Online neural network model for non-stationary and imbalanced data stream classification

Online cost-sensitive neural network classifiers for non-stationary and imbalanced data streams

(2012) Adel Ghazikhani et al.   NEURAL COMPUTING & APPLICATIONS

Parameter selection algorithm with self adaptive growing neural network classifier for diagnosis issues

(2012) M. Barakat et al.   International Journal of Machine Learning and Cybernetics

Incremental Learning of Concept Drift in Nonstationary Environments

(2011) R. Elwell et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers

(2011) Javier Sánchez-Monedero et al.   NEURAL PROCESSING LETTERS

A robust incremental learning method for non-stationary environments

(2011) David Martínez-Rego et al.   NEUROCOMPUTING

Error back-propagation algorithm for classification of imbalanced data

(2011) Sang-Hoon Oh   NEUROCOMPUTING

Incremental learning with multi-level adaptation

(2011) Abdelhamid Bouchachia   NEUROCOMPUTING

Visual tracking of the millennium development goals with a fuzzified self-organizing neural network

(2011) Peter Sarlin   International Journal of Machine Learning and Cybernetics

Classifying cognitive states of brain activity via one-class neural networks with feature selection by genetic algorithms

(2011) Omer Boehm et al.   International Journal of Machine Learning and Cybernetics

Dynamic financial distress prediction using instance selection for the disposal of concept drift

(2010) Jie Sun et al.   EXPERT SYSTEMS WITH APPLICATIONS

FSVM-CIL: Fuzzy Support Vector Machines for Class Imbalance Learning

(2010) Rukshan Batuwita et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Classification Using Streaming Random Forests

(2010) Hanady Abdulsalam et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints

(2010) Mohammad Masud et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets

(2010) Alberto Fernández et al.   INFORMATION SCIENCES

A combinational incremental ensemble of classifiers as a technique for predicting students’ performance in distance education

(2010) S. Kotsiantis et al.   KNOWLEDGE-BASED SYSTEMS

Fast Multiclass SVM Classification Using Decision Tree Based One-Against-All Method

(2010) M. Arun Kumar et al.   NEURAL PROCESSING LETTERS

: An adaptive classifier for data streams

(2010) N.G. Pavlidis et al.   PATTERN RECOGNITION

Genetic Algorithm-Neural Network (GANN): a study of neural network activation functions and depth of genetic algorithm search applied to feature selection

(2010) Dong Ling Tong et al.   International Journal of Machine Learning and Cybernetics

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A new convex objective function for the supervised learning of single-layer neural networks

(2009) Oscar Fontenla-Romero et al.   PATTERN RECOGNITION