International Journal of Man-Machine Studies - Special Issue: Knowledge Acquisition for Knowledge-based Systems. Part 5
Optimized Feature Extraction and the Bayes Decision in Feed-Forward Classifier Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Learning for the Detection of Oil Spills in Satellite Radar Images
Machine Learning - Special issue on applications of machine learning and the knowledge discovery process
Robust Classification for Imprecise Environments
Machine Learning
Editorial: special issue on learning from imbalanced data sets
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
A principled approach for building and evaluating neural network classification models
Decision Support Systems
Revisiting squared-error and cross-entropy functions for training neural network classifiers
Neural Computing and Applications
Training Cost-Sensitive Neural Networks with Methods Addressing the Class Imbalance Problem
IEEE Transactions on Knowledge and Data Engineering
Classifying imbalanced data using a bagging ensemble variation (BEV)
ACM-SE 45 Proceedings of the 45th annual southeast regional conference
A threshold varying bisection method for cost sensitive learning in neural networks
Expert Systems with Applications: An International Journal
Modeling consumer situational choice of long distance communication with neural networks
Decision Support Systems
Neural Computation
Human decision-making behavior and modeling effects
Decision Support Systems
Decision support for determining veracity via linguistic-based cues
Decision Support Systems
SMOTE: synthetic minority over-sampling technique
Journal of Artificial Intelligence Research
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Neural networks for classification: a survey
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
ACACOS'11 Proceedings of the 10th WSEAS international conference on Applied computer and applied computational science
Multiple costs based decision making with back-propagation neural networks
Decision Support Systems
Nearest-neighbor-based approach to time-series classification
Decision Support Systems
Improving ANNs performance on unbalanced data with an AUC-Based learning algorithm
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
Influence of class distribution on cost-sensitive learning: A case study of bankruptcy analysis
Intelligent Data Analysis
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Despite a larger number of successful applications of artificial neural networks for classification in business and other areas, published research has not considered the effects of misclassification costs and group sizes. Without the consideration of uneven misclassification costs, the classifier development will be compromised in minimizing the total misclassification errors. The use of this simplified model will not only result in poor decision capability when misclassification errors are significantly unequal, but also increase the model bias in favor of larger groups. This paper explores the issues of asymmetric misclassification costs and imbalanced group sizes through an application of neural networks to thyroid disease diagnosis. The results show that both asymmetric misclassification costs and imbalanced group sizes have significant effects on the neural network classification performance. In addition, we find that increasing the sample size and resampling are two effective approaches to counteract the problems.