A resource-allocating network for function interpolation
Neural Computation
Universal approximation using radial-basis-function networks
Neural Computation
Approximation and radial-basis-function networks
Neural Computation
Neural networks: a systematic introduction
Neural networks: a systematic introduction
MetaCost: a general method for making classifiers cost-sensitive
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Statistical Analysis of the Main Parameters in the Definition of Radial Bases Function Networks
IWANN '97 Proceedings of the International Work-Conference on Artificial and Natural Neural Networks: Biological and Artificial Computation: From Neuroscience to Technology
Extracting Interpretable Fuzzy Rules from RBF Networks
Neural Processing Letters
Editorial: special issue on learning from imbalanced data sets
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
A study of the behavior of several methods for balancing machine learning training data
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Neural Learning from Unbalanced Data
Applied Intelligence
A review of genetic algorithms applied to training radial basis function networks
Neural Computing and Applications
Evolving RBF neural networks for time-series forecasting with EvRBF
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Informatics and computer science intelligent systems applications
Evolutionary Radial Basis Functions for Credit Assessment
Applied Intelligence
Neural Computing and Applications
KBA: Kernel Boundary Alignment Considering Imbalanced Data Distribution
IEEE Transactions on Knowledge and Data Engineering
Intrusion detection using hierarchical neural networks
Pattern Recognition Letters
Training Cost-Sensitive Neural Networks with Methods Addressing the Class Imbalance Problem
IEEE Transactions on Knowledge and Data Engineering
Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents
Evolutionary Computation
Biostatistical Analysis (5th Edition)
Biostatistical Analysis (5th Edition)
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Statistical Comparisons of Classifiers over Multiple Data Sets
The Journal of Machine Learning Research
Cost-sensitive boosting for classification of imbalanced data
Pattern Recognition
Comparison of different strategies of utilizing fuzzy clustering in structure identification
Information Sciences: an International Journal
An Evaluation of the Robustness of MTS for Imbalanced Data
IEEE Transactions on Knowledge and Data Engineering
Improving multiclass pattern recognition with a co-evolutionary RBFNN
Pattern Recognition Letters
Fast learning in networks of locally-tuned processing units
Neural Computation
Risk-sensitive loss functions for sparse multi-category classification problems
Information Sciences: an International Journal
Regularization in the selection of radial basis function centers
Neural Computation
On the k-NN performance in a challenging scenario of imbalance and overlapping
Pattern Analysis & Applications - Special Issue: Non-parametric distance-based classification techniques and their applications
Evolutionary rule-based systems for imbalanced data sets
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Evolutionary and Metaheuristics based Data Mining (EMBDM); Guest Editors: José A. Gámez, María J. del Jesús, José M. Puerta
KEEL: a software tool to assess evolutionary algorithms for data mining problems
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Evolutionary and Metaheuristics based Data Mining (EMBDM); Guest Editors: José A. Gámez, María J. del Jesús, José M. Puerta
Chinese Text Classification Based on the BVB Model
SKG '08 Proceedings of the 2008 Fourth International Conference on Semantics, Knowledge and Grid
A locally constrained radial basis function for registration and warping of images
Pattern Recognition Letters
International Journal of Approximate Reasoning
Soft Computing - A Fusion of Foundations, Methodologies and Applications
A novel modular neural network for imbalanced classification problems
Pattern Recognition Letters
IEEE Transactions on Knowledge and Data Engineering
SMOTE: synthetic minority over-sampling technique
Journal of Artificial Intelligence Research
Learning when training data are costly: the effect of class distribution on tree induction
Journal of Artificial Intelligence Research
Improved heterogeneous distance functions
Journal of Artificial Intelligence Research
Learning methods for radial basis function networks
Future Generation Computer Systems
Facetwise analysis of XCS for problems with class imbalances
IEEE Transactions on Evolutionary Computation
Information Sciences: an International Journal
Improving the performance of the RBF neural networks trained with imbalanced samples
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
An unbalanced data classification model using hybrid sampling technique for fraud detection
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Classifying unbalanced pattern groups by training neural network
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Evolutionary computation: comments on the history and current state
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Information Technology in Biomedicine
Evolutionary optimization of radial basis function classifiers for data mining applications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Neural Networks
Conditional fuzzy clustering in the design of radial basis function neural networks
IEEE Transactions on Neural Networks
Two highly efficient second-order algorithms for training feedforward networks
IEEE Transactions on Neural Networks
Orthogonal least squares learning algorithm for radial basis function networks
IEEE Transactions on Neural Networks
High-speed face recognition based on discrete cosine transform and RBF neural networks
IEEE Transactions on Neural Networks
A Hybrid Forward Algorithm for RBF Neural Network Construction
IEEE Transactions on Neural Networks
Functional equivalence between radial basis function networks and fuzzy inference systems
IEEE Transactions on Neural Networks
Novel weighting in single hidden layer feedforward neural networks for data classification
Computers & Mathematics with Applications
Engineering Applications of Artificial Intelligence
| Hi-index | 0.10 |
In the classification problem field, we often encounter many real application areas in which the data do not have an equitable distribution among the different classes of the problem. In such cases, we are dealing with the so-called imbalanced data sets. This scenario has significant interest since standard classifiers are often biased towards the majority classes, whereas the minority ones tend to have a higher reward as they usually define the concepts of interest from the learning point of view. The aim of this paper is to analyse the performance of CO^2RBFN, a evolutionary cooperative-competitive model for the design of radial-basis function networks applied to classification problems on imbalanced domains, and to study its cooperation with a well-known pre-processing method, the ''synthetic minority over-sampling technique''. The good performance of CO^2RBFN is shown through an experimental study carried out on a large collection of imbalanced data sets where we compare, by means of a proper statistical study, the behaviour of our model with many representative neural networks algorithms, the C4.5 decision tree and a hierarchical fuzzy rule-based classification system.