Filipe R. Cordeiro

53 papers A 1B 5C 4Journal 28Unranked 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
ANNE: Adaptive Nearest Neighbours and Eigenvector-based sample selection for robust learning with noisy labels.
Pattern Recognit.
Filipe R. Cordeiro, Gustavo Carneiro
2025 J jnl
Analise de Desaprendizado de Maquina em Modelos de Classificacao de Imagens Medicas.
CoRR
Andreza M. C. Falcao, Filipe R. Cordeiro
2025 J jnl
CCT: A Cyclic Co-Teaching Approach to Train Deep Neural Networks With Noisy Labels.
IEEE Access
Jorge Kysnney Santos Kamassury, Henrique Pickler, Filipe R. Cordeiro, Danilo Silva
2025 — conf
Data Augmentation Improves Machine Unlearning.
SIBGRAPI
Andreza M. C. Falcao, Filipe R. Cordeiro
2025 J jnl
Data Augmentation Improves Machine Unlearning.
CoRR
Andreza M. C. Falcao, Filipe R. Cordeiro
2025 J jnl
PSSCL: A progressive sample selection framework with contrastive loss designed for noisy labels.
Pattern Recognit.
Qian Zhang, Yi Zhu, Filipe R. Cordeiro, Qiu Chen
2024 J jnl
ANNE: Adaptive Nearest Neighbors and Eigenvector-based Sample Selection for Robust Learning with Noisy Labels.
CoRR
Filipe R. Cordeiro, Gustavo Carneiro
2024 — conf
An Optimization Approach for Elementary School Handwritten Mathematical Expression Recognition.
AIED Companion (2)
Sérgio F. Chevtchenko, Ruan Carvalho, Luiz A. L. Rodrigues, Everton Souza, Daniel Carneiro Rosa, Filipe R. Cordeiro, Cicero Pereira, Thales Vieira, Marcelo Marinho, Diego Dermeval, Ig Ibert Bittencourt, Seiji Isotani, Valmir Macario
2024 — conf
Handwritten Equation Detection in Disconnected, Low-Cost Mobile Devices.
AIED Companion (2)
Everton Souza, Ermesson L. dos Santos, Luiz A. L. Rodrigues, Daniel Carneiro Rosa, Filipe R. Cordeiro, Cicero Pereira, Sérgio F. Chevtchenko, Ruan Carvalho, Thales Vieira, Marcelo Marinho, Diego Dermeval, Ig Ibert Bittencourt, Seiji Isotani, Valmir Macario
2023 J jnl
A novel multi-objective grammar-based framework for the generation of Convolutional Neural Networks.
Expert Syst. Appl.
Cleber A. C. F. da Silva, Daniel Carneiro Rosa, Péricles B. C. Miranda, Filipe R. Cordeiro, Tapas Si, André C. A. Nascimento, Rafael Ferreira Leite de Mello, Paulo S. G. de Mattos Neto
2023 — conf
Improving Mass Detection in Mammography Images: A Study of Weakly Supervised Learning and Class Activation Map Methods.
SIBGRAPI
Vicente Sampaio, Filipe R. Cordeiro
2023 J jnl
Improving Mass Detection in Mammography Images: A Study of Weakly Supervised Learning and Class Activation Map Methods.
CoRR
Vicente Sampaio, Filipe R. Cordeiro
2023 J jnl
LongReMix: Robust learning with high confidence samples in a noisy label environment.
Pattern Recognit.
Filipe R. Cordeiro, Ragav Sachdeva, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2023 — conf
Recognizing Handwritten Mathematical Expressions of Vertical Addition and Subtraction.
SIBGRAPI
Daniel Carneiro Rosa, Filipe R. Cordeiro, Ruan Carvalho, Everton Souza, Sérgio F. Chevtchenko, Luiz Rodrigues, Marcelo Marinho, Thales Vieira, Valmir Macario
2023 J jnl
Recognizing Handwritten Mathematical Expressions of Vertical Addition and Subtraction.
CoRR
Daniel Carneiro Rosa, Filipe R. Cordeiro, Ruan Carvalho, Everton Souza, Sérgio F. Chevtchenko, Luiz Rodrigues, Marcelo Marinho, Thales Vieira, Valmir Macario
2022 — conf
A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels.
SIBGRAPI
Emeson Pereira, Gustavo Carneiro, Filipe R. Cordeiro
2022 J jnl
A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels.
CoRR
Emeson Santana, Gustavo Carneiro, Filipe R. Cordeiro
2021 B conf
A Multi-Objective Grammatical Evolution Framework to Generate Convolutional Neural Network Architectures.
CEC
Cleber A. C. F. da Silva, Daniel Carneiro Rosa, Péricles B. C. Miranda, Filipe R. Cordeiro, Tapas Si, André C. A. Nascimento, Rafael Ferreira Leite de Mello, Paulo S. G. de Mattos Neto
2021 — conf
A New Grammar for Creating Convolutional Neural Networks Applied to Medical Image Classification.
SIBGRAPI
Cleber A. C. F. da Silva, Péricles B. C. Miranda, Filipe R. Cordeiro
2021 A conf
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels.
WACV
Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2021 J jnl
ImageDataset2Vec: An image dataset embedding for algorithm selection.
Expert Syst. Appl.
Lucas V. Dias, Péricles B. C. Miranda, André C. A. Nascimento, Filipe R. Cordeiro, Rafael Ferreira Mello, Ricardo B. C. Prudêncio
2021 J jnl
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment.
CoRR
Filipe R. Cordeiro, Ragav Sachdeva, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2021 J jnl
Noisy Label Learning for Large-scale Medical Image Classification.
CoRR
Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2021 J jnl
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels.
CoRR
Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2021 J jnl
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning.
CoRR
Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2021 — conf
Self-supervised Mean Teacher for Semi-supervised Chest X-Ray Classification.
MLMI@MICCAI
Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2021 J jnl
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification.
CoRR
Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2020 — conf
A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations?
SIBGRAPI
Filipe R. Cordeiro, Gustavo Carneiro
2020 J jnl
A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations?
CoRR
Filipe R. Cordeiro, Gustavo Carneiro
2020 J jnl
A study of deep learning approaches for classification and detection chromosomes in metaphase images.
Mach. Vis. Appl.
Maria F. S. Andrade, Lucas V. Dias, Valmir Macario, Fabiana F. Lima, Suy F. Hwang, Júlio C. G. Silva, Filipe R. Cordeiro
2020 J jnl
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels.
CoRR
Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2020 B conf
Layers Sequence Optimizing for Deep Neural Networks using Multiples Objectives.
CEC
Paulo S. G. de Mattos Neto, Péricles B. C. Miranda, George D. C. Cavalcanti, Tapas Si, Filipe R. Cordeiro, Mayara Castro
2020 — conf
MyFood: A Food Segmentation and Classification System to Aid Nutritional Monitoring.
SIBGRAPI
Charles N. C. Freitas, Filipe R. Cordeiro, Valmir Macario
2020 J jnl
MyFood: A Food Segmentation and Classification System to Aid Nutritional Monitoring.
CoRR
Charles N. C. Freitas, Filipe R. Cordeiro, Valmir Macario
2018 — conf
A Fuzzy-Adaptive Approach to Segment Metaphase Chromosome Images.
BRACIS
Maria F. S. Andrade, Filipe R. Cordeiro, Valmir Macario, Fabiana F. Lima, Suy F. Hwang, Julyanne C. G. Mendonca
2018 J jnl
A convolutional neural network with feature fusion for real-time hand posture recognition.
Appl. Soft Comput.
Sérgio F. Chevtchenko, Rafaella F. Vale, Valmir Macario, Filipe R. Cordeiro
2018 — conf
Deep Learning for People Detection on Beach Images.
BRACIS
Sérgio F. Chevtchenko, Rafaella F. Vale, Filipe R. Cordeiro, Valmir Macario
2017 J jnl
Analysis of supervised and semi-supervised GrowCut applied to segmentation of masses in mammography images.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
Filipe R. Cordeiro, Wellington Pinheiro dos Santos, Abel G. Silva-Filho
2017 — conf
SmartHome Energy Saving Using a Multi-objective Approach Based on Appliances Usage Profiles.
Canadian AI
Henrique F. Lacerda, Allan R. S. Feitosa, Abel G. Silva-Filho, Wellington P. dos Santos, Filipe R. Cordeiro
2016 J jnl
A semi-supervised fuzzy GrowCut algorithm to segment and classify regions of interest of mammographic images.
Expert Syst. Appl.
Filipe R. Cordeiro, Wellington P. dos Santos, Abel G. Silva-Filho
2016 J jnl
An adaptive semi-supervised Fuzzy GrowCut algorithm to segment masses of regions of interest of mammographic images.
Appl. Soft Comput.
Filipe R. Cordeiro, Wellington Pinheiro dos Santos, Abel G. Silva-Filho
2016 J jnl
Multi-objective optimization applied to unified second level cache memory hierarchy tuning aiming at energy and performance optimization.
Appl. Soft Comput.
Filipe R. Cordeiro, Abel Guilhermino da Silva Filho
2015 B conf
Fuzzy Morphological Extreme Learning Machines to detect and classify masses in mammograms.
FUZZ-IEEE
Washington W. Azevedo, Sidney M. L. Lima, Isabella M. M. Fernandes, Arthur D. D. Rocha, Filipe R. Cordeiro, Abel G. da Silva Filho, Wellington P. dos Santos
2015 B conf
Morphological extreme learning machines applied to detect and classify masses in mammograms.
IJCNN
Washington W. Azevedo, Sidney M. L. Lima, Isabella M. M. Fernandes, Arthur D. D. Rocha, Filipe R. Cordeiro, Abel G. da Silva Filho, Wellington P. dos Santos
2013 — conf
Segmentation of Mammography by Applying GrowCut for Mass Detection.
MedInfo
Filipe R. Cordeiro, Wellington P. dos Santos, Abel G. Silva-Filho
2012 C conf
Segmentation of Mammography by Applying Extreme Learning Machine in Tumor Detection.
IDEAL
Filipe R. Cordeiro, Sidney M. L. Lima, Abel Guilhermino Silva-Filho, Wellington Pinheiro dos Santos
2011 J jnl
A Combined Optimization Method for Tuning Two-Level Memory Hierarchy Considering Energy Consumption.
EURASIP J. Embed. Syst.
Abel G. Silva-Filho, Filipe R. Cordeiro
2011 J jnl
An ESL Approach for Energy Consumption Analysis of Cache Memories in SoC Platforms.
Int. J. Reconfigurable Comput.
Abel Guilhermino Silva-Filho, Filipe R. Cordeiro, Cristiano C. de Araújo, Adriano Sarmento, Millena Gomes, Edna Barros, Manoel Eusébio de Lima
2011 B conf
DoE applied to two-level memory hierarchies for energy consumption reduction.
SMC
Abel G. Silva-Filho, Filipe R. Cordeiro
2010 C conf
MOPSO Applied to Architecture Tuning with Unified Second-Level Cache for Energy and Performance Optimization.
SBAC-PAD
Filipe R. Cordeiro, Abel G. Silva-Filho, G. R. Carvalho
2008 C conf
An Optimization Mechanism Intended for Two-Level Cache Hierarchy to Improve Energy and Performance Using the NSGAII Algorithm.
SBAC-PAD
Abel G. Silva-Filho, Carmelo J. A. Bastos Filho, Davi M. A. Falcão, Filipe R. Cordeiro, Rodrigo M. C. S. Castro
2007 C conf
An Intelligent Mechanism to Explore a Two-Level Cache Hierarchy Considering Energy Consumption and Time Performance.
SBAC-PAD
Abel G. Silva-Filho, Carmelo J. A. Bastos Filho, Ricardo Massa Ferreira Lima, Davi M. A. Falcão, Filipe R. Cordeiro, Marília P. Lima
2006 — conf
Heuristic for Two-Level Cache Hierarchy Exploration Considering Energy Consumption and Performance.
PATMOS
Abel G. Silva-Filho, Filipe R. Cordeiro, Remy Eskinazi Sant'Anna, Manoel Eusébio de Lima