Exploring Innovative Approaches to Synthetic Tabular Data Generation
E Papadaki, AG Vrahatis, S Kotsiantis - Electronics, 2024 - mdpi.com
The rapid advancement of data generation techniques has spurred innovation across
multiple domains. This comprehensive review delves into the realm of data generation …
multiple domains. This comprehensive review delves into the realm of data generation …
Explainable machine learning approach for hepatitis C diagnosis using SFS feature selection
Hepatitis C is a significant public health concern, resulting in substantial morbidity and
mortality worldwide. Early diagnosis and effective treatment are essential to prevent the …
mortality worldwide. Early diagnosis and effective treatment are essential to prevent the …
[HTML][HTML] Reliable prediction of software defects using Shapley interpretable machine learning models
Predicting defect-prone software components can play a significant role in allocating
relevant testing resources to fault-prone modules and hence increasing the business value …
relevant testing resources to fault-prone modules and hence increasing the business value …
An interpretable framework to identify responsive subgroups from clinical trials regarding treatment effects: Application to treatment of intracerebral hemorrhage
Randomized Clinical trials (RCT) suffer from a high failure rate which could be caused by
heterogeneous responses to treatment. Despite many models being developed to estimate …
heterogeneous responses to treatment. Despite many models being developed to estimate …
The effect of Data Augmentation Using SMOTE: Diabetes Prediction by Machine Learning Techniques
Diabetes mellitus, a severe and enduring condition characterized by impaired glucose
metabolism, poses a substantial threat to public health. Its pervasive impact continues to …
metabolism, poses a substantial threat to public health. Its pervasive impact continues to …
An Interpretable Causal Clustering Framework to Identify Responsive Subgroups from Clinical Trials: Application to Treatment of Intracerebral Hemorrhage
Objective: Clinical trials suffer from a high failure rate which could be caused by
heterogeneous response to treatment. Despite many models having been developed to …
heterogeneous response to treatment. Despite many models having been developed to …
[PDF][PDF] Egyptian Informatics Journal
Predicting defect-prone software components can play a significant role in allocating
relevant testing resources to fault-prone modules and hence increasing the business value …
relevant testing resources to fault-prone modules and hence increasing the business value …