ML Models for Detecting QoE Degradation in Low-Latency Applications: A Cloud-Gaming Case Study

An Analysis of Cloud Gaming Platforms Behaviour Under Synthetic Network Constraints and Real Cellular Networks Conditions

(2023) Xavier Marchal et al.   Journal of Network and Systems Management

Unsupervised Deep Learning for IoT Time Series

(2023) Ya Liu et al.   IEEE Internet of Things Journal

A Multivariate KPIs Anomaly Detection Framework With Dynamic Balancing Loss Training

(2022) Na Zhao et al.   IEEE Transactions on Network and Service Management

Deep Learning for Anomaly Detection

(2021) Guansong Pang et al.   ACM COMPUTING SURVEYS

A Unifying Review of Deep and Shallow Anomaly Detection

(2021) Lukas Ruff et al.   PROCEEDINGS OF THE IEEE

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series

(2021) Astha Garg et al.   IEEE Transactions on Neural Networks and Learning Systems

The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

(2020) Davide Chicco et al.   BMC GENOMICS

Anomaly Detection for IoT Time-Series Data: A Survey

(2020) Andrew A. Cook et al.   IEEE Internet of Things Journal

Generative adversarial networks

(2020) Ian Goodfellow et al.   COMMUNICATIONS OF THE ACM

A Survey on Cloud Gaming: Future of Computer Games

(2016) Wei Cai et al.   IEEE Access

The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets

(2015) Takaya Saito et al.   PLoS One

Anomaly detection

(2009) Varun Chandola et al.   ACM COMPUTING SURVEYS