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- Filipe R. Cordeiro
aka: Filipe Rolim Cordeiro
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Publication search results
found 68 matches
- 2024
- 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:
An Optimization Approach for Elementary School Handwritten Mathematical Expression Recognition. AIED Companion (2) 2024: 234-241 - 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:
Handwritten Equation Detection in Disconnected, Low-Cost Mobile Devices. AIED Companion (2) 2024: 132-139 - Ioannis P. Chochliouros, Luís Cordeiro, João Fernandes, Almudena Díaz-Zayas, David Guillen, Nicola di Pietro, Juan M. Losada, Andy Edmonds, Cristian Patachia-Sultanoiu, Ovidiu Ana, Qi Wang, Anna Brunström, Donal Morris, Nils Lahmann, Andreea Corici, Fihmi Mousa, Susana Sargento, Filipe Cabral Pinto, Tilemachos Doukoglou, Ronald Legallais, Marilena Paraskeva, Tarik Taleb, Rafael Marin-Perez, Evi Tziola, Nuno Varandas, Peter Gray, Uthayasankar Sivarajah, Pavlos I. Lazaridis, Christina Lessi, Anastasia S. Spiliopoulou:
Promoting Deployment of Innovative Use Cases in Market Verticals for the Support of 6G Evolution: The 6G-PATH Context. AIAI Workshops 2024: 154-176 - 2023
- 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, Alvaro Sobrinho, Thiago D. Cordeiro:
Siamese Convolutional Neural Network for Heartbeat Classification Using Limited 12-Lead ECG Datasets. IEEE Access 11: 5365-5376 (2023) - José Rui Figueira, Henrique M. Oliveira, Ana Paula Serro, Rogério Colaço, Filipe Froes, Carlos Robalo Cordeiro, António Diniz, Miguel Guimarães:
A multiple criteria approach for building a pandemic impact assessment composite indicator: The case of COVID-19 in Portugal. Eur. J. Oper. Res. 309(2): 795-818 (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: 118670 (2023) - 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) - Ragav Sachdeva, Filipe Rolim Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro:
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning. Pattern Recognit. 134: 109121 (2023) - Artur Cordeiro, João Pedro Carvalho de Souza, Carlos M. Costa, Vítor Filipe, Luís Freitas Rocha, Manuel F. Silva:
Bin Picking for Ship-Building Logistics Using Perception and Grasping Systems. Robotics 12(1): 15 (2023) - Samuel Santos Pereira, Luís Filipe Almeida, Rui Fiel Cordeiro, Arnaldo S. R. Oliveira, Paulo P. Monteiro, Nuno Borges Carvalho:
Scalable Resource Optimized LUT-Based All-Digital Transmitter. IEEE Trans. Circuits Syst. I Regul. Pap. 70(8): 3212-3220 (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: 73-78 - 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 - 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) - 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 abs/2308.05820 (2023) - 2022
- Maria Lua Nunes, Duarte Folgado, Carlos Fujão, Luís Silva, João Rodrigues, Pedro Matias, Marília Barandas, André V. Carreiro, Sara C. Madeira, Hugo Gamboa:
Posture Risk Assessment in an Automotive Assembly Line Using Inertial Sensors. IEEE Access 10: 83221-83235 (2022) - João Paulo Sousa, Patrícia Cordeiro, Carlos R. Cunha:
The Use of Technologies in Museums: A Bibliometric Analysis Based on the Web of Science Database. ARTIIS (2) 2022: 269-282 - 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: 25-30 - 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 abs/2208.11176 (2022) - 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: 115053 (2021) - Filipe Rolim Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro:
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels. BMVC 2021: 187 - 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: 2187-2194 - Filipe Andrade Bernardi, Vinícius Costa Lima, Danilo Maglio Sampaio, Marcelo Cordeiro dos Santos, Rui Pedro Charters Lopes Rijo, Domingos Alves:
TBI Score - use of a mobile score system to aid the diagnosis of tuberculosis in children in Brazil. CENTERIS/ProjMAN/HCist 2021: 493-500 - 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 - 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 - 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 - 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) - 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) - 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) - 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) - José Rui Figueira, Henrique M. Oliveira, Ana Paula Serro, Rogério Colaço, Filipe Froes, Carlos Robalo Cordeiro, António Diniz, Miguel Guimarães:
A multiple criteria approach for constructing a pandemic impact assessment composite indicator: The case of Covid-19 in Portugal. CoRR abs/2109.11828 (2021)
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