Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Kursa, Miron"'
Autor:
Kursa, Miron Bartosz
Publikováno v:
Sci Rep 12, 8341 (2022)
Kendall transformation is a conversion of an ordered feature into a vector of pairwise order relations between individual values. This way, it preserves ranking of observations and represents it in a categorical form. Such transformation allows for g
Externí odkaz:
http://arxiv.org/abs/2006.15991
Akademický článek
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Autor:
Sawicka, Marta, BerdejSzczot, Elżbieta, Brzuszkiewicz, Sebastian, Buda, Piotr, Czajka, Alicja, Czech, Agnieszka, Czerwińska, Ewa, Figlerowicz, Magdalena, FirekPędras, Małgorzata, Gawlik, Aneta, Gowin, Ewelina, Izdebska, Olga, JanuszkiewiczLewandowska, Danuta, Kiepuszka, Justyna, Koczwara, Agnieszka, Koszałko, Danuta, KośmiderŻurawska, Magdalena, Książyk, Janusz, Kucińska, Beata, Kukawska, Martyna, Lackowska, Anita, Łapacz, Katarzyna, Maliszak, Agnieszka, Mania, Anna, Mańdziuk, Joanna, Mazur, Artur, Niszczota, Cezary, OpalińskaZielonka, Paulina, Rojewska, Katarzyna, RożnowskaWójtowicz, Anna, Siewert, Bartosz, Sobiczewska, Paulina, Stopyra, Lidia, StrobaŻelek, Agnieszka, StryczyńskaKazubska, Joanna, Sulik, Artur, Szatkowski, Tomasz, Szczepańska, Barbara, Szczukocki, Maciej, Szylo, Robert, Tyc, Filip, Wielgos, Katarzyna, Wołowska, Ewa, Wysocki, Jacek, Zacharzewska, Anna, Zaniew, Marcin, Zielińska, Marzena, ZiębaGlonek, Katarzyna, Toczyłowski, Kacper, Łasecka-Zadrożna, Joanna, Pałyga-Bysiecka, Ilona, Ludwikowska, Kamila Maria, Okarska-Napierała, Magdalena, Dudek, Natalia, Afelt, Aneta, Suski, Catherine, Kursa, Miron Bartosz, Jackowska, Teresa, Kuchar, Ernest, Szenborn, Leszek, Mazur-Melewska, Katarzyna
Publikováno v:
In International Journal of Infectious Diseases September 2022 122:703-709
Autor:
Kursa, Miron Bartosz
Many machine learning methods can produce variable importance scores expressing the usability of each feature in context of the produced model; those scores on their own are yet not sufficient to generate feature selection, especially when an all rel
Externí odkaz:
http://arxiv.org/abs/1604.06133
Autor:
Andraka, Karolina, Kondrakiewicz, Kacper, Rojek-Sito, Karolina, Ziegart-Sadowska, Karolina, Meyza, Ksenia, Nikolaev, Tomasz, Hamed, Adam, Kursa, Miron, Wójcik, Maja, Danielewski, Konrad, Wiatrowska, Marta, Kublik, Ewa, Bekisz, Marek, Lebitko, Tomasz, Duque, Daniel, Jaworski, Tomasz, Madej, Hubert, Konopka, Witold, Boguszewski, Pawel M., Knapska, Ewelina
Publikováno v:
In Current Biology 7 June 2021 31(11):2347-2358
Autor:
Kursa, Miron B.
Assuming a view of the Random Forest as a special case of a nested ensemble of interchangeable modules, we construct a generalisation space allowing one to easily develop novel methods based on this algorithm. We discuss the role and required propert
Externí odkaz:
http://arxiv.org/abs/1501.04244
Autor:
Hamed, Adam, Kursa, Miron Bartosz
Publikováno v:
In European Neuropsychopharmacology August 2020 37:82-99
In this paper we introduce multi-label ferns, and apply this technique for automatic classification of musical instruments in audio recordings. We compare the performance of our proposed method to a set of binary random ferns, using jazz recordings a
Externí odkaz:
http://arxiv.org/abs/1403.7746
Publikováno v:
Foundations of Intelligent Systems, Lecture Notes in Computer Science Volume 7661, 2012, pp 208-217
In this paper, we first apply random ferns for classification of real music recordings of a jazz band. No initial segmentation of audio data is assumed, i.e., no onset, offset, nor pitch data are needed. The notion of random ferns is described in the
Externí odkaz:
http://arxiv.org/abs/1305.5078
Autor:
Kursa, Miron B.
Gene selection is an important part of microarray data analysis because it provides information that can lead to a better mechanistic understanding of an investigated phenomenon. At the same time, gene selection is very difficult because of the noisy
Externí odkaz:
http://arxiv.org/abs/1305.4525