 Competition on Handwritten Text Recognition in Brazilian Essays - BRESSAY.
Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

BRESSAY: A Brazilian Portuguese Dataset for Offline Handwritten Text Recognition.
Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

How Does Changing the Optical Character Recognition System Impact the Layout-Aware Named Entity Recognition Models?
Proceedings of the Document Analysis Systems - 16th IAPR International Workshop, 2024

DocLightDetect: A New Algorithm for Occlusion Classification in Identification Documents.
Proceedings of the Document Analysis Systems - 16th IAPR International Workshop, 2024

An End-to-End Approach for Handwriting Recognition: From Handwritten Text Lines to Complete Pages.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
A Bayesian Risk Classification System Based on Two-Stage Clustering For Flashover Occurrence In High Voltage Insulator String.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

An Approach for Analysing Law Processes based on Hierarchical Activities and Clustering.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

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

Novel Image Dataset and Proposal of Framework for Visual Semantic Analysis Applied on Object Dangerousness Prediction.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

A Robust Approach to Detect Occlusions During Camera-Based Document Scanning.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Interpretability of an Automatic Handwritten Signature Verification Model.
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

2022
A robust handwritten recognition system for learning on different data restriction scenarios.
Pattern Recognit. Lett., 2022

2021
Analysis of Distinct Feature Groups in the Credit Scoring Problem.
J. Inf. Data Manag., 2021

Identifying Process Graphs Properties with Network Science Metrics.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

How Far Deep Learning Systems for Text Detection and Recognition in Natural Scenes are Affected by Occlusion?
Proceedings of the Document Analysis and Recognition, 2021

A Handwritten Signature Segmentation Approach for Multi-resolution and Complex Documents Acquired by Multiple Sources.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

ICDAR 2021 Competition on Components Segmentation Task of Document Photos.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

2020
Gauss-Seidel Extreme Learning Machines.
SN Comput. Sci., 2020

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

HDSR-Flor: A Robust End-to-End System to Solve the Handwritten Digit String Recognition Problem in Real Complex Scenarios.
IEEE Access, 2020

HTR-Flor: A Deep Learning System for Offline Handwritten Text Recognition.
Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020

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

FCN+RL: A Fully Convolutional Network followed by Refinement Layers to Offline Handwritten Signature Segmentation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

HTR-Flor++: A Handwritten Text Recognition System Based on a Pipeline of Optical and Language Models.
Proceedings of the DocEng '20: ACM Symposium on Document Engineering 2020, Virtual Event, CA, USA, September 29, 2020

2019
Deep learning approach to generate offline handwritten signatures based on online samples.
IET Biom., 2019

Electromyography-controlled car: A proof of concept based on surface electromyography, Extreme Learning Machines and low-cost open hardware.
Comput. Electr. Eng., 2019

Automatic Optical Inspection for Defective PCB Detection Using Transfer Learning.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019

Lightweight and efficient octave convolutional neural network for fire recognition.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 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

OctShuffleMLT: A Compact Octave Based Neural Network for End-to-End Multilingual Text Detection and Recognition.
Proceedings of the 8th International Workshop on Camera-Based Document Analysis and Recognition, 2019

2018
A Fully Convolutional Network for Signature Segmentation from Document Images.
Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018

Boosting the Deep Multidimensional Long-Short-Term Memory Network for Handwritten Recognition Systems.
Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018

2017
A dynamic gesture recognition and prediction system using the convexity approach.
Comput. Vis. Image Underst., 2017

Development and Integration of Natural Brazilian Portuguese Synthetic Voices to Framework FIVE.
Proceedings of the Text, Speech, and Dialogue - 20th International Conference, 2017

Tracking and counting of vehicles for flow analysis from urban traffic videos.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017

2016
Smartphone camera document detection via Geodesic Object Proposals.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016

2015
HAGR-D: A Novel Approach for Gesture Recognition with Depth Maps.
Sensors, 2015

Adoption of Software Product Line Development to an Environment of Voice User Interface.
Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering, 2015

FSSGR: Feature Selection System to Dynamic Gesture Recognition.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2015 Workshops, 2015

2014
A Dynamic Gesture Recognition System based on CIPBR Algorithm.
Polibits, 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

A collaborative filtering framework based on local and global similarities with similarity tie-breaking criteria.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Convexity local contour sequences for gesture recognition.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

An Effective Dynamic Gesture Recognition System Based on the Feature Vector Reduction for SURF and LCS.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

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

A recommender system architecture for an inter-application environment.
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

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

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

2011
Symbolic data analysis tools for recommendation systems.
Knowl. Inf. Syst., 2011

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

2009
A Filtering Algorithm for Highly Noisy Images of Brazilian ATM Bank Checks.
Proceedings of the IEEE International Conference on Systems, 2009

2008
Soluções em personalização de conteúdo baseadas em classificadores simbólicos modais.
PhD thesis, 2008

A new algorithm to threshold the courtesy amount of Brazilian bank checks.
Proceedings of the IEEE International Conference on Systems, 2008

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

2006
C^2: : A Collaborative Recommendation System Based on Modal Symbolic User Profile.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 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

2004
A symbolic approach for content-based information filtering.
Inf. Process. Lett., 2004

Collaborative Filtering Based on Modal Symbolic User Profiles: Knowing You in the First Meeting.
Proceedings of the Advances in Artificial Intelligence, 2004

A Symbolic Hybrid Approach to Face the New User Problem in Recommender Systems.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2002
Speeding up Recommender Systems with Meta-prototypes.
Proceedings of the Advances in Artificial Intelligence, 2002


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