MG Carneiro, L Zhao - IEEE transactions on neural networks …, 2017 - ieeexplore.ieee.org
Data classification is a common task, which can be performed by both computers and human beings. However, a fundamental difference between them can be observed …
Graph construction from data constitutes a pre-stage in many machine learning and computer vision tasks, like semi-supervised learning, manifold learning, and spectral …
AE Coca, L Zhao - Information Sciences, 2016 - Elsevier
The rhythmic background of a musical piece is usually composed of featured elements that define the musical genre. For each song, such elements form rhythmic patterns, the most …
The problem addressed in this paper concerns mining data streams with concept drift. The goal of the paper is to propose and validate a new approach to mining data streams with …
The problem addressed in this study concerns mining data streams with concept drift. The goal of the article is to propose and validate a new approach to mining data streams with …
Graph-based algorithms have been successfully applied in machine learning and data mining tasks. A simple but, widely used, approach to build graphs from vector-based data is …
I Czarnowski - International conference on computational science, 2021 - Springer
Learning from imbalanced data streams is one of the challenges for classification algorithms and learning classifiers. The goal of the paper is to propose and validate a new approach for …
AH Cantão, AA Macedo, L Zhao… - European Conference on …, 2022 - Springer
The volume of available data in recent years has rapidly increased. In consequence, datasets commonly end up with many irrelevant features. That increase may disturb human …
AT da Silva, JR Bertini - 2022 IEEE International Conference on …, 2022 - ieeexplore.ieee.org
Only recently have data mining results been thought to aid human interpretability. Explanations are useful to understand the reasons why (or why not) the model has (or …