Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Igor Sieradzki"'
Autor:
Witold Oleszkiewicz, Dominika Basaj, Igor Sieradzki, Micha Gorszczak, Barbara Rychalska, Koryna Lewandowska, Tomasz Trzcinski, Bartosz Zielinski
Publikováno v:
IEEE Access, Vol 11, Pp 13028-13043 (2023)
Recently introduced self-supervised methods for image representation learning provide on par or superior results to their fully supervised competitors, yet the corresponding efforts to explain the self-supervised approaches lag behind. Motivated by t
Externí odkaz:
https://doaj.org/article/a0817038d01e400b8a77123a6289064f
Publikováno v:
Molecules, Vol 25, Iss 6, p 1452 (2020)
A great variety of computational approaches support drug design processes, helping in selection of new potentially active compounds, and optimization of their physicochemical and ADMET properties. Machine learning is a group of methods that are able
Externí odkaz:
https://doaj.org/article/207406e1a4704cfc9ccc30b977a05113
Autor:
Igor Sieradzki, Andrzej J. Bojarski, Stanisław Jastrzębski, Sabina Podlewska, Damian Leśniak, Jacek Tabor
Publikováno v:
Journal of Chemical Information and Modeling. 59:4974-4992
New computational approaches for virtual screening applications are constantly being developed. However, before a particular tool is used to search for new active compounds, its effectiveness in the type of task must be examined. In this study, we co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::461cd11a70bed086a19a252b844a6cb5
https://doi.org/10.1021/acs.jcim.9b00689
https://doi.org/10.1021/acs.jcim.9b00689
Autor:
Bartosz Zieliński, Witold Oleszkiewicz, Michal Górszczak, Igor Sieradzki, Dominika Basaj, Barbara Rychalska, Tomasz Trzcinski
Publikováno v:
IJCAI
Recently introduced self-supervised methods for image representation learning provide on par or superior results to their fully supervised competitors, yet the corresponding efforts to explain the self-supervised approaches lag behind. Motivated by t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73fb6c46a638540fd5770a3f57b8ea62
https://ruj.uj.edu.pl/xmlui/handle/item/284703
https://ruj.uj.edu.pl/xmlui/handle/item/284703
Autor:
Damian Leśniak, Andrzej J. Bojarski, Jacek Tabor, Igor Sieradzki, Sabina Podlewska, Stanisław Jastrzębski
Publikováno v:
Molecular Diversity
Three-dimensional descriptors are often used to search for new biologically active compounds, in both ligand- and structure-based approaches, capturing the spatial orientation of molecules. They frequently constitute an input for machine learning-bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7756d114ba1b30188e510c808568e973
https://doi.org/10.1007/s11030-018-9894-4
https://doi.org/10.1007/s11030-018-9894-4
Autor:
Igor Sieradzki, Stanisław Jastrzębski
Publikováno v:
Schedae Informaticae.
There is a strong research e ort towards developing models that can achieve state-of-the-art results without sacrificing interpretability and simplicity. One of such is recently proposed Recursive Random Support Vector Machine (R2SVM) model, which is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79ee2b29a63112e4cad29ad78e229ec6
https://doi.org/10.4467/20838476si.16.003.6184
https://doi.org/10.4467/20838476si.16.003.6184