1.2k citations · 1.3k across the 4 of their papers we have counts for
4 papers
Research Trends and Applications of Data Augmentation Algorithms
Joao Fonseca, Fernando Bacao
In the Machine Learning research community, there is a consensus regarding the relationship between model complexity and the required amount of data and computation power. In real…
Characterization of the Firm-Firm Public Procurement Co-Bidding Network from the State of Ceará (Brazil) Municipalities
Marcos Lyra, António Curado, Bruno Damásio +2
Fraud in public funding can have deleterious consequences for the economic, social, and political well-being of societies. Fraudulent activity associated with public procurement co…
Oversampling for Imbalanced Learning Based on K-Means and SMOTE
Felix Last, Georgios Douzas, Fernando Bacao
Learning from class-imbalanced data continues to be a common and challenging problem in supervised learning as standard classification algorithms are designed to handle balanced cl…
Geometric SMOTE: Effective oversampling for imbalanced learning through a geometric extension of SMOTE
Georgios Douzas, Fernando Bacao
Classification of imbalanced datasets is a challenging task for standard algorithms. Although many methods exist to address this problem in different ways, generating artificial da…