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Krzyzinski, Mateusz
20  results:
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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..
 
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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..
 
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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..
 
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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..
 
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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..
 
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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..
 
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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..
 
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