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