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Self Organizing Classifiers and Niched Fitness
Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata
Learning classifier systems are adaptive learning systems which have been widely applied in a multitude of application domains. However, there are still some generalization problem…
Self Organizing Classifiers: First Steps in Structured Evolutionary Machine Learning
Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata
Learning classifier systems (LCSs) are evolutionary machine learning algorithms, flexible enough to be applied to reinforcement, supervised and unsupervised learning problems with…
Contingency Training
Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata
When applied to high-dimensional datasets, feature selection algorithms might still leave dozens of irrelevant variables in the dataset. Therefore, even after feature selection has…
Novelty-organizing team of classifiers in noisy and dynamic environments
Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata
In the real world, the environment is constantly changing with the input variables under the effect of noise. However, few algorithms were shown to be able to work under those circ…
Attacking Convolutional Neural Network using Differential Evolution
Jiawei Su, Danilo Vasconcellos Vargas, Kouichi Sakurai
The output of Convolutional Neural Networks (CNN) has been shown to be discontinuous which can make the CNN image classifier vulnerable to small well-tuned artificial perturbations…
Lightweight Classification of IoT Malware based on Image Recognition
Jiawei Su, Danilo Vasconcellos Vargas, Sanjiva Prasad +3
The Internet of Things (IoT) is an extension of the traditional Internet, which allows a very large number of smart devices, such as home appliances, network cameras, sensors and c…