Bankruptcy prediction using neural networks
Decision Support Systems - Special issue on neural networks for decision support
Self organizing neural networks for financial diagnosis
Decision Support Systems
Machine Learning
Hybrid neural network models for bankruptcy predictions
Decision Support Systems
Computers and Operations Research
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the boosting ability of top-down decision tree learning algorithms
Journal of Computer and System Sciences
Combining predictors: comparison of five meta machine learning methods
Information Sciences: an International Journal
Ensemble of structure-adaptive self-organizing maps for high performance classification
Information Sciences: an International Journal - methods and systems for intelligent human—computer interaction
Neural network credit scoring models
Computers and Operations Research - Neural networks in business
Randomizing Outputs to Increase Prediction Accuracy
Machine Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model selection for medical diagnosis decision support systems
Decision Support Systems
Genetic programming in classifying large-scale data: an ensemble method
Information Sciences: an International Journal - Special issue: Soft computing data mining
Credit rating analysis with support vector machines and neural networks: a market comparative study
Decision Support Systems - Special issue: Data mining for financial decision making
Intrusion detection using an ensemble of intelligent paradigms
Journal of Network and Computer Applications - Special issue on computational intelligence on the internet
Neural network ensemble strategies for financial decision applications
Computers and Operations Research
Neural Computation
Neural Computation
Toward a successful CRM: variable selection, sampling, and ensemble
Decision Support Systems
Editorial: Computationally intelligent agents in economics and finance
Information Sciences: an International Journal
The theory and experiments of designing cooperative intelligent systems
Decision Support Systems
Modeling intrusion detection system using hybrid intelligent systems
Journal of Network and Computer Applications - Special issue: Network and information security: A computational intelligence approach
A neural network ensemble method with jittered training data for time series forecasting
Information Sciences: an International Journal
Boosting and other ensemble methods
Neural Computation
Computer Methods and Programs in Biomedicine
Bankruptcy prediction with neural logic networks by means of grammar-guided genetic programming
Expert Systems with Applications: An International Journal
Constructing response model using ensemble based on feature subset selection
Expert Systems with Applications: An International Journal
Modeling the concept of majority opinion in group decision making
Information Sciences: an International Journal
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
Lung cancer cell identification based on artificial neural network ensembles
Artificial Intelligence in Medicine
Stability problems with artificial neural networks and the ensemble solution
Artificial Intelligence in Medicine
Neural networks in financial engineering: a study in methodology
IEEE Transactions on Neural Networks
Radial Basis Function network learning using localized generalization error bound
Information Sciences: an International Journal
Information Sciences: an International Journal
A dynamic classifier ensemble selection approach for noise data
Information Sciences: an International Journal
Behavioral assessment of recoverable credit of retailer's customers
Information Sciences: an International Journal
Personalized mode transductive spanning SVM classification tree
Information Sciences: an International Journal
A diversity-driven structure learning algorithm for building hierarchical neuro-fuzzy classifiers
Information Sciences: an International Journal
SMART: Stream Monitoring enterprise Activities by RFID Tags
Information Sciences: an International Journal
Multi-agent team formation: diversity beats strength?
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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This research investigates the potential for two forms of error diversity (ability diversity and diversity of cognitive style) to increase the accuracy of multi-agent group decision processes. An experimental methodology is employed that rigorously controls for the sources of error diversity. The results indicate that ability diversity decreases group decision errors by approximately 4%. Cognitive diversity is much more effective; decision errors are reduced by approximately 13% by groups formed from four cognitive classes. As sources of ability and cognitive diversity increase, the generalization error of the group decision decreases, and the prominence of the most capable member (i.e., expert) in the group diminishes. Thus, the popular reliance on using more capable members to create high performance homogenous groups may be misguided. This research indicates that a better strategy is to create groups of members that 'think differently' and cooperate to produce a group decision. Using this strategy, we are able to reduce the group decision error in two bankruptcy detection data sets by 11-47%. Reductions of this magnitude in high volume, high value, and repetitive decision environments characterizing the financial domain are extremely significant, where error reductions of even a fraction of a percent are welcome.