Feature subset selection is essential for identifying relevant and non-redundant features,
which enhances classification accuracy and simplifies machine learning models. Given the …

Interclass boundary preservation (IBP) is a data reduction technique that maintains only the
instances (referred to as “prototypes”) at the decision boundary between consecutive …

This paper describes our participation in Task 2 of the QuantumCLEF lab, where we
explored the use of quantum annealing for clustering 6486 document embeddings. We …

Quantum has always gained considerable attention in scientific studies as it defies common
perception. Quantum Computing-recently evolving-has also started to gain considerable …

In the area of consumer health search (CHS), there is an increasing concern about returning
topically relevant and understandable health information to the user. Besides being used to …

Artificial intelligence together with its applications are advancing in all fields, particularly
medical science. A considerable quantity of clinical data is available, yet the vast majority of …

Through Twitter sentiment Analysis, users can easily determine the quality of their products
and services. These tools are very useful in identifying and monitoring the various factors …

Decision trees (DTs) are a significant category of logical tools in machine learning (ML),
used to classify both text and numerical data. Over the years, two primary criteria for splitting …