Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Syu, Zih-Sin
40  Ergebnisse:
Personensuche X
?
1

Analyzing drama metadata through machine learning to gain i..:

Lo, Chung-Ming ; Syu, Zih-Sin ; Ajagbe, Sunday Adeola
PLOS ONE.  18 (2023)  11 - p. e0288932 , 2023
Link: https://doi.org/10.1371/..
 
?
2

Distribution and definition of 17 genres:

Chung-Ming Lo ; Zih-Sin Syu
doi:10.1371/journal.pone.0288932.t001.  , 2023
Link: https://doi.org/10.1371/..
 
?
3

New TV station features after one-hot encoding:

Chung-Ming Lo ; Zih-Sin Syu
doi:10.1371/journal.pone.0288932.g003.  , 2023
Link: https://doi.org/10.1371/..
 
?
4

Highly rated screenwriters:

Chung-Ming Lo ; Zih-Sin Syu
doi:10.1371/journal.pone.0288932.g009.  , 2023
Link: https://doi.org/10.1371/..
 
?
5

Comparison of the accuracy of using facial features in diff..:

Chung-Ming Lo ; Zih-Sin Syu
doi:10.1371/journal.pone.0288932.t003.  , 2023
Link: https://doi.org/10.1371/..
 
?
6

Highly rated scheduling slots:

Chung-Ming Lo ; Zih-Sin Syu
doi:10.1371/journal.pone.0288932.g008.  , 2023
Link: https://doi.org/10.1371/..
 
?
7

Highly rated leading actors:

Chung-Ming Lo ; Zih-Sin Syu
doi:10.1371/journal.pone.0288932.g010.  , 2023
Link: https://doi.org/10.1371/..
 
?
8

Performance comparisons of different features and classifie..:

Chung-Ming Lo ; Zih-Sin Syu
doi:10.1371/journal.pone.0288932.t002.  , 2023
Link: https://doi.org/10.1371/..
 
?
9

The normalized and weighted cast features:

Chung-Ming Lo ; Zih-Sin Syu
doi:10.1371/journal.pone.0288932.g005.  , 2023
Link: https://doi.org/10.1371/..
 
?
10

The number of highly rated dramas by season:

Chung-Ming Lo ; Zih-Sin Syu
doi:10.1371/journal.pone.0288932.g007.  , 2023
Link: https://doi.org/10.1371/..
 
?
11

S1 Data -:

Chung-Ming Lo ; Zih-Sin Syu
doi:10.1371/journal.pone.0288932.s001.  , 2023
Link: https://doi.org/10.1371/..
 
?
12

Scheduled slot as an integrated feature by one-hot encoding:

Chung-Ming Lo ; Zih-Sin Syu
doi:10.1371/journal.pone.0288932.g004.  , 2023
Link: https://doi.org/10.1371/..
 
?
13

Analyzing drama metadata through machine learning to gain i..:

Chung-Ming Lo ; Zih-Sin Syu
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0288932&type=printable.  , 2023
Link: https://doi.org/10.1371/..
 
?
14

The detected faces and features:

Chung-Ming Lo ; Zih-Sin Syu
doi:10.1371/journal.pone.0288932.g002.  , 2023
Link: https://doi.org/10.1371/..
 
?
15

The number of highly rated dramas by year:

Chung-Ming Lo ; Zih-Sin Syu
doi:10.1371/journal.pone.0288932.g006.  , 2023
Link: https://doi.org/10.1371/..
 
1-15