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Autoencoder-based IDS for cloud and mobile devices., , and . CCGRID, page 728-736. IEEE, (2021)System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games., , , , , , , , , and 9 other author(s). AIMLSystems, page 12:1-12:9. ACM, (2022)Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2., , , , , , , , , and 10 other author(s). CoLLAs, volume 199 of Proceedings of Machine Learning Research, page 1120-1145. PMLR, (2022)Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights., , , and . IEEE Access, (2024)Active Lifelong Anomaly Detection with Experience Replay., , , and . DSAA, page 1-10. IEEE, (2022)Ada-QPacknet - Multi-Task Forget-Free Continual Learning with Quantization Driven Adaptive Pruning., , , and . ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 1882-1889. IOS Press, (2023)WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data., , , , and . IEEE BigData, page 4450-4459. IEEE, (2021)Transformed-*: A domain-incremental lifelong learning scenario generation framework., , , , and . IJCNN, page 1-10. IEEE, (2023)AD-NEv++ : The multi-architecture neuroevolution-based multivariate anomaly detection framework., , , and . CoRR, (2024)AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection., , , and . CoRR, (2023)