COVID-19 detection from CBC using machine learning techniques
A Akhtar, S Akhtar, B Bakhtawar… - International Journal …, 2021 - journals.gaftim.com
Covid-19 pandemic has seriously affected the mankind with colossal loss of life around the
world. There is a critical requirement for timely and reliable detection of Corona virus …
world. There is a critical requirement for timely and reliable detection of Corona virus …
Treatment response prediction in hepatitis C patients using machine learning techniques
AA Kashif, B Bakhtawar, A Akhtar… - International Journal …, 2021 - journals.gaftim.com
The proper prognosis of treatment response is crucial in any medical therapy to reduce the
effects of the disease and of the medication as well. The mortality rate due to hepatitis c virus …
effects of the disease and of the medication as well. The mortality rate due to hepatitis c virus …
The impact of using biased performance metrics on software defect prediction research
J Yao, M Shepperd - Information and Software Technology, 2021 - Elsevier
Context: Software engineering researchers have undertaken many experiments
investigating the potential of software defect prediction algorithms. Unfortunately some …
investigating the potential of software defect prediction algorithms. Unfortunately some …
Role of Feature Selection in Cross Project Software Defect Prediction-A Review
MS Saeed - International Journal of Computations, Information …, 2023 - journals.gaftim.com
Software Defect Prediction (SDP) is crucial for enhancing software quality and minimizing
issues after release. The advent of machine learning, particularly in Cross-Project Defect …
issues after release. The advent of machine learning, particularly in Cross-Project Defect …
Software defect prediction based on nested-stacking and heterogeneous feature selection
L Chen, C Wang, S Song - Complex & Intelligent Systems, 2022 - Springer
Software testing guarantees the delivery of high-quality software products, and software
defect prediction (SDP) has become an important part of software testing. Software defect …
defect prediction (SDP) has become an important part of software testing. Software defect …
[PDF][PDF] Software defect prediction using variant based ensemble learning and feature selection techniques
Testing is considered as one of the expensive activities in software development process.
Fixing the defects during testing process can increase the cost as well as the completion …
Fixing the defects during testing process can increase the cost as well as the completion …
An optimized feature selection method using ensemble classifiers in software defect prediction for healthcare systems
The healthcare systems are extensively being used with increased focus on safety of
patients. Software engineering for healthcare applications is an emerging research area …
patients. Software engineering for healthcare applications is an emerging research area …
Search-based wrapper feature selection methods in software defect prediction: an empirical analysis
High dimensionality is a data quality problem that negatively influences the predictive
capabilities of prediction models in software defect prediction (SDP). As a viable solution …
capabilities of prediction models in software defect prediction (SDP). As a viable solution …
[PDF][PDF] Data and Ensemble Machine Learning Fusion Based Intelligent Software Defect Prediction System.
The software engineering field has long focused on creating highquality software despite
limited resources. Detecting defects before the testing stage of software development can …
limited resources. Detecting defects before the testing stage of software development can …
[PDF][PDF] Software defect prediction using supervised machine learning techniques: A systematic literature review
Software defect prediction (SDP) is the process of detecting defectprone software modules
before the testing stage. The testing stage in the software development life cycle is …
before the testing stage. The testing stage in the software development life cycle is …