International Symposium on Neural Networks, ISNN 2017

Collaborative Response Content Recommendation for Customer Service Agents

Cuihua Ma, Ping Guo, Xin Xin, Xiaoyu Ma, Yanjie Liang, Shaomin Xing, Li Li, Shaozhuang Liu

Collaborative Response Content Recommendation for Customer Service Agents

Metrics and the Cooperative Process of the Self-organizing Map Algorithm

William H. Wilson

Metrics and the Cooperative Process of the Self-organizing Map Algorithm

Static Hand Gesture Recognition Based on RGB-D Image and Arm Removal

Bingyuan Xu, Zhiheng Zhou, Junchu Huang, Yu Huang

Static Hand Gesture Recognition Based on RGB-D Image and Arm Removal

Clustering with Multidimensional Mixture Models: Analysis on World Development Indicators

Leonard K. M. Poon

Clustering with Multidimensional Mixture Models: Analysis on World Development Indicators

• https://github.com/kmpoon/pltm-east

Single Channel Speech Separation Using Deep Neural Network

Linlin Chen, Xiaohong Ma, Shuxue Ding

Single Channel Speech Separation Using Deep Neural Network

Critical Echo State Networks that Anticipate Input Using Morphable Transfer Functions

Norbert Michael Mayer

Critical Echo State Networks that Anticipate Input Using Morphable Transfer Functions

Matrix Neural Networks

Junbin Gao, Yi Guo, Zhiyong Wang

Matrix Neural Networks

Using Neural Network Formalism to Solve Multiple-Instance Problems

Tomás Pevný, Petr Somol

Using Neural Network Formalism to Solve Multiple-Instance Problems

• http://github.com/Pevnak
• pevnak@gmail.com

Web Content Extraction Using Clustering with Web Structure

Xiaotao Huang, Yan Gao, Liqun Huang, Zhizhao Zhang, Yuhua Li, Fen Wang, Ling Kang

Web Content Extraction Using Clustering with Web Structure

A Caputo-Type Fractional-Order Gradient Descent Learning of BP Neural Networks

Guoling Yang, Bingjie Zhang, Zhaoyang Sang, Jian Wang, Hua Chen

A Caputo-Type Fractional-Order Gradient Descent Learning of BP Neural Networks

Relief R-CNN: Utilizing Convolutional Features for Fast Object Detection

Guiying Li, Junlong Liu, Chunhui Jiang, Liangpeng Zhang, Minlong Lin, Ke Tang

Relief R-CNN: Utilizing Convolutional Features for Fast Object Detection

• https://github.com/IdiosyncraticDragon/relief_rcnn
• lgy147@mail.ustc.edu.cn

Possibilities of Neural Networks for Personalization Approaches for Prevention of Complications After Endovascular Interventions

Tatiana V. Lazovskaya, Dmitriy A. Tarkhov, Gelena A. Berezovskaya, Nikolay N. Petrischev, Ildar U. Zulkarnay

Possibilities of Neural Networks for Personalization Approaches for Prevention of Complications After Endovascular Interventions

Convolutional Neural Networks for Thai Poem Classification

Nuttachot Promrit, Sajjaporn Waijanya

Convolutional Neural Networks for Thai Poem Classification

An Arctan-Activated WASD Neural Network Approach to the Prediction of Dow Jones Industrial Average

Bolin Liao, Chuan Ma, Lin Xiao, Rongbo Lu, Lei Ding

An Arctan-Activated WASD Neural Network Approach to the Prediction of Dow Jones Industrial Average

Accelerating Stochastic Variance Reduced Gradient Using Mini-Batch Samples on Estimation of Average Gradient

Junchu Huang, Zhiheng Zhou, Bingyuan Xu, Yu Huang

Accelerating Stochastic Variance Reduced Gradient Using Mini-Batch Samples on Estimation of Average Gradient

Logic Calculation Based on Two-Domain DNA Strand Displacement

Xiaobiao Wang, Changjun Zhou, Xuedong Zheng, Qiang Zhang

Logic Calculation Based on Two-Domain DNA Strand Displacement

Dominant Set Based Density Kernel and Clustering

Jian Hou, Shen Yin

Dominant Set Based Density Kernel and Clustering

The Critical Dynamics in Neural Network Improve the Computational Capability of Liquid State Machines

Xiumin Li, Qing Chen, Fangzheng Xue, Hongjun Zhou

The Critical Dynamics in Neural Network Improve the Computational Capability of Liquid State Machines

Multi-task Learning with Cartesian Product-Based Multi-objective Combination for Dangerous Object Detection

Yaran Chen, Dongbin Zhao

Multi-task Learning with Cartesian Product-Based Multi-objective Combination for Dangerous Object Detection

A Complex Gradient Neural Dynamics for Fast Complex Matrix Inversion

Lin Xiao, Bolin Liao, Qinli Zeng, Lei Ding, Rongbo Lu

A Complex Gradient Neural Dynamics for Fast Complex Matrix Inversion

Bootstrap Based on Generalized Regression Neural Network for Landslide Displacement for Interval Prediction

Jiejie Chen, Zhigang Zeng, Ping Jiang

Bootstrap Based on Generalized Regression Neural Network for Landslide Displacement for Interval Prediction

Learning Human-Understandable Description of Dynamical Systems from Feed-Forward Neural Networks

Sophie Tourret, Enguerrand Gentet, Katsumi Inoue

Learning Human-Understandable Description of Dynamical Systems from Feed-Forward Neural Networks

The Mixed States of Associative Memories Realize Unimodal Distribution of Dominance Durations in Multistable Perception

Takashi Kanamaru

The Mixed States of Associative Memories Realize Unimodal Distribution of Dominance Durations in Multistable Perception

Many-Objective Optimisation of Trusses Through Meta-Heuristics

Nantiwat Pholdee, Sujin Bureerat, Papot Jaroenapibal, Thana Radpukdee

Many-Objective Optimisation of Trusses Through Meta-Heuristics

State Estimation for Autonomous Surface Vehicles Based on Echo State Networks

Zhouhua Peng, Jun Wang, Dan Wang

State Estimation for Autonomous Surface Vehicles Based on Echo State Networks

Synchronization Analysis for Complex Networks with Interval Coupling Delay

Dawei Gong, Xiaolin Dai, Jinliang Song, Bonan Huang

Synchronization Analysis for Complex Networks with Interval Coupling Delay

Global Exponential Stability for Matrix-Valued Neural Networks with Time Delay

Calin-Adrian Popa

Global Exponential Stability for Matrix-Valued Neural Networks with Time Delay

Stability of Complex-Valued Neural Networks with Two Additive Time-Varying Delay Components

Zhenjiang Zhao, Qiankun Song, Yuchen Zhao

Stability of Complex-Valued Neural Networks with Two Additive Time-Varying Delay Components

A Reinforcement Learning Method with Implicit Critics from a Bystander

Kao-Shing Hwang, Chi-Wei Hsieh, Wei-Cheng Jiang, Jin-Ling Lin

A Reinforcement Learning Method with Implicit Critics from a Bystander

Optimal KD-Partitioning for the Local Outlier Detection in Geo-Social Points

Teerawat Kumrai, Kyoung-Sook Kim, Mianxiong Dong, Hirotaka Ogawa

Optimal KD-Partitioning for the Local Outlier Detection in Geo-Social Points

Parameter Estimation of Linear Systems with Quantized Innovations

Changchang Hu

Parameter Estimation of Linear Systems with Quantized Innovations

Construction and Analysis of Meteorological Elements Correlation Network

Cui-juan Fang, Fengjing Shao, Wen-Peng Zhou, Chun-Xiao Xing, Yi Sui

Construction and Analysis of Meteorological Elements Correlation Network

INFERNO: A Novel Architecture for Generating Long Neuronal Sequences with Spikes

Alex Pitti, Philippe Gaussier, Mathias Quoy

INFERNO: A Novel Architecture for Generating Long Neuronal Sequences with Spikes

Real-Time Decoding of Arm Kinematics During Grasping Based on F5 Neural Spike Data

Narges Ashena, Vassilis Papadourakis, Vassilis Raos, Erhan Öztop

Real-Time Decoding of Arm Kinematics During Grasping Based on F5 Neural Spike Data

Human-Like Robot Arm Robust Nonlinear Control Using a Bio-inspired Controller with Uncertain Properties

Yiping Chang, Aihui Wang, Shengjun Wen, Wudai Liao

Human-Like Robot Arm Robust Nonlinear Control Using a Bio-inspired Controller with Uncertain Properties

Neuro-Adaptive Containment Seeking of Multiple Networking Agents with Unknown Dynamics

Guanghui Wen, Peijun Wang, Tingwen Huang, Long Cheng, Junyong Sun

Neuro-Adaptive Containment Seeking of Multiple Networking Agents with Unknown Dynamics

Impacts of Working Memory Training on Brain Network Topology

Dongping Zhao, Qiushi Zhang, Li Yao, Xiao-jie Zhao

Impacts of Working Memory Training on Brain Network Topology

A Multiple-objective Neurodynamic Optimization to Electric Load Management Under Demand-Response Program

Xinyi Le, Sijie Chen, Yu Zheng, Juntong Xi

A Multiple-objective Neurodynamic Optimization to Electric Load Management Under Demand-Response Program

Study on Differences of Early-Mid ERPs Induced by Emotional Face and Scene Images

Xin Wang, Jingna Jin, Zhipeng Liu, Tao Yin

Study on Differences of Early-Mid ERPs Induced by Emotional Face and Scene Images

Enhancement of Neuronal Activity by Receptor-Mediated Gliotransmission

Taira Kobayashi, Asahi Ishiyama, Osamu Hoshino

Enhancement of Neuronal Activity by Receptor-Mediated Gliotransmission

Neuroadaptive PID-like Fault-Tolerant Control of High Speed Trains with Uncertain Model and Unknown Tracking/Braking Actuation Characteristics

Qi Song, Tao Sun

Neuroadaptive PID-like Fault-Tolerant Control of High Speed Trains with Uncertain Model and Unknown Tracking/Braking Actuation Characteristics

An Improved Symbol Entropy Algorithm Based on EMD for Detecting VT and VF

Yingda Wei, Qingfang Meng, Haihong Liu, Jin Zhou, Dong Wang

An Improved Symbol Entropy Algorithm Based on EMD for Detecting VT and VF

Saliency Detection Optimization via Modified Secondary Manifold Ranking and Blurring Depression

Han Liu, Bo Li, Hang Gao

Saliency Detection Optimization via Modified Secondary Manifold Ranking and Blurring Depression

Video-Based Fire Detection with Saliency Detection and Convolutional Neural Networks

Lifeng Shi, Fei Long, ChenHan Lin, Yihan Zhao

Video-Based Fire Detection with Saliency Detection and Convolutional Neural Networks

Detection of Epileptic Seizure in EEG Using Sparse Representation and EMD

Qingfang Meng, Shanshan Chen, Haihong Liu, Yunxia Liu, Dong Wang

Detection of Epileptic Seizure in EEG Using Sparse Representation and EMD

A Collective Neurodynamic Optimization Approach to Nonnegative Tensor Decomposition

Jianchao Fan, Jun Wang

A Collective Neurodynamic Optimization Approach to Nonnegative Tensor Decomposition

Enhancing Auscultation Capability in Spacecraft

Jin Zhou, Chiman Kwan

Enhancing Auscultation Capability in Spacecraft

Neural Network Based Power Tracking Control of Wind Farm

Liyuan Liang, Yongduan Song, Mi Tan

Neural Network Based Power Tracking Control of Wind Farm

Cluster Aggregation for Analyzing Event-Related Potentials

Reza Mahini, Tianyi Zhou, Peng Li, Asoke K. Nandi, Huanjie Li, Hong Li, Fengyu Cong

Cluster Aggregation for Analyzing Event-Related Potentials

Hybrid Order l 0-Regularized Blur Kernel Estimation Model for Image Blind Deblurring

Weihong Li, Yangqing Chen, Rui Chen, Weiguo Gong, Bingxin Zhao

Hybrid Order l 0-Regularized Blur Kernel Estimation Model for Image Blind Deblurring

Underwater Moving Target Detection Based on Image Enhancement

Yan Zhou, Qingwu Li, Guanying Huo

Underwater Moving Target Detection Based on Image Enhancement

Local Policy Iteration Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems

Qinglai Wei, Yancai Xu, Qiao Lin, Derong Liu, Ruizhuo Song

Local Policy Iteration Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems

A Novel Biologically Inspired Hierarchical Model for Image Recommendation

Yan-Feng Lu, Hong Qiao, Yi Li, Li-Hao Jia, Ai-Xuan Zhang

A Novel Biologically Inspired Hierarchical Model for Image Recommendation

EMR: Extended Manifold Ranking for Saliency Detection

Bo Li, Hang Gao, Han Liu

EMR: Extended Manifold Ranking for Saliency Detection

An Application of Master-Slave ADALINE for State Estimation of Power System

Zhanshan Wang, Haoyuan Gao, Huaguang Zhang

An Application of Master-Slave ADALINE for State Estimation of Power System

Noise Resistant Training for Extreme Learning Machine

Yik Lam Lui, Hiu Tung Wong, Chi-Sing Leung, Sam Kwong

Noise Resistant Training for Extreme Learning Machine

Adaptive NNs Fault-Tolerant Control for Nonstrict-Feedback Nonlinear Systems

Guowei Dong, Yongming Li, Duo Meng, Fuming Sun, Rui Bai

Adaptive NNs Fault-Tolerant Control for Nonstrict-Feedback Nonlinear Systems

How the Prior Information Shapes Neural Networks for Optimal Multisensory Integration

He Wang, Wenhao Zhang, K. Y. Michael Wong, Si Wu

How the Prior Information Shapes Neural Networks for Optimal Multisensory Integration

A Selective Transfer Learning Method for Concept Drift Adaptation

Ge Xie, Yu Sun, Minlong Lin, Ke Tang

A Selective Transfer Learning Method for Concept Drift Adaptation

Pin Defect Inspection with X-ray Images

Hsien-Pei Kao, Tzu-Chia Tung, Hong-Yi Chen, Cheng-Shih Wong, Chiou-Shann Fuh

Pin Defect Inspection with X-ray Images

Neuro Adaptive Control of Asymmetrically Driven Mobile Robots with Uncertainties

Zhixi Shen, Yaping Ma, Yongduan Song

Neuro Adaptive Control of Asymmetrically Driven Mobile Robots with Uncertainties

Comparison of Functional Network Connectivity and Granger Causality for Resting State fMRI Data

Ce Zhang, Qiu-Hua Lin, Chao-Ying Zhang, Ying-Guang Hao, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun

Comparison of Functional Network Connectivity and Granger Causality for Resting State fMRI Data

A Novel Spatial Information Model for Saliency Detection

Hang Gao, Bo Li, Han Liu

A Novel Spatial Information Model for Saliency Detection

A Genetic Approach to Fusion of Algorithms for Compressive Sensing

Hanxu You, Jie Zhu

A Genetic Approach to Fusion of Algorithms for Compressive Sensing

Leveraging Convolutions in Recurrent Neural Networks for Doppler Weather Radar Echo Prediction

Sonam Singh, Sudeshna Sarkar, Pabitra Mitra

Leveraging Convolutions in Recurrent Neural Networks for Doppler Weather Radar Echo Prediction

On the Co-absence of Input Terms in Higher Order Neuron Representation of Boolean Functions

Oytun Yapar, Erhan Öztop

On the Co-absence of Input Terms in Higher Order Neuron Representation of Boolean Functions

Enhancing Mastcam Images for Mars Rover Mission

Minh Dao, Chiman Kwan, Bulent Ayhan, James F. Bell

Enhancing Mastcam Images for Mars Rover Mission

A Comparison Between Two Motion-Onset Visual BCI Patterns: Diffusion vs Contraction

Minqiang Huang, Hanhan Zhang, Jing Jin, Yu Zhang, Xingyu Wang

A Comparison Between Two Motion-Onset Visual BCI Patterns: Diffusion vs Contraction