The rising interest in pattern recognition and data analytics has spurred the development of
innovative machine learning algorithms and tools. However, as each algorithm has its …

Ensemble learning, the machine learning paradigm where multiple models are combined,
has exhibited promising perfomance in a variety of tasks. The present work focuses on …

In recent years, advances in pattern recognition and data analytics have spurred the
development of a plethora of machine learning algorithms and tools. However, as each …

The present work introduces a simple scheme for classifying sequential data using blind
ensembles of classifiers. Blind refers to the combiner who has no knowledge of ground-truth …

Cloud-radio access network (C-RAN) can enable cell-less operation by connecting
distributed remote radio heads (RRHs) via fronthaul links to a powerful central unit. In the …

The rising interest in pattern recognition and data analytics has spurred the development of
innovative machine learning algorithms and tools. However, as each algorithm has its …

The turn of the decade has trademarked society and computing research with a``data
deluge.''As the number of smart, highly accurate and Internet-capable devices increases, so …

The objective of this research is to develop the effective model for predicting the survival of
patients with breast cancer. Breast cancer is the second most common cancer in women …