Network function virtualization (NFV) is a rapidly growing technology that enables the virtualization of traditional network hardware components, offering benefits such as cost …
In the past two decades, most research on anomaly detection has focused on improving the accuracy of the detection, while largely ignoring the explainability of the corresponding …
Artificial Intelligence (AI) has become an important component of many software applications. It has reached a point where it can provide complex and critical decisions in …
With the popularity of smart devices, application responsiveness is one of the most important indicators of user experience, and forecast the next application will be used by users is …
A Heuillet, F Couthouis… - IEEE Computational …, 2022 - ieeexplore.ieee.org
While Explainable Artificial Intelligence (XAI) is increasingly expanding more areas of application, little has been applied to make deep Reinforcement Learning (RL) more …
JH Sejr, A Schneider-Kamp - Machine Learning with Applications, 2021 - Elsevier
Outlier algorithms are becoming increasingly complex. Thereby, they become much less interpretable to the data scientists applying the algorithms in real-life settings and to end …
For better stability, safety and water resource management in a dam, it is important to evaluate the amount of seepage from the dam body. This research is focused on machine …
OneClass SVM is a popular method for unsupervised anomaly detection. As many other methods, it suffers from the black box problem: it is difficult to justify, in an intuitive and …
M Louhichi, R Nesmaoui, M Mbarek… - Procedia Computer …, 2023 - Elsevier
Abstract Machine learning (ML) models are becoming increasingly complex. In fact, a sophisticated model (XGBoost boosting or deep learning) generally leads to more accurate …