International Symposium on Neural Networks, ISNN 2017


Title/Authors Title Research Artifacts
[?] A research artifact is any by-product of a research project that is not directly included in the published research paper. In Computer Science research this is often source code and data sets, but it could also be media, documentation, inputs to proof assistants, shell-scripts to run experiments, etc.
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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

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Fuzzy Modeling from Black-Box Data with Deep Learning Techniques

Erick De la Rosa, Wen Yu, Humberto Sossa

Fuzzy Modeling from Black-Box Data with Deep Learning Techniques

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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

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Classifying Helmeted and Non-helmeted Motorcyclists

Atsushi Hirota, Nguyen Huy Tiep, Le Van Khanh, Natsuki Oka

Classifying Helmeted and Non-helmeted Motorcyclists

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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

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LSTM with Matrix Factorization for Road Speed Prediction

Jian Hu, Xin Xin, Ping Guo

LSTM with Matrix Factorization for Road Speed Prediction

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Clustering with Multidimensional Mixture Models: Analysis on World Development Indicators

Leonard K. M. Poon

Clustering with Multidimensional Mixture Models: Analysis on World Development Indicators

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Attracting Sets of Non-autonomous Complex-Valued Neural Networks with both Distributed and Time-Varying Delays

Zhao Yang, Xiaofeng Liao

Attracting Sets of Non-autonomous Complex-Valued Neural Networks with both Distributed and Time-Varying Delays

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Single Channel Speech Separation Using Deep Neural Network

Linlin Chen, Xiaohong Ma, Shuxue Ding

Single Channel Speech Separation Using Deep Neural Network

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Adaptive Control Strategy for Projective Synchronization of Neural Networks

Abdujelil Abdurahman, Cheng Hu, Ahmadjan Muhammadhaji, Haijun Jiang

Adaptive Control Strategy for Projective Synchronization of Neural Networks

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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

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Real-Time Classification Through a Spiking Deep Belief Network with Intrinsic Plasticity

Fangzheng Xue, Xuyang Chen, Xiumin Li

Real-Time Classification Through a Spiking Deep Belief Network with Intrinsic Plasticity

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Matrix Neural Networks

Junbin Gao, Yi Guo, Zhiyong Wang

Matrix Neural Networks

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Stability and Stabilization of Time-Delayed Fractional Order Neural Networks via Matrix Measure

Fei Wang, Yongqing Yang, Jianquan Lu, Jinde Cao

Stability and Stabilization of Time-Delayed Fractional Order Neural Networks via Matrix Measure

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Using Neural Network Formalism to Solve Multiple-Instance Problems

Tomás Pevný, Petr Somol

Using Neural Network Formalism to Solve Multiple-Instance Problems

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FPGA Implementation of the L Smallest k-Subsets Sum Problem Based on the Finite-Time Convergent Recurrent Neural Network

Shenshen Gu, Xiaowen Wang

FPGA Implementation of the L Smallest k-Subsets Sum Problem Based on the Finite-Time Convergent Recurrent Neural Network

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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

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A Cooperative Projection Neural Network for Fast Solving Linear Reconstruction Problems

Youshen Xia

A Cooperative Projection Neural Network for Fast Solving Linear Reconstruction Problems

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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

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Alpine Plants Recognition with Deep Convolutional Neural Network

Tomoaki Negishi, Motonobu Hattori

Alpine Plants Recognition with Deep Convolutional Neural Network

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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

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Reservoir Computing with a Small-World Network for Discriminating Two Sequential Stimuli

Ke Bai, Fangzhou Liao, Xiaolin Hu

Reservoir Computing with a Small-World Network for Discriminating Two Sequential Stimuli

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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

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On Designing New Structures with Emergent Computing Properties

Daniela Danciu, Vladimir Rasvan

On Designing New Structures with Emergent Computing Properties

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Convolutional Neural Networks for Thai Poem Classification

Nuttachot Promrit, Sajjaporn Waijanya

Convolutional Neural Networks for Thai Poem Classification

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Simplified Particle Swarm Optimization Algorithm Based on Improved Learning Factors

Wei Gao, Chuyi Song, Jingqing Jiang, Chenggang Zhang

Simplified Particle Swarm Optimization Algorithm Based on Improved Learning Factors

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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

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Global Asymptotic Stability for Octonion-Valued Neural Networks with Delay

Calin-Adrian Popa

Global Asymptotic Stability for Octonion-Valued Neural Networks with Delay

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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

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V2G Demand Prediction Based on Daily Pattern Clustering and Artificial Neural Networks

Junghoon Lee, Gyung-Leen Park

V2G Demand Prediction Based on Daily Pattern Clustering and Artificial Neural Networks

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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

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Several Logic Gates Extended from MAGIC-Memristor-Aided Logic

Lin Chen, Zhong He, Xiaoping Wang, Zhigang Zeng

Several Logic Gates Extended from MAGIC-Memristor-Aided Logic

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Dominant Set Based Density Kernel and Clustering

Jian Hou, Shen Yin

Dominant Set Based Density Kernel and Clustering

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Cognitive Load Recognition Using Multi-channel Complex Network Method

Jian Shang, Wei Zhang, Jiang Xiong, Qingshan Liu

Cognitive Load Recognition Using Multi-channel Complex Network Method

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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

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A Quaternionic Rate-Based Synaptic Learning Rule Derived from Spike-Timing Dependent Plasticity

Guang Qiao, Hongyue Du, Yi Zeng

A Quaternionic Rate-Based Synaptic Learning Rule Derived from Spike-Timing Dependent Plasticity

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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

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Hamiltonian-Driven Adaptive Dynamic Programming Based on Extreme Learning Machine

Yongliang Yang, Donald Wunsch, Zhishan Guo, Yixin Yin

Hamiltonian-Driven Adaptive Dynamic Programming Based on Extreme Learning Machine

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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

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Event-Triggering Sampling Based Synchronization of Delayed Complex Dynamical Networks: An M-matrix Approach

Yang Tang

Event-Triggering Sampling Based Synchronization of Delayed Complex Dynamical Networks: An M-matrix Approach

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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

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A Soft Computing Prefetcher to Mitigate Cache Degradation by Web Robots

Ning Xie, Kyle Brown, Nathan Rude, Derek Doran

A Soft Computing Prefetcher to Mitigate Cache Degradation by Web Robots

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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

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Burst and Correlated Firing in Spiking Neural Network with Global Inhibitory Feedback

Jinli Xie, Qinjun Zhao, Jianyu Zhao

Burst and Correlated Firing in Spiking Neural Network with Global Inhibitory Feedback

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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

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An Enhanced K-Nearest Neighbor Classification Method Based on Maximal Coherence and Validity Ratings

Nian Zhang, Jiang Xiong, Jing Zhong, Lara A. Thompson, Hong Ying

An Enhanced K-Nearest Neighbor Classification Method Based on Maximal Coherence and Validity Ratings

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Many-Objective Optimisation of Trusses Through Meta-Heuristics

Nantiwat Pholdee, Sujin Bureerat, Papot Jaroenapibal, Thana Radpukdee

Many-Objective Optimisation of Trusses Through Meta-Heuristics

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Text Classification Based on ReLU Activation Function of SAE Algorithm

Jia-Le Cui, Shuang Qiu, Mingyang Jiang, Zhi-Li Pei, Yi-Nan Lu

Text Classification Based on ReLU Activation Function of SAE Algorithm

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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

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Fast Sparse Least Squares Support Vector Machines by Block Addition

Fumito Ebuchi, Takuya Kitamura

Fast Sparse Least Squares Support Vector Machines by Block Addition

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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

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Coexistence and Local Exponential Stability of Multiple Equilibria in Memristive Neural Networks with a Class of General Nonmonotonic Activation Functions

Yujiao Huang, Shijun Chen, Jie Xiao, Pengyi Hao

Coexistence and Local Exponential Stability of Multiple Equilibria in Memristive Neural Networks with a Class of General Nonmonotonic Activation Functions

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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

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A Portable Prognostic System for Bearing Monitoring

Bulent Ayhan, Chiman Kwan, Steven Liang

A Portable Prognostic System for Bearing Monitoring

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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

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Credit Risk Assessment Based on Flexible Neural Tree Model

Yishen Zhang, Dong Wang, Yuehui Chen, Yaou Zhao, Peng Shao, Qingfang Meng

Credit Risk Assessment Based on Flexible Neural Tree Model

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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

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Exponential Stability of the Coupled Neural Networks with Different State Dimensions

Jieyin Mai, Manchun Tan, Yunfeng Liu, Desheng Xu

Exponential Stability of the Coupled Neural Networks with Different State Dimensions

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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

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Sparse Direct Convolutional Neural Network

Vijay Daultani, Yoshiyuki Ohno, Kazuhisa Ishizaka

Sparse Direct Convolutional Neural Network

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Parameter Estimation of Linear Systems with Quantized Innovations

Changchang Hu

Parameter Estimation of Linear Systems with Quantized Innovations

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Online Multi-threshold Learning with Imbalanced Data Stream

Xufen Cai, Min Yang, Rong Zhu, Xiaoyan Li, Long Ye, Qin Zhang

Online Multi-threshold Learning with Imbalanced Data Stream

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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

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A Comparative Study of Machine Learning Techniques for Automatic Product Categorisation

Chanawee Chavaltada, Kitsuchart Pasupa, David R. Hardoon

A Comparative Study of Machine Learning Techniques for Automatic Product Categorisation

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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

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Application of Deep Belief Network to Land Cover Classification Using Hyperspectral Images

Bulent Ayhan, Chiman Kwan

Application of Deep Belief Network to Land Cover Classification Using Hyperspectral Images

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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

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Phase Constraint and Deep Neural Network for Speech Separation

Zhuangguo Miao, Xiaohong Ma, Shuxue Ding

Phase Constraint and Deep Neural Network for Speech Separation

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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

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Virtual Structure Formation Control via Sliding Mode Control and Neural Networks

Qi Qin, Tieshan Li, Cheng Liu, C. L. Philip Chen, Min Han

Virtual Structure Formation Control via Sliding Mode Control and Neural Networks

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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

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Scaling of Texture in Training Autoencoders for Classification of Histological Images of Colorectal Cancer

Tuan D. Pham

Scaling of Texture in Training Autoencoders for Classification of Histological Images of Colorectal Cancer

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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

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Adaptive Neural Network Control for Constrained Robot Manipulators

Gang Wang, Tairen Sun, Yongping Pan, Haoyong Yu

Adaptive Neural Network Control for Constrained Robot Manipulators

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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

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Deep Semantics-Preserving Hashing Based Skin Lesion Image Retrieval

Xiaorong Pu, Yan Li, Hang Qiu, Yinhui Sun

Deep Semantics-Preserving Hashing Based Skin Lesion Image Retrieval

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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

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The Feature Extraction Method of EEG Signals Based on Transition Network

Mingmin Liu, Qingfang Meng, Qiang Zhang, Dong Wang, Hanyong Zhang

The Feature Extraction Method of EEG Signals Based on Transition Network

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Enhancement of Neuronal Activity by Receptor-Mediated Gliotransmission

Taira Kobayashi, Asahi Ishiyama, Osamu Hoshino

Enhancement of Neuronal Activity by Receptor-Mediated Gliotransmission

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Sparse Representation with Global and Nonlocal Self-similarity Prior for Single Image Super-Resolution

Weiguo Gong, Xi Chen, Jinming Li, Yongliang Tang, Weihong Li

Sparse Representation with Global and Nonlocal Self-similarity Prior for Single Image Super-Resolution

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

Q. Song, T. Sun

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

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Audio Source Separation from a Monaural Mixture Using Convolutional Neural Network in the Time Domain

Peng Zhang, Xiaohong Ma, Shuxue Ding

Audio Source Separation from a Monaural Mixture Using Convolutional Neural Network in the Time Domain

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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

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Neural Oscillations as a Bridge Between GABAergic System and Emotional Behaviors

Tao Zhang, Qun Li, Zhuo Yang

Neural Oscillations as a Bridge Between GABAergic System and Emotional Behaviors

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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

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Fast Conceptor Classifier in Pre-trained Neural Networks for Visual Recognition

Guangwu Qian, Lei Zhang, Qianjun Zhang

Fast Conceptor Classifier in Pre-trained Neural Networks for Visual Recognition

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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

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A Neural Autoregressive Framework for Collaborative Filtering

Zhen Ouyang, Chen Sun, Chunping Li

A Neural Autoregressive Framework for Collaborative Filtering

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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

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Approximation-Based Adaptive Neural Tracking Control of an Uncertain Robot with Output Constraint and Unknown Time-Varying Delays

Dapeng Li, Yan-Jun Liu, Dong-Juan Li, Shaocheng Tong, Duo Meng, Guo-Xing Wen

Approximation-Based Adaptive Neural Tracking Control of an Uncertain Robot with Output Constraint and Unknown Time-Varying Delays

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A Collective Neurodynamic Optimization Approach to Nonnegative Tensor Decomposition

Jianchao Fan, Jun Wang

A Collective Neurodynamic Optimization Approach to Nonnegative Tensor Decomposition

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Nonsingular Terminal Sliding Mode Based Trajectory Tracking Control of an Autonomous Surface Vehicle with Finite-Time Convergence

Shuailin Lv, Ning Wang, Yong Wang, Jianchuan Yin, Meng Joo Er

Nonsingular Terminal Sliding Mode Based Trajectory Tracking Control of an Autonomous Surface Vehicle with Finite-Time Convergence

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Enhancing Auscultation Capability in Spacecraft

Jin Zhou, Chiman Kwan

Enhancing Auscultation Capability in Spacecraft

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Input Dimension Determination of Linear Feedback Neural Network Applied for System Identification of Linear Systems

Wenle Zhang

Input Dimension Determination of Linear Feedback Neural Network Applied for System Identification of Linear Systems

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Neural Network Based Power Tracking Control of Wind Farm

Liyuan Liang, Yongduan Song, Mi Tan

Neural Network Based Power Tracking Control of Wind Farm

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Fuzzy Uncertainty Observer Based Filtered Sliding Mode Trajectory Tracking Control of the Quadrotor

Yong Wang, Ning Wang, Shuailin Lv, Jianchuan Yin, Meng Joo Er

Fuzzy Uncertainty Observer Based Filtered Sliding Mode Trajectory Tracking Control of the Quadrotor

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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

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Deep Belief Networks for EEG-Based Concealed Information Test

Qi Liu, Xiaoguang Zhao, Zeng-Guang Hou, Hong-Guang Liu

Deep Belief Networks for EEG-Based Concealed Information Test

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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

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Exponential Stability of Neutral T-S Fuzzy Neural Networks with Impulses

Shujun Long, Bing Li

Exponential Stability of Neutral T-S Fuzzy Neural Networks with Impulses

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Underwater Moving Target Detection Based on Image Enhancement

Yan Zhou, Qingwu Li, Guanying Huo

Underwater Moving Target Detection Based on Image Enhancement

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Finite-Time Synchronization of Uncertain Complex Networks with Nonidentical Nodes Based on a Special Unilateral Coupling Control

Meng Zhang, Min Han

Finite-Time Synchronization of Uncertain Complex Networks with Nonidentical Nodes Based on a Special Unilateral Coupling Control

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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

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A Method Using the Lempel-Ziv Complexity to Detect Ventricular Tachycardia and Fibrillation

Deling Xia, Yuetian Li, Qingfang Meng, Jie He

A Method Using the Lempel-Ziv Complexity to Detect Ventricular Tachycardia and Fibrillation

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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

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A Study on the Effects of Lesions on CA3b in Hippocampus

Babak Keshavarz Hedayati, Nikitas J. Dimopoulos, Arif Babul

A Study on the Effects of Lesions on CA3b in Hippocampus

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EMR: Extended Manifold Ranking for Saliency Detection

Bo Li, Hang Gao, Han Liu

EMR: Extended Manifold Ranking for Saliency Detection

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Abnormal Event Detection in Videos Using Spatiotemporal Autoencoder

Yong Shean Chong, Yong Haur Tay

Abnormal Event Detection in Videos Using Spatiotemporal Autoencoder

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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

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Multi-channel EEG Classification Based on Fast Convolutional Feature Extraction

Qian Wang, Yongjun Hu, He Chen

Multi-channel EEG Classification Based on Fast Convolutional Feature Extraction

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Noise Resistant Training for Extreme Learning Machine

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Noise Resistant Training for Extreme Learning Machine

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A Programmable Memristor Potentiometer and Its Application in the Filter Circuit

Jinpei Tan, Shukai Duan, Ting Yang, Hangtao Zhu

A Programmable Memristor Potentiometer and Its Application in the Filter Circuit

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

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

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Joining External Context Characters to Improve Chinese Word Embedding

Xianchao Zhang, Shike Liu, Yuangang Li, Wenxin Liang

Joining External Context Characters to Improve Chinese Word Embedding

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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

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Hearing Loss Detection in Medical Multimedia Data by Discrete Wavelet Packet Entropy and Single-Hidden Layer Neural Network Trained by Adaptive Learning-Rate Back Propagation

Shuihua Wang, Sidan Du, Yang Li, Huimin Lu, Ming Yang, Bin Liu, Yudong Zhang

Hearing Loss Detection in Medical Multimedia Data by Discrete Wavelet Packet Entropy and Single-Hidden Layer Neural Network Trained by Adaptive Learning-Rate Back Propagation

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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

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Motion and Visual Control for an Upper-Limb Exoskeleton Robot via Learning

Jian-Bin Huang, I-Yu Lin, Kuu-Young Young, Chun-Hsu Ko

Motion and Visual Control for an Upper-Limb Exoskeleton Robot via Learning

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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

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Rapid Triangle Matching Based on Binary Descriptors

Min Tian, Qiu-Hua Lin

Rapid Triangle Matching Based on Binary Descriptors

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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

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Detecting Community Structure Based on Optimized Modularity by Genetic Algorithm in Resting-State fMRI

Xing Hao Huang, Yuqing Song, Ding An Liao, Hu Lu

Detecting Community Structure Based on Optimized Modularity by Genetic Algorithm in Resting-State fMRI

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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

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A Generalized Policy Iteration Adaptive Dynamic Programming Algorithm for Optimal Control of Discrete-Time Nonlinear Systems with Actuator Saturation

Qiao Lin, Qinglai Wei, Bo Zhao

A Generalized Policy Iteration Adaptive Dynamic Programming Algorithm for Optimal Control of Discrete-Time Nonlinear Systems with Actuator Saturation

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A Novel Spatial Information Model for Saliency Detection

Hang Gao, Bo Li, Han Liu

A Novel Spatial Information Model for Saliency Detection

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Robust NN Control of the Manipulator in the Underwater Vehicle-Manipulator System

Weilin Luo, Hongchao Cong

Robust NN Control of the Manipulator in the Underwater Vehicle-Manipulator System

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A Genetic Approach to Fusion of Algorithms for Compressive Sensing

Hanxu You, Jie Zhu

A Genetic Approach to Fusion of Algorithms for Compressive Sensing

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Neural Adaptive Dynamic Surface Control of Nonlinear Systems with Partially Constrained Tracking Errors and Input Saturation

Hairong Dong, Xiaoyu Wang, Shigen Gao, Yubing Wang

Neural Adaptive Dynamic Surface Control of Nonlinear Systems with Partially Constrained Tracking Errors and Input Saturation

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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

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A New Epileptic Seizure Detection Method Based on Degree Centrality and Linear Features

Haihong Liu, Qingfang Meng, Yingda Wei, Qiang Zhang, Mingmin Liu, Jin Zhou

A New Epileptic Seizure Detection Method Based on Degree Centrality and Linear Features

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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

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Industrial Oil Pipeline Leakage Detection Based on Extreme Learning Machine Method

Honglue Zhang, Qi Li, Xiaoping Zhang, Wei Ba

Industrial Oil Pipeline Leakage Detection Based on Extreme Learning Machine Method

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Enhancing Mastcam Images for Mars Rover Mission

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

Enhancing Mastcam Images for Mars Rover Mission

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Saturated Kinetic Control of Autonomous Surface Vehicles Based on Neural Networks

Zhouhua Peng, Jun Wang, Dan Wang

Saturated Kinetic Control of Autonomous Surface Vehicles Based on Neural Networks

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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

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