Sotiris B. Kotsiantis

Proceedings of the Emerging Artificial Intelligence Applications in Computer Engineering, 2007

Selective costing voting for bankruptcy prediction.

[BibT_eX]

[DOI]

Dimitris Tzelepis

Euaggelos Koumanakos

Int. J. Knowl. Based Intell. Eng. Syst., 2007

Supervised Machine Learning: A Review of Classification Techniques.

[BibT_eX]

[DOI]

Informatica (Slovenia), 2007

Credit risk analysis using a hybrid data mining model.

[BibT_eX]

[DOI]

Int. J. Intell. Syst. Technol. Appl., 2007

Combining Bagging, Boosting and Dagging for Classification Problems.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

A Wrapper for Reweighting Training Instances for Handling Imbalanced Data Sets.

[BibT_eX]

[DOI]

M. Karagiannopoulos

D. Anyfantis

Proceedings of the Artificial Intelligence and Innovations 2007: from Theory to Applications, 2007

Robustness of learning techniques in handling class noise in imbalanced datasets.

[BibT_eX]

[DOI]

D. Anyfantis

M. Karagiannopoulos

Proceedings of the Artificial Intelligence and Innovations 2007: from Theory to Applications, 2007

Towards an ontology-based system for intelligent prediction of firms with fraudulent financial statements.

[BibT_eX]

[DOI]

Proceedings of 12th IEEE International Conference on Emerging Technologies and Factory Automation, 2007

2006

Local Boosting of Decision Stumps for Regression and Classification Problems.

[BibT_eX]

[DOI]

J. Comput., 2006

Local averaging of heterogeneous regression models.

[BibT_eX]

[DOI]

Int. J. Hybrid Intell. Syst., 2006

Machine learning: a review of classification and combining techniques.

[BibT_eX]

[DOI]

Ioannis D. Zaharakis

Artif. Intell. Rev., 2006

Predicting Fraudulent Financial Statements with Machine Learning Techniques.

[BibT_eX]

[DOI]

Euaggelos Koumanakos

Dimitris Tzelepis

Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006

Local Additive Regression of Decision Stumps.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006

Bagged Averaging of Regression Models.

[BibT_eX]

[DOI]

Ioannis D. Zaharakis

Proceedings of the Artificial Intelligence Applications and Innovations, 2006

Local Ordinal Classification.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Applications and Innovations, 2006

Financial Application of Neural Networks: Two Case Studies in Greece.

[BibT_eX]

[DOI]

Euaggelos Koumanakos

Dimitris Tzelepis

Proceedings of the Artificial Neural Networks, 2006

Ontology-based Learning Applications: A Development Methodology.

[BibT_eX]

Proceedings of the IASTED International Conference on Software Engineering, 2006

2005

Local voting of weak classifiers.

[BibT_eX]

[DOI]

Int. J. Knowl. Based Intell. Eng. Syst., 2005

Logitboost of Simple Bayesian Classifier.

[BibT_eX]

[DOI]

Informatica (Slovenia), 2005

Bagging Model Trees for Classification Problems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Informatics, 2005

Modeling the Organoleptic Properties of Matured Wine Distillates.

[BibT_eX]

[DOI]

C. Raptis

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Bagging Random Trees for Estimation of Tissue Softness.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

A Fuzzy Logic-Based Approach for Detecting Shifting Patterns in Cross-Cultural Data.

[BibT_eX]

[DOI]

Dimitris Papageorgiou

Christos Kalloniatis

Proceedings of the Innovations in Applied Artificial Intelligence, 2005

Local Bagging of Decision Stumps.

[BibT_eX]

[DOI]

Proceedings of the Innovations in Applied Artificial Intelligence, 2005

Predicting Students' Marks in Hellenic Open University.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Advanced Learning Technologies, 2005

2004

A decision support prototype tool for predicting student performance in an ODL environment.

[BibT_eX]

[DOI]

Interact. Technol. Smart Educ., 2004

Predicting Students' Performance In Distance Learning Using Machine Learning Techniques.

[BibT_eX]

[DOI]

Christos Pierrakeas

Appl. Artif. Intell., 2004

A Cost Sensitive Technique for Ordinal Classification Problems.

[BibT_eX]

[DOI]

Proceedings of the Methods and Applications of Artificial Intelligence, 2004

An Online Ensemble of Classifiers.

[BibT_eX]

Proceedings of the Pattern Recognition in Information Systems, 2004

Fuzzy Clustering of Categorical Attributes and its Use in Analyzing Cultural Data.

[BibT_eX]

Dimitris Papageorgiou

Christos Kalloniatis

Proceedings of the International Conference on Computational Intelligence, 2004

A Hybrid Decision Support Tool - Using Ensemble of Classifiers.

[BibT_eX]

Proceedings of the ICEIS 2004, 2004

Increasing the Classification Accuracy of Simple Bayesian Classifier.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence: Methodology, 2004

Bagged Voting Ensembles.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence: Methodology, 2004

2003

Preventing Student Dropout in Distance Learning Using Machine Learning Techniques.

[BibT_eX]

[DOI]

Christos Pierrakeas