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2. Process Mining with Programmable Logic Controller Memory States

4. MAAD-GAN: Memory-Augmented Attention-Based Discriminator GAN for Video Anomaly Detection

6. SADIS: Real-Time Sound-Based Anomaly Detection for Industrial Systems

9. Network Intrusion Detection by Variational Component-Based Feature Saliency Gaussian Mixture Clustering

10. IM-DISCO: Invariant Mining for Detecting IntrusionS in Critical Operations

12. Visitors Vis: Interactive Mining of Suspected Medical Insurance Fraud Groups

15. Process Mining Algorithm for Online Intrusion Detection System

17. Empowering Medical Image Analysis: Unveiling Anomalies Through GANs and BiGAN’s Models

19. On the Use of Autoencoders in Unsupervised Learning for Intrusion Detection Systems

20. A Deep Learning Based Automatic Outdoor Home Video Surveillance Approach

21. Protocol Anomaly Detection in IIoT

24. Impact of Machine Learning in Cybersecurity: A Critical Review with Insights on the Internet of Things

25. Quantum Machine Learning in Intrusion Detection Systems: A Systematic Mapping Study

27. SQL Injection Attack Detection and Prevention Based on Manipulating the SQL Query Input Attributes

28. Anomaly Detection for Predictive Maintenance on the Example of an Induced Draft of a Waste Power Plant

29. Autoencoder-Based Botnet Detection for Enhanced IoT Security

30. On Challenging Aspects of Reproducibility in Deep Anomaly Detection

31. Anomaly Detection in ATM Vestibules Using Three-Stream Deep Learning Approach

33. ODIN AD: A Framework Supporting the Life-Cycle of Time Series Anomaly Detection Applications

34. A Benchmark for Real-Time Anomaly Detection Algorithms Applied in Industry 4.0

35. Multivariate Time Series Anomaly Detection Based on Reconstructed Differences Using Graph Attention Networks

38. Anomaly Classification to Enable Self-healing in Cyber Physical Systems Using Process Mining

39. Traceable Transformer-Based Anomaly Detection for a Water Treatment System

40. Randomized Low-Rank Nonlinear RX Detector

41. Anomaly Detection Using Machine Learning Techniques: A Systematic Review

42. Unsupervised Anomaly Localization with Structural Feature-Autoencoders

43. A Survey of Statistical, Machine Learning, and Deep Learning-Based Anomaly Detection Techniques for Time Series

44. On Kernel Search Based Gaussian Process Anomaly Detection

45. Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection

46. Proposal for Turning Point Detection Method Using Financial Text and Transformer

47. Decentralized Vision-Based Byzantine Agent Detection in Multi-robot Systems with IOTA Smart Contracts

48. Window Size Selection in Unsupervised Time Series Analytics: A Review and Benchmark

49. Robust PCA for Anomaly Detection and Data Imputation in Seasonal Time Series

50. Feature Transfer Based Network Anomaly Detection