- S. Thompson, Filipe Teixeira-Dias
, Mariana Paulino, A. Hamilton:
Predictions on multi-class terminal ballistics datasets using conditional Generative Adversarial Networks. Neural Networks 154: 425-440 (2022) - Lev V. Utkin, Andrei V. Konstantinov:
Attention-based random forest and contamination model. Neural Networks 154: 346-359 (2022) - Qing Wan, Yoonsuck Choe:
AdjointBackMap: Reconstructing effective decision hypersurfaces from CNN layers using adjoint operators. Neural Networks 154: 78-98 (2022) - Yuhu Wang, Chunxia Zhang, Shiming Xiang, Chunhong Pan:
Subgraph-aware graph structure revision for spatial-temporal graph modeling. Neural Networks 154: 190-202 (2022) - Ding Wang, Huiling Zhao, Mingming Zhao, Jin Ren:
Novel optimal trajectory tracking for nonlinear affine systems with an advanced critic learning structure. Neural Networks 154: 131-140 (2022) - Yihao Wu, Masahiko Morita, Jun Izawa:
Reward prediction errors, not sensory prediction errors, play a major role in model selection in human reinforcement learning. Neural Networks 154: 109-121 (2022) - Lina Xia, Qing Li, Ruizhuo Song, Shuzhi Sam Ge:
Distributed optimized dynamic event-triggered control for unknown heterogeneous nonlinear MASs with input-constrained. Neural Networks 154: 1-12 (2022) - Jianying Xiao, Xiao Guo, Yongtao Li, Shiping Wen, Kaibo Shi, Yiqian Tang:
Extended analysis on the global Mittag-Leffler synchronization problem for fractional-order octonion-valued BAM neural networks. Neural Networks 154: 491-507 (2022) - Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu:
Latent neighborhood-based heterogeneous graph representation. Neural Networks 154: 413-424 (2022) - Huawei Xu, Ming Liu, Delong Zhang:
How does the brain represent the semantic content of an image? Neural Networks 154: 31-42 (2022) - Xiaoyu Zhang, Chuandong Li, Hongfei Li, Zhengran Cao:
Mean-square stabilization of impulsive neural networks with mixed delays by non-fragile feedback involving random uncertainties. Neural Networks 154: 469-480 (2022) - Jing Zhao, Long Lan, Da Huang, Jing Ren, Wenjing Yang:
Heterogeneous Pseudo-Supervised Learning for Few-shot Person Re-Identification. Neural Networks 154: 521-537 (2022) - Xusheng Zhao, Jia Wu, Hao Peng, Amin Beheshti, Jessica J. M. Monaghan, David McAlpine, Heivet Hernandez-Perez, Mark Dras, Qiong Dai, Yangyang Li, Philip S. Yu, Lifang He:
Deep reinforcement learning guided graph neural networks for brain network analysis. Neural Networks 154: 56-67 (2022) - Dongcheng Zhao, Yi Zeng, Yang Li:
BackEISNN: A deep spiking neural network with adaptive self-feedback and balanced excitatory-inhibitory neurons. Neural Networks 154: 68-77 (2022)
