Zobrazeno 1 - 10
of 177
pro vyhledávání: '"Cavalcanti, George D. C."'
Publikováno v:
2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Dynamic Ensemble Selection (DES) is a Multiple Classifier Systems (MCS) approach that aims to select an ensemble for each query sample during the selection phase. Even with the proposal of several DES approaches, no particular DES technique is the be
Externí odkaz:
http://arxiv.org/abs/2309.14307
Publikováno v:
Applied Soft Computing, Volume 133, January 2023, 109924
Dataset scaling, also known as normalization, is an essential preprocessing step in a machine learning pipeline. It is aimed at adjusting attributes scales in a way that they all vary within the same range. This transformation is known to improve the
Externí odkaz:
http://arxiv.org/abs/2212.12343
Class imbalance is a characteristic known for making learning more challenging for classification models as they may end up biased towards the majority class. A promising approach among the ensemble-based methods in the context of imbalance learning
Externí odkaz:
http://arxiv.org/abs/2206.08455
Hate speech is a major issue in social networks due to the high volume of data generated daily. Recent works demonstrate the usefulness of machine learning (ML) in dealing with the nuances required to distinguish between hateful posts from just sarca
Externí odkaz:
http://arxiv.org/abs/2201.06721
Label noise detection has been widely studied in Machine Learning because of its importance in improving training data quality. Satisfactory noise detection has been achieved by adopting ensembles of classifiers. In this approach, an instance is assi
Externí odkaz:
http://arxiv.org/abs/2112.01617
Autor:
Teixeira, Lucas O., Pereira, Rodolfo M., Bertolini, Diego, Oliveira, Luiz S., Nanni, Loris, Cavalcanti, George D. C., Costa, Yandre M. G.
COVID-19 frequently provokes pneumonia, which can be diagnosed using imaging exams. Chest X-ray (CXR) is often useful because it is cheap, fast, widespread, and uses less radiation. Here, we demonstrate the impact of lung segmentation in COVID-19 ide
Externí odkaz:
http://arxiv.org/abs/2009.09780
Dynamic selection techniques aim at selecting the local experts around each test sample in particular for performing its classification. While generating the classifier on a local scope may make it easier for singling out the locally competent ones,
Externí odkaz:
http://arxiv.org/abs/2004.00558
Dynamic regressor selection (DRS) systems work by selecting the most competent regressors from an ensemble to estimate the target value of a given test pattern. This competence is usually quantified using the performance of the regressors in local re
Externí odkaz:
http://arxiv.org/abs/1904.04645
Autor:
Cavalcanti, George D. C.1 (AUTHOR) gdcc@cin.ufpe.br, Soares, Rodolfo J. O.1 (AUTHOR), Araújo, Edson L.1,2 (AUTHOR)
Publikováno v:
Neural Computing & Applications. Feb2024, Vol. 36 Issue 5, p2479-2491. 13p.
Class-imbalance refers to classification problems in which many more instances are available for certain classes than for others. Such imbalanced datasets require special attention because traditional classifiers generally favor the majority class wh
Externí odkaz:
http://arxiv.org/abs/1811.10481