In this paper, we look at the problem of inverter minimization in multi-level logic networks. The network is specified in terms of a set of base functions and the inversion opera...
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
—In this paper, we propose a new nonlinear classier based on a generalized Choquet integral with signed fuzzy measures to enhance the classification power by capturing all possib...
The activity of babies and more specifically the posture of babies is an important aspect in their safety and development. In this paper, we studied the automatic classification o...
We propose a generalization of multilabel classification that we refer to as graded multilabel classification. The key idea is that, instead of requesting a yes-no answer to the q...