Connectionists: NEURAL NETWORKS, Sept. 2020

[Wang, Deliang]

Neural Networks - Volume 129, September 2020
https://www.journals.elsevier.com/neural-networks


A gentle introduction to deep learning for graphs
Davide Bacciu, Federico Errica, Alessio Micheli, Marco Podda

A neurodynamic model of the interaction between color perception and color memory
Mateja Maric, Drazen Domijan

DLPNet: A deep manifold network for feature extraction of hyperspectral imagery
Zhengying Li, Hong Huang, Yule Duan, Guangyao Shi

Multi-view clustering on data with partial instances and clusters
Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu

An end-to-end exemplar association for unsupervised person Re-identification
Jinlin Wu, Yang Yang, Zhen Lei, Jinqiao Wang, ... Hari Mohan Pandey

Interpretable and lightweight convolutional neural network for EEG decoding: Application to movement execution and imagination
Davide Borra, Silvia Fantozzi, Elisa Magosso

Phase portraits as movement primitives for fast humanoid robot control
Guilherme Maeda, Okan Koc, Jun Morimoto

Image style transfer with collection representation space and semantic-guided reconstruction
Zhuoqi Ma, Jie Li, Nannan Wang, Xinbo Gao

Structure learning with similarity preserving
Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, ... Zenglin Xu

Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks
Dongqi Han, Kenji Doya, Jun Tani

Encoding primitives generation policy learning for robotic arm to overcome catastrophic forgetting in sequential multi-tasks learning
Fangzhou Xiong, Zhiyong Liu, Kaizhu Huang, Xu Yang, ... Amir Hussain

Graph embedded rules for explainable predictions in data streams
Joao Roberto Bertini

Missing data imputation with adversarially-trained graph convolutional networks
Indro Spinelli, Simone Scardapane, Aurelio Uncini

Contextual encoder-decoder network for visual saliency prediction
Alexander Kroner, Mario Senden, Kurt Driessens, Rainer Goebel

Partial transfer learning in machinery cross-domain fault diagnostics using class-weighted adversarial networks
Xiang Li, Wei Zhang, Hui Ma, Zhong Luo, Xu Li

Appearance variation adaptation tracker using adversarial network
Mohammadreza Javanmardi, Xiaojun Qi

Fast generalization error bound of deep learning without scale invariance of activation functions
Yoshikazu Terada, Ryoma Hirose

Noise can speed backpropagation learning and deep bidirectional pretraining
Bart Kosko, Kartik Audhkhasi, Osonde Osoba

Prediction of N6-methyladenosine sites using convolution neural network model based on distributed feature representations
Muhammad Tahir, Maqsood Hayat, Kil To Chong

Error bounds for deep ReLU networks using the Kolmogorov-Arnold superposition theorem
Hadrien Montanelli, Haizhao Yang

Quasi-bipartite synchronization of signed delayed neural networks under impulsive effects
Guohong Mu, Lulu Li, Xiaodi Li

Novel results on finite-time stabilization of state-based switched chaotic inertial neural networks with distributed delays
Changqing Long, Guodong Zhang, Zhigang Zeng

A neurodynamic optimization approach for complex-variables programming problem
Shuxin Liu, Haijun Jiang, Liwei Zhang, Xuehui Mei

A new Lyapunov functional for stability analysis of neutral-type Hopfield neural networks with multiple delays
Ozlem Faydasicok

Pinning bipartite synchronization for inertial coupled delayed neural networks with signed digraph via non-reduced order method
Shanshan Chen, Haijun Jiang, Binglong Lu, Zhiyong Yu, Liang Li

Group visualization of class-discriminative features
Rui Shi, Tianxing Li, Yasushi Yamaguchi

Deep learning for symbols detection and classification in engineering drawings
Eyad Elyan, Laura Jamieson, Adamu Ali-Gombe

Initializing photonic feed-forward neural networks using auxiliary tasks
Nikolaos Passalis, George Mourgias-Alexandris, Nikos Pleros, Anastasios Tefas

A spiking neural network-based long-term prediction system for biogas production
Giacomo Capizzi, Grazia Lo Sciuto, Christian Napoli, Marcin Wozniak, Gianluca Susi

Batch process fault detection for multi-stage broad learning system
Chang Peng, RuiWei Lu, Olivia Kang, Wang Kai

Energy-efficient and damage-recovery slithering gait design for a snake-like robot based on reinforcement learning and inverse reinforcement learning
Zhenshan Bing, Christian Lemke, Long Cheng, Kai Huang, Alois Knoll
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20200903/33dec0d9/attachment.html>