Learning good-performing classifiers from data with easily separable classes is not usually a
difficult task for most of the algorithms. However, problems affecting classifier performance …

Classification has become an important task for automatically categorizing documents
based on their respective group. The purpose of classification is to assign the pre-specified …

Dengue infection is a dangerous infectious disease that threatens human health at every
age and can be deadly. The imbalance of the dengue infection disease dataset will interfere …

Multi-class pattern classification has many applications including speech recognition, and it
is not easy to extend from two-class neural networks (NNs). This paper presents a study …

Class binarization techniques are used to decompose multi-class problems into several
easier-to-solve binary sub-problems. One of the most popular binarization techniques is One …

Real-world datasets frequently compromise considerably on noise, resulting in the
emergence of outlier data. Detecting and removing outliers in large and imbalanced …

Energy is a vital resource in wireless computing systems. Despite the increasing popularity
of Wireless Local Area Networks (WLANs), one of the most important outstanding issues …

Nowadays, the problem of class imbalance is relatively prevalent. This problem is
associated with the skewness in the data underlying distribution, which, in turn, presents …

Δύο πολύ σημαντικά επιστημονικά πεδία, αυτά της Υπολογιστικής Νοημοσύνης και των
Υπολογιστικών Μαθηματικών, ενδείκνυνται για την αποτελεσματική και αποδοτική …