Zobrazeno 1 - 10
of 3 257
pro vyhledávání: '"Kaźmierczak, P."'
Random forests utilize bootstrap sampling to create an individual training set for each component tree. This involves sampling with replacement, with the number of instances equal to the size of the original training set ($N$). Research literature in
Externí odkaz:
http://arxiv.org/abs/2410.04297
The tunability and spatial precision of paramagnetic molecules makes them attractive for quantum sensing. However, usual microwave-based detection methods have poor temporal and spatial resolution, and optical methods compatible with room-temperature
Externí odkaz:
http://arxiv.org/abs/2407.19032
Autor:
Poh, Yong Rui, Morozov, Dmitry, Kazmierczak, Nathanael P., Hadt, Ryan G., Groenhof, Gerrit, Yuen-Zhou, Joel
Publikováno v:
J. Am. Chem. Soc. 2024, 146, 22, 15549-15561
High-spin molecules allow for bottom-up qubit design and are promising platforms for magnetic sensing and quantum information science. Optical addressability of molecular electron spins has also been proposed in first-row transition metal complexes v
Externí odkaz:
http://arxiv.org/abs/2403.09102
Publikováno v:
Transactions on Machine Learning Research (05/2024)
In this paper, we introduce an explainable algorithm designed from a multi-modal foundation model, that performs fast and explainable image classification. Drawing inspiration from CLIP-based Concept Bottleneck Models (CBMs), our method creates a lat
Externí odkaz:
http://arxiv.org/abs/2312.00110
Autor:
Beck, André, Lebouteiller, Vianney, Madden, Suzanne C., Bryant, Aaron, Fischer, Christian, Iserlohe, Christof, Kaźmierczak-Barthel, Maja, Krabbe, Alfred, Latzko, Serina T., Pérez-Beaupuits, Juan-Pablo, Ramambason, Lise, Zinnecker, Hans
Publikováno v:
A&A 680, A55 (2023)
Context. Multi-wavelength studies of galaxies and galactic nuclei allow us to build a relatively more complete picture of the interstellar medium (ISM), especially in the dusty regions of starburst galaxies. An understanding of the physical processes
Externí odkaz:
http://arxiv.org/abs/2310.02584
Autor:
Piotr Merks, Ewelina Drelich, Urszula Religioni, Marta Jakubowska, Mariola Borowska, Justyna Kaźmierczak, Eliza Blicharska, Katarzyna Plagens-Rotman, Beata Chełstowska, Regis Vaillancourt, Zbigniew Doniec
Publikováno v:
Family Medicine & Primary Care Review, Vol 26, Iss 3, Pp 325-331 (2024)
Externí odkaz:
https://doaj.org/article/27e678fb75f847c98a2835b7615a283d
Publikováno v:
Engineering Management in Production and Services, Vol 16, Iss 3, Pp 129-142 (2024)
The benefits of sustainability reporting are indisputable. These include, first and foremost, building trust. Transparency on non-financial performance can help reduce reputational risk and open a dialogue with stakeholders. Transparent sustainabilit
Externí odkaz:
https://doaj.org/article/6561b3c9be924218b90ed8ee06e31f08
Autor:
Joanna Kaźmierczak, Rafał Maćkowiak
Publikováno v:
Acta Universitatis Lodziensis: Kształcenie Polonistyczne Cudzoziemców, Vol 31, Pp 349-365 (2024)
Artykuł jest wynikiem wieloletniej pracy z cudzoziemcami, którzy na przestrzeni lat byli uczestnikami kursu przygotowującego do podjęcia studiów medycznych w Polsce. Kursy odbywały się w Łodzi w Studium Języka Polskiego dla Cudzoziemców Uni
Externí odkaz:
https://doaj.org/article/1b43398bc5bf4e948b55d8af0eca920d
Autor:
Kaźmierczak, P., Binder, J., Boryczko, K., Ciuk, T., Strupiński, W., Stępniewski, R., Wysmołek, A.
Graphene flow sensors hold great prospects for applications, but also encounter many difficulties, such as unwanted electrochemical phenomena, low measurable signal and limited dependence on the flow direction. This study proposes a novel approach al
Externí odkaz:
http://arxiv.org/abs/2308.00965
Autor:
Hariat, Marwane, Laurent, Olivier, Kazmierczak, Rémi, Zhang, Shihao, Bursuc, Andrei, Yao, Angela, Franchi, Gianni
Publikováno v:
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. 2024. p. 3894-3905
Semantic segmentation methods have advanced significantly. Still, their robustness to real-world perturbations and object types not seen during training remains a challenge, particularly in safety-critical applications. We propose a novel approach to
Externí odkaz:
http://arxiv.org/abs/2308.02535