NEUROCOMPUTING
Skrót:
NEUROCOMPUTING
ISSN:
0925-2312
| Rok | Punkty ministerialne | Impact Factor | Eigenfactor | Article influence |
|---|---|---|---|---|
| 2025 | 140 | |||
| 2024 | 140 | 0.07155 | 1.318 | |
| 2023 | 140 | 0.0752 | 1.25 | |
| 2022 | 140 | 0.06949 | 1.153 | |
| 2021 | 140 | 0.0657 | 1.009 | |
| 2020 | 140 | 0.06669 | 0.981 | |
| 2019 | 140 | 0.06591 | 0.821 | |
| 2018 | 30 | 0.05847 | 0.773 | |
| 2017 | 30 | 0.04892 | 0.703 | |
| 2016 | 30 | 0.03211 | 0.619 | |
| 2015 | 30 | 0.02453 | 0.607 | |
| 2014 | 30 | 0.01796 | 0.514 | |
| 2013 | 30 | 0.01565 | 0.495 | |
| 2012 | 25 | 0.01691 | 0.536 | |
| 2011 | 20 | 0.01588 | 0.488 | |
| 2010 | 20 | 0.01304 | 0.398 | |
| 2009 | 15 | 0.01156 | 0.351 | |
| 2008 | 15 | 0.01043 | 0.33 | |
| 2007 | 0 | 0.01022 | 0.316 |
Publikacje:
3.
Marcin Przewięźlikowski, Przemysław Przybysz, Zięba Maciej , Jacek Tabor, Przemysław Spurek
HyperMAML: Few-shot adaptation of deep models with hypernetworks, Neurocomputing vol. 598 (2024), 128-179
2.
Generative models with kernel distance in data space, Neurocomputing vol. 487 (2022), 119-129
1.
R Package CEC , Neurocomputing vol. 237 (2017), 410–413