期刊


ISSN0941-0643
刊名Neural Computing and Applications
参考译名神经网络计算与应用
收藏年代2002～2025



全部

2002 2003 2004 2005 2006 2007
2008 2009 2010 2011 2012 2013
2014 2015 2016 2017 2018 2019
2020 2021 2022 2023 2024 2025

2024, vol.36, no.1 2024, vol.36, no.10 2024, vol.36, no.11 2024, vol.36, no.12 2024, vol.36, no.13 2024, vol.36, no.14
2024, vol.36, no.15 2024, vol.36, no.16 2024, vol.36, no.17 2024, vol.36, no.18 2024, vol.36, no.19 2024, vol.36, no.2
2024, vol.36, no.20 2024, vol.36, no.21 2024, vol.36, no.22 2024, vol.36, no.23 2024, vol.36, no.24 2024, vol.36, no.25
2024, vol.36, no.26 2024, vol.36, no.27 2024, vol.36, no.28 2024, vol.36, no.29 2024, vol.36, no.3 2024, vol.36, no.30
2024, vol.36, no.31 2024, vol.36, no.32 2024, vol.36, no.33 2024, vol.36, no.34 2024, vol.36, no.35 2024, vol.36, no.36
2024, vol.36, no.4 2024, vol.36, no.5 2024, vol.36, no.6 2024, vol.36, no.7 2024, vol.36, no.8 2024, vol.36, no.9

题名作者出版年年卷期
Software effort estimation using convolutional neural network and fuzzy clustering 20242024, vol.36, no.23
Hybrid CGAN-based plant leaf disease classification using OTSU and surf feature extraction 20242024, vol.36, no.23
Exploring adversarial examples and adversarial robustness of convolutional neural networks by mutual information 20242024, vol.36, no.23
Distributed personalized imputation based on Gaussian mixture model for missing data 20242024, vol.36, no.23
Exploiting autoencoder’s weakness to generate pseudo anomalies 20242024, vol.36, no.23
Deep learning-based automatic analysis of legal contracts: a named entity recognition benchmark 20242024, vol.36, no.23
A feature selection method based on Shapley values robust for concept shift in regression 20242024, vol.36, no.23
Few-shot classification with intra-class co-salient learning and holistic metric 20242024, vol.36, no.23
Blending Shapley values for feature ranking in machine learning: an analysis on educational data 20242024, vol.36, no.23
Dual-channel graph contrastive learning for multi-label classification with label-specific features and label correlations 20242024, vol.36, no.23
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