In this paper, we propose a complete, fully automatic and efficient clinical decision support
system for breast cancer malignancy grading. The estimation of the level of a cancer …

This paper presents a novel multi-class classifier based on weighted one-class support
vector machines (OCSVM) operating in the clustered feature space. We show that splitting …

Smart mobile device usage has expanded at a very high rate all over the world. Since the
mobile devices nowadays are used for a wide variety of application areas like personal …

In this paper we deal with the problem of addressing multi-class problems with
decomposition strategies. Based on the divide-and-conquer principle, a multi-class problem …

One of the most important challenges for machine learning community is to develop efficient
classifiers which are able to cope with data streams, especially with the presence of the so …

The standard one-class support vector machine (OC-SVM) is sensitive to noises, since every
instance is equally treated. To address this problem, the weighted one-class support vector …

The diversity and the individual accuracies in an ensemble system are usually two opposite
objects, which is ignored in most preliminary ensemble learning algorithms. To alleviate this …

This paper introduces a novel technique for forming efficient one-class classifier ensembles.
It combines an ensemble pruning algorithm with weighted classifier fusion module. The …

This paper presents a novel distributed one-class classification approach based on an
extension of the ν-SVM method, thus permitting its application to Big Data data sets. In our …

An unsolved problem in the digital mapping of categorical soil variables and soil types is the
imbalanced number of observations, which leads to reduced accuracy and the loss of the …