Connectionists: NEURAL NETWORKS, Dec. 2018

[DeLiang Wang]

Neural Networks - Volume 108, December 2018
http://www.journals.elsevier.com/neural-networks


Evolving Spiking Neural Networks for online learning over drifting data 
streams
Jesus L. Lobo, Ibai Lana, Javier Del Ser, Miren Nekane Bilbao, Nikola 
Kasabov

State representation learning for control: An overview
Timothee Lesort, Natalia Diaz-Rodriguez, Jean-Frano̧is Goudou, David Filliat

Born to learn: The inspiration, progress, and future of evolved plastic 
artificial neural networks
Andrea Soltoggio, Kenneth O. Stanley, Sebastian Risi

Soft + Hardwired attention: An LSTM framework for human trajectory 
prediction and abnormal event detection
Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes

Estimation of neural connections from partially observed neural spikes
Taishi Iwasaki, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata

A video-driven model of response statistics in the primate middle 
temporal area
Omid Rezai, Pinar Boyraz Jentsch, Bryan Tripp

Fuzzy c-means-based architecture reduction of a probabilistic neural 
network
Maciej Kusy

Design of deep echo state networks
Claudio Gallicchio, Alessio Micheli, Luca Pedrelli

Low-rank representation with adaptive graph regularization
Jie Wen, Xiaozhao Fang, Yong Xu, Chunwei Tian, Lunke Fei

A model of operant learning based on chaotically varying synaptic strength
Tianqi Wei, Barbara Webb

Adaptive non-negative projective semi-supervised learning for inductive 
classification
Zhao Zhang, Lei Jia, Mingbo Zhao, Qiaolin Ye, ... Meng Wang

Multi-view clustering on unmapped data via constrained non-negative 
matrix factorization
Linlin Zong, Xianchao Zhang, Xinyue Liu

Low-rank and sparse embedding for dimensionality reduction
Na Han, Jigang Wu, Yingyi Liang, Xiaozhao Fang, ... Shaohua Teng

Sign backpropagation: An on-chip learning algorithm for analog RRAM 
neuromorphic computing systems
Qingtian Zhang, Huaqiang Wu, Peng Yao, Wenqiang Zhang, ... He Qian

Distant supervision for relation extraction with hierarchical selective 
attention
Peng Zhou, Jiaming Xu, Zhenyu Qi, Hongyun Bao, ... Bo Xu

Trainable spectral difference learning with spatial starting for 
hyperspectral image denoising
Weiying Xie, Yunsong Li, Jing Hu, Duan-Yu Chen

Transfer collaborative filtering from multiple sources via consensus 
regularization
Fuzhen Zhuang, Jing Zheng, Jingwu Chen, Xiangliang Zhang, ... Qing He

A novel training method to preserve generalization of RBPNN classifiers 
applied to ECG signals diagnosis
Francesco Beritelli, Giacomo Capizzi, Grazia Lo Sciuto, Christian 
Napoli, Marcin Wozniak

An improved robust heteroscedastic probabilistic neural network based 
trust prediction approach for cloud service selection
Nivethitha Somu, Gauthama Raman M.R., Kalpana V., Kannan Kirthivasan, 
Shankar Sriram V.S.

The impact of encoding-decoding schemes and weight normalization in 
spiking neural networks
Zhengzhong Liang, David Schwartz, Gregory Ditzler, O. Ozan Koyluoglu

LCD: A Fast Contrastive Divergence Based Algorithm for Restricted 
Boltzmann Machine
Lin Ning, Randall Pittman, Xipeng Shen

Cost-sensitive multi-label learning with positive and negative label 
pairwise correlations
Guoqiang Wu, Yingjie Tian, Dalian Liu

Estimation theory and Neural Networks revisited: REKF and RSVSF as 
optimization techniques for Deep-Learning
Mahmoud Ismail, Mina Attari, Saeid Habibi, Samir Ziada

DGCNN: A convolutional neural network over large-scale labeled graphs
Anh Viet Phan, Minh Le Nguyen, Yen Lam Hoang Nguyen, Lam Thu Bui

EEG dipole source localization with information criteria for multiple 
particle filters
Sho Sonoda, Keita Nakamura, Yuki Kaneda, Hideitsu Hino, ... Masahiro 
Kawasaki

Bipartite synchronization in coupled delayed neural networks under 
pinning control
Fang Liu, Qiang Song, Guanghui Wen, Jinde Cao, Xinsong Yang

Exponential consensus of discrete-time non-linear multi-agent systems 
via relative state-dependent impulsive protocols
Yiyan Han, Chuandong Li, Zhigang Zeng, Hongfei Li

The Vapnik-Chervonenkis dimension of graph and recursive neural networks
Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner

Global exponential synchronization of multiple coupled inertial 
memristive neural networks with time-varying delay via nonlinear coupling
Zhenyuan Guo, Shuqing Gong, Shaofu Yang, Tingwen Huang

Optimal approximation of piecewise smooth functions using deep ReLU 
neural networks
Philipp Petersen, Felix Voigtlaender

Protocol-based state estimation for delayed Markovian jumping neural 
networks
Jiahui Li, Hongli Dong, Zidong Wang, Weidong Zhang

UKF-based remote state estimation for discrete artificial neural 
networks with communication bandwidth constraints
Yang Liu, Zidong Wang, Donghua Zhou

An improved stability result for delayed Takagi-Sugeno fuzzy 
Cohen-Grossberg neural networks
Zeynep Orman

Multiple Mittag-Leffler stability of fractional-order competitive neural 
networks with Gaussian activation functions
Pingping Liu, Xiaobing Nie, Jinling Liang, Jinde Cao

Learning in the machine: Recirculation is random backpropagation
P. Baldi, P. Sadowski

Echo state networks are universal
Lyudmila Grigoryeva, Juan-Pablo Ortega

Reachable set estimation for Markovian jump neural networks with 
time-varying delay
Wen-Juan Lin, Yong He, Min Wu, Qingping Liu

Estimating regional effects of climate change and altered land use on 
biosphere carbon fluxes using distributed time delay neural networks 
with Bayesian regularized learning
Andres Schmidt, Whitney Creason, Beverly E. Law

Monostable multivibrators as novel artificial neurons
Lars Keuninckx, Jan Danckaert, Guy Van der Sande