D. Zurek

Modifications of most expressive feature reordering criteria for supervised kernel Principal Component Analysis

Krzysztof Slot, Dominik Zurek, Piotr Duch, 2015, 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF).

Ensemble Neuroevolution-Based Approach for Multivariate Time Series Anomaly Detection

Dominik Zurek, Kamil Pietak, Kamil Faber, 2021, Entropy.

Transformed-*: A domain-incremental lifelong learning scenario generation framework

Roberto Corizzo, Michał Karwatowski, Kamil Faber, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning

N. Japkowicz, Antonio Vergari, Roberto Corizzo, 2023, Machine Learning.

AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection

Roberto Corizzo, Kamil Faber, D. Zurek, 2023, ArXiv.

Fast and scalable neuroevolution deep learning architecture search for multivariate anomaly detection

M.Pietro'n, D..Zurek, K.Faber, 2021, ArXiv.

Fast and scalable neuroevolution deep learning architecture search for multivariate anomaly detection pdf

Marcin Pietron, Dominik Zurek, Kamil Faber, 2021, ArXiv.