A review of spam email detection: analysis of spammer strategies and the dataset shift problem
F Jáñez-Martino, R Alaiz-Rodríguez… - Artificial Intelligence …, 2023 - Springer
Spam emails have been traditionally seen as just annoying and unsolicited emails
containing advertisements, but they increasingly include scams, malware or phishing. In …
containing advertisements, but they increasingly include scams, malware or phishing. In …
CS-ResNet: Cost-sensitive residual convolutional neural network for PCB cosmetic defect detection
In the printed circuit board (PCB) industry, cosmetic defect detection is an essential process
to ensure product quality. However, existing PCB cosmetic defect detection approaches …
to ensure product quality. However, existing PCB cosmetic defect detection approaches …
Concept drift detection via equal intensity k-means space partitioning
The data stream poses additional challenges to statistical classification tasks because
distributions of the training and target samples may differ as time passes. Such a distribution …
distributions of the training and target samples may differ as time passes. Such a distribution …
Elastic gradient boosting decision tree with adaptive iterations for concept drift adaptation
As an excellent ensemble algorithm, Gradient Boosting Decision Tree (GBDT) has been
tested extensively with static data. However, real-world applications often involve dynamic …
tested extensively with static data. However, real-world applications often involve dynamic …
Dynamic submodular-based learning strategy in imbalanced drifting streams for real-time safety assessment in nonstationary environments
The design of real-time safety assessment (RTSA) approaches in nonstationary
environments is meaningful to reduce the possibility of significant losses. However, several …
environments is meaningful to reduce the possibility of significant losses. However, several …
A survey of active and passive concept drift handling methods
M Han, Z Chen, M Li, H Wu… - Computational …, 2022 - Wiley Online Library
At present, concept drift in the nonstationary data stream is showing trends with different
speeds and different degrees of severity, which has brought great challenges to many fields …
speeds and different degrees of severity, which has brought great challenges to many fields …
AI/ML Service Enablers and Model Maintenance for Beyond 5G Networks
Artificial Intelligence and Machine Learning (AI/ML) can transform mobile communications,
enable new applications and services, and pave the way beyond 5G. The adoption of AI/ML …
enable new applications and services, and pave the way beyond 5G. The adoption of AI/ML …
Real-time prediction system of train carriage load based on multi-stream fuzzy learning
When a train leaves a platform, knowing the carriage load (the number of passengers in
each carriage) of this train will support train managers to guide passengers at the next …
each carriage) of this train will support train managers to guide passengers at the next …
Concept drift detection delay index
Data streams may encounter data distribution changes, which can significantly impair the
accuracy of models. Concept drift detection tracks data distribution changes and signals …
accuracy of models. Concept drift detection tracks data distribution changes and signals …
Addressing concept drifts using deep learning for heart disease prediction: a review
Heart disease is definitely among the many most significant triggers of morbidity and fatality
amid the populace among the globe. Prediction of cardiac disease can be considered as …
amid the populace among the globe. Prediction of cardiac disease can be considered as …