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ORCIDNeural Networks, Volume 129
Volume 129, September 2020
- Hadrien Montanelli
, Haizhao Yang:
Error bounds for deep ReLU networks using the Kolmogorov-Arnold superposition theorem. 1-6
- Zhengying Li, Hong Huang, Yule Duan, Guangyao Shi:
DLPNet: A deep manifold network for feature extraction of hyperspectral imagery. 7-18 - Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu:
Multi-view clustering on data with partial instances and clusters. 19-30
- Guohong Mu, Lulu Li, Xiaodi Li:
Quasi-bipartite synchronization of signed delayed neural networks under impulsive effects. 31-42
- Jinlin Wu, Yang Yang, Zhen Lei, Jinqiao Wang, Stan Z. Li, Prayag Tiwari, Hari Mohan Pandey:
An end-to-end exemplar association for unsupervised person Re-identification. 43-54 - Davide Borra, Silvia Fantozzi, Elisa Magosso:
Interpretable and lightweight convolutional neural network for EEG decoding: Application to movement execution and imagination. 55-74
- Rui Shi, Tianxing Li, Yasushi Yamaguchi:
Group visualization of class-discriminative features. 75-90 - Eyad Elyan, Laura Jamieson, Adamu Ali-Gombe:
Deep learning for symbols detection and classification in engineering drawings. 91-102 - Nikolaos Passalis, George Mourgias-Alexandris, Nikos Pleros, Anastasios Tefas:
Initializing photonic feed-forward neural networks using auxiliary tasks. 103-108
- Guilherme Maeda, Okan Koc, Jun Morimoto:
Phase portraits as movement primitives for fast humanoid robot control. 109-122 - Zhuoqi Ma, Jie Li, Nannan Wang, Xinbo Gao:
Image style transfer with collection representation space and semantic-guided reconstruction. 123-137 - Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, Wenyu Chen, Zenglin Xu:
Structure learning with similarity preserving. 138-148 - Dongqi Han, Kenji Doya, Jun Tani:
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks. 149-162 - Fangzhou Xiong, Zhiyong Liu, Kaizhu Huang, Xu Yang, Hong Qiao, Amir Hussain:
Encoding primitives generation policy learning for robotic arm to overcome catastrophic forgetting in sequential multi-tasks learning. 163-173 - João Roberto Bertini Junior:
Graph embedded rules for explainable predictions in data streams. 174-192
- Changqing Long, Guodong Zhang, Zhigang Zeng:
Novel results on finite-time stabilization of state-based switched chaotic inertial neural networks with distributed delays. 193-202 - Davide Bacciu, Federico Errica, Alessio Micheli, Marco Podda:
A gentle introduction to deep learning for graphs. 203-221
- Mateja Maric, Drazen Domijan:
A neurodynamic model of the interaction between color perception and color memory. 222-248
- Indro Spinelli, Simone Scardapane, Aurelio Uncini:
Missing data imputation with adversarially-trained graph convolutional networks. 249-260 - Alexander Kroner, Mario Senden, Kurt Driessens, Rainer Goebel:
Contextual encoder-decoder network for visual saliency prediction. 261-270
- Giacomo Capizzi, Grazia Lo Sciuto, Christian Napoli, Marcin Wozniak, Gianluca Susi:
A spiking neural network-based long-term prediction system for biogas production. 271-279
- Shuxin Liu, Haijun Jiang, Liwei Zhang, Xuehui Mei:
A neurodynamic optimization approach for complex-variables programming problem. 280-287 - Ozlem Faydasicok:
A new Lyapunov functional for stability analysis of neutral-type Hopfield neural networks with multiple delays. 288-297
- Chang Peng, Ruiwei Lu, Olivia Kang, Wang Kai:
Batch process fault detection for multi-stage broad learning system. 298-312
- Xiang Li, Wei Zhang, Hui Ma, Zhong Luo, Xu Li:
Partial transfer learning in machinery cross-domain fault diagnostics using class-weighted adversarial networks. 313-322
- Zhenshan Bing, Christian Lemke, Long Cheng, Kai Huang, Alois C. Knoll:
Energy-efficient and damage-recovery slithering gait design for a snake-like robot based on reinforcement learning and inverse reinforcement learning. 323-333
- Mohammadreza Javanmardi, Xiaojun Qi:
Appearance variation adaptation tracker using adversarial network. 334-343 - Yoshikazu Terada, Ryoma Hirose:
Fast generalization error bound of deep learning without scale invariance of activation functions. 344-358 - Bart Kosko, Kartik Audhkhasi, Osonde Osoba:
Noise can speed backpropagation learning and deep bidirectional pretraining. 359-384 - Muhammad Tahir, Maqsood Hayat, Kil To Chong:
Prediction of N6-methyladenosine sites using convolution neural network model based on distributed feature representations. 385-391
- Shanshan Chen, Haijun Jiang, Binglong Lu, Zhiyong Yu, Liang Li:
Pinning bipartite synchronization for inertial coupled delayed neural networks with signed digraph via non-reduced order method. 392-402
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