I agree that this site is using cookies. You can find further informations here.
X
Pidnebesna, Anna
16  results:
Search for persons X
?
1

Mixture Components Inference for Sparse Regression: Introdu..:

Pidnebesna, Anna ; Fajnerová, Iveta ; Horáček, Jiří.
Applied Mathematical Modelling.  116 (2023)  - p. 735-748 , 2023
Link: https://doi.org/10.1016/..
 
?
2

Toward a reliable detection of arachnophobia: subjective, b..:

Landová, Eva ; Rádlová, Silvie ; Pidnebesna, Anna...
Frontiers in Psychiatry.  14 (2023)  - p. , 2023
Link: https://doi.org/10.3389/..
 
?
3

Tackling the challenges of group network inference from int..:

Pidnebesna, Anna ; Sanda, Pavel ; Kalina, Adam...
Frontiers in Neuroscience.  16 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
?
4

Promises and pitfalls of topological data analysis for brai..:

Caputi, Luigi ; Pidnebesna, Anna ; Hlinka, Jaroslav
NeuroImage.  238 (2021)  - p. 118245 , 2021
Link: https://doi.org/10.1016/..
 
?
5

Typicality of functional connectivity robustly captures mot..:

Kopal, Jakub ; Pidnebesna, Anna ; Tomeček, David..
Human Brain Mapping.  41 (2020)  18 - p. 5325-5340 , 2020
Link: https://doi.org/10.1002/..
 
?
6

BRAD: Software for BRain Activity Detection from hemodynami..:

Pidnebesna, Anna ; Tomeček, David ; Hlinka, Jaroslav
Computer Methods and Programs in Biomedicine.  156 (2018)  - p. 113-119 , 2018
Link: https://doi.org/10.1016/..
 
?
7

Computing approximate symmetries of complex networks:

Pidnebesna, Anna ; Hartman, David ; Pokorná, Aneta..
http://arxiv.org/abs/2312.08042.  , 2023
Link: http://arxiv.org/abs/231..
 
?
8

Toward a reliable detection of arachnophobia: subjective, b..:

Landová, Eva ; Rádlová, Silvie ; Pidnebesna, Anna...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10285442/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
?
9

Mixture Components Inference for Sparse Regression: Introdu..:

Pidnebesna, Anna ; Fajnerova, Iveta ; Horacek, Jiri.
http://arxiv.org/abs/2203.07209.  , 2022
Link: http://arxiv.org/abs/220..
 
?
10

Tackling the challenges of group network inference from int..:

Pidnebesna, Anna ; Sanda, Pavel ; Kalina, Adam...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752888/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
?
11

Promises and pitfalls of topological data analysis for brai..:

Caputi, Luigi ; Pidnebesna, Anna ; Hlinka, Jaroslav
Neuroimage.  , 2021
Link: https://hdl.handle.net/2..
 
?
12

Promises and pitfalls of topological data analysis for brai..:

Caputi, Luigi ; Pidnebesna, Anna ; Hlinka, Jaroslav
info:eu-repo/semantics/altIdentifier/pmid/34111515.  , 2021
Link: https://hdl.handle.net/2..
 
?
13

Typicality of functional connectivity robustly captures mot..:

Kopal, Jakub ; Pidnebesna, Anna ; Tomeček, David..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7670643/.  , 2020
Link: http://www.ncbi.nlm.nih...
 
?
14

Toward a reliable detection of arachnophobia: subjective, b..:

Eva Landová ; Silvie Rádlová ; Anna Pidnebesna...
https://www.frontiersin.org/articles/10.3389/fpsyt.2023.1196785/full.  , 2023
Link: https://doi.org/10.3389/..
 
?
15

Tackling the challenges of group network inference from int..:

Anna Pidnebesna ; Pavel Sanda ; Adam Kalina...
https://www.frontiersin.org/articles/10.3389/fnins.2022.1061867/full.  , 2022
Link: https://doi.org/10.3389/..
 
1-15