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Krzyzinski, Mateusz
20
results:
Format
Online (20)
Mediatypes
Articles (Online) (8)
OpenAccess-fulltext (12)
Sorted by: Relevance
Sorted by: Year
?
1
Performance Is Not Enough: The Story Told by a Rashomon Qua..:
Biecek, Przemysław
;
Baniecki, Hubert
;
Krzyziński, Mateusz
.
Journal of Computational and Graphical Statistics. , 2024
Link:
https://doi.org/10.1080/..
?
2
Co-Targeting of DTYMK and PARP1 as a Potential Therapeutic ..:
Oziębło, Sylwia
;
Mizera, Jakub
;
Górska, Agata
...
Cells. 13 (2024) 16 - p. 1348 , 2024
Link:
https://doi.org/10.3390/..
?
3
A novel radiomics approach for predicting TACE outcomes in ..:
Bartnik, Krzysztof
;
Krzyziński, Mateusz
;
Bartczak, Tomasz
...
Scientific Reports. 14 (2024) 1 - p. , 2024
Link:
https://doi.org/10.1038/..
?
4
SurvSHAP(t): Time-dependent explanations of machine learnin..:
Krzyziński, Mateusz
;
Spytek, Mikołaj
;
Baniecki, Hubert
.
Knowledge-Based Systems. 262 (2023) - p. 110234 , 2023
Link:
https://doi.org/10.1016/..
?
5
SATB2, CKAE1/AE3, and synaptophysin as a sensitive immunohi..:
Szumera-Cieckiewicz, Anna
;
Massi, Daniela
;
Cassisa, Angelo
...
Virchows Archiv. 484 (2023) 4 - p. 629-636 , 2023
Link:
https://doi.org/10.1007/..
?
6
survex: an R package for explaining machine learning surviv..:
Spytek, Mikołaj
;
Krzyziński, Mateusz
;
Langbein, Sophie Hanna
...
Bioinformatics. 39 (2023) 12 - p. , 2023
Link:
https://doi.org/10.1093/..
?
7
Machine learning models demonstrate that clinicopathologic ..:
Donizy, Piotr
;
Krzyzinski, Mateusz
;
Markiewicz, Anna
...
European Journal of Cancer. 174 (2022) - p. 251-260 , 2022
Link:
https://doi.org/10.1016/..
?
8
Amelanotic Uveal Melanomas Evaluated by Indirect Ophthalmos..:
Markiewicz, Anna
;
Donizy, Piotr
;
Nowak, Monika
...
Cancers. 14 (2022) 11 - p. 2753 , 2022
Link:
https://doi.org/10.3390/..
?
9
Performance is not enough: the story told by a Rashomon qua..:
Biecek, Przemyslaw
;
Baniecki, Hubert
;
Krzyzinski, Mateusz
.
http://arxiv.org/abs/2302.13356. , 2023
Link:
http://arxiv.org/abs/230..
?
10
Explaining and visualizing black-box models through counter..:
Pfeifer, Bastian
;
Krzyzinski, Mateusz
;
Baniecki, Hubert
...
http://arxiv.org/abs/2307.07764. , 2023
Link:
http://arxiv.org/abs/230..
?
11
Exploration of the Rashomon Set Assists Trustworthy Explana..:
Kobylińska, Katarzyna
;
Krzyziński, Mateusz
;
Machowicz, Rafał
..
http://arxiv.org/abs/2308.11446. , 2023
Link:
http://arxiv.org/abs/230..
?
12
survex: an R package for explaining machine learning surviv..:
Spytek, Mikołaj
;
Krzyziński, Mateusz
;
Langbein, Sophie Hanna
...
http://arxiv.org/abs/2308.16113. , 2023
Link:
http://arxiv.org/abs/230..
?
13
survex: an R package for explaining machine learning surviv..:
Spytek, Mikolaj
;
Krzyzinski, Mateusz
;
Langbein, Sophie
...
https://repository.publisso.de/resource/frl:6475511. , 2023
Link:
https://repository.publi..
?
14
HADES: Homologous Automated Document Exploration and Summar..:
Wilczyński, Piotr
;
Żółkowski, Artur
;
Krzyziński, Mateusz
...
http://arxiv.org/abs/2302.13099. , 2023
Link:
http://arxiv.org/abs/230..
?
15
SurvSHAP(t): Time-dependent explanations of machine learnin..:
Krzyziński, Mateusz
;
Spytek, Mikołaj
;
Baniecki, Hubert
.
http://arxiv.org/abs/2208.11080. , 2022
Link:
http://arxiv.org/abs/220..
1-15