The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification
Binary classification is a common task for which machine learning and computational
statistics are used, and the area under the receiver operating characteristic curve (ROC …
statistics are used, and the area under the receiver operating characteristic curve (ROC …
[PDF][PDF] Mining educational data to predict student's academic performance using ensemble methods
Educational data mining has received considerable attention in the last few years. Many
data mining techniques are proposed to extract the hidden knowledge from educational …
data mining techniques are proposed to extract the hidden knowledge from educational …
Learning a metric for code readability
In this paper, we explore the concept of code readability and investigate its relation to
software quality. With data collected from 120 human annotators, we derive associations …
software quality. With data collected from 120 human annotators, we derive associations …
Preprocessing and analyzing educational data set using X-API for improving student's performance
Educational data mining concerns of developing methods to discover hidden patterns from
educational data. The quality of data mining techniques depends on the collected data and …
educational data. The quality of data mining techniques depends on the collected data and …
A survey on adaptive random testing
Random testing (RT) is a well-studied testing method that has been widely applied to the
testing of many applications, including embedded software systems, SQL database systems …
testing of many applications, including embedded software systems, SQL database systems …
A novel method for multivariant pneumonia classification based on hybrid CNN-PCA based feature extraction using extreme learning machine with CXR images
In this era of COVID19, proper diagnosis and treatment of pneumonia are very important.
Chest X-Ray (CXR) image analysis plays a vital role in the reliable diagnosis of pneumonia …
Chest X-Ray (CXR) image analysis plays a vital role in the reliable diagnosis of pneumonia …
A metric for software readability
In this paper, we explore the concept of code readability and investigate its relation to
software quality. With data collected from human annotators, we derive associations …
software quality. With data collected from human annotators, we derive associations …
Do bugs foreshadow vulnerabilities? a study of the chromium project
F Camilo, A Meneely… - 2015 IEEE/ACM 12th …, 2015 - ieeexplore.ieee.org
As developers face ever-increasing pressure to engineer secure software, researchers are
building an understanding of security-sensitive bugs (ie Vulnerabilities). Research into …
building an understanding of security-sensitive bugs (ie Vulnerabilities). Research into …
Evaluation of an improved tool for non-invasive prediction of neonatal respiratory morbidity based on fully automated fetal lung ultrasound analysis
XP Burgos-Artizzu, Á Perez-Moreno… - Scientific reports, 2019 - nature.com
The objective of this study was to evaluate the performance of a new version of
quantusFLM®, a software tool for prediction of neonatal respiratory morbidity (NRM) by …
quantusFLM®, a software tool for prediction of neonatal respiratory morbidity (NRM) by …
Random testing of interrupt-driven software
J Regehr - Proceedings of the 5th ACM International Conference …, 2005 - dl.acm.org
Interrupt-driven embedded software is hard to thoroughly test since it usually contains a very
large number of executable paths. Developers can test more of these paths using random …
large number of executable paths. Developers can test more of these paths using random …