14 papers
Instance Hardness-Based Relevance for Imbalanced Regression
Vitor M. Leitao, Juscimara G. Avelino, George D. C. Cavalcanti +1
Imbalanced regression problems arise when the target variable has an asymmetric distribution, resulting in underrepresented value ranges in the dataset. Traditional approaches for…
Multi-stage Dynamic Selection for Cross-Project Defect Prediction
Juscimara G. Avelino, Juscelino S. A. Junior, George D. C. Cavalcanti +1
Cross-Project Defect Prediction (CPDP) involves building models using data from external projects, called training projects, to predict modules from the target project. However, tr…
A Prototypical Signature Approach for Writer-Independent Offline Signature Verification
Kecia G. de Moura, Robert Sabourin, Rafael M. O. Cruz
Offline handwritten signature verification aims to distinguish genuine from forged signatures using static images. Since real forgeries are rarely available, negative samples are u…
Online K-d tree for approximate neighborhood search in data streams
Eduardo V. L. Barboza, Robert Sabourin, Rafael M. O. Cruz
The k-Nearest Neighbors (kNN) algorithm has long been widely used in Machine Learning (ML) applications. However, the main concern when using it is the computational cost required…
CaDrift: A Time-dependent Causal Generator of Drifting Data Streams
Eduardo V. L. Barboza, Jean Paul Barddal, Robert Sabourin +1
This work presents Causal Drift Generator (CaDrift), a time-dependent synthetic data generator framework based on Structural Causal Models (SCMs). The framework produces a virtuall…
DRES: Fake news detection by dynamic representation and ensemble selection
Faramarz Farhangian, Leandro A. Ensina, George D. C. Cavalcanti +1
The rapid spread of information via social media has made text-based fake news detection critically important due to its societal impact. This paper presents a novel detection meth…