E-LIB Suche - Ergebnisse für: María S. Espain - Sprache DE

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1

Progression the NN's training process, comparing results in..:

Julia S. Viglietti ; María S. Espain ; Rodrigo F. Díaz...
doi:10.1371/journal.pone.0293891.g010. , 2023

Link: https://doi.org/10.1371/..

2

Three steps of a light intensity variation:

Julia S. Viglietti ; María S. Espain ; Rodrigo F. Díaz...
doi:10.1371/journal.pone.0293891.g002. , 2023

Link: https://doi.org/10.1371/..

3

Relation between area and diameter statistical parameters:

Julia S. Viglietti ; María S. Espain ; Rodrigo F. Díaz...
doi:10.1371/journal.pone.0293891.g005. , 2023

Link: https://doi.org/10.1371/..

4

Parameter dataset:

Julia S. Viglietti ; María S. Espain ; Rodrigo F. Díaz...
doi:10.1371/journal.pone.0293891.s001. , 2023

Link: https://doi.org/10.1371/..

5

Precision-recall curves:

Julia S. Viglietti ; María S. Espain ; Rodrigo F. Díaz...
doi:10.1371/journal.pone.0293891.g013. , 2023

Link: https://doi.org/10.1371/..

6

Parameter distributions of typical adequate images (14, cor..:

Julia S. Viglietti ; María S. Espain ; Rodrigo F. Díaz...
doi:10.1371/journal.pone.0293891.g007. , 2023

Link: https://doi.org/10.1371/..

7

Acceptance probability (P) for each image acquired with a d..:

Julia S. Viglietti ; María S. Espain ; Rodrigo F. Díaz...
doi:10.1371/journal.pone.0293891.g015. , 2023

Link: https://doi.org/10.1371/..

8

Schematic representation of the selected parameters used to..:

Julia S. Viglietti ; María S. Espain ; Rodrigo F. Díaz...
doi:10.1371/journal.pone.0293891.g001. , 2023

Link: https://doi.org/10.1371/..

9

Three steps of a sample-lens distance variation:

Julia S. Viglietti ; María S. Espain ; Rodrigo F. Díaz...
doi:10.1371/journal.pone.0293891.g003. , 2023

Link: https://doi.org/10.1371/..

10

Decay channels for the 10 B(n, α ) 7 Li reaction:

Julia S. Viglietti ; María S. Espain ; Rodrigo F. Díaz...
doi:10.1371/journal.pone.0293891.t001. , 2023

Link: https://doi.org/10.1371/..

11

NN's confusion matrix:

Julia S. Viglietti ; María S. Espain ; Rodrigo F. Díaz...
doi:10.1371/journal.pone.0293891.t004. , 2023

Link: https://doi.org/10.1371/..

12

Test set's confusion matrix:

Julia S. Viglietti ; María S. Espain ; Rodrigo F. Díaz...
doi:10.1371/journal.pone.0293891.t005. , 2023

Link: https://doi.org/10.1371/..

13

ROC curves for both the SVM and NN trained models, with the..:

Julia S. Viglietti ; María S. Espain ; Rodrigo F. Díaz...
doi:10.1371/journal.pone.0293891.g011. , 2023

Link: https://doi.org/10.1371/..

14

Parameter distributions of α particle tracks (3 nominal ene..:

Julia S. Viglietti ; María S. Espain ; Rodrigo F. Díaz...
doi:10.1371/journal.pone.0293891.g008. , 2023

Link: https://doi.org/10.1371/..

15

Precision vs amount of tracks (N) in each validation set's ..:

Julia S. Viglietti ; María S. Espain ; Rodrigo F. Díaz...
doi:10.1371/journal.pone.0293891.g014. , 2023

Link: https://doi.org/10.1371/..

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