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2015 International Joint Conference on Neural Networks (IJCNN)

2014 International Joint Conference on Neural Networks (IJCNN)

The 2013 International Joint Conference on Neural Networks (IJCNN)

Approximate dynamic programming solutions of multi-agent graphical games using actor-critic network structures

Behavioral economics and neuroeconomics: Cooperation, competition, preference, and decision making

John Gerald Taylor: Comrade, polymath, and consummate neuroscientist — Reminiscences of life together under the Aegis of INNS

John Taylor, learning, attention, and consciousness

The race to new mathematics of brains and consciousness — A tribute to John G. Taylor

Cognitive models of the perception-action cycle: A view from the brain

In search of the brain's executive

Toward a cooperative brain: Continuing the work with John Taylor

Cognitive computation: A case study in cognitive control of autonomous systems and some future directions

On the interplay between “learning, memory, prospection and abstraction” in cumulatively learning baby humanoids

Bubbles in the robot

Point cloud data filtering and downsampling using growing neural gas

A semi-parametric approach for football video annotation

Alignment-based transfer learning for robot models

Novelty estimation in developmental networks: Acetylcholine and norepinephrine

Learning topological image transforms using cellular simultaneous recurrent networks

Human behaviour recognition based on trajectory analysis using neural networks

An incremental self-organizing neural network based on enhanced competitive Hebbian learning

Clustering the self-organizing map through the identification of core neuron regions

Hierarchical SOM-based detection of novel behavior for 3D human tracking

Clustering iOS executable using self-organizing maps

Batch self-organizing maps for mixed feature-type symbolic data

Modified self-organizing mixture network for probability density estimation and classification

Meta-cognitive q-Gaussian RBF network for binary classification: Application to mild cognitive impairment (MCI)

Classificability-regulated self-organizing map using restricted RBF

A scalable and dynamic self-organizing map for clustering large volumes of text data

Improvement of a neural-fuzzy motion detection vision model for complex scenario conditions

Neuro-fuzzy control strategy for methane production in an anaerobic process

Time series prediction using ensembles of neuro-fuzzy models with interval type-2 and type-1 fuzzy integrators

Self-organizing retinotopic maps applied to background modeling for dynamic object segmentation in video sequences

A class of interval type-2 fuzzy neural networks illustrated with application to non-linear identification

Neuro-fuzzy fitness in a genetic algorithm for optimal fuzzy controller design

Crogging (cross-validation aggregation) for forecasting — A novel algorithm of neural network ensembles on time series subsamples

Analysis of a Gaussian process and feed-forward neural networks based filter for forecasting short rainfall time series

Multivariate k-nearest neighbour regression for time series data — A novel algorithm for forecasting UK electricity demand

An SVM-based approach for stock market trend prediction

Volatility analysis via coupled Wishart process

Predictive modeling for default risk using a multilayered feedforward neural network with Bayesian regularization

Cognitive computing systems: Algorithms and applications for networks of neurosynaptic cores

Computer-aided music composition with LSTM neural network and chaotic inspiration

Unsupervised multimodal feature learning for semantic image segmentation

Sparse maximum entropy deep belief nets

A guided autowave PCNN for improved real time path planning

Evolutionary extreme learning machine based on particle swarm optimization and clustering strategies

A perception evolution network for unsupervised fast incremental learning

Weighted entropy cortical algorithms for isolated Arabic speech recognition

Neural network based finite horizon stochastic optimal controller design for nonlinear networked control systems

Solutions to finite horizon cost problems using actor-critic reinforcement learning

Learning population of spiking neural networks with perturbation of conductances

Unsupervised feature selection for proportional data clustering via expectation propagation

Robust EM algorithm for model-based curve clustering

Autonomous reinforcement learning with hierarchical REPS

Multilevel adaptive neural network architecture for implementing single-chip intelligent agents on FPGAs

Model ensemble for an effective on-line reconstruction of missing data in sensor networks

Application of dynamic neural networks with exogenous input to industrial conditional monitoring

Aircraft sensor estimation for fault tolerant flight control system using fully connected cascade neural network

WSN-ANN: Parallel and distributed neurocomputing with wireless sensor networks

Biologically inspired distributed sensor networks: Collective signal amplification via ultra-low bandwidth spike-based communication

Self-learning and neural network adaptation by embedded collaborative learning engine (eCLE) — An overview

Multi-pattern cross training: An ANN model training method using WSN sensor data

Concept drift detection for online class imbalance learning

Scalable, incremental learning with MapReduce parallelization for cell detection in high-resolution 3D microscopy data

Incremental learning of new classes from unbalanced data

A robust incremental principal component analysis for feature extraction from stream data with missing values

Periodic activation functions in memristor-based analog neural networks

Memristor SPICE model and crossbar simulation based on devices with nanosecond switching time

Cognitive clustering algorithm for efficient cybersecurity applications

Routing bandwidth model for feed forward neural networks on multicore neuromorphic architectures

Memristor-based synapse design and a case study in reconfigurable systems

Autism spectrum disorder detection using projection based learning meta-cognitive RBF network

Incremental learning using self-organizing neural grove

An importance weighted projection method for incremental learning under unstationary environments

Incremental learning from several different microarrays

Quantum neural network based surface EMG signal filtering for control of robotic hand

IC chip of pulse-type hardware neural networks for hexapod walking MEMS micro robot

How can a robot evaluate its own behavior? A neural model for self-assessment

Robot coverage control by evolved neuromodulation

Real-time decentralized inverse optimal neural control for a Shrimp robot

Discrete time neural control of a nonholonomic mobile robot integrating stereo vision feedback

Unified losses for multi-modal pose coding and regression

A neurocomputing model for ganglion cell's color opponency mechanism and its application in image analysis

Audio-visual fuzzy fusion for robust speech recognition

A spiking thalamus model for form and motion processing of images

A biologically inspired recurrent neural network for sound source recognition incorporating auditory attention

Multi-sensory integration using sparse spatio-temporal encoding

Information theoretic analysis of energy efficient neurons with biologically plausible constraints

Integrated information for large complex networks

Creation of spiking neuron models applied in pattern recognition problems

Overcoming the local-minimum problem in training multilayer perceptrons by gradual deconvexification

Robust human action recognition via long short-term memory

Active selection of training instances for a random forest meta-learner

Ordinal-based metric learning for learning using privileged information

A pixel-level, intensity-based nonlinear autoregressive classifier (NARX) with chromatic exogenous input for efficient image background subtraction

Iterative learning of Fisher linear discriminants for handwritten digit recognition

Function learning with local linear regression models: An analysis based on discrepancy

A hierarchical method for traffic sign classification with support vector machines

Heteroscedastic Gaussian based correction term for fisher discriminant analysis and its kernel extension

Training the feedforward neural network using unconscious search

Using confidence values in multi-label classification problems with semi-supervised learning

Detection of traffic signs in real-world images: The German traffic sign detection benchmark

A traffic sign detection pipeline based on interest region extraction

Traffic sign detection with VG-RAM weightless neural networks

Traffic sign detection by ROI extraction and histogram features-based recognition

Traffic sign detection based on convolutional neural networks

A robust, coarse-to-fine traffic sign detection method

Biologically plausible feature selection through relative correlation

Massively parallel learning of Bayesian networks with MapReduce for factor relationship analysis

Active learning of causal Bayesian networks using ontologies: A case study

SAXO: An optimized data-driven symbolic representation of time series

Effective utilization of data in inductive conformal prediction using ensembles of neural networks

Artificial immune system for attribute weighted Naive Bayes classification

Artificial neural networks for spatial perception: Towards visual object localisation in humanoid robots

Application of the visuo-oculomotor transformation to ballistic and visually-guided eye movements

Population coding for a reward-modulated Hebbian learning of vergence control

Cluster oriented ensemble classifiers using multi-objective evolutionary algorithm

A new approach to three ensemble neural network rule extraction using recursive-rule extraction algorithm

Using ensembles for adaptive learning: A comparative approach

Feature extraction based on hierarchical growing neural gas for informationally structured space

Incremental on-line learning of human motion using Gaussian adaptive resonance hidden Markov model

Assistance of knee movements using an actuated orthosis through subject's intention based on MLPNN approximators

Neuromorphic learning towards nano second precision

Analogical mapping and inference with binary spatter codes and sparse distributed memory

A fast analogue K-winners-take-all neural circuit

Gaussian-Bernoulli deep Boltzmann machine

Convergence of a neural network for sparse approximation using the nonsmooth Łojasiewicz inequality

The simultaneous coding of heading and path in primate MSTd

Neurodynamic optimization approaches to robust pole assignment based on alternative robustness measures

Recurrent neural networks with fixed time convergence for linear and quadratic programming

A prior-free encode-decode change detection test to inspect datastreams for concept drift

Extracting discriminative features for identifying abnormal sequences in one-class mode

Combining pattern sequence similarity with neural networks for forecasting electricity demand time series

Prediction intervals for electricity load forecasting using neural networks

Forecasting models of wind power in Northeastern of Brazil

Hidden Markov models with graph densities for action recognition

A modified error-correction learning rule for multilayer neural network with multi-valued neurons

Self-organizing maps with a single neuron

Complex-valued bidirectional auto-associative memory

Chaotic complex-valued multidirectional associative memory with adaptive scaling factor

Investigation of complex dynamics in a recurrent neural network with network community structure and asymmetric weight matrix

Capacity limits in oscillatory networks: Implications for sensory coding

Stereo where-what networks: Unsupervised binocular feature learning

A topographical nonnegative matrix factorization algorithm

Soft kernel spectral clustering

Brain-inspired self-organizing model for incremental learning

Interval data clustering using self-organizing maps based on adaptive Mahalanobis distances

Coupled term-term relation analysis for document clustering

A fast proximal method for convolutional sparse coding

A new bi-clustering approach using topological maps

Non-negative sparse coding for motion extraction

Vigilance adaptation in adaptive resonance theory

Kernel spectral clustering for dynamic data using multiple kernel learning

Robust non-negative matrix factorization via joint sparse and graph regularization

Multidimensional splines with infinite number of knots as SVM kernels

Improving multi-label classification performance by label constraints

Kernel-based distance metric learning in the output space

Speaker recognition based on SOINN and incremental learning Gaussian mixture model

Fixed-size Pegasos for hinge and pinball loss SVM

Analysis on extended kernel recursive least squares algorithm

Survival kernel with application to kernel adaptive filtering

Mixture kernel least mean square

A support vector machine classifier from a bit-constrained, sparse and localized hypothesis space

SVM classification of epileptic EEG recordings through multiscale permutation entropy

Rejection based support vector machines for financial time series forecasting

Closed-form projection operator wavelet kernels in support vector learning for nonlinear dynamical systems identification

A spatial selective visual attention pattern recognition method based on joint short SSVEP

A study on visual attention modeling — A linear regression method based on EEG

Olfaction recognition by EEG analysis using differential evolution induced Hopfield neural net

Spatial alignment of scalp EEG activity during cognitive tasks

A multi-resolution-concentration based feature construction approach for spam filtering

Autonomous reinforcement of behavioral sequences in neural dynamics

A new hybrid swarm optimization algorithm for power system vulnerability analysis and sensor network deployment

Tactical task allocation and resource management in non-stationary swarm dynamics

An application of quantum-inspired particle swarm optimization to function optimization problems

Achieving CO emission targets for energy consumption at Canadian manufacturing and beyond; using hybrid optimization model

A spiking network for spatial memory formation: Towards a fly-inspired ellipsoid body model

A spiking network for body size learning inspired by the fruit fly

A study of transformation-invariances of deep belief networks

Neural architecture for complex scene recognition based on rank-order features of IT neurons

Neural and statistical processing of spatial cues for sound source localisation

A location-independent direct link neuromorphic interface

Detection of spatiotemporal phase patterns in ECoG using adaptive mixture models

A general aggregate model for improving multi-class brain-computer interface systems' performance

The effect of methods addressing the class imbalance problem on P300 detection

A hierarchical organized memory model using spiking neurons

The use of optical and sonar images in the human and dolphin brain for image classification

Integrating developmental and conventional Markov decision processes: An application to robotic navigation

Neural Hopfield-ensemble for multi-class head pose detection

The added value of gating in evolved neurocontrollers

Dynamic learning algorithm of multi-layer perceptrons for letter recognition

A computational model for motor learning in insects

Exogenous control and dynamical reduction of echo state networks

The spectral radius remains a valid indicator of the Echo state property for large reservoirs

Dynamics of Hodgkin and Huxley model with conductance based synaptic input

A computational model of perirhinal cortex: Gating and repair of input to the hippocampus

A hierarchical model of synergistic motor control

Is cognitive dissonance compatible with human evolution?

Neuromodulation based control of an autonomous robot

Modeling the effects of neuromodulation on internal brain areas: Serotonin and dopamine

Active learning in nonstationary environments

Incremental decision tree based on order statistics

Active learning in the real-world design and analysis of the Nomao challenge

Improving drug discovery using a neural networks based parallel scoring function

Active testing for SVM parameter selection

Unsupervised collaborative boosting of clustering: An unifying framework for multi-view clustering, multiple consensus clusterings and alternative clustering

On the role of shape prototypes in hierarchical models of vision

Solving the local minimum and flat-spot problem by modifying wrong outputs for feed-forward neural networks

Partially affine invariant training using dense transform matrices

Neural decision directed segmentation of silicon defects

Déjà Vu object localization using IRF neural networks properties

Continuous neural identifier for uncertain nonlinear systems with time delays in the input signal

Restricted Boltzmann machines for pre-training deep Gaussian networks

Minimizing validation error with respect to network size and number of training epochs

Multi-scale pyramidal pooling network for generic steel defect classification

Investigation of four-layer multi-layer perceptron with glia connections of hidden-layer neurons

Fast parking control of mobile robot based on multi-layer neural network on homogeneous architecture

A computationally efficient associative memory model of hippocampus CA3 by spiking neurons

Strong attractors of Hopfield neural networks to model attachment types and behavioural patterns

Fully-digital oscillatory associative memories enabled by non-volatile logic

A novel reservoir network of asynchronous cellular automaton based neurons for MIMO neural system reproduction

Power analysis of large-scale, real-time neural networks on SpiNNaker

Morphological learning: Increased memory capacity of neuromorphic systems with binary synapses exploiting AER based reconfiguration

A spiking neural network for illuminant-invariant colour discrimination

A new spiking neuron model

Modeling populations of spiking neurons for fine timing sound localization

Thinking in prose and poetry: A semantic neural model

Toward a neural network theory of emotional influences on creativity

Towards a unified neurobiological theory of creative problem solving

Modeling the effect of hint timing on the idea generation process

Dual-process architecture for reasoning in design innovation problems

Dissimilarity space embedding of labeled graphs by a clustering-based compression procedure

Generic object recognition with local features: From bags to subspaces

Matching of time-varying labeled graphs

Maximal margin learning vector quantisation

Toward a causal topic model for video scene analysis

Extraction of 2D-pattern signatures for protein folds

Some results about the Vapnik-Chervonenkis entropy and the rademacher complexity

A dynamical model for community detection in complex networks

Learning in deep architectures with folding transformations

Transfer learning based compressive tracking

Preprocessing unbalanced data using weighted support vector machines for prediction of heart disease in children

Detecting and labeling representative nodes for network-based semi-supervised learning

Active semi-supervised learning using particle competition and cooperation in networks

A root location training method for polynomial cellular neural networks that implements totalistic cellular automata

Analysis of various transient phenomena and co-existing periodic spike-trains in simple digital spike maps

Neural spiking dynamics in asynchronous digital circuits

Bifurcation phenomena of simple pulse-coupled spiking neuron models with filtered base signal

A neural network based algorithm for gene expression prediction from chromatin structure

Predicting nerve guidance conduit performance for peripheral nerve regeneration using bootstrap aggregated neural networks

Artificial neural networks for predicting 3D protein shapes from amino acid sequences

Optimized neuro genetic fast estimator (ONGFE) for efficient distributed intelligence instantiation within embedded systems

A fuzzy technique to control congestion in WSN

SOMMA: Cortically inspired paradigms for multimodal processing

Shaping synaptic learning by the duration of the postsynaptic action potential

Biologically plausible models of homeostasis and STDP: Stability and learning in spiking neural networks

Spike-based learning of transfer functions with the SpiNNaker neuromimetic simulator

GPU facilitated unsupervised visual feature acquisition in spiking neural networks

A basis coupled evolving spiking neural network with afferent input neurons

A hybrid forecasting approach using ARIMA models and self-organising fuzzy neural networks for capital markets

Coupled market behavior based financial crisis detection

A comparative study on forecasting polyester chips prices for 15 days, using different hybrid intelligent systems

Biologically inspired intensity and range image feature extraction

Learning convolutional neural networks from few samples

Adaptive linear learning for on-line harmonic identification: An overview with study cases

$FEBAMSOM-BAM^{∗}:$ Neural network model of human categorization of the N-bits parity problem

Fine-tuning of the SOMkNN classifier

A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments

Spreading activation and sparseness in a bidirectional associative memory

Stimulus discrimination in networks of spiking neurons

Dynamic sample size selection based quasi-Newton training for highly nonlinear function approximation using multilayer neural networks

Unsupervised feature learning classification using an extreme learning machine

Classifier comparison for MSER-based text classification in scene images

Measure optimized wrapper framework for multi-class imbalanced data learning: An empirical study

A novel cost sensitive neural network ensemble for multiclass imbalance data learning

ColorPCA: Color principal feature extraction technique for color image reconstruction and recognition

On the convergence of techniques that improve value iteration

An interval nonparametric regression method

Diversity in task decomposition: A strategy for combining mixtures of experts

Locally linear representation Fisher criterion

Impact of variability in data on accuracy and diversity of neural network based ensemble classifiers

Neuronal mechanisms underlying exploration-exploitation strategies in operant learning

Correctness and performance of the SpiNNaker architecture

A highly accurate, optical flow-based algorithm for nonlinear spatial normalization of diffusion tensor images

About analysis and robust classification of searchlight fMRI-data using machine learning classifiers

Designing partially-connected, multilayer perceptron neural nets through information gain

Evolving flexible beta basis function neural tree for nonlinear systems

Recurrent neural networks inspired by artificial Immune algorithm for time series prediction

A procedure for training recurrent networks

Adaptive control of discrete-time nonlinear systems by recurrent neural networks in a Quasi Sliding mode regime

Robust neural predictor for noisy chaotic time series prediction

Adaptive problem decomposition in cooperative coevolution of recurrent networks for time series prediction

Electrical load forecasting using fast learning recurrent neural networks

Contradiction resolution with explicit and limited evaluation and its application to SOM

Speaker identification model for Assamese language using a neural framework

Self-organizing trees for visualizing protein dataset

Neurocomputing and associative memories based on ovenized aluminum nitride resonators

Detection and diagnosis of broken rotor bars and eccentricity faults in induction motors using the Fuzzy Min-Max neural network

Levenberg-Marquardt and Conjugate Gradient methods applied to a high-order neural network

Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting

A new fast learning algorithm with promising global convergence capability for feed-forward neural networks

A robot on-line area coverage approach based on the probabilistic Lloyd method

A computational model of selecting visual attention based on bottom-up and top-down feature combination

Recent advances in algorithmic learning theory of the Kanban cell neuron network

Modeling disinhibition within a layered structure of the LGMD neuron

Dysfunctional neural activity and connection patterns in attention deficit hyperactivity disorder: A resting state fMRI study

STDP produces robust oscillatory architectures that exhibit precise collective synchronization

Ensemble of heterogeneous classifiers applied to lithofacies classification using logs from different wells

Impute vs. Ignore: Missing values for prediction

CRNN: Integrating classification rules into neural network

Characterization measures of ensemble systems using a meta-learning approach

A hybrid optimization method for acceleration of building linear classification models

Chunk incremental IDR/QR LDA learning

A soft label based linear discriminant analysis for semi-supervised dimensionality reduction

Feature construction approach for email categorization based on term space partition

A parameter-free kernel design based on cumulative distribution function for correntropy

Noise benefits in backpropagation and deep bidirectional pre-training

Using neural networks committee machines to improve outcome prediction assessment in nonlinear regression

Using genetic algorithms and ensemble systems in online cancellable signature recognition

Variational learning of finite Beta-Liouville mixture models using component splitting

Online news topic detection and tracking via localized feature selection

Self-adaptive probability estimation for Naive Bayes classification

Non-parallel semi-supervised classification based on kernel spectral clustering

Minority SVM for linearly separable imbalanced datasets

Incremental anomaly identification by adapted SVM method

A local mixture based SVM for an efficient supervised binary classification

Fuzzy entropy semi-supervised support vector data description

The convergence rate of linearly separable SMO

A quasi-linear SVM combined with assembled SMOTE for imbalanced data classification

Designing multi-objective multi-armed bandits algorithms: A study

Collaborative multi-view clustering

Discriminative k-means clustering

A comparative analysis of dissimilarity measures for clustering categorical data

Learning vector quantization with local adaptive weighting for relevance determination in Genome-Wide association studies

A dissimilarity-based classifier for generalized sequences by a granular computing approach

High level data classification based on network entropy

Application of string kernel based support vector machine for malware packer identification

Dealing with highly imbalanced textual data gathered into similar classes

Kernel adaptive filtering with confidence intervals

Non-preemptive multi-constrain scheduling for multiprocessor with hopfield neural network

Mitigation of catastrophic forgetting in recurrent neural networks using a Fixed Expansion Layer

Epidemiological dynamics modeling by fusion of soft computing techniques

Traffic sign recognition — How far are we from the solution?

Handwriting representation and recognition through a sparse projection and low-rank recovery framework

Robust image representation and decomposition by Laplacian regularized latent low-rank representation

The adaptive suffix tree: A space efficient sequence learning algorithm

Acquiring visual servoing reaching and grasping skills using neural reinforcement learning

Stability of direct heuristic dynamic programming for nonlinear tracking control using PID neural network

Neural network based finite horizon optimal control for a class of nonlinear systems with state delay and control constraints

Metaclasses and zoning for handwritten document recognition

Learning Bayesian Network leveled-structure from support based XML frequent itemsets

Machine learning to predict extubation outcome in premature infants

Extended scaled neural predictor for improved branch prediction

Image sequence recognition with active learning using uncertainty sampling

Domain adaptation for cross-lingual query classification using search query logs and document classification

Finite-horizon neural network-based optimal control design for affine nonlinear continuous-time systems

Sparse similarity matrix learning for visual object retrieval

A shape descriptor based on symbolic data analysis

Quasi-random sampling for approximate dynamic programming

Real-time road surface mapping using stereo matching, v-disparity and machine learning

Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks

Bio-inspired orientation analysis for seismic image

Incorporating approximate dynamic programming-based parameter tuning into PD-type virtual inertia control of DFIGs

Learning from local and global discriminative information for semi-supervised dimensionality reduction

Design study of efficient digital order-based STDP neuron implementations for extracting temporal features

Extension of neuron machine neurocomputing architecture for spiking neural networks

Energy efficient perceptron pattern recognition using segmented memristor crossbar arrays

Exploring the design space of specialized multicore neural processors

DPLL based hardware SOM with a new winner-take-all circuit

A CMOS neuromorphic approach to emulate neuro-astrocyte interactions

Cognitive computing building block: A versatile and efficient digital neuron model for neurosynaptic cores

Cognitive computing programming paradigm: A Corelet Language for composing networks of neurosynaptic cores

Development of an efficient parameter estimation method for the inference of Vohradský's neural network models of genetic networks

Early diagnosis of heart disease using classification and regression trees

An incremental learning face recognition system for single sample per person

Automatic text categorization by a Granular Computing approach: Facing unbalanced data sets

Towards predicting persistent activity of neurons by statistical and fractal dimension-based features

Classification of marine organisms in underwater images using CQ-HMAX biologically inspired color approach

Geometrical facial modeling for emotion recognition

Genetic algorithm for seismic velocity picking

Exploring mineral domains with genetic algorithm

Noisy hidden Markov models for speech recognition

Robust feedback passivity via dynamic neural networks

Subcutaneous neural inverse optimal control for an Artificial Pancreas

Deep searching for parameter estimation of the linear time invariant (LTI) system by using Quasi-ARX neural network

Neural inverse optimal control for a linear induction motor

Face recognition improvement with distortions of images in training set

Face recognition using voting technique for the Gabor and LDP features

Illumination-invariant face recognition from a single image across extreme pose using a dual dimension AAM ensemble in the thermal infrared spectrum

Infrared face recognition: A literature review

NeuroEvolutionary meta-optimization

Robust controller design of continuous-time nonlinear system using neural network

Object recognition in a context-aware application

HMeanMax: Placing HMAX and HoG into a unified framework

Can N-dimensional convolutional neural networks distinguish men and women better than humans do?

A telecommunications call volume forecasting system based on a recurrent fuzzy neural network

A Neural Network model of the impact of political instability on tourism

Neural equalizer trained by the artificial immune system learning algorithm

Optimizing F-measure with non-convex loss and sparse linear classifiers

A framework for content-based retrieval of EEG with applications to neuroscience and beyond

Extreme Learning Machine combining matrix factorization for collaborative filtering

Cellular neural network based situational awareness system for power grids

Real-time discrete neural identifier for a linear induction motor using a dSPACE DS1104 board

Dam seepage analysis based on artificial neural networks: The hysteresis phenomenon

Empirical modeling of vehicle fuel economy based on historical data

Constructing mobile-oriented catalog in m-commerce using LDA-based self-adaptive genetic algorithm

N2Sky — Neural networks as services in the clouds

Intelligent determination for readmission of postoperative patients in ambulatory surgery

A novel method for training and classification of ballistic and quasi-ballistic missiles in real-time

Fast diagnosing of pediatric respiratory diseases by using high speed neural networks

Detection and identification of seismic P-Waves using Artificial Neural Networks

A two-step convolutional neural network approach for semantic role labeling

Intelligent speed profile prediction on urban traffic networks with machine learning

Multi-circle detection for bladder cancer diagnosis based on artificial immune systems

Parallel incremental SVM for classifying million images with very high-dimensional signatures into thousand classes

Real-time detection of young spruce using color and texture features on an autonomous forest machine

Off-line Bangla signature verification: An empirical study

Nested-loop neural network vector control of permanent magnet synchronous motors

Authenticated key exchange protocol using neural cryptography with secret boundaries

Protein secondary structure prediction using a fully complex-valued relaxation network

On processing three dimensional data by quaternionic neural networks

Modified learning for discrete multi-valued neuron

3D gesture recognition with growing neural gas

Variational Bayesian tracking: Whole track convergence for large-scale ecological video monitoring

A management framework for device-free localization

Multi-valued neuron with new learning schemes

Neural-PSO second order sliding mode controller for unknown discrete-time nonlinear systems

Backpropagation learning method with interval type-2 fuzzy weights in neural networks

Adaptive learning in motion analysis with self-organising maps

Analog system modeling based on a double modified complex valued neural network

Recurrent neural networks inspired by artificial immune algorithm for time series prediction

Structural information processing in early vision using Hebbian-based mean shift

Pose estimation for vertebral mobility analysis using eXclusive-ICA based boosting (XICABoost) algorithm

Spiking neural networks for financial data prediction

Diffusion least-mean squares over adaptive networks with dynamic topologies

Adaptive controller for PMSG wind turbine systems with back-to-back PWM converters

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.

2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)

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

1990 IJCNN International Joint Conference on Neural Networks

International 1989 Joint Conference on Neural Networks

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