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Marcin Pietron
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Publications
- 2024
- [i28]Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo:
Towards efficient deep autoencoders for multivariate time series anomaly detection. CoRR abs/2403.02429 (2024) - 2023
- [c21]Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo:
Ada-QPacknet - Multi-Task Forget-Free Continual Learning with Quantization Driven Adaptive Pruning. ECAI 2023: 1882-1889 - [c19]Dominik Zurek, Roberto Corizzo, Michal Karwatowski, Marcin Pietron, Kamil Faber:
Transformed-*: A domain-incremental lifelong learning scenario generation framework. IJCNN 2023: 1-10 - [i25]Kamil Faber, Dominik Zurek, Marcin Pietron, Nathalie Japkowicz, Antonio Vergari, Roberto Corizzo:
From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning. CoRR abs/2303.11076 (2023) - [i23]Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo:
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection. CoRR abs/2305.16497 (2023) - [i18]Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo:
Ada-QPacknet - adaptive pruning with bit width reduction as an efficient continual learning method without forgetting. CoRR abs/2308.07939 (2023) - 2021
- [j13]Kamil Faber, Marcin Pietron, Dominik Zurek:
Ensemble Neuroevolution-Based Approach for Multivariate Time Series Anomaly Detection. Entropy 23(11): 1466 (2021) - [i15]Kamil Faber, Dominik Zurek, Marcin Pietron, Kamil Pietak:
Ensemble neuroevolution based approach for multivariate time series anomaly detection. CoRR abs/2108.03585 (2021) - [i14]Marcin Pietron, Dominik Zurek, Kamil Faber:
Fast and scalable neuroevolution deep learning architecture search for multivariate anomaly detection. CoRR abs/2112.05640 (2021)
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last updated on 2024-04-25 02:45 CEST by the dblp team
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