APPLIED SOFT COMPUTING
Skrót:
APPL SOFT COMPUT
ISSN:
1568-4946
| Rok | Punkty ministerialne | Impact Factor | Eigenfactor | Article influence |
|---|---|---|---|---|
| 2023 | 200 | 0.04528 | 1.282 | |
| 2022 | 200 | 0.04416 | 1.266 | |
| 2021 | 200 | 0.03703 | 1.141 | |
| 2020 | 200 | 0.03644 | 1.094 | |
| 2019 | 200 | 0.03492 | 0.911 | |
| 2018 | 40 | 0.02942 | 0.814 | |
| 2017 | 40 | 0.02719 | 0.799 | |
| 2016 | 40 | 0.02766 | 0.793 | |
| 2015 | 40 | 0.0238 | 0.828 | |
| 2014 | 40 | 0.0179 | 0.725 | |
| 2013 | 35 | 0.01543 | 0.707 | |
| 2012 | 35 | 0.01165 | 0.622 | |
| 2011 | 32 | 0.00688 | 0.681 | |
| 2010 | 32 | 0.00457 | 0.511 | |
| 2009 | 24 | 0.00373 | 0.497 | |
| 2008 | 10 | 0.00204 | 0 | |
| 2007 | 0 | 0.00122 | 0 |
Publikacje:
2.
SLOVA: Uncertainty estimation using single label one-vs-all classifier, Applied Soft Computing Journal vol. 126 (2022), 109219
1.
Andrzej Bielecki, Stanisław Brodowski, Maciej Filocha