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pro vyhledávání: '"Woźnica, A"'
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:
Anna Jeżewska
Publikováno v:
Podstawy i Metody Oceny Środowiska Pracy. 37:131-141
Acrylonitrile (AN) is highly flammable, colorless liquid with an unpleasant odor. Acrylonitrile is used in industry to produce polyacrylonitrile (PAN) and its copolymers. Acrylonitrile can cause cancer. The aim of this study was to develop a method f
Machine learning applications cover a wide range of predictive tasks in which tabular datasets play a significant role. However, although they often address similar problems, tabular datasets are typically treated as standalone tasks. The possibiliti
Externí odkaz:
http://arxiv.org/abs/2306.11636
Publikováno v:
In Desalination and Water Treatment January 2025 321
Autor:
Kjærstad, Hanne Lie, Jespersen, Andreas Elleby, Bech, Johanne Lilmose, Weidemann, Sofie, Bjertrup, Anne Juul, Jacobsen, Emilie Hestbæk, Simonsen, Sebastian, Glenthøj, Louise Birkedal, Nordentoft, Merete, Reveles, Kristian, Wøbbe, Tine, Lopes, Mads, Lyngholm, Daniel, Miskowiak, Kamilla Woznica
Publikováno v:
In European Neuropsychopharmacology March 2025 92:1-9
Autor:
Woźnica, Andrzej Józef1 (AUTHOR) andrzej.woznica@upwr.edu.pl
Publikováno v:
Polish Journal of Entomology. Dec2019, Vol. 88 Issue 4, p395-406. 12p.
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Mining activity leads to subsidence troughs and permanent changes in water relations, like the formation of anthropogenic reservoirs. In the Upper Silesian Coal Basin (S Poland), their number is so high that the area is called an anthropogen
Externí odkaz:
https://doaj.org/article/68ba25e571df496c93f8abbdaff1d944
For many machine learning models, a choice of hyperparameters is a crucial step towards achieving high performance. Prevalent meta-learning approaches focus on obtaining good hyperparameters configurations with a limited computational budget for a co
Externí odkaz:
http://arxiv.org/abs/2201.11815
Autor:
Macoveanu, Julian, Craciun, Sabina, Ketterer-Sykes, Eleanor B., Ysbæk-Nielsen, Alexander Tobias, Zarp, Jeff, Kessing, Lars Vedel, Jørgensen, Martin Balslev, Miskowiak, Kamilla Woznica
Publikováno v:
In Psychiatry Research: Neuroimaging September 2024 343