18 citations · 23 across the 4 of their papers we have counts for
4 papers
A binary PSO based ensemble under-sampling model for rebalancing imbalanced training data
Jinyan Li, Yaoyang Wu, Simon Fong +4
Ensemble technique and under-sampling technique are both effective tools used for imbalanced dataset classification problems. In this paper, a novel ensemble method combining the a…
Predicting concentration levels of air pollutants by transfer learning and recurrent neural network
Iat Hang Fong, Tengyue Li, Simon Fong +2
Air pollution (AP) poses a great threat to human health, and people are paying more attention than ever to its prediction. Accurate prediction of AP helps people to plan for their…
A two-stage algorithm in evolutionary product unit neural networks for classification
Antonio J. Tallón-Ballesteros, César Hervás-Martínez
This paper presents a procedure to add broader diversity at the beginning of the evolutionary process. It consists of creating two initial populations with different parameter sett…
Distribution of the search of evolutionary product unit neural networks for classification
A. J. Tallón-Ballesteros, P. A. Gutiérrez-Peña, C. Hervás-Martínez
This paper deals with the distributed processing in the search for an optimum classification model using evolutionary product unit neural networks. For this distributed search we u…