NEURAL NETWORKS
Skrót:
NEURAL NETWORKS
ISSN:
0893-6080
Rok | Punkty ministerialne | Impact Factor | Eigenfactor | Article influence |
---|---|---|---|---|
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:
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