Zobrazeno 1 - 10
of 6 485
pro vyhledávání: '"A. Wnuk"'
Autor:
Kunsch, Robert J., Wnuk, Marcin
We study approximation of the embedding $\ell_p^m \hookrightarrow \ell_q^m$, $1 \leq p < q \leq \infty$, based on randomized algorithms that use up to $n$ arbitrary linear functionals as information on a problem instance where $n \ll m$. By analysing
Externí odkaz:
http://arxiv.org/abs/2410.23067
The mean squared error and regularized versions of it are standard loss functions in supervised machine learning. However, calculating these losses for large data sets can be computationally demanding. Modifying an approach of J. Dick and M. Feischl
Externí odkaz:
http://arxiv.org/abs/2409.13453
Autor:
Kunsch, Robert J., Wnuk, Marcin
We study approximation of the embedding $\ell_p^m \rightarrow \ell_{\infty}^m$, $1 \leq p \leq 2$, based on randomized adaptive algorithms that use arbitrary linear functionals as information on a problem instance. We show upper bounds for which the
Externí odkaz:
http://arxiv.org/abs/2408.01098
Autor:
Abdeen, Waleed, Unterkalmsteiner, Michael, Wnuk, Krzysztof, Chirtoglou, Alexandros, Schimanski, Christoph, Goli, Heja
Classification aids software development activities by organizing requirements in classes for easier access and retrieval. The majority of requirements classification research has, so far, focused on binary or multi-class classification. Multi-label
Externí odkaz:
http://arxiv.org/abs/2406.04797
Context: In software development organizations employing weak or collective ownership, different teams are allowed and expected to autonomously perform changes in various components. This creates diversity both in the knowledge of, and in the respons
Externí odkaz:
http://arxiv.org/abs/2405.15866
Autor:
Siminski, Krzysztof, Wnuk, Konrad
Neuro-fuzzy systems are a technique of explainable artificial intelligence (XAI). They elaborate knowledge models as a set of fuzzy rules. Fuzzy sets are crucial components of fuzzy rules. They are used to model linguistic terms. In this paper, we pr
Externí odkaz:
http://arxiv.org/abs/2404.03058
Autor:
M. Gambin, M. Woźniak-Prus, M. Sękowski, P. Holas, A. Wnuk, T. Oleksy, A. Cudo, K. Hansen, M. Huflejt-Łukasik, A. Łyś, J. Gorgol, K. Kubicka, G. Kmita, E. Łojek
Publikováno v:
European Psychiatry, Vol 64, Pp S255-S255 (2021)
Introduction During the COVID-19 pandemic people experience higher levels of negative emotions, as well as face many negative and intense emotions felt by others. Thus, it is important to look for risk and protective factors that allow and help indiv
Externí odkaz:
https://doaj.org/article/66f9598cb80744a4ab1cc7953d40bc6e
Software documentation often struggles to catch up with the pace of software evolution. The lack of correct, complete, and up-to-date documentation results in an increasing number of documentation defects which could introduce delays in integrating s
Externí odkaz:
http://arxiv.org/abs/2402.11048
Background: Bugs and bug management consumes a significant amount of time and effort from software development organizations. A reduction in bugs can significantly improve the capacity for new feature development. Aims: We categorize and visualize di
Externí odkaz:
http://arxiv.org/abs/2402.10777
Autor:
Wątorek, Marcin, Tomczyk, Wojciech, Gawłowska, Magda, Golonka-Afek, Natalia, Żyrkowska, Aleksandra, Marona, Monika, Wnuk, Marcin, Słowik, Agnieszka, Ochab, Jeremi K., Fafrowicz, Magdalena, Marek, Tadeusz, Oświęcimka, Paweł
Publikováno v:
Biomedical Signal Processing and Control 91, 105916 (2024)
Quantifying the complex/multifractal organization of the brain signals is crucial to fully understanding the brain processes and structure. In this contribution, we performed the multifractal analysis of the electroencephalographic (EEG) data obtaine
Externí odkaz:
http://arxiv.org/abs/2401.08321