Most credit scoring algorithms are designed with the assumption to be executed in an
environment characterized by an automatic processing of credit applications, without …

Memetic Algorithms (MAs) are computational intelligence structures combining multiple and
various operators in order to address optimization problems. The combination and …

Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms
and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical …

This paper investigates feature subset selection for dimensionality reduction in machine
learning. We provide a brief overview of the feature subset selection techniques that are …

Background Alzheimer's disease (AD) is characterized by a neurodegenerative progression
that alters cognition. On a phenotypical level, cognition is evaluated by means of the …

Background Alzheimer's disease (AD) is the most common form of dementia in older adults
that damages the brain and results in impaired memory, thinking and behaviour. The …

Classification of datasets with imbalanced sample distributions has always been a
challenge. In general, a popular approach for enhancing classification performance is the …

Background Alzheimer's disease (AD) is a progressive brain disease with a huge cost to
human lives. The impact of the disease is also a growing concern for the governments of …

In sentiment analysis, the high dimensionality of the feature vector is a key problem because
it can decrease the accuracy of sentiment classification and make it difficult to obtain the …

Background The analysis of biological networks has become a major challenge due to the
recent development of high-throughput techniques that are rapidly producing very large data …