Filipe R. Cordeiro
Orcid: 0000-0001-5582-8436
According to our database1,
Filipe R. Cordeiro
authored at least 41 papers
between 2006 and 2023.
Collaborative distances:
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Bibliography
2023
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning.
Pattern Recognit., 2023
LongReMix: Robust learning with high confidence samples in a noisy label environment.
Pattern Recognit., 2023
A novel multi-objective grammar-based framework for the generation of Convolutional Neural Networks.
Expert Syst. Appl., 2023
Recognizing Handwritten Mathematical Expressions of Vertical Addition and Subtraction.
CoRR, 2023
Improving Mass Detection in Mammography Images: A Study of Weakly Supervised Learning and Class Activation Map Methods.
CoRR, 2023
Siamese Convolutional Neural Network for Heartbeat Classification Using Limited 12-Lead ECG Datasets.
IEEE Access, 2023
2022
A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels.
CoRR, 2022
A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels.
Proceedings of the 35th SIBGRAPI Conference on Graphics, Patterns and Images, 2022
2021
Expert Syst. Appl., 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
A New Grammar for Creating Convolutional Neural Networks Applied to Medical Image Classification.
Proceedings of the 34th SIBGRAPI Conference on Graphics, Patterns and Images, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
A Multi-Objective Grammatical Evolution Framework to Generate Convolutional Neural Network Architectures.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
A study of deep learning approaches for classification and detection chromosomes in metaphase images.
Mach. Vis. Appl., 2020
Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020
A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations?
Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2018
A convolutional neural network with feature fusion for real-time hand posture recognition.
Appl. Soft Comput., 2018
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
2017
Analysis of supervised and semi-supervised GrowCut applied to segmentation of masses in mammography images.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2017
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017
Random Walker with Fuzzy Initialization Applied to Segment Masses in Mammography Images.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017
SmartHome Energy Saving Using a Multi-objective Approach Based on Appliances Usage Profiles.
Proceedings of the Advances in Artificial Intelligence, 2017
2016
A semi-supervised fuzzy GrowCut algorithm to segment and classify regions of interest of mammographic images.
Expert Syst. Appl., 2016
An adaptive semi-supervised Fuzzy GrowCut algorithm to segment masses of regions of interest of mammographic images.
Appl. Soft Comput., 2016
Multi-objective optimization applied to unified second level cache memory hierarchy tuning aiming at energy and performance optimization.
Appl. Soft Comput., 2016
2015
Morphological extreme learning machines applied to detect and classify masses in mammograms.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Fuzzy Morphological Extreme Learning Machines to detect and classify masses in mammograms.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
2013
Proceedings of the MEDINFO 2013, 2013
2012
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012
2011
Int. J. Reconfigurable Comput., 2011
A Combined Optimization Method for Tuning Two-Level Memory Hierarchy Considering Energy Consumption.
EURASIP J. Embed. Syst., 2011
Proceedings of the IEEE International Conference on Systems, 2011
2010
MOPSO Applied to Architecture Tuning with Unified Second-Level Cache for Energy and Performance Optimization.
Proceedings of the 22st International Symposium on Computer Architecture and High Performance Computing, 2010
2008
An Optimization Mechanism Intended for Two-Level Cache Hierarchy to Improve Energy and Performance Using the NSGAII Algorithm.
Proceedings of the 20th International Symposium on Computer Architecture and High Performance Computing, 2008
2007
An Intelligent Mechanism to Explore a Two-Level Cache Hierarchy Considering Energy Consumption and Time Performance.
Proceedings of the 19th Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2007), 2007
2006
Heuristic for Two-Level Cache Hierarchy Exploration Considering Energy Consumption and Performance.
Proceedings of the Integrated Circuit and System Design. Power and Timing Modeling, 2006