Zobrazeno 1 - 10
of 515
pro vyhledávání: '"Kozak, Anna"'
Autor:
Ruczyński, Hubert, Kozak, Anna
The majority of automated machine learning (AutoML) solutions are developed in Python, however a large percentage of data scientists are associated with the R language. Unfortunately, there are limited R solutions available. Moreover high entry level
Externí odkaz:
http://arxiv.org/abs/2409.04789
In many applications, model ensembling proves to be better than a single predictive model. Hence, it is the most common post-processing technique in Automated Machine Learning (AutoML). The most popular frameworks use ensembles at the expense of redu
Externí odkaz:
http://arxiv.org/abs/2403.12664
Effectively representing heterogeneous tabular datasets for meta-learning purposes remains an open problem. Previous approaches rely on predefined meta-features, for example, statistical measures or landmarkers. The emergence of dataset encoders open
Externí odkaz:
http://arxiv.org/abs/2403.04720
Autor:
FRĄCZKIEWICZ-WRONKA, Aldona1 afw@ue.katowice.pl, KOZAK, Anna1 anna.kozak@edu.uekat.pl
Publikováno v:
Scientific Papers of Silesian University of Technology. Organization & Management / Zeszyty Naukowe Politechniki Slaskiej. Seria Organizacji i Zarzadzanie. 2024, Issue 202, p75-93. 19p.
Publikováno v:
In Science of the Total Environment 1 November 2024 949
Autor:
Kowalczewska-Madura, Katarzyna, Kozak, Anna, Budzyńska, Agnieszka, Dondajewska-Pielka, Renata, Osuch, Ewa, Podsiadłowski, Stanisław, Gołdyn, Ryszard
Publikováno v:
In Chemosphere September 2024 363
Autor:
Wilk-Woźniak, Elżbieta, Krztoń, Wojciech, Budziak, Martyna, Walusiak, Edward, Žutinič, Petar, Udovič, Marija Gligora, Koreivienė, Judita, Karosienė, Jūratė, Kasperovičienė, Jūratė, Kobos, Justyna, Toporowska, Magdalena, Bańkowska-Sobczak, Agnieszka, Budzyńska, Agnieszka, Domek, Piotr, Dunalska, Julita, Frąk, Magdalena, Gołdyn, Ryszard, Grabowska, Magdalena, Jakubowska-Krepska, Natalia, Jasser, Iwona, Karpowicz, Maciej, Kokociński, Mikołaj, Kozak, Anna, Mazur-Marzec, Hanna, Mądrecka-Witkowska, Beata, Messyasz, Beata, Napiórkowska-Krzebietke, Agnieszka, Niedźwiecki, Michał, Pawlik-Skowrońska, Barbara, Pasztaleniec, Agnieszka, Pełechata, Aleksandra, Pełechaty, Mariusz, Pęczuła, Wojciech, Rosińska, Joanna, Szeląg-Wasielewska, Elżbieta, Mankiewicz-Boczek, Joanna, Wasilewicz, Michał, Stević, Filip, Maronić, Dubravka Špoljarić, Pfeiffer, Tanja Žuna
Publikováno v:
In Ecological Indicators March 2024 160
Autor:
Biecek, Przemysław, Chlebus, Marcin, Gajda, Janusz, Gosiewska, Alicja, Kozak, Anna, Ogonowski, Dominik, Sztachelski, Jakub, Wojewnik, Piotr
Rapid development of advanced modelling techniques gives an opportunity to develop tools that are more and more accurate. However as usually, everything comes with a price and in this case, the price to pay is to loose interpretability of a model whi
Externí odkaz:
http://arxiv.org/abs/2104.06735
Visual training after central retinal loss limits structural white matter degradation: an MRI study.
Autor:
Kozak, Anna1 (AUTHOR), Ninghetto, Marco1 (AUTHOR), Wieteska, Michał2,3 (AUTHOR), Fiedorowicz, Michał3 (AUTHOR), Wełniak-Kamińska, Marlena3 (AUTHOR), Kossowski, Bartosz1 (AUTHOR), Eysel, Ulf T.4 (AUTHOR), Arckens, Lutgarde5,6 (AUTHOR), Burnat, Kalina1 (AUTHOR) k.burnat@nencki.edu.pl
Publikováno v:
Behavioral & Brain Functions. 5/24/2024, Vol. 20 Issue 1, p1-17. 17p.
Autor:
Pilewska-Kozak, Anna Bogusława1 (AUTHOR), Dziurka, Magdalena2 (AUTHOR) magdalena.dziurka@umlub.pl, Bałanda –Bałdyga, Agnieszka3 (AUTHOR), Monist, Marta Joanna4 (AUTHOR), Kopiel, Ewelina5 (AUTHOR), Jurek, Krzysztof6 (AUTHOR), Łęcka, Anna Francesca7 (AUTHOR), Dobrowolska, Beata2 (AUTHOR)
Publikováno v:
BMC Pregnancy & Childbirth. 5/22/2024, Vol. 24 Issue 1, p1-11. 11p.