Filipe R. Cordeiro

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 37

Top Topics

Image Classification

Convolutional Neural Networks

Hand Posture Recognition

Weakly Supervised Learning

Top Venues

Expert Syst. Appl.

Appl. Soft Comput.

Publications

Sérgio F. Chevtchenko, Ruan Carvalho, Luiz Rodrigues, Everton Souza, Daniel Carneiro Rosa, Filipe R. Cordeiro, Cicero Pereira, Thales Vieira, Marcelo Marinho, Diego Dermeval, Ig Ibert Bittencourt, Seiji Isotani, Valmir Macario
An Optimization Approach for Elementary School Handwritten Mathematical Expression Recognition. AIED Companion (2) (2024)
Everton Souza, Ermesson L. dos Santos, Luiz 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
Handwritten Equation Detection in Disconnected, Low-Cost Mobile Devices. AIED Companion (2) (2024)
Filipe R. Cordeiro, Ragav Sachdeva, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
LongReMix: Robust learning with high confidence samples in a noisy label environment. Pattern Recognit. 133 (2023)
Daniel Carneiro Rosa, Filipe R. Cordeiro, Ruan Carvalho, Everton Souza, Sérgio F. Chevtchenko, Luiz Rodrigues, Marcelo Marinho, Thales Vieira, Valmir Macario
Recognizing Handwritten Mathematical Expressions of Vertical Addition and Subtraction. SIBGRAPI (2023)
Cleber A. C. F. da Silva, Daniel Carneiro Rosa, Péricles B. C. de Miranda, Filipe R. Cordeiro, Tapas Si, André C. A. Nascimento, Rafael Ferreira Leite de Mello, Paulo S. G. de Mattos Neto
A novel multi-objective grammar-based framework for the generation of Convolutional Neural Networks. Expert Syst. Appl. 212 (2023)
Daniel Carneiro Rosa, Filipe R. Cordeiro, Ruan Carvalho, Everton Souza, Sérgio F. Chevtchenko, Luiz Rodrigues, Marcelo Marinho, Thales Vieira, Valmir Macario
Recognizing Handwritten Mathematical Expressions of Vertical Addition and Subtraction. CoRR (2023)
Vicente Sampaio, Filipe R. Cordeiro
Improving Mass Detection in Mammography Images: A Study of Weakly Supervised Learning and Class Activation Map Methods. CoRR (2023)
Vicente Sampaio, Filipe R. Cordeiro
Improving Mass Detection in Mammography Images: A Study of Weakly Supervised Learning and Class Activation Map Methods. SIBGRAPI (2023)
Emeson Santana, Gustavo Carneiro, Filipe R. Cordeiro
A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels. CoRR (2022)
Emeson Pereira, Gustavo Carneiro, Filipe R. Cordeiro
A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels. SIBGRAPI (2022)
Cleber A. C. F. da Silva, Daniel Carneiro Rosa, Péricles B. C. de Miranda, Filipe R. Cordeiro, Tapas Si, André C. A. Nascimento, Rafael Ferreira Leite de Mello, Paulo S. G. de Mattos Neto
A Multi-Objective Grammatical Evolution Framework to Generate Convolutional Neural Network Architectures. CEC (2021)
Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification. CoRR (2021)
Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
Self-supervised Mean Teacher for Semi-supervised Chest X-Ray Classification. MLMI@MICCAI (2021)
Cleber A. C. F. da Silva, Péricles B. C. de Miranda, Filipe R. Cordeiro
A New Grammar for Creating Convolutional Neural Networks Applied to Medical Image Classification. SIBGRAPI (2021)
Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels. CoRR (2021)
Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning. CoRR (2021)
Lucas V. Dias, Péricles B. C. de Miranda, André C. A. Nascimento, Filipe R. Cordeiro, Rafael Ferreira Mello, Ricardo B. C. Prudêncio
ImageDataset2Vec: An image dataset embedding for algorithm selection. Expert Syst. Appl. 180 (2021)
Filipe R. Cordeiro, Ragav Sachdeva, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment. CoRR (2021)
Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels. WACV (2021)
Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
Noisy Label Learning for Large-scale Medical Image Classification. CoRR (2021)
Filipe R. Cordeiro, Gustavo Carneiro
A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations? SIBGRAPI (2020)
Charles N. C. Freitas, Filipe R. Cordeiro, Valmir Macario
MyFood: A Food Segmentation and Classification System to Aid Nutritional Monitoring. CoRR (2020)
Filipe R. Cordeiro, Gustavo Carneiro
A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations? CoRR (2020)
Maria F. S. Andrade, Lucas V. Dias, Valmir Macario, Fabiana F. Lima, Suy F. Hwang, Júlio C. G. Silva, Filipe R. Cordeiro
A study of deep learning approaches for classification and detection chromosomes in metaphase images. Mach. Vis. Appl. 31 (7) (2020)
Paulo S. G. de Mattos Neto, Péricles B. C. de Miranda, George D. C. Cavalcanti, Tapas Si, Filipe R. Cordeiro, Mayara Castro
Layers Sequence Optimizing for Deep Neural Networks using Multiples Objectives. CEC (2020)
Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels. CoRR (2020)
Charles N. C. Freitas, Filipe R. Cordeiro, Valmir Macario
MyFood: A Food Segmentation and Classification System to Aid Nutritional Monitoring. SIBGRAPI (2020)
Sérgio F. Chevtchenko, Rafaella F. Vale, Filipe R. Cordeiro, Valmir Macario
Deep Learning for People Detection on Beach Images. BRACIS (2018)
Maria F. S. Andrade, Filipe R. Cordeiro, Valmir Macario, Fabiana F. Lima, Suy F. Hwang, Julyanne C. G. Mendonca
A Fuzzy-Adaptive Approach to Segment Metaphase Chromosome Images. BRACIS (2018)
Sérgio F. Chevtchenko, Rafaella F. Vale, Valmir Macario, Filipe R. Cordeiro
A convolutional neural network with feature fusion for real-time hand posture recognition. Appl. Soft Comput. 73 (2018)
Filipe R. Cordeiro, Wellington Pinheiro dos Santos, Abel G. Silva-Filho
Analysis of supervised and semi-supervised GrowCut applied to segmentation of masses in mammography images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 5 (4) (2017)
Henrique F. Lacerda, Allan R. S. Feitosa, Abel G. Silva-Filho, Wellington P. dos Santos, Filipe R. Cordeiro
SmartHome Energy Saving Using a Multi-objective Approach Based on Appliances Usage Profiles. Canadian Conference on AI (2017)
Filipe R. Cordeiro, Wellington P. dos Santos, Abel G. Silva-Filho
A semi-supervised fuzzy GrowCut algorithm to segment and classify regions of interest of mammographic images. Expert Syst. Appl. 65 (2016)
Filipe R. Cordeiro, Abel Guilhermino da Silva Filho
Multi-objective optimization applied to unified second level cache memory hierarchy tuning aiming at energy and performance optimization. Appl. Soft Comput. 49 (2016)
Filipe R. Cordeiro, Wellington Pinheiro dos Santos, Abel G. Silva-Filho
An adaptive semi-supervised Fuzzy GrowCut algorithm to segment masses of regions of interest of mammographic images. Appl. Soft Comput. 46 (2016)
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
Morphological extreme learning machines applied to detect and classify masses in mammograms. IJCNN (2015)
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
Fuzzy Morphological Extreme Learning Machines to detect and classify masses in mammograms. FUZZ-IEEE (2015)
Filipe R. Cordeiro, Wellington P. dos Santos, Abel G. Silva-Filho
Segmentation of Mammography by Applying GrowCut for Mass Detection. MedInfo (2013)
Filipe R. Cordeiro, Sidney M. L. Lima, Abel Guilhermino Silva-Filho, Wellington Pinheiro dos Santos
Segmentation of Mammography by Applying Extreme Learning Machine in Tumor Detection. IDEAL (2012)
Abel G. Silva-Filho, Filipe R. Cordeiro
A Combined Optimization Method for Tuning Two-Level Memory Hierarchy Considering Energy Consumption. EURASIP J. Embed. Syst. 2011 (2011)
Abel Guilhermino Silva-Filho, Filipe R. Cordeiro, Cristiano C. de Araujo, Adriano Sarmento, Millena Gomes, Edna Barros, Manoel Eusebio de Lima
An ESL Approach for Energy Consumption Analysis of Cache Memories in SoC Platforms. Int. J. Reconfigurable Comput. 2011 (2011)
Abel G. Silva-Filho, Filipe R. Cordeiro
DoE applied to two-level memory hierarchies for energy consumption reduction. SMC (2011)
Filipe R. Cordeiro, Abel G. Silva-Filho, G. R. Carvalho
MOPSO Applied to Architecture Tuning with Unified Second-Level Cache for Energy and Performance Optimization. SBAC-PAD (2010)
Abel G. Silva-Filho, Carmelo J. A. Bastos Filho, Davi M. A. Falcão, Filipe R. Cordeiro, Rodrigo M. C. S. Castro
An Optimization Mechanism Intended for Two-Level Cache Hierarchy to Improve Energy and Performance Using the NSGAII Algorithm. SBAC-PAD (2008)
Abel G. Silva-Filho, Carmelo J. A. Bastos Filho, Ricardo Massa Ferreira Lima, Davi M. A. Falcão, Filipe R. Cordeiro, Marília P. Lima
An Intelligent Mechanism to Explore a Two-Level Cache Hierarchy Considering Energy Consumption and Time Performance. SBAC-PAD (2007)
Abel G. Silva-Filho, Filipe R. Cordeiro, Remy Eskinazi Sant'Anna, Manoel Eusebio de Lima
Heuristic for Two-Level Cache Hierarchy Exploration Considering Energy Consumption and Performance. PATMOS (2006)