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Filipe R. Cordeiro
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2020 – today
- 2024
- [c28]Everton Souza
, Ermesson L. dos Santos
Handwritten Equation Detection in Disconnected, Low-Cost Mobile Devices. AIED Companion (2) 2024: 132-139 - [c27]Sérgio F. Chevtchenko
An Optimization Approach for Elementary School Handwritten Mathematical Expression Recognition. AIED Companion (2) 2024: 234-241 - 2023
- [j13]Eduardo Moraes de Miranda Vasconcellos, Bruno Georgevich Ferreira, Jorge S. Leandro, Baldoino Fonseca dos Santos Neto
Siamese Convolutional Neural Network for Heartbeat Classification Using Limited 12-Lead ECG Datasets. IEEE Access 11: 5365-5376 (2023) - [j12]Cleber A. C. F. da Silva
A novel multi-objective grammar-based framework for the generation of Convolutional Neural Networks. Expert Syst. Appl. 212: 118670 (2023) - [j11]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: 109013 (2023) - [j10]Ragav Sachdeva, Filipe Rolim Cordeiro, Vasileios Belagiannis
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning. Pattern Recognit. 134: 109121 (2023) - [c26]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: 73-78 - [c25]Vicente Sampaio, Filipe R. Cordeiro:
Improving Mass Detection in Mammography Images: A Study of Weakly Supervised Learning and Class Activation Map Methods. SIBGRAPI 2023: 139-144 - [i13]Vicente Sampaio, Filipe R. Cordeiro:
Improving Mass Detection in Mammography Images: A Study of Weakly Supervised Learning and Class Activation Map Methods. CoRR abs/2308.03486 (2023) - [i12]Daniel Carneiro Rosa, Filipe R. Cordeiro, Ruan Carvalho, Everton Souza, Sérgio F. Chevtchenko
Recognizing Handwritten Mathematical Expressions of Vertical Addition and Subtraction. CoRR abs/2308.05820 (2023) - 2022
- [c24]Emeson Pereira, Gustavo Carneiro
A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels. SIBGRAPI 2022: 25-30 - [i11]Emeson Santana, Gustavo Carneiro
A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels. CoRR abs/2208.11176 (2022) - 2021
- [j9]Lucas V. Dias, Péricles B. C. de Miranda, André C. A. Nascimento
ImageDataset2Vec: An image dataset embedding for algorithm selection. Expert Syst. Appl. 180: 115053 (2021) - [c23]Filipe Rolim Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro:
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels. BMVC 2021: 187 - [c22]Cleber A. C. F. da Silva, Daniel Carneiro Rosa, Péricles B. C. de Miranda, Filipe R. Cordeiro, Tapas Si
A Multi-Objective Grammatical Evolution Framework to Generate Convolutional Neural Network Architectures. CEC 2021: 2187-2194 - [c21]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: 426-436 - [c20]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: 97-104 - [c19]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: 3606-3614 - [i10]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 abs/2103.03629 (2021) - [i9]Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
Noisy Label Learning for Large-scale Medical Image Classification. CoRR abs/2103.04053 (2021) - [i8]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 abs/2103.04173 (2021) - [i7]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 abs/2103.11395 (2021) - [i6]Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels. CoRR abs/2110.11809 (2021) - 2020
- [j8]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): 65 (2020) - [c18]Paulo S. G. de Mattos Neto, Péricles B. C. de Miranda, George D. C. Cavalcanti, Tapas Si
Layers Sequence Optimizing for Deep Neural Networks using Multiples Objectives. CEC 2020: 1-8 - [c17]Filipe R. Cordeiro
A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations? SIBGRAPI 2020: 9-16 - [c16]Charles N. C. Freitas, Filipe R. Cordeiro
MyFood: A Food Segmentation and Classification System to Aid Nutritional Monitoring. SIBGRAPI 2020: 234-239 - [i5]Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels. CoRR abs/2011.05704 (2020) - [i4]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 abs/2012.03061 (2020) - [i3]Charles N. C. Freitas, Filipe R. Cordeiro, Valmir Macario:
MyFood: A Food Segmentation and Classification System to Aid Nutritional Monitoring. CoRR abs/2012.03087 (2020)
2010 – 2019
- 2018
- [j7]Sérgio F. Chevtchenko
A convolutional neural network with feature fusion for real-time hand posture recognition. Appl. Soft Comput. 73: 748-766 (2018) - [c15]Sérgio F. Chevtchenko
Deep Learning for People Detection on Beach Images. BRACIS 2018: 218-223 - [c14]Maria F. S. Andrade, Filipe R. Cordeiro
A Fuzzy-Adaptive Approach to Segment Metaphase Chromosome Images. BRACIS 2018: 290-295 - [i2]Filipe Rolim Cordeiro, Wellington Pinheiro dos Santos, Abel Guilhermino da Silva Filho:
A semi-supervised fuzzy GrowCut algorithm to segment and classify regions of interest of mammographic images. CoRR abs/1801.01443 (2018) - 2017
- [j6]Filipe R. Cordeiro
Analysis of supervised and semi-supervised GrowCut applied to segmentation of masses in mammography images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 5(4): 297-315 (2017) - [c13]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 AI 2017: 142-147 - [c12]Jessica Barbosa Diniz, Filipe Rolim Cordeiro
Automatic Segmentation of Melanoma in Dermoscopy Images Using Fuzzy Numbers. CBMS 2017: 150-155 - [c11]Filipe Rolim Cordeiro
Random Walker with Fuzzy Initialization Applied to Segment Masses in Mammography Images. CBMS 2017: 156-161 - [c10]Ricardo Luna da Silva, Sérgio F. Chevtchenko
Detecting People from Beach Images. ICTAI 2017: 636-643 - [i1]Filipe Rolim Cordeiro, Wellington Pinheiro dos Santos, Abel Guilhermino da Silva Filho:
Analysis of supervised and semi-supervised GrowCut applied to segmentation of masses in mammography images. CoRR abs/1712.07312 (2017) - 2016
- [j5]Filipe R. Cordeiro
An adaptive semi-supervised Fuzzy GrowCut algorithm to segment masses of regions of interest of mammographic images. Appl. Soft Comput. 46: 613-628 (2016) - [j4]Filipe R. Cordeiro
Multi-objective optimization applied to unified second level cache memory hierarchy tuning aiming at energy and performance optimization. Appl. Soft Comput. 49: 603-610 (2016) - [j3]Filipe R. Cordeiro
A semi-supervised fuzzy GrowCut algorithm to segment and classify regions of interest of mammographic images. Expert Syst. Appl. 65: 116-126 (2016) - 2015
- [c9]Washington W. Azevedo, Sidney M. L. Lima, Isabella M. M. Fernandes, Arthur D. D. Rocha, Filipe R. Cordeiro
Fuzzy Morphological Extreme Learning Machines to detect and classify masses in mammograms. FUZZ-IEEE 2015: 1-8 - [c8]Washington W. Azevedo, Sidney M. L. Lima, Isabella M. M. Fernandes, Arthur D. D. Rocha, Filipe R. Cordeiro
Morphological extreme learning machines applied to detect and classify masses in mammograms. IJCNN 2015: 1-8 - 2013
- [c7]Filipe R. Cordeiro
Segmentation of Mammography by Applying GrowCut for Mass Detection. MedInfo 2013: 87-91 - 2012
- [c6]Filipe R. Cordeiro
Segmentation of Mammography by Applying Extreme Learning Machine in Tumor Detection. IDEAL 2012: 92-100 - 2011
- [j2]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) - [j1]Abel Guilhermino Silva-Filho, Filipe R. Cordeiro
An ESL Approach for Energy Consumption Analysis of Cache Memories in SoC Platforms. Int. J. Reconfigurable Comput. 2011: 219497:1-219497:12 (2011) - [c5]Abel G. Silva-Filho, Filipe R. Cordeiro
DoE applied to two-level memory hierarchies for energy consumption reduction. SMC 2011: 3084-3089 - 2010
- [c4]Filipe R. Cordeiro
MOPSO Applied to Architecture Tuning with Unified Second-Level Cache for Energy and Performance Optimization. SBAC-PAD 2010: 103-110
2000 – 2009
- 2008
- [c3]Abel G. Silva-Filho, Carmelo J. A. Bastos Filho
An Optimization Mechanism Intended for Two-Level Cache Hierarchy to Improve Energy and Performance Using the NSGAII Algorithm. SBAC-PAD 2008: 19-26 - 2007
- [c2]Abel G. Silva-Filho, Carmelo J. A. Bastos Filho
An Intelligent Mechanism to Explore a Two-Level Cache Hierarchy Considering Energy Consumption and Time Performance. SBAC-PAD 2007: 177-184 - 2006
- [c1]Abel G. Silva-Filho, Filipe R. Cordeiro
Heuristic for Two-Level Cache Hierarchy Exploration Considering Energy Consumption and Performance. PATMOS 2006: 75-83
Coauthor Index
aka: Wellington P. dos Santos
aka: Abel Guilhermino Silva-Filho
aka: Abel G. da Silva Filho
aka: Abel Guilhermino da Silva Filho
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last updated on 2024-10-24 21:29 CEST by the dblp team
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