[HTML][HTML] Text classification algorithms: A survey
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 …
and texts that require a deeper understanding of machine learning methods to be able to …
Hdltex: Hierarchical deep learning for text classification
Increasingly large document collections require improved information processing methods
for searching, retrieving, and organizing text. Central to these information processing …
for searching, retrieving, and organizing text. Central to these information processing …
Rmdl: Random multimodel deep learning for classification
The continually increasing number of complex datasets each year necessitates ever
improving machine learning methods for robust and accurate categorization of these data …
improving machine learning methods for robust and accurate categorization of these data …
Elliptic geometry-based kernel matrix for improved biological sequence classification
Protein sequence classification plays a pivotal role in bioinformatics as it enables the
comprehension of protein functions and their involvement in diverse biological processes …
comprehension of protein functions and their involvement in diverse biological processes …
An improvement of data classification using random multimodel deep learning (rmdl)
The exponential growth in the number of complex datasets every year requires more
enhancement in machine learning methods to provide robust and accurate data …
enhancement in machine learning methods to provide robust and accurate data …
Reads2vec: Efficient embedding of raw high-throughput sequencing reads 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 …
COVID-19 pandemic has challenged traditional methods for studying its dynamics. As a …
Position specific scoring is all you need? revisiting protein sequence classification tasks
Understanding the structural and functional characteristics of proteins are crucial for
developing preventative and curative strategies that impact fields from drug discovery to …
developing preventative and curative strategies that impact fields from drug discovery to …
Virus2vec: Viral sequence classification using machine learning
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 …
eg, SARS-CoV-2, rabies, and other such zoonotic pathogens in humans. It enables …
Hashing2vec: Fast embedding generation for sars-cov-2 spike sequence classification
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 …
CoV-2 sequence data is available. The scale of this data has out-paced traditional methods …
The unreasonable effectiveness of machine learning in Moldavian versus Romanian dialect identification
M Găman, RT Ionescu - International Journal of Intelligent …, 2022 - Wiley Online Library
Motivated by the seemingly high accuracy levels of machine learning (ML) models in
Moldavian versus Romanian dialect identification and the increasing research interest on …
Moldavian versus Romanian dialect identification and the increasing research interest on …