Volgen
Kamil Faber
Kamil Faber
PhD Student, AGH University of Krakow
Geverifieerd e-mailadres voor agh.edu.pl
Titel
Geciteerd door
Geciteerd door
Jaar
Ensemble neuroevolution based approach for multivariate time series anomaly detection
K Faber, D Żurek, M Pietroń, K Piętak
Entropy, 2021, 2021
222021
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
162021
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
122021
VLAD: Task-agnostic VAE-based lifelong anomaly detection
K Faber, R Corizzo, B Sniezynski, N Japkowicz
Neural Networks 165 (1), 2023
112023
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
102022
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
92022
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
3*2024
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
22023
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
From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning
K Faber, D Zurek, M Pietron, N Japkowicz, A Vergari, R Corizzo
arXiv preprint arXiv:2303.11076, 2023
12023
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
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
2023
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–12