In recent years, there has been an exponential growth in the number of complex documents
and texts that require a deeper understanding of machine learning methods to be able to …

Increasingly large document collections require improved information processing methods
for searching, retrieving, and organizing text. Central to these information processing …

The continually increasing number of complex datasets each year necessitates ever
improving machine learning methods for robust and accurate categorization of these data …

Protein sequence classification plays a pivotal role in bioinformatics as it enables the
comprehension of protein functions and their involvement in diverse biological processes …

The exponential growth in the number of complex datasets every year requires more
enhancement in machine learning methods to provide robust and accurate data …

The massive amount of genomic data appearing for SARS-CoV-2 since the beginning of the
COVID-19 pandemic has challenged traditional methods for studying its dynamics. As a …

Understanding the structural and functional characteristics of proteins are crucial for
developing preventative and curative strategies that impact fields from drug discovery to …

Understanding the host-specificity of different families of viruses sheds light on the origin of,
eg, SARS-CoV-2, rabies, and other such zoonotic pathogens in humans. It enables …

Due to the ongoing coronavirus (COVID-19) pandemic, an unprecedented amount of SARS-
CoV-2 sequence data is available. The scale of this data has out-paced traditional methods …

Motivated by the seemingly high accuracy levels of machine learning (ML) models in
Moldavian versus Romanian dialect identification and the increasing research interest on …