NEURAL NETWORKS
Skrót:
NEURAL NETWORKS
ISSN:
0893-6080
Rok | Punkty ministerialne | Impact Factor | Eigenfactor | Article influence |
---|---|---|---|---|
2024 | 200 | |||
2023 | 200 | 0.0281 | 2.09 | |
2022 | 200 | 0.02383 | 1.984 | |
2021 | 200 | 0.02 | 1.955 | |
2020 | 200 | 0.01942 | 2.206 | |
2019 | 200 | 0.01891 | 1.899 | |
2018 | 30 | 0.01606 | 1.665 | |
2017 | 30 | 0.01529 | 1.501 | |
2016 | 30 | 0.01023 | 0.986 | |
2015 | 30 | 0.00958 | 0.913 | |
2014 | 30 | 0.00935 | 0.834 | |
2013 | 30 | 0.00901 | 0.783 | |
2012 | 30 | 0.00925 | 0.856 | |
2011 | 32 | 0.01073 | 0.918 | |
2010 | 32 | 0.01061 | 0.868 | |
2009 | 24 | 0.01187 | 0.968 | |
2008 | 20 | 0.01182 | 0.93 | |
2007 | 0 | 0.01394 | 1.061 |
Publikacje:
3.
HyperMask: Adaptive hypernetwork-based masks for continual learning, Neural Networks vol. 191 (2025), 107736
2.
Bartosz Wójcik, Marcin Przewięźlikowski, Filip Szatkowski, Maciej Wołczyk, Klaudia Bałazy, Bartłomiej Krzepkowski, Igor Podolak, Jacek Tabor, Marek Śmieja, Tomasz Trzciński
Zero time waste in pre-trained early exit neural networks, Neural Networks vol. 168 (2023), 580-601
1.
Marek Śmieja, Łukasz Struski, Mario A.T. Figueiredo
A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints, Neural Networks vol. 127 (2020), 193-203