Looking Through the Past: Better Knowledge Retention for Generative Replay in Continual Learning

Autor: Valeriya Khan, Sebastian Cygert, Kamil Deja, Tomasz Trzcinski, Bartlomiej Twardowski

Publikováno v: IEEE Access, Vol 12, Pp 45309-45317 (2024)

In this work, we improve the generative replay in a continual learning setting to perform well on challenging scenarios. Because of the growing complexity of continual learning tasks, it is becoming more popular, to apply the generative replay techni

Externí odkaz: https://doaj.org/article/61daa4fe4f7e4d849ef9c7961da36e3d

Toward Robust Pedestrian Detection With Data Augmentation

Autor: Sebastian Cygert, Andrzej Czyzewski

Publikováno v: IEEE Access, Vol 8, Pp 136674-136683 (2020)

In this article, the problem of creating a safe pedestrian detection model that can operate in the real world is tackled. While recent advances have led to significantly improved detection accuracy on various benchmarks, existing deep learning models

Externí odkaz: https://doaj.org/article/4d6d7cf28dbd46ba9efd46c1eb664846

Platelet-Based Liquid Biopsies through the Lens of Machine Learning

Autor: Sebastian Cygert, Krzysztof Pastuszak, Franciszek Górski, Michał Sieczczyński, Piotr Juszczyk, Antoni Rutkowski, Sebastian Lewalski, Robert Różański, Maksym Albin Jopek, Jacek Jassem, Andrzej Czyżewski, Thomas Wurdinger, Myron G. Best, Anna J. Żaczek, Anna Supernat

Publikováno v: Cygert, S, Pastuszak, K, Górski, F, Sieczczyński, M, Juszczyk, P, Rutkowski, A, Lewalski, S, Różański, R, Jopek, M A, Jassem, J, Czyżewski, A, Wurdinger, T, Best, M G, Żaczek, A J & Supernat, A 2023, ' Platelet-Based Liquid Biopsies through the Lens of Machine Learning ', Cancers, vol. 15, no. 8, 2336 . https://doi.org/10.3390/cancers15082336
Cancers; Volume 15; Issue 8; Pages: 2336
Cancers, 15(8):2336. Multidisciplinary Digital Publishing Institute (MDPI)

Liquid biopsies offer minimally invasive diagnosis and monitoring of cancer disease. This biosource is often analyzed using sequencing, which generates highly complex data that can be used using machine learning tools. Nevertheless, validating the cl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::192c135935c0b3a4d97ce00b032c5100
https://doi.org/10.3390/cancers15082336

Toward Robust Pedestrian Detection With Data Augmentation

Autor: Andrzej Czyzewski, Sebastian Cygert

Publikováno v: IEEE Access, Vol 8, Pp 136674-136683 (2020)

In this article, the problem of creating a safe pedestrian detection model that can operate in the real world is tackled. While recent advances have led to significantly improved detection accuracy on various benchmarks, existing deep learning models

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::accfb21f63b0733672e470e71f691cc5
https://ieeexplore.ieee.org/document/9146161/

Platelet RNA Sequencing Data Through the Lens of Machine Learning

Autor: Sebastian Cygert, Krzysztof Pastuszak, Franciszek Gorski, Michal Sieczczynski, Piotr Juszczyk, Antoni Rutkowski, Sebastian Lewalski, Robert Rozanski, Maksym Jopek, Anna J. Zaczek, Jacek Jassem, Andrzej Czyzewski, Thomas Wurdinger, Myron G. Best, Anna Supernat

Publikováno v: SSRN Electronic Journal.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9613c5b422167f3a9c006477960a3f0e
https://doi.org/10.2139/ssrn.4174793