Marcin Pietron

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.

Estimation of River Water Surface Elevation Using UAV Photogrammetry and Machine Learning

P. Ćwiąkała, P. Wachniew, M. Zimnoch, 2023, ArXiv.

Training with reduced precision of a support vector machine model for text classification pdf

Dominik .Zurek, Marcin Pietro'n, Marcin Pietron, 2020, ArXiv.