A systematic study of the class imbalance problem in convolutional neural networks
In this study, we systematically investigate the impact of class imbalance on classification
performance of convolutional neural networks (CNNs) and compare frequently used …
performance of convolutional neural networks (CNNs) and compare frequently used …
One class random forests
One class classification is a binary classification task for which only one class of samples is
available for learning. In some preliminary works, we have proposed One Class Random …
available for learning. In some preliminary works, we have proposed One Class Random …
Genome-wide discovery of pre-miRNAs: comparison of recent approaches based on machine learning
Motivation The genome-wide discovery of microRNAs (miRNAs) involves identifying
sequences having the highest chance of being a novel miRNA precursor (pre-miRNA) …
sequences having the highest chance of being a novel miRNA precursor (pre-miRNA) …
svclassify: a method to establish benchmark structural variant calls
Background The human genome contains variants ranging in size from small single
nucleotide polymorphisms (SNPs) to large structural variants (SVs). High-quality benchmark …
nucleotide polymorphisms (SNPs) to large structural variants (SVs). High-quality benchmark …
Towards gas discrimination and mapping in emergency response scenarios using a mobile robot with an electronic nose
Emergency personnel, such as firefighters, bomb technicians, and urban search and rescue
specialists, can be exposed to a variety of extreme hazards during the response to natural …
specialists, can be exposed to a variety of extreme hazards during the response to natural …
Novel SARS-CoV-2 encoded small RNAs in the passage to humans
Abstract Motivation The Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV-2)
has recently emerged as the responsible for the pandemic outbreak of the coronavirus …
has recently emerged as the responsible for the pandemic outbreak of the coronavirus …
[HTML][HTML] Deep Learning for the discovery of new pre-miRNAs: Helping the fight against COVID-19
Abstract The Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV-2) has been
recently found responsible for the pandemic outbreak of a novel coronavirus disease …
recently found responsible for the pandemic outbreak of a novel coronavirus disease …
A decision tree-based classification model for crime prediction
A Nasridinov, SY Ihm, YH Park - Information Technology Convergence …, 2013 - Springer
The growing availability of information technologies has enabled law enforcement agencies
to collect detailed data about various crimes. Classification techniques can be applied to …
to collect detailed data about various crimes. Classification techniques can be applied to …
High class-imbalance in pre-miRNA prediction: a novel approach based on deepSOM
G Stegmayer, C Yones, L Kamenetzky… - … /ACM transactions on …, 2016 - ieeexplore.ieee.org
The computational prediction of novel microRNA within a full genome involves identifying
sequences having the highest chance of being a miRNA precursor (pre-miRNA). These …
sequences having the highest chance of being a miRNA precursor (pre-miRNA). These …
Machine learning for plant microRNA prediction: A systematic review
MicroRNAs (miRNAs) are endogenous small non-coding RNAs that play an important role in
post-transcriptional gene regulation. However, the experimental determination of miRNA …
post-transcriptional gene regulation. However, the experimental determination of miRNA …