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Kamil Faber
Kamil Faber
PhD Student, AGH University of Krakow
Verified email at agh.edu.pl
Title
Cited by
Cited by
Year
Ensemble neuroevolution based approach for multivariate time series anomaly detection
K Faber, D Żurek, M Pietroń, K Piętak
Entropy, 2021, 2021
272021
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data
K Faber, R Corizzo, B Sniezynski, M Baron, N Japkowicz
2021 IEEE International Conference on Big Data (Big Data), 4450-4459, 2021
242021
VLAD: Task-agnostic VAE-based lifelong anomaly detection
K Faber, R Corizzo, B Sniezynski, N Japkowicz
Neural Networks 165 (1), 2023
202023
Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights
K Faber, R Corizzo, B Sniezynski, N Japkowicz
IEEE Access 12, 41364-41380, 2024
162024
Autoencoder-based IDS for cloud and mobile devices
K Faber, L Faber, B Sniezynski
2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet …, 2021
162021
Active Lifelong Anomaly Detection with Experience Replay
K Faber, R Corizzo, B Sniezynski, N Japkowicz
2022 IEEE 9th International Conference on Data Science and Advanced …, 2022
142022
LIFEWATCH: Lifelong Wasserstein Change Point Detection
K Faber, R Corizzo, B Sniezynski, M Baron, N Japkowicz
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
132022
From mnist to imagenet and back: Benchmarking continual curriculum learning
K Faber, D Zurek, M Pietron, N Japkowicz, A Vergari, R Corizzo
Machine Learning, 1-28, 2024
72024
Distributed Continual Intrusion Detection: A Collaborative Replay Framework
K Faber, B Sniezynski, R Corizzo
2023 IEEE International Conference on Big Data (BigData), 3255-3263, 2023
62023
Ada-QPacknet – Multi-Task Forget-Free Continual Learning with Quantization Driven Adaptive Pruning
M Pietron, D Zurek, K Faber, R Corizzo
26th European Conference on Artificial Intelligence, ECAI 2023, 1882-1889, 2023
4*2023
AD-NEv: A Scalable Multilevel Neuroevolution Framework for Multivariate Anomaly Detection
M Pietroń, D Żurek, K Faber, R Corizzo
IEEE Transactions on Neural Networks and Learning Systems, 2024
32024
System design for an integrated lifelong reinforcement learning agent for real-time strategy games
I Sur, Z Daniels, A Rahman, K Faber, G Gallardo, T Hayes, C Taylor, ...
Proceedings of the Second International Conference on AI-ML Systems, 1-9, 2022
22022
Towards efficient deep autoencoders for multivariate time series anomaly detection
M Pietroń, D Żurek, K Faber, R Corizzo
International Conference on Computational Science, 461-469, 2024
12024
pyCLAD: The universal framework for continual lifelong anomaly detection
K Faber, B Sniezynski, N Japkowicz, R Corizzo
SoftwareX 29, 101994, 2025
2025
RLEM: Deep Reinforcement Learning Ensemble Method for Aircraft Recovery Problem
D Żurek, M Pietroń, S Piórkowski, M Karwatowski, K Faber
2024 IEEE International Conference on Big Data (BigData), 2932-2938, 2024
2024
AD-NEv++-The multi-architecture neuroevolution-based multivariate anomaly detection framework
M Pietroń, D Żurek, K Faber, A Wójcik, R Corizzo
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2024
2024
Transformed-*: A domain-incremental lifelong learning scenario generation framework
D Zurek, R Corizzo, M Karwatowski, M Pietron, K Faber
2023 International Joint Conference on Neural Networks (IJCNN), 1-10, 2023
2023
A Deep Double Q-Learning as a SDLS support in solving LABS problem
D Żurek, M Pietroń, K Pietak, K Faber
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