NDLI: Convolutional deep belief networks for feature extraction of EEG signal

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2015 International Joint Conference on Neural Networks (IJCNN)

2014 International Joint Conference on Neural Networks (IJCNN)

From ADP to the brain: Foundations, roadmap, challenges and research priorities

Data-aware remaining time prediction of business process instances

On-line Gaussian mixture density estimator for adaptive minimum bit-error-rate beamforming receivers

Data Mining Paradigm Based on Functional Networks with Applications in Landslide Prediction

B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels

Neural networks and AdaBoost algorithm based ensemble models for enhanced forecasting of nonlinear time series

Hidden space discriminant neighborhood embedding

Data dimensionality reduction approach to improve feature selection performance using sparsified SVD

Case study of Zhang matrix inverse for different ZFs leading to different nets

A supervised neighborhood preserving embedding for face recognition

Multi-kernel linear programming support vector regression with prior knowledge

Unmanned aerial vehicles (UAV) heading optimal tracking control using online kernel-based HDP algorithm

Asymmetric mixture model with variational Bayesian learning

A new weight initialization method for sigmoidal feedforward artificial neural networks

Traffic flow prediction using orthogonal arrays and Takagi-Sugeno neural fuzzy models

The state of the art of memristive neural systems: Models and applications

Model-free adaptive dynamic programming for online optimal solution of the unknown nonlinear zero-sum differential game

Controlling orthogonality constraints for better NMF clustering

Large margin image set representation and classification

Random subspaces NMF for unsupervised transfer learning

Explorer based on brain computer interface

Integrating Local and Global Manifold structures for unsupervised dimensionality reduction

Moving towards accurate monitoring and prediction of gold mine underground dam levels

Convolutional deep belief networks for feature extraction of EEG signal

Newton's method backpropagation for complex-valued holomorphic multilayer perceptrons

Dimensionality reduction assisted tensor clustering

Fuzzy c-means clustering with a new regularization term for image segmentation

Direct adaptive neural network control of a class of nonlinear systems

Fast orthogonal linear discriminant analysis with applications to image classification

Recursive soft margin subspace learning

The scalarized multi-objective multi-armed bandit problem: An empirical study of its exploration vs. exploitation tradeoff

Experimental ANN-based modeling of an adjustable damper

V4 neural network model for visual saliency and discriminative local representation of shapes

Stability analysis of nonlinear time-delay system with delayed impulsive effects

A decomposition method for large-scale sparse coding in representation learning

Identification of meat spoilage by FTIR spectroscopy and neural networks

Kernel ridge regression classification

A fast and effective Extreme learning machine algorithm without tuning

A one-layer discrete-time projection neural network for support vector classification

A locally adaptive boundary evolution algorithm for novelty detection using level set methods

Single channel single trial P300 detection using extreme learning machine: Compared with BPNN and SVM

Learning discriminative low-rank representation for image classification

Supervised Bayesian sparse coding for classification

Hybrid SVM/HMM architectures for statistical model-based voice activity detection

Color space selection for self-organizing map based foreground detection in video sequences

Reservoir-based online adaptive forward models with neural control for complex locomotion in a hexapod robot

Direct adaptive control of a four-rotor helicopter using disturbance observer

K-associated optimal network for graph embedding dimensionality reduction

Particle swarm optimization for convolved Gaussian process models

Data intensive parallel feature selection method study

Novel stability criteria of T-S fuzzy hopfield neural networks with time-varying delays and uncertainties

A Self-organized artificial neural network architecture that generates the McGurk effect

Reliable object recognition by using cooperative neural agents

Discrete-time polynomial fuzzy observer designs via a sum of squares approach

Neurodynamics-based robust eigenstructure assignment for second-order descriptor systems

Feature ensemble learning based on sparse autoencoders for image classification

Writer-independent Handwritten Signature Verification based on One-Class SVM classifier

Improved Biogeography-Based Optimization approach to secondary protein prediction

A collaborative filtering framework based on local and global similarities with similarity tie-breaking criteria

Attack detection in recommender systems based on target item analysis

SVM classification for imbalanced data using conformal kernel transformation

Competitive two-island cooperative coevolution for training Elman recurrent networks for time series prediction

The neoteric feature extraction method of epilepsy EEG based on the vertex strength distribution of weighted complex network

Analysis of disease association and susceptibility for SNP data using emotional neural networks

Video attention saliency mapping using pulse coupled neural network and optical flow

A dynamic forecasting method for small scale residential electrical demand

Adaptively weighted support vector regression for financial time series prediction

Artificial immune system application for solving dynamic optimization problems

Domain transfer nonnegative matrix factorization

Optimized selection of training samples for One-Class Neural Network classifier

Cognitive neural network for cybersecurity

An improved boosting scheme based ensemble of Fuzzy Neural Networks for nonlinear time series prediction

Synchronization control of hybrid-coupled heterogeneous complex networks

Large scale recurrent neural network on GPU

A flocking-like technique to perform semi-supervised learning

Robust LS-SVR based on variational Bayesian and its applications

Sub-classifier construction for error correcting output code using minimum weight perfect matching

Identifying stable breast cancer subgroups using semi-supervised fuzzy c-means on a reduced panel of biomarkers

Accelerating Learning in multi-objective systems through Transfer Learning

Zernike moments descriptor matching based symmetric optical flow for motion estimation and image registration

A pairwise algorithm for training multilayer perceptrons with the normalized risk-averting error criterion

An unsupervised material learning method for imaging spectroscopy

Multi-objective cooperative coevolution of neural networks for time series prediction

Label propagation and soft-similarity measure for graph based Constrained Semi-Supervised Learning

Cognitive functions of aesthetic emotions

A flexible and efficient algorithm for regularized Marginal Fisher analysis

Locality linear fitting one-class SVM with low-rank constraints for outlier detection

Integrating supervised subspace criteria with restricted Boltzmann Machine for feature extraction

A model with Fuzzy Granulation and Deep Belief Networks for exchange rate forecasting

Semi-supervised sparse coding

Explicit feature mapping via multi-layer perceptron and its application to Mine-Like Objects detection

A fast discrete-time learning algorithm for speech enhancement using noise constrained parameter estimation

A cognitive monitoring system for contaminant detection in intelligent buildings

Performance analysis of LVI-based PDNN applied to real-time solution of time-varying quadratic programming

Selecting and combining models with self-organizing maps for long-term forecasting of chaotic time series

A connectionist approach to airliner safety

Tagging documents using neural networks based on local word features

A new active labeling method for deep learning

An improved RBM based on Bayesian Regularization

A novel fuzzy multi-objective framework to construct optimal prediction intervals for wind power forecast

Locally Linear Embedding algorithm based on OMP for incremental learning

Linear Subspace Learning via sparse dimension reduction

Near-optimal online control of uncertain nonlinear continuous-time systems based on concurrent learning

Control of methylamine removal reactor using neural network based model predictive control

Aggregation of Pi-based forecast to enhance prediction accuracy

On the cooperative observability of a continuous-time linear system on an undirected network

An introduction to complex-valued recurrent correlation neural networks

Data-driven iterative adaptive dynamic programming algorithm for approximate optimal control of unknown nonlinear systems

Robust bilinear matrix recovery by Tensor Low-Rank Representation

A Google approach for computational intelligence in big data

Coordinated pattern tracking of multiple marine surface vehicles with uncertain kinematics and kinetics

Supervised topic regression via experts

Tensor LRR based subspace clustering

A Spiking-based mechanism for self-organizing RBF neural networks

Optimal reduced sets for sparse kernel spectral clustering

Community detection based on local topological information in power grid

Using Chou's amphiphilic Pseudo-Amino Acid Composition and Extreme Learning Machine for prediction of Protein-protein interactions

Optimal design of traffic signal controller using neural networks and fuzzy logic systems

An efficient parallel ISODATA algorithm based on Kepler GPUs

Multivariate time series prediction based on multiple kernel extreme learning machine

Hybrid neural networks for gasoline blending system modeling

Real-time hand gesture recognition with Kinect for playing racing video games

Smartphone battery saving by bit-based hypothesis spaces and local Rademacher Complexities

A genetic algorithm based double layer neural network for solving quadratic bilevel programming problem

Scalarization based Pareto optimal set of arms identification algorithms

Resistant learning on the envelope bulk for identifying anomalous patterns

Reconstructable generalized maximum scatter difference discriminant analysis

GPU implementation of the feedforward neural network with modified Levenberg-Marquardt algorithm

Augmenting the NEAT algorithm to improve its temporal processing capabilities

Forecasting hourly electricity load profile using neural networks

Joint multiple dictionary learning for Tensor sparse coding

Model predictive control of multi-robot formation based on the simplified dual neural network

Neurodynamics-based model predictive control of autonomous underwater vehicles in vertical plane

Impulsive synchronization of coupled switched neural networks with impulsive time window

Mining textual data from primary healthcare records: Automatic identification of patient phenotype cohorts

Detection of filter-like cellular automata spectra

Using EEG artifacts for BCI applications

Performance of combined artificial neural networks for forecasting landslide displacement

The HC calculus, quaternion derivatives and caylay-hamilton form of quaternion adaptive filters and learning systems

Coarse and fine learning in deep networks

Measurement of confusion color pairs for dichromats in order to use applications supporting color vision deficiency

A brain-like multi-hierarchical modular neural network with applications to gas concentration forecasting

Butterfly Communication Strategies: A prospect for soft-computing techniques

Fast ship detection of synthetic aperture radar images via multi-view features and clustering

A new transfer learning Boosting approach based on distribution measure with an application on facial expression recognition

Oscillation analysis of the solutions for a four coupled FHN network model with delays

STDP learning rule based on memristor with STDP property

View-invariant gait recognition via deterministic learning

Max-margin latent feature relational models for entity-attribute networks

Adaptive output feedback control for cooperative dynamic positioning of multiple offshore vessels

Deep learning to classify difference image for image change detection

Medical diagnosis applications using a novel interactively recurrent self-evolving fuzzy CMAC model

Hopfield neural network for seismic velocity picking

Hierarchical organization in neuronal functional networks during working memory tasks

Unsupervised robust Bayesian feature selection

Deep neural networks for Mandarin tone recognition

Music genre classification using On-line Dictionary Learning

Learning using privileged information (LUPI) for modeling survival data

Shrank Support Vector Clustering

Oil spill GF-1 remote sensing image segmentation using an evolutionary feedforward neural network

Ideal Modified Adachi Chaotic Neural Networks and active shape model for infant facial cry detection on still image

Spatio-temporal PM prediction by spatial data aided incremental support vector regression

Semi-supervised non-negative tensor factorisation of modulation spectrograms for monaural speech separation

Multi-view uncorrelated linear discriminant analysis with applications to handwritten digit recognition

A single layer recurrent neural network for pseudoconvex optimization subject to quasiconvex constraints

A review of adaptive feature extraction and classification methods for EEG-based brain-computer interfaces

An adaptive multiclass boosting algorithm for classification

A Kaiman filter-based actor-critic learning approach

Diversity analysis in collaborative clustering

Face recognition through a chaotic neural network model

Magnitude comparison in analog spiking neural assemblies

A review on evolution of Lyapunov-Krasovskii function in stability analysis of recurrent neural networks with single time-varying delay

Adaptive fault-tolerant control for a class of uncertain nonlinear MISO discrete-time systems in triangular forms with actuator failures

Deep process neural network for temporal deep learning

Dynamic boosting in deep learning using reconstruction error

A novel classification method for motor imagery based on Brain-Computer Interface

Attribute weighting: How and when does it work for Bayesian Network Classification

Towards generating random forests via extremely randomized trees

Adaptive control of wind turbine generator system based on RBF-PID neural network

Binocular visual servoing based on PID neural network

Efficient diminished-1 modulo $2^{n}+1$ multiplier architectures

Bio-inspired categorization using event-driven feature extraction and spike-based learning

Animal group behavioral model with Evasion Mechanism

A new learning rule for classification of spatiotemporal spike patterns

Three new ZNN models with economical dimension and exponential convergence for real-time solution of moore-penrose pseudoinverse

A multi-objective ensemble method for online class imbalance learning

3D colour object reconstruction based on Growing Neural Gas

A classifier-based association test for imbalanced data derived from prediction theory

A heuristic to generate initial feasible solutions for the Unit Commitment problem

Trotting gait planning for a quadruped robot with high payload walking on irregular terrain

The stability and bifurcation analysis in high dimensional neural networks with discrete and distributed delays

AORS: Affinity-based outlier ranking score

Power Normalized Cepstral Coefficients based supervectors and i-vectors for small vocabulary speech recognition

Semi-supervised clustering with pairwise and size constraints

Comparison of Distance metrics for hierarchical data in medical databases

Advanced audio spatializer combined with a multipoint equalization system

Improving robot vision models for object detection through interaction

Issues on sampling negative examples for predicting prokaryotic promoters

Singular spectrum analysis for tracking of P300

Exponential synchronization for a class of networked linear parabolic PDE systems via boundary control

The delta test: The 1-NN estimator as a feature selection criterion

Variable selection for regression problems using Gaussian mixture models to estimate mutual information

Does plasticity promote criticality?

Compressing VG-RAM WNN memory for lightweight applications

Confidence factor and feature selection for semi-supervised multi-label classification methods

Applying the self-training semi-supervised learning in hierarchical multi-label methods

Evolutionary features and parameter optimization of spiking neural networks for unsupervised learning

Investigating the impacts of epilepsy on EEG-based person identification systems

Cooperative coevolution of feed forward neural networks for financial time series problem

Multi-factor EEG-based user authentication

Stability of Hopfield neural networks with event-triggered feedbacks

Vessel segmentation in retinal images with a multiple kernel learning based method

Dual instance and attribute weighting for Naive Bayes classification

Restricted Boltzmann machine associative memory

A higher-order fuzzy neural network for modeling financial time series

Superpixel appearance and motion descriptors for action recognition

Approximate planning in POMDPs via MDP heuristic

Decoupling control for five-phase fault-tolerant permanent-magnet motor by using SVM inverse system method

A neural network left-inversion flux estimation for induction motor filed-oriented control

Constraint Online Sequential Extreme Learning Machine for lifelong indoor localization system

The transformer fault diagnosis combing KPCA with PNN

User-generated-video summarization using Sparse Modelling

Classifying web documents using term spectral transforms and Multi-Dimensional Latent Semantic representation

Kernel-based semi-supervised learning for novelty detection

Structured sparse coding method for infrared small target detection in video sequence

Human activity recognition using smart phone embedded sensors: A Linear Dynamical Systems method

Effect of Spectrum Occupancy on the Performance of a Real Valued Neural Networl Based Energy Detector

Robust Support Vector Machine

A Hopfield neural network based algorithm for haplotype assembly from low-quality data

A robust framework for short text categorization based on topic model and integrated classifier

Sampling-based learning control for quantum discrimination and ensemble classification

Semi-supervised local-learning-based feature selection

Applications of probabilistic model based on joystick probability selector

Imputation of missing data supported by Complete p-Partite attribute-based Decision Graphs

Nonlinear responses of an asynchronous cellular automaton model of spiral ganglion cell

Visual saliency via loss coding

Scale Invariant Feature Transform Flow trajectory approach with applications to human action recognition

Stochastic Spiking Neural Networks at the EDGE of CHAOS

Advanced intelligent acoustic interfaces for multichannel audio reproduction

Combining technical trading rules using parallel particle swarm optimization based on Hadoop

An effective criterion for pruning reservoir's connections in Echo State Networks

An interpretable graph-based image classifier

Computational framework based on task and resource scheduling for micro grid design

Computational Intelligence in Smart water and gas grids: An up-to-date overview

A computationally efficient neural dynamics approach to trajectory planning of an intelligent vehicle

An adjustable memristor model and its application in small-world neural networks

An asymmetric stagewise least square loss function for imbalanced classification

Effective identification of a turbogenerator in a SMIB power system using Fuzzy Neural Networks

An optimal real-time pricing for demand-side management: A Stackelberg game and genetic algorithm approach

Time series forecasting via weighted combination of trend and seasonality respectively with linearly declining increments and multiple sine functions

A computationally fast Interval Type-2 Neuro-Fuzzy Inference System and its Meta-Cognitive projection based learning algorithm

Similarity-balanced Discriminant Neighborhood Embedding

Stability of a neutral delay neuron system in the critical case

Differentially private feature selection

Solving unbalanced problems in similarity learning using SVM ensemble

Recognizing slow eye movement for driver fatigue detection with machine learning approach

Distributed control for second-order leader-following multi-agent systems with heterogeneous leader

Finite horizon stochastic optimal control of nonlinear two-player zero-sum games under communication constraint

EEG-based emotion recognition using discriminative graph regularized extreme learning machine

Stability condition for discrete time multi-valued recurrent neural networks in asynchronous update mode

Micro-expression recognition based on local binary patterns from three orthogonal planes and nearest neighbor method

A new stability condition for discrete time recurrent neural networks with complex-valued linear threshold neurons

Further enhancements in WOM algorithm to solve the local minimum and flat-spot problem in feed-forward neural networks

A multiplicative update algorithm for nonnegative convex polyhedral cone learning

Integrating self-organizing neural network and Motivated Learning for coordinated multi-agent reinforcement learning in multi-stage stochastic game

Beating the S&P 500 index — A successful neural network approach

Decision tree assisted EKF for vehicle slip angle estimation using inertial motion sensors

Neural-based adaptive integral sliding mode tracking control for nonlinear interconnected systems

Pinning dynamic complex networks by time-varying controller-vertex set

Traffic sign recognition using a novel permutation-based local image feature

IR remote sensing image registration based on multi-scale feature extraction

Robust doublet STDP in a floating-gate synapse

Hidden Markov models based dynamic hand gesture recognition with incremental learning method

Learning rates of neural network estimators via the new FNNs operators

Parallel tempering with equi-energy moves for training of restricted boltzmann machines

Image encryption based on compressed sensing and blind source separation

Motor imagery classification for brain-computer interfaces through a chaotic neural network

A novel adaptive weight selection algorithm for multi-objective multi-agent reinforcement learning

Using HDDT to avoid instances propagation in unbalanced and evolving data streams

A binary feature selection framework in kernel spaces

A modular neural network architecture that selects a different set of features per module

Spectral clustering-based local and global structure preservation for feature selection

EOG-based drowsiness detection using convolutional neural networks

Extracting nonlinear correlation for the classification of single-trial EEG in a finger movement task

Adaptive self-constructing radial-basis-function neural control for MIMO uncertain nonlinear systems with unknown disturbances

Vessel maneuvering model identification using multi-output dynamic radial-basis-function networks

A nonlinear model of fMRI BOLD signal including the trend component

Intelligent Facial Action and emotion recognition for humanoid robots

New method on the complete stability of delayed cellular neural networks

Using self-organizing incremental neural network (SOINN) For radial basis function networks

Extending dynamic SOMs to capture incremental changes in data

Stock volatility prediction using multi-kernel learning based extreme learning machine

Data driven modeling for UGI gasification process via a variable structure genetic BP neural network

A kernel k-means clustering algorithm based on an adaptive Mahalanobis kernel

Support vector machine with SOM-based quasi-linear kernel for nonlinear classification

Classification with rejection based on various SVM techniques

Plant recognition based on intersecting cortical model

Off-line handwritten Thai name recognition for student identification in an automated assessment system

Long-term learning behavior in a recurrent neural network for sound recognition

Insights on prediction of patients' response to anti-HIV therapies through machine learning

Scene image classification using a wigner-based Local Binary Patterns descriptor

Feature extraction in X-ray images for hazelnuts classification

How might the brain represent complex symbolic knowledge?

Statistical approach for reconstruction of dynamic brain dipoles based on EEG data

Neural approach for bearing fault classification in induction motors by using motor current and voltage

An analysis based on F-discrepancy for sampling in regression tree learning

A Monte Carlo strategy for structured multiple-step-ahead time series prediction

Learning from combination of data chunks for multi-class imbalanced data

Fault recognition in smart grids by a one-class classification approach

Audio onset detection: A wavelet packet based approach with recurrent neural networks

Residential energy system control and management using a Hill-climbing heuristic method

Universal approximation propriety of Flexible Beta Basis Function Neural Tree

PVis — Partitions' visualizer: Extracting knowledge by visualizing a collection of partitions

Spike-timing dependent morphological learning for a neuron with nonlinear active dendrites

Neural signal analysis by landmark-based spectral clustering with estimated number of clusters

Image factorization and feature fusion for enhancing robot vision in human face recognition

Linear regression for head pose analysis

A study on asynchronous system in P300 speller based on user's intention of input

A new multi-task learning based Wi-Fi location approach using L-norm

Distributed LQR design for multi-agent systems on directed graph topologies

On optimal wavelet bases for classification of skin lesion images through ensemble learning

Reservoir Computing optimization with a hybrid method

Forecasting time series — A layered ensemble architecture

Fault diagnosis of five-phase fault-tolerant permanent-magnet motor based on principal component neural network

A combined model for scan path in pedestrian searching

Gain parameters based complex-valued backpropagation algorithm for learning and recognizing hand gestures

Spatial filter adaptation based on geodesic-distance for motor EEG classification

Phase offset between slow oscillatory cortical inputs influences competition in a model of the basal ganglia

Tension identification of two-motor system based on neural network left-inverse

Hardware implementation of KLMS algorithm using FPGA

Border ownership in a nano-neuromorphic circuit using nonlinear dendritic computations

MofN rule extraction from neural networks trained with augmented discretized input

Sideslip angle soft-sensor based on neural network left inversion for multi-wheel independently driven electric vehicles

Extension of similarity measures in VSM: From orthogonal coordinate system to affine coordinate system

Dynamie neural networks for jet engine degradation prediction and prognosis

Ultra-short-pulse acoustic imaging using complex-valued spatio-temporal neural-network for null-steering: Experimental results

Finite convergence of the learning algorithms for a modified multi-valued neuron

A hierarchical learning approach to calibrate allele frequencies for SNP based genotyping of DNA pools

Learning to interact and interacting to learn: Active statistical learning in human-robot interaction

Finding convex hull vertices in metric space

Estimation of individual prediction reliability using error analysis applied to short-term load forecasting problem

WWN: Integration with coarse-to-fine, supervised and reinforcement learning

Two-factor user authentication with the CogRAM weightless neural net

A Transductive Support Vector Machine with adjustable quasi-linear kernel for semi-supervised data classification

Estuarine flood modelling using artificial neural networks

Application of fuzzy systems in the control of a shunt active power filter with four-leg topology

From low negative correlation learning to high negative correlation learning

Optimizing configuration of neural ensemble network for breast cancer diagnosis

Speaker verification with deep features

Improved predictive personalized modelling with the use of Spiking Neural Network system and a case study on stroke occurrences data

Robust structure selection of radial basis function networks for nonlinear system identification

Self-learning PD algorithms based on approximate dynamic programming for robot motion planning

An improved extreme learning machine with adaptive growth of hidden nodes based on particle swarm optimization

Recognizing cross-lingual textual entailment with co-training using similarity and difference views

Learning the deterministically constructed Echo State Networks

Near optimal event-based control of nonlinear discrete time systems in affine form with measured input and output data

EEG energy analysis for evaluating consciousness level using dynamic MEMD

$NeuCube^{(ST)}$ for spatio-temporal data predictive modelling with a case study on ecological data

Fast Support Vector Data Description training using edge detection on large datasets

Highly sensitive weak signal acquisition method for GPS/compass

A half-split grid clustering algorithm by simulating cell division

Mining user tasks from print logs

Adaptive backstepping-based nonlinear disturbance observer for fin stabilizer system

Improving machine vision via incorporating expectation-maximization into Deep Spatio-Temporal learning

Stochastic gradient based iterative identification algorithm for a class of dual-rate Wiener systems

Wiener model identification of blast furnace ironmaking process based on Laguerre filter and linear programming support vector regression

Multi-agent evolutionary design of Flexible Beta Basis Function Neural Tree

Smart bandwidth management using a recurrent Neuro-Evolutionary technique

Using recurrent networks for non-temporal classification tasks

Learning features from High Speed Train vibration signals with Deep Belief Networks

A neural network and SOM based approach to analyse periodic signals: Application to Oyster heart-rate data

Bayesian network scores based text localization in scene images

Multi-objectivization of reinforcement learning problems by reward shaping

Approximate model-assisted Neural Fitted Q-Iteration

Similarity Michaelis-Menten law pre-processing descriptor for face recognition

Low-rank representation based action recognition

EEG-based driving fatigue prediction system using functional-link-based fuzzy neural network

A novel algorithm for mining behavioral patterns from wireless sensor networks

Policy gradient approaches for multi-objective sequential decision making

Single image super-resolution via learned representative features and sparse manifold embedding

Implementation of memristive neural networks with spike-rate-dependent plasticity synapses

Inconsistent sensor data detection/correction: Application to environmental systems

Parallelized neural networks as a service

Exploiting homophily-based implicit social network to improve recommendation performance

Facial expression recognition under random block occlusion based on maximum likelihood estimation sparse representation

Prediction interval estimation for electricity price and demand using support vector machines

Dependent stotchastic blockmodels

Non-singular Terminal sliding mode control for landing on asteroids based on RBF neural network

Splitted neural networks for better performance of antenna optimization

Optimising traffic lights with metaheuristics: Reduction of car emissions and consumption

Automatic forest species recognition based on multiple feature sets

Trimmed affine projection algorithms

Local binary pattern based facial expression recognition using Self-organizing Map

Multi-objective χ-Armed bandits

Facial expressions recognition system using Bayesian inference

Evolving Connectionist Systems can predict outbreaks of the aphid Rhopalosiphum padi

Online learning control based on projected gradient temporal difference and advanced heuristic dynamic programming

Learning features with structure-adapting multi-view exponential family harmoniums

Lattice sampling for efficient learning with Nadaraya-Watson local models

A factor — Artificial neural network model for time series forecasting: The case of South Africa

Augmented Neural Networks for modelling consumer indebtness

Constrained Extreme Learning Machine: A novel highly discriminative random feedforward neural network

Alzheimer's disease classification based on gait information

An implementation of the path integrator mechanism of head direction cells for bio-mimetic navigation

Causality traces for retrospective learning in neural networks — Introduction of parallel and subjective time scales

Reproduction of forward and backward propagations on dendrites by multi-compartment asynchronous cell automaton neuron

Majority neuron circuit having large fan-in with non-volatile synaptic weight

An identifying function approach for determining structural identifiability of parameter learning machines

Integrating bi-directional contexts in a generative kernel for trees

Causality from Cz to C3/C4 or between C3 and C4 revealed by granger causality and new causality during motor imagery

Learning in dynamic decision making: The usability process

Wind power forecasting — An application of machine learning in renewable energy

A real-time driver identification system based on artificial neural networks and cepstral analysis

Coupled fuzzy k-nearest neighbors classification of imbalanced non-IID categorical data

Impact of ratio k on two-layer neural networks with dynamic optimal learning rate

A sequential learning algorithm for a Minimal Spiking Neural Network (MSNN) classifier

Interpolating Deep Spatio-Temporal Inference Network features for image classification

Accelerating pattern matching in neuromorphic text recognition system using Intel Xeon Phi coprocessor

Outdoor scene understanding using SEVI-BOVW model

A legged central pattern generation model for autonomous gait transition

Specific humidity forecasting using recurrent Neural Network

Global exponential stability of delayed Hopfield neural network on time scale

Hybrid classification with partial models

Imbalanced pattern recognition: Concepts and evaluations

Explore to see, learn to perceive, get the actions for free: SKILLABILITY

Improved modeling of pneumatic muscle actuator using recurrent neural network

Hybrid model analysis and validation for PV energy production forecasting

Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system

Applying Neural-Symbolic Cognitive Agents in Intelligent Transport Systems to reduce CO emissions

The performance of a Recurrent HONN for temperature time series prediction

An algorithm for real-time object tracking in complex environment

Multi-agent systems applied to topological reconfiguration of smart power distribution systems

RNN and SOM based classifier to recognize assamese fricative sounds designed using frame based temporal feature sets

An algorithmic framework based on the binarization approach for supervised and semi-supervised multiclass problems

An approach to exploit non-optimized data for efficient control of unknown systems through neural and kernel models

The iCub learns numbers: An embodied cognition study

The generative Adaptive Subspace Self-Organizing Map

Robust prediction in nearly periodic time series using motifs

A hybrid coupled k-nearest neighbor algorithm on imbalance data

Application of neural networks to evaluate experimental data of galvanic zincing

A new fuzzy shape context approach based on multi-clue and state reservoir computing

From here to AGI: A roadmap to the realization of human-level artificial general intelligence

Calibration-less detection of steady-state visual evoked potentials-comparisons and combinations of methods

Sharing information on extended reachability goals over propositionally constrained multi-agent state spaces

Self-learning recursive neural networks for structured data classification

The Parzen kernel approach to learning in non-stationary environment

A novel application of Hoeffding's inequality to decision trees construction for data streams

Efficacy of memristive crossbars for neuromorphic processors

SVD truncation schemes for fixed-size kernel models

Exploring the performance of non-negative multi-way factorization for household electrical seasonal consumption disaggregation

New untrained aggregation methods for classifier combination

A consensus-based semi-supervised growing neural gas

Support Vector Regression of multiple predictive models of downward short-wave radiation

Bio-inspired architecture for a reactive-deliberative robot controller

Transfer learning emotion manifestation across music and speech

Content-based image retrieval by dictionary of local feature descriptors

Iris liveness detection methods in the mobile biometrics scenario

Multivariate multi-scale Gaussian for microarray unsupervised classification

Detection of non-structural outliers for microarray experiments

An empirical analysis of ensemble systems in cancellable behavioural biometrics: A touch screen dataset

NEVE++: A neuro-evolutionary unlimited ensemble for adaptive learning

Kernel canonical variate analysis based management system for monitoring and diagnosing smart homes

Signature identification via efficient feature selection and GPU-based SVM classifier

Improved keyword spotting system by optimizing posterior confidence measure vector using feed-forward neural network

Large scale semi-supervised learning using KSC based model

LOGAN's Run: Lane optimisation using genetic algorithms based on NSGA-II

Agglomerative clustering of defects in ultrasonic non-destructive testing using hierarchical mixtures of independent component analyzers

Heuristically enhanced dynamic neural networks for structurally improving photovoltaic power forecasting

3D maps representation using GNG

Frequency control using on-line learning method for island smart grid with EVs and PVs

Predictive Hebbian association of time-delayed inputs with actions in a developmental robot platform

Neural network approach to hoist deceleration control

A bio-inspired approach modeling spiking neural networks of visual cortex for human action recognition

A novel intelligent system for speech recognition

Study of Learning Entropy for Novelty Detection in lung tumor motion prediction for target tracking radiation therapy

A neural network based approach to support the Market Making strategies in High-Frequency Trading

A supervised approach to electric tower detection and classification for power line inspection

Optimising the overall power usage on the SpiNNaker neuromimetic platform

A simulation based approach to forecast a demand load curve for a container terminal using battery powered vehicles

Neural-network-based optimal control for a class of complex-valued nonlinear systems with input saturation

Decoding motor cortical activities of Monkey: A dataset

Anomaly detection based on indicators aggregation

Learning optimization for decision tree classification of non-categorical data with information gain impurity criterion

Improved training of cellular SRN using Unscented Kalman Filtering for ADP

Fuzzy power management for environmental monitoring systems in tropical regions

A fast learning variable lambda TD model: Used to realize home aware robot navigation

A new ensemble method for multi-label data stream classification in non-stationary environment

Signature of an anticipatory response in area VI as modeled by a probabilistic model and a spiking neural network

The stapedius reflex: Processing its neuronal activity with a small embedded system

Intelligent visual servoing for nonholonomic mobile robots

Predicting temporal sequences using an event-based spiking neural network incorporating learnable delays

Completed hybrid local binary pattern for texture classification

Sets with incomplete and missing data — NN radar signal classification

Enhancing MOPSO through the guidance of ANNs

Applying computational intelligence methods to modeling and predicting common bean germination rates

Home energy management benefits evaluation through fuzzy logic consumptions simulator

Retinal blood vessel segmentation using bee colony optimisation and pattern search

The learning of neuro-fuzzy approximator with fuzzy rough sets in case of missing features

Hierarchical Linear Dynamical Systems: A new model for clustering of time series

Neural control for a solid waste incinerator

Exploiting self-similarity for change detection

Mixture modeling and inference for recognition of multiple recurring unknown patterns

A computationally efficient complete area coverage algorithm for intelligent mobile robot navigation

Shoreline extraction from the fusion of LiDAR DEM data and aerial images using mutual information and genetic algrithms

Pitch estimation using non-negative matrix factorization

Policy iteration approximate dynamic programming using Volterra series based actor

A new investment strategy based on data mining and Neural Networks

Max-dependence regression

On the dynamics of the high-order type of neural networks with time varying coefficients and mixed delay

Online adaptation of controller parameters based on approximate dynamic programming

An autonomous trader agent for the stock market based on online sequential extreme learning machine ensemble

Reactive power control of DFIG wind farm using online supplementary learning controller based on approximate dynamic programming

Nonnegative Shifted Tensor Factorization in time frequency domain

Modeling of vertical mill raw meal grinding process and optimal setting of operating parameters based on wavelet neural network

Sliding window-based analysis of multiple foreign exchange trading systems by using soft computing techniques

An intelligent analysis and prediction model for on-demand cloud computing systems

Efficient implementation of STDP rules on SpiNNaker neuromorphic hardware

Dual Deep Neural Network approach to matching data in different modes

Algorithmic trading behavior identification using reward learning method

A hierarchical classification algorithm for evaluating energy consumption behaviors

Phase cone detection optimization in EEG data

Dynamic modeling of an ostraciiform robotic fish based on angle of attack theory

Application of artificial neural network and multiple linear regression models for predicting survival time of patients with non-small cell cancer using multiple prognostic factors including FDG-PET measurements

A predictive model for recognizing human behaviour based on trajectory representation

An ordinal kernel trick for a computationally efficient support vector machine

Programming a VG-RAM based Neural Network Computer

Posture classification of lying down human bodies based on pressure sensors array

Optimal detection of new classes of faults by an Invasive Weed Optimization method

Image-based global localization using VG-RAM Weightless Neural Networks

Kernel robust mixed-norm adaptive filtering

A new distance metric for unsupervised learning of categorical data

DL-PRO: A novel deep learning method for protein model quality assessment

Mimicking the worm — An adaptive spiking neural circuit for contour tracking inspired by C. Elegans thermotaxis

Enabling back propagation training of memristor crossbar neuromorphic processors

Longitudinal control of hypersonic vehicles based on direct heuristic dynamic programming using ANFIS

Structural representation and reasoning in a hybrid cognitive architecture

A neural model of mentalization/mindfulness based psychotherapy

Random forest based adaptive non-intrusive load identification

Forecasting electricity consumption in South Africa: ARMA, neural networks and neuro-fuzzy systems

Artificial neural network based gait patterns identification using neuromuscular signals and soft tissue deformation analysis of lower limbs muscles

A developmental perspective on humanoid skill learning using a hierarchical SOM-based encoding

Developing a few-channel hybrid BCI system by using motor imagery with SSVEP assist

Incremental face recognition using rehearsal and recall processes

Computation of deep belief networks using special-purpose hardware architecture

PROPRE: PROjection and PREdiction for multimodal correlations learning. An application to pedestrians visual data discrimination

Investigation of Multi-Layer Perceptron with pulse glial chain based on individual inactivity period

A study on word-level multi-script identification from video frames

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User daily activity pattern learning: A multi-memory modeling approach

Domain adaptation bounds for multiple expert systems under concept drift

Visualization and pattern discovery of social interactions and repost propagation in Sina Weibo

Ensemble learning for keyword extraction from event descriptions

Application of genetic algorithms to neural networks based control of a liquid level tank system

Design of the first neuronal connectomics challenge: From imaging to connectivity

Soft-constrained nonnegative matrix factorization via normalization

Analog memristive time dependent learning using discrete nanoscale RRAM devices

Mobile humanoid agent with mood awareness for elderly care

Core support extraction for learning from initially labeled nonstationary environments using COMPOSE

Extracting temporal knowledge from time series: A case study in ecological data

Latency-based probabilistic information processing in a learning feedback hierarchy

Solar radiation forecasting under asymmetric cost functions

Large scale parameter estimation for nonlinear dynamic systems: Application on spike-in, spike-out neural models

Planning-driven behavior selection network for controlling a humanoid robot

Structure-from-Motion reconstruction based on weighted Hamming descriptors

Optimal Bayesian classification in nonstationary streaming environments

Scaling-up action learning neuro-controllers with GPUs

Efficient class incremental learning for multi-label classification of evolving data streams

Probabilistic point set matching with Gaussian mixture model

Box-constrained projective nonnegative matrix factorization via augmented Lagrangian method

EEG analysis for cognitive failure detection in driving using neuro-evolutionary synergism

Selection of weighing functions in H controller design using PBIL

Intrusion detection using a cascade of boosted classifiers (CBC)

Retinal vessel segmentation based on possibilistic fuzzy c-means clustering optimised with cuckoo search

Training high-dimensional neural networks with cooperative particle swarm optimiser

Opinion retrieval through unsupervised topological learning

Multi-objective optimization of a hybrid model for network traffic classification by combining machine learning techniques

Feasibility of NeuCube SNN architecture for detecting motor execution and motor intention for use in BCIapplications

High-fidelity compression of extracellular recordings from motor cortex

Architectural distortion detection from mammograms using support vector machine

Detection of signaling pathways in human brain during arousal of specific emotion

A fast Incremental Kernel Principal Component Analysis for data streams

A survey of distance/similarity measures for categorical data

Vibrate Synchronize Function neural network model — Its backgrounds

Recognition of sintering state in rotary kiln using a robust extreme learning machine

Chunks of thought: Finding salient semantic structures in texts

Learning motion-difference features using Gaussian restricted Boltzmann machines for efficient human action recognition

EEG based artificial learning of motor coordination for visually inspired task using neural networks

Qualitative approach for inverse kinematic modeling of a Compact Bionic Handling Assistant trunk

Color image processing based on Nonnegative Matrix Factorization with Convolutional Neural Network

Automatic cluster labeling through Artificial Neural Networks

An Investigation of the environmental sustainability index in terms of its prediction and clustering capabilities

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A recurrent neural network for real time electrical microgrid prototype optimization

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Clustering of the self-organizing map using particle swarm optimization and validity indices

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Ensembles of evolutionary Extreme Learning Machines through differential evolution and Fitness Sharing

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Bottom-up model of visual saliency: A viewpoint based on efficient coding hypothesis

WWN-9: Cross-domain synaptic maintenance and its application to object groups recognition

Neural Networks for Runtime Verification

Clustering and synchronous firing of coupled Rulkov maps with STDP for modeling epilepsy

A practical SIM learning formulation with margin capacity control

Bio-inspired probabilistic model for crowd emotion detection

Continuous variables segmentation and reordering for optimal performance on binary classification tasks

Cognitive memory systems in consciousness and memory model

Compressive Direction-of-Arrival Estimation via Regularized Multiple Measurement FOCUSS algorithm

On the relationships between social structures and acquired knowledge in societies

Improving the genetic-algorithm-optimized wavelet neural network for stock market prediction

Personalized sensing towards building energy efficiency and thermal comfort

Intelligent Trip Modeling on Ramps using ramp classification and knowledge base

LASOM: Location Aware Self-Organizing Map for discovering similar and unique visual features of geographical locations

A new unsupervised approach to fault detection and identification

An optimal software maintenance policy based on reliability and risk

Quantized mixture kernel least mean square

A distributed virtual sensor scheme for smart buildings based on adaptive approximation

Contamination event detection in drinking water systems using a real-time learning approach

Evaluation of active position detection in Vehicular Ad Hoc Networks

Table of contents

The 2013 International Joint Conference on Neural Networks (IJCNN)

The 2012 International Joint Conference on Neural Networks (IJCNN)

The 2011 International Joint Conference on Neural Networks

The 2010 International Joint Conference on Neural Networks (IJCNN)

2009 International Joint Conference on Neural Networks

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)

2007 International Joint Conference on Neural Networks

The 2006 IEEE International Joint Conference on Neural Network Proceedings

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.

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Proceedings of the International Joint Conference on Neural Networks, 2003.

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)

IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)

1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227)

Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)

Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan)

[Proceedings 1992] IJCNN International Joint Conference on Neural Networks

[Proceedings] 1991 IEEE International Joint Conference on Neural Networks

IJCNN-91-Seattle International Joint Conference on Neural Networks

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Convolutional deep belief networks for feature extraction of EEG signal

Content Provider	IEEE Xplore Digital Library
Author	Yuanfang Ren Yan Wu
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci. & Technol., Tongji Univ., Shanghai, China (Yuanfang Ren; Yan Wu)
Abstract	In recent years, deep learning approaches have been successfully used to learn hierarchical representations of image data, audio data etc. However, to our knowledge, these deep learning approaches have not been extensively studied for electroencephalographic (EEG) data. Considering the properties of EEG data, high-dimensional and multichannel, we applied convolutional deep belief networks to the feature learning of EEG data and evaluated it on the datasets from previous BCI competitions. Compared with other state-of-the-art feature extraction methods, the learned features using convolutional deep belief network have better performance.
Starting Page	2850
Ending Page	2853
File Size	3360433
Page Count	4
File Format	PDF
ISSN	21614407
e-ISBN	9781479914845
DOI	10.1109/IJCNN.2014.6889383
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electroencephalography Feature extraction Training Convolution Probabilistic logic Convolutional codes Accuracy feature learning deep learning EEG convolutional deep belief networks
Content Type	Text
Resource Type	Article

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