Bruno J. T. Fernandes
Orcid: 0000-0002-6001-3925Affiliations:
- University of Pernambuco, Recife, Brazil
According to our database1,
Bruno J. T. Fernandes
authored at least 84 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
Artif. Intell. Rev., May, 2024
Beyond clean data: Exploring the effects of label noise on object detection performance.
Knowl. Based Syst., 2024
The use of reinforcement learning algorithms in object tracking: A systematic literature review.
Neurocomputing, 2024
2023
Neural Comput. Appl., August, 2023
Algorithms, July, 2023
A Hybrid Swarm-Based System for Commodity Price Forecasting During the Covid-19 Pandemic.
IEEE Access, 2023
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
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
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
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023
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
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
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023
2022
IEEE Geosci. Remote. Sens. Lett., 2022
Expert Syst. Appl., 2022
Analysis of Explainable Goal-Driven Reinforcement Learning in a Continuous Simulated Environment.
Algorithms, 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
Proceedings of the 41st International Conference of the Chilean Computer Science Society, 2022
Proceedings of the 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022
Proceedings of the 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
Expert Syst. Appl., 2021
CoRR, 2021
CoRR, 2021
IEEE Access, 2021
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021
2020
Analysis of Social Robotic Navigation approaches: CNN Encoder and Incremental Learning as an alternative to Deep Reinforcement Learning.
CoRR, 2020
CoRR, 2020
Convolutional Neural Network to Detect and Measure Fetal Skull Circumference in Ultrasound Imaging.
IEEE Access, 2020
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
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
Proceedings of the Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics, 2020
Proceedings of the HAI '20: 8th International Conference on Human-Agent Interaction, 2020
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
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
2018
Neural Comput. Appl., 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
Comput. Vis. Image Underst., 2017
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
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
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
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
IEEE Trans. Cybern., 2013
AutoAssociative Pyramidal Neural Network for one class pattern classification with implicit feature extraction.
Expert Syst. Appl., 2013
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
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
2009
Proceedings of the International Joint Conference on Neural Networks, 2009
2008
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