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    Article

    Feature construction as a bi-level optimization problem

    Feature selection and construction are important preprocessing techniques in data mining. They allow not only dimensionality reduction but also classification accuracy and efficiency improvement. While feature...

    Marwa Hammami, Slim Bechikh, Ali Louati… in Neural Computing and Applications (2020)

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    Chapter and Conference Paper

    Class-Dependent Weighted Feature Selection as a Bi-Level Optimization Problem

    Feature selection aims at selecting relevant features from the original feature set, but these features do not have the same degree of importance. This can be achieved by feature weighting, which is a method f...

    Marwa Hammami, Slim Bechikh, Chih-Cheng Hung… in Neural Information Processing (2020)

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    Article

    A Multi-objective hybrid filter-wrapper evolutionary approach for feature selection

    Feature selection is an important pre-processing data mining task, which can reduce the data dimensionality and improve not only the classification accuracy but also the classifier efficiency. Filters use stat...

    Marwa Hammami, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said in Memetic Computing (2019)