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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)

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.

Volume 4 - 2003

Volume 3 - 2003

Synaptic modification of interneuron afferents in a hippocampal CA3 model prevents activity oscillations

Defining time in a minimal hippocampal CA3 model by matching time-span of associative synaptic modification and input pattern duration

Timing of consecutive traveling pulses in a model of entorhinal cortex

Latent attractor selection for variable length episodic context stimuli with distractors

Consecutive face recognition by association cortex-entorhinal cortex-hippocampal formation modal

T-maze training of a recurrent CA3 model reveals the necessity of novelty-based modulation of LTP in hippocampal region CA3

The importance of stop word removal on recall values in text categorization

Training and holistic computation of vector graphics with Hebbian bases in contrast to RAAM networks

Fault detection system in gas lift well based on artificial immune system

An investigation into the source of power for AIRS, an artificial immune classification system

Self-organizing neural networks for efficient clustering of gene expression data

Membership scoring via independent feature subspace analysis for grouping co-expressed genes

Probabilistic neural networks for multi-class tissue discrimination with gene expression data

Genetic search for optimal ensemble of feature-classifier pairs in DNA gene expression profiles

Paired neural network with negatively correlated features for cancer classification in DNA gene expression profiles

Probabilistic neural network classification for microarraydata

Classification of eukaryotic and prokaryotic cells by a backpropagation network

Integrated gene expression analysis of multiple microarray data sets based on a normalization technique and on adaptive connectionist model

Robust regression under asymmetric or/and non-constant variance error by simultaneously training conditional quantiles

Coloring black boxes: visualization of neural network decisions

Time-series novelty detection using one-class support vector machines

Data mining for building neural protein sequence classification systems with improved performance

Interval arithmetic inversion: a new rule extraction algorithm

Relevance feedback with active learning for document retrieval

A SOM projection technique with the growing structure for visualizing high-dimensional data

Naive Bayesian classifier for microarray data

Efficient realization of classification using modified Haar DWT

Predicting intrusions with local linear models

A comparison of SOM based document categorization systems

Neural networks for web page classification based on augmented PCA

Neural networks mine for gold at the greyhound racetrack

Learning classifier systems for data mining: a comparison of XCS with other classifiers for the Forest Cover data set

On the capability of an SOM based intrusion detection system

Mineral potential mapping using feed-forward neural networks

Intrusion detection using radial basis function network on sequences of system calls

Application of the method of elastic maps in analysis of genetic texts

Towards a tactile communication system with dialog-based tuning

Unsupervised similarity-based feature selection using heuristic Hopfield neural networks

Bagged ensembles of Support Vector Machines for gene expression data analysis

Improved fuzzy lattice neurocomputing (FLN) for semantic neural computing

A cascade form blind source separation connecting source separation and linearization for nonlinear mixtures

Natural gradient based blind multi user detection in QPSK DS-CDMA system

The further discussions on constrained learning algorithms

Acceleration of Levenberg-Marquardt training of neural networks with variable decay rate

Adaptive critic designs and their implementations on different neural network architectures

Combination of online Clustering and Q-value based genetic reinforcement learning for fuzzy network design

Approximate dynamic programming based optimal neurocontrol synthesis of a chemical reactor process using proper orthogonal decomposition

A performance comparison of TRACA - an incremental on-line learning algorithm

Fast convergence for backpropagation network with magnified gradient function

Competitive reinforcement learning in continuous control tasks

A neural cascade architecture for document retrieval

A wavelet-based neuro-fuzzy system and its applications

Feature extraction for neural-fuzzy inference system

A PID neural network controller

Modular Fuzzy Hyperline Segment Neural Network

Multivariate time series model discovery with similarity-based neuro-fuzzy networks and genetic algorithms

Adaptive fuzzy-neural control for uncertain time-delayed systems

Three improved fuzzy lattice neurocomputing (FLN) classifiers

Parameter sensitivities of a neuro-based adaptive controller with guaranteed stability

A comparative study of the category choice of the fuzzy ART with the L-1 norm

Fuzzy ARTMAP with relevance factor

From categorical semantics to neural network design

Universal approximation with Fuzzy ART and Fuzzy ARTMAP

Perceptron learning in the domain of graphs

A novel approach for training small-sized multilayer perceptrons

Accurate initialization of neural network weights by backpropagation of the desired response

New learning factor and testing methods for conjugate gradient training algorithm

On variable sizes and sigmoid activation functions of multilayer perceptrons

Improved neural network training using redundant structure

An efficient learning algorithm with second-order convergence for multilayer neural networks

A novel min-max feature value based neural architecture and learning algorithm for classification of microcalcifications

Robust optimization in support vector machine training with bounded errors

A kernel fuzzy classifier with ellipsoidal regions

A role of total margin in support vector machines

Comparison of L1 and L2 support vector machines

Fast linear stationary methods for automatically biased support vector machines

Identification of chaotic process systems with least squares support vector machines

SVM learning with fixed-point math

Optimizing Support Vector regression hyperparameters based on cross-validation

Design of support vector machine by adaptive aggregation

SMO algorithm for least squares SVM

Power system security evaluation using ANN: feature selection using divergence

Evaluation of cosine radial basis function neural networks on electric power load forecasting

Direct torque control of induction motors by use of the GMR neural network

Neuro-hybrid genetic algorithm based economic dispatch for utility system

Self-organizing neural-based fuzzy controller for transient stability of multimachine power systems using flywheel battery

Neural systems for solving the inverse problem of recovering the primary signal waveform in potential transformers

Recognition system for EMG signals by using non-negative matrix factorization

Human head detection using multi-modal object features

Local voting networks for human face recognition

Application of four-layer neural network on information extraction

Submodular neural network is better than modular neural network and support vector machines for personal verification

A new class of convolutional neural networks (SICoNNets) and their application of face detection

Permutative coding technique for handwritten digit recognition system

3D face recognition by profile and surface matching

Various decomposition methods applied to face recognition

Feature selection forcing overtraining may help to improve performance

Pattern recognition device using scalar vector graphics

A novel electromyography (EMG) based classification approach for Arabic handwriting

An adaptive sparse distributed memory

Modular neural networks for solving high complexity problems

Human face recognition based on radial basis probabilistic neural network

Classification of the Italian Liras using the LVQ method

A method of biomimetic pattern recognition for face recognition

Neural interpolator for image recognition in the process of microdevice assembly

A neuro-fuzzy graphic object classifier with modified distance measure estimator

Combinative neural-network-based classifiers for optical handwritten character and letter recognition

Document clustering using hierarchical SOMART neural network

Facial expression recognition combined with robust face detection in a convolutional neural network

Hierarchical learning of optimal linear representations

GA-SVM wrapper approach for feature subset selection in keystroke dynamics identity verification

Biomimetic (topological) pattern recognition - a new model of pattern recognition theory and its application

A feature extraction of the EEG during listening to the music using the factor analysis and neural networks

Gene expression data analysis using support vector machines

Robust recognition based on adaptive combination of weak classifiers

Optimizing radial basis probabilistic neural networks using Recursive Orthogonal Least Squares Algorithms combined with Micro-Genetic Algorithms

Using artificial neural networks to identify headings in newspaper documents

"Freecell" neural network heuristics

Layered neural network training with model switching and hidden layer feature regularization

Multi class support vector machine implementation to intrusion detection

On the efficiency of OLS reduced probabilistic neural networks for aircraft-flare discrimination

A multivalent logic approach to risk estimation of learning machines

Toward a modular connectionist model of local chlorophyll concentration from satellite images

Improved defect detection using support vector machines and wavelet feature extraction based on vector quantization and SVD techniques

Three heuristics for receptive field optimization for ensemble encoding

A general projection neural network for solving optimization and related problems

Extended simulated annealing for augmented TSP and multi-salesmen TSP

Support vector machines and the electoral college

Mixed analog/digital system for quadratic assignment problems

Distribution approximation, combinatorial optimization, and Lagrange-Barrier

Synthesis of a k-winners-take-all neural network using linear programming with bounded variables

Regularization and Feedforward artificial neural network training with noise

Hybrid adaptive fuzzy control wing rock motion system with H/sup /spl infin// robust performance

Parameter plane analysis of neurocontrol vehicle systems for limit cycle prediction

Parameter sensitivities of a neuro-based adaptive controller with guaranteed stability

Maximum entropy utility equilibrium of mobile agents with aggregated statistical behaviours

Robust tracking control of uncertain nonlinear systems with an input time delay

Development of autonomous flight control system for unmanned helicopter by use of neural networks

Constructive neural network in model-based control of a biotechnological process

Lyapunov stability analysis of the quantization error for DCS neural networks

An in-vehicle virtual driving assistant using neural networks

Transition between position-matching control and rhythm-matching control in hand tracking task is explained by a phase model for hand motion

Applying Guided Evolutionary Simulated Annealing to cost-based abduction

Volume 2 - 2003

Volume 1 - 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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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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