Filipe Rolim Cordeiro

Employment

• Universidade Federal Rural de Pernambuco Professor
  2013 - Present

Education

• University of Adelaide Pós Doutorado
  2019 - 2020
• Federal University of Pernambuco Ph.D
  2011 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (35)

• ANNE: Adaptive Nearest Neighbours and Eigenvector-based sample selection for robust learning with noisy labels
  Pattern Recognition 2025 DOI: 10.1016/j.patcog.2024.111132
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• PSSCL: A progressive sample selection framework with contrastive loss designed for noisy labels
  Pattern Recognition 2025 DOI: 10.1016/j.patcog.2024.111284
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• CCT: A Cyclic Co-Teaching Approach to Train Deep Neural Networks With Noisy Labels
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3548510
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• A New Way to Identify Mastitis in Cows Using Artificial Intelligence
  AgriEngineering 2024 DOI: 10.3390/agriengineering6040237
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• An Optimization Approach for Elementary School Handwritten Mathematical Expression Recognition
  2024 DOI: 10.1007/978-3-031-64312-5_28
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• Handwritten Equation Detection in Disconnected, Low-Cost Mobile Devices
  2024 DOI: 10.1007/978-3-031-64312-5_16
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• ImageDataset2Vec: An image dataset embedding for algorithm selection
  Expert Systems with Applications 2021 DOI: 10.1016/j.eswa.2021.115053
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• A study of deep learning approaches for classification and detection chromosomes in metaphase images
  Machine Vision and Applications 2020 DOI: 10.1007/s00138-020-01115-z
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• A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations?
  Proceedings - 2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2020 2020 DOI: 10.1109/SIBGRAPI51738.2020.00010
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• Layers Sequence Optimizing for Deep Neural Networks using Multiples Objectives
  2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings 2020 DOI: 10.1109/CEC48606.2020.9185576
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