Bruno J. T. Fernandes

Orcid: 0000-0002-6001-3925

Affiliations:
  • University of Pernambuco, Recife, Brazil


According to our database1, Bruno J. T. Fernandes authored at least 80 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
Anomaly Detection in Smart Houses for Healthcare.
SN Comput. Sci., January, 2024

2023
Proxemic behavior in navigation tasks using reinforcement learning.
Neural Comput. Appl., August, 2023

Vessel Velocity Estimation and Docking Analysis: A Computer Vision Approach.
Algorithms, July, 2023

A Hybrid Swarm-Based System for Commodity Price Forecasting During the Covid-19 Pandemic.
IEEE Access, 2023

Hybrid Model and Ensemble for Inflation Forecasting: A Machine Learning Approach.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Enhancing Electronic Component Classification with Supervised Contrastive Learning: A Comparative Evaluation.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Fine-Tuning MultiFit for Enhanced Legal Sentence Basis Classification.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Evaluation of Deep Learning Model for Detecting Electronic Components in Few-Shot Learning Scenarios.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Time estimation for deep learning model's inference in distributed processing units.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Re-purposing Machine Learning Models: A Human Action Recognition Model Turned Violence Detector.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023


Anomaly Detection in Conveyor Belt Using a Deep Learning Model.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

General Cephalometric Landmark Detection for Different Source of X-Ray Images.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Optimization of Deep Neural Networks for Vehicle Classification.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Interpretable Diagnosis of Banana Leaf Sigatoka Disease using CNNs and Shapley Values.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Study of an unsteady amperometric biosensor using a computational model.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Detection of Cavities in Radiographs Using Machine Learning: Approaches for Limited Data.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Analysis of different machine learning approaches in the context of urban mobility: a systematic review.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Assessing the Effect of Urban Expansion and Deforestation on Temperature Rise in Cajazeiras, Brazil: A Data-Driven Approach.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

2022
Event-Based Angular Speed Measurement and Movement Monitoring.
Sensors, 2022

Synthesis of Satellite-Like Urban Images From Historical Maps Using Conditional GAN.
IEEE Geosci. Remote. Sens. Lett., 2022

Piracema.io: A rules-based tree model for phishing prediction.
Expert Syst. Appl., 2022

Analysis of Explainable Goal-Driven Reinforcement Learning in a Continuous Simulated Environment.
Algorithms, 2022

A Review of Neural Networks for Anomaly Detection.
IEEE Access, 2022

Convolution Optimization in Fire Classification.
IEEE Access, 2022

Learning from pseudo-labels: Self-training Electronic Components Detector for Waste Printed Circuit Boards.
Proceedings of the 35th SIBGRAPI Conference on Graphics, Patterns and Images, 2022

Explaining Agent's Decision-making in a Hierarchical Reinforcement Learning Scenario.
Proceedings of the 41st International Conference of the Chilean Computer Science Society, 2022

Reinforcement Learning for UAV control with Policy and Reward Shaping.
Proceedings of the 41st International Conference of the Chilean Computer Science Society, 2022

A Legal Information System for Intelligent Sentence Mining Applied to Civil Law.
Proceedings of the 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022

Classification of Legal Documents in Portuguese Language Based on Summarization.
Proceedings of the 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022

CatchPhish: Model for detecting homographic attacks on phishing pages.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
A multimodal approach using deep learning for fall detection.
Expert Syst. Appl., 2021

Explainable Deep Reinforcement Learning Using Introspection in a Non-episodic Task.
CoRR, 2021

Learning Proxemic Behavior Using Reinforcement Learning with Cognitive Agents.
CoRR, 2021

A Robust Approach for Continuous Interactive Actor-Critic Algorithms.
IEEE Access, 2021

A Framework for Anomaly Identification Applied on Fall Detection.
IEEE Access, 2021

A hybrid sequential system for inflation forecasting.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

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

Analysis of Social Robotic Navigation approaches: CNN Encoder and Incremental Learning as an alternative to Deep Reinforcement Learning.
CoRR, 2020

Deep Reinforcement Learning with Interactive Feedback in a Human-Robot Environment.
CoRR, 2020

Convolutional Neural Network to Detect and Measure Fetal Skull Circumference in Ultrasound Imaging.
IEEE Access, 2020

A Review on Image Inpainting Techniques and Datasets.
Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 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

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

Performance Improvement of Path Planning algorithms with Deep Learning Encoder Model.
Proceedings of the Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics, 2020

A Comparison of Humanoid Robot Simulators: A Quantitative Approach.
Proceedings of the Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics, 2020

A Robust Approach for Continuous Interactive Reinforcement Learning.
Proceedings of the HAI '20: 8th International Conference on Human-Agent Interaction, 2020

CNN Encoder to Reduce the Dimensionality of Data Image for Motion Planning.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Binary and Multi-label Defect Classification of Printed Circuit Board based on Transfer Learning.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

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

Human feedback in continuous actor-critic reinforcement learning.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018
Pyramidal neural networks with evolved variable receptive fields.
Neural Comput. Appl., 2018

Structured Pyramidal Neural Networks.
Int. J. Neural Syst., 2018

Non-negative Structured Pyramidal Neural Network for Pattern Recognition.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

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

Human action recognition with 3D convolutional neural network.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017

Anomaly detection in smart houses: Monitoring elderly daily behavior for fall detecting.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017

Extreme learning machine autoencoder for data augmentation.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017

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

A novel constructive algorithm for CANet.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Non-negative pyramidal neural network for parts-based learning.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
An AutoAssociative Neural Network for image segmentation.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016

Understanding how deep neural networks learn face expressions.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

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

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

Pyramidal Neural Networks with Variable Receptive Fields Designed by Genetic Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

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

Lateral Inhibition Pyramidal Neural Networks Designed by Particle Swarm Optimization.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Lateral Inhibition Pyramidal Neural Network for Detection of Optical Defocus (Zernike Z 5).
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013
Redes neurais com extração implícita de características para reconhecimento de padrões visuais.
PhD thesis, 2013

Lateral Inhibition Pyramidal Neural Network for Image Classification.
IEEE Trans. Cybern., 2013

AutoAssociative Pyramidal Neural Network for one class pattern classification with implicit feature extraction.
Expert Syst. Appl., 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

Automatic method for stock trading combining technical analysis and the Artificial Bee Colony Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2011
Autoassociative Pyramidal Neural Network for face verification.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2009
A receptive field based approach for face detection.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
A Pyramidal Neural Network Based on Nonclassical Receptive Field Inhibition.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

Classification and Segmentation of Visual Patterns Based on Receptive and Inhibitory Fields.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008


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