Heuristic for Two-Level Cache Hierarchy Exploration Considering Energy Consumption and Performance. - Abel G. Silva-Filho; Filipe R. Cordeiro; Remy Eskinazi Sant'Anna; Manoel Eusébio de Lima (PATMOS, 2006)

An Intelligent Mechanism to Explore a Two-Level Cache Hierarchy Considering Energy Consumption and Time Performance. - Abel G. Silva-Filho; Carmelo J. A. Bastos Filho; Ricardo Massa Ferreira Lima; Davi M. A. Falcão; Filipe R. Cordeiro; Marília P. Lima (SBAC-PAD, 2007)

An Optimization Mechanism Intended for Two-Level Cache Hierarchy to Improve Energy and Performance Using the NSGAII Algorithm. - Abel G. Silva-Filho; Carmelo J. A. Bastos Filho; Davi M. A. Falcão; Filipe R. Cordeiro; Rodrigo M. C. S. Castro (SBAC-PAD, 2008)

MOPSO Applied to Architecture Tuning with Unified Second-Level Cache for Energy and Performance Optimization. - Filipe R. Cordeiro; Abel G. Silva-Filho; G. R. Carvalho (SBAC-PAD, 2010)

DoE applied to two-level memory hierarchies for energy consumption reduction. - Abel G. Silva-Filho; Filipe R. Cordeiro (SMC, 2011)

A Combined Optimization Method for Tuning Two-Level Memory Hierarchy Considering Energy Consumption. - Abel G. Silva-Filho; Filipe R. Cordeiro (EURASIP J. Embed. Syst., 2011)

An ESL Approach for Energy Consumption Analysis of Cache Memories in SoC Platforms. - Abel Guilhermino Silva-Filho; Filipe R. Cordeiro; Cristiano C. de Araújo; Adriano Sarmento; Millena Gomes; Edna Barros; Manoel Eusébio de Lima (Int. J. Reconfigurable Comput., 2011)

Segmentation of Mammography by Applying Extreme Learning Machine in Tumor Detection. - Filipe R. Cordeiro; Sidney M. L. Lima; Abel Guilhermino Silva-Filho; Wellington Pinheiro dos Santos (IDEAL, 2012)

Segmentation of Mammography by Applying GrowCut for Mass Detection. - Filipe R. Cordeiro; Wellington P. dos Santos; Abel G. Silva-Filho (MedInfo, 2013)

Fuzzy Morphological Extreme Learning Machines to detect and classify masses in mammograms. - 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 (FUZZ-IEEE, 2015)

Morphological extreme learning machines applied to detect and classify masses in mammograms. - 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 (IJCNN, 2015)

Desenvolvimento de um mecanismo semi-supervisionado para segmentação de tumores em imagens de mamografia digital - Filipe Rolim Cordeiro (2015)

Multi-objective optimization applied to unified second level cache memory hierarchy tuning aiming at energy and performance optimization. - Filipe R. Cordeiro; Abel Guilhermino da Silva Filho (Appl. Soft Comput., 2016)

An adaptive semi-supervised Fuzzy GrowCut algorithm to segment masses of regions of interest of mammographic images. - Filipe R. Cordeiro; Wellington Pinheiro dos Santos; Abel G. Silva-Filho (Appl. Soft Comput., 2016)

A semi-supervised fuzzy GrowCut algorithm to segment and classify regions of interest of mammographic images. - Filipe R. Cordeiro; Wellington P. dos Santos; Abel G. Silva-Filho (Expert Syst. Appl., 2016)

SmartHome Energy Saving Using a Multi-objective Approach Based on Appliances Usage Profiles. - Henrique F. Lacerda; Allan R. S. Feitosa; Abel G. Silva-Filho; Wellington P. dos Santos; Filipe R. Cordeiro (Canadian AI, 2017)

Random Walker with Fuzzy Initialization Applied to Segment Masses in Mammography Images. - Filipe Rolim Cordeiro; Kallebe Felipe Pereira Bezerra; Wellington Pinheiro dos Santos (CBMS, 2017)

Automatic Segmentation of Melanoma in Dermoscopy Images Using Fuzzy Numbers. - Jessica Barbosa Diniz; Filipe Rolim Cordeiro (CBMS, 2017)

Detecting People from Beach Images. - Ricardo Luna da Silva; Sérgio F. Chevtchenko; Allan Alves de Moura; Filipe Rolim Cordeiro; Valmir Macario (ICTAI, 2017)

Analysis of supervised and semi-supervised GrowCut applied to segmentation of masses in mammography images. - Filipe R. Cordeiro; Wellington Pinheiro dos Santos; Abel G. Silva-Filho (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2017)

A Fuzzy-Adaptive Approach to Segment Metaphase Chromosome Images. - Maria F. S. Andrade; Filipe R. Cordeiro; Valmir Macario; Fabiana F. Lima; Suy F. Hwang; Julyanne C. G. Mendonca (BRACIS, 2018)

Deep Learning for People Detection on Beach Images. - Sérgio F. Chevtchenko; Rafaella F. Vale; Filipe R. Cordeiro; Valmir Macario (BRACIS, 2018)

A convolutional neural network with feature fusion for real-time hand posture recognition. - Sérgio F. Chevtchenko; Rafaella F. Vale; Valmir Macario; Filipe R. Cordeiro (Appl. Soft Comput., 2018)

Layers Sequence Optimizing for Deep Neural Networks using Multiples Objectives. - Paulo S. G. de Mattos Neto; Péricles B. C. Miranda; George D. C. Cavalcanti; Tapas Si; Filipe R. Cordeiro; Mayara Castro (CEC, 2020)

A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations? - Filipe R. Cordeiro; Gustavo Carneiro 001 (SIBGRAPI, 2020)

MyFood: A Food Segmentation and Classification System to Aid Nutritional Monitoring. - Charles N. C. Freitas; Filipe R. Cordeiro; Valmir Macario (SIBGRAPI, 2020)

A study of deep learning approaches for classification and detection chromosomes in metaphase images. - Maria F. S. Andrade; Lucas V. Dias; Valmir Macario; Fabiana F. Lima; Suy F. Hwang; Júlio C. G. Silva; Filipe R. Cordeiro (Mach. Vis. Appl., 2020)

PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels. - Filipe Rolim Cordeiro; Vasileios Belagiannis; Ian Reid 001; Gustavo Carneiro 001 (BMVC, 2021)

A Multi-Objective Grammatical Evolution Framework to Generate Convolutional Neural Network Architectures. - 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 (CEC, 2021)

Self-supervised Mean Teacher for Semi-supervised Chest X-Ray Classification. - Fengbei Liu; Yu Tian 001; Filipe R. Cordeiro; Vasileios Belagiannis; Ian D. Reid 001; Gustavo Carneiro 001 (MLMI@MICCAI, 2021)

A New Grammar for Creating Convolutional Neural Networks Applied to Medical Image Classification. - Cleber A. C. F. da Silva; Péricles B. C. Miranda; Filipe R. Cordeiro (SIBGRAPI, 2021)

EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels. - Ragav Sachdeva; Filipe R. Cordeiro; Vasileios Belagiannis; Ian D. Reid 001; Gustavo Carneiro 001 (WACV, 2021)

Noisy Label Learning for Large-scale Medical Image Classification. - Fengbei Liu; Yu Tian 001; Filipe R. Cordeiro; Vasileios Belagiannis; Ian D. Reid 001; Gustavo Carneiro 001 (CoRR, 2021)

ImageDataset2Vec: An image dataset embedding for algorithm selection. - Lucas V. Dias; Péricles B. C. Miranda; André C. A. Nascimento; Filipe R. Cordeiro; Rafael Ferreira Mello; Ricardo B. C. Prudêncio (Expert Syst. Appl., 2021)

A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels. - Emeson Pereira; Gustavo Carneiro 001; Filipe R. Cordeiro (SIBGRAPI, 2022)

A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels. - Emeson Santana; Gustavo Carneiro 001; Filipe R. Cordeiro (CoRR, 2022)

Recognizing Handwritten Mathematical Expressions of Vertical Addition and Subtraction. - Daniel Carneiro Rosa; Filipe R. Cordeiro; Ruan Carvalho; Everton Souza; Sérgio F. Chevtchenko; Luiz Rodrigues 001; Marcelo Marinho; Thales Vieira; Valmir Macario (SIBGRAPI, 2023)

Improving Mass Detection in Mammography Images: A Study of Weakly Supervised Learning and Class Activation Map Methods. - Vicente Sampaio; Filipe R. Cordeiro (SIBGRAPI, 2023)

Siamese Convolutional Neural Network for Heartbeat Classification Using Limited 12-Lead ECG Datasets. - Eduardo Moraes de Miranda Vasconcellos; Bruno Georgevich Ferreira; Jorge S. Leandro; Baldoino Fonseca dos Santos Neto; Filipe Rolim Cordeiro; Idágene Aparecida Cestari; Marco Antonio Gutierrez 001; Alvaro Sobrinho; Thiago D. Cordeiro (IEEE Access, 2023)

A novel multi-objective grammar-based framework for the generation of Convolutional Neural Networks. - 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 (Expert Syst. Appl., 2023)

LongReMix: Robust learning with high confidence samples in a noisy label environment. - Filipe R. Cordeiro; Ragav Sachdeva; Vasileios Belagiannis; Ian D. Reid 001; Gustavo Carneiro 001 (Pattern Recognit., 2023)

ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning. - Ragav Sachdeva; Filipe Rolim Cordeiro; Vasileios Belagiannis; Ian Reid 001; Gustavo Carneiro 001 (Pattern Recognit., 2023)

An Optimization Approach for Elementary School Handwritten Mathematical Expression Recognition. - 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; et al. (AIED Companion (2), 2024)

Handwritten Equation Detection in Disconnected, Low-Cost Mobile Devices. - 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; et al. (AIED Companion (2), 2024)

ANNE: Adaptive Nearest Neighbors and Eigenvector-based Sample Selection for Robust Learning with Noisy Labels. - Filipe R. Cordeiro; Gustavo Carneiro 001 (CoRR, 2024)

CCT: A Cyclic Co-Teaching Approach to Train Deep Neural Networks With Noisy Labels. - Jorge Kysnney Santos Kamassury; Henrique Pickler; Filipe R. Cordeiro; Danilo Silva 001 (IEEE Access, 2025)

ANNE: Adaptive Nearest Neighbours and Eigenvector-based sample selection for robust learning with noisy labels. - Filipe R. Cordeiro; Gustavo Carneiro 001 (Pattern Recognit., 2025)

PSSCL: A progressive sample selection framework with contrastive loss designed for noisy labels. - Qian Zhang 013; Yi Zhu; Filipe R. Cordeiro; Qiu Chen (Pattern Recognit., 2025)