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Sotiris B. Kotsiantis: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Sotiris B. Kotsiantis, Panayiotis E. Pintelas
    Bagged Voting Ensembles. [Citation Graph (0, 0)][DBLP]
    AIMSA, 2004, pp:168-177 [Conf]
  2. Sotiris B. Kotsiantis, Panayiotis E. Pintelas
    Increasing the Classification Accuracy of Simple Bayesian Classifier. [Citation Graph (0, 0)][DBLP]
    AIMSA, 2004, pp:198-207 [Conf]
  3. Dimitris Kanellopoulos, Sotiris B. Kotsiantis, Panayiotis E. Pintelas
    Ontology-based Learning Applications: A Development Methodology. [Citation Graph (0, 0)][DBLP]
    IASTED Conf. on Software Engineering, 2006, pp:27-32 [Conf]
  4. Sotiris B. Kotsiantis, Panayiotis E. Pintelas
    Predicting Students' Marks in Hellenic Open University. [Citation Graph (0, 0)][DBLP]
    ICALT, 2005, pp:664-668 [Conf]
  5. Sotiris B. Kotsiantis, Euaggelos Koumanakos, Dimitris Tzelepis, Vasilis Tampakas
    Financial Application of Neural Networks: Two Case Studies in Greece. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2006, pp:672-681 [Conf]
  6. Sotiris B. Kotsiantis, Panayiotis E. Pintelas
    A Hybrid Decision Support Tool - Using Ensemble of Classifiers. [Citation Graph (0, 0)][DBLP]
    ICEIS (2), 2004, pp:448-456 [Conf]
  7. Sotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas
    Local Bagging of Decision Stumps. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2005, pp:406-411 [Conf]
  8. George E. Tsekouras, Dimitris Papageorgiou, Sotiris B. Kotsiantis, Christos Kalloniatis, Panayiotis E. Pintelas
    A Fuzzy Logic-Based Approach for Detecting Shifting Patterns in Cross-Cultural Data. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2005, pp:705-708 [Conf]
  9. Sotiris B. Kotsiantis
    Local Ordinal Classification. [Citation Graph (0, 0)][DBLP]
    AIAI, 2006, pp:1-8 [Conf]
  10. Sotiris B. Kotsiantis, Dimitris Kanellopoulos, I. D. Zaharakis
    Bagged Averaging of Regression Models. [Citation Graph (0, 0)][DBLP]
    AIAI, 2006, pp:53-60 [Conf]
  11. George E. Tsekouras, Dimitris Papageorgiou, Sotiris B. Kotsiantis, Christos Kalloniatis, Panayiotis E. Pintelas
    Fuzzy Clustering of Categorical Attributes and its Use in Analyzing Cultural Data. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Intelligence, 2004, pp:202-206 [Conf]
  12. Sotiris B. Kotsiantis, Christos Pierrakeas, Panayiotis E. Pintelas
    Preventing Student Dropout in Distance Learning Using Machine Learning Techniques. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:267-274 [Conf]
  13. Sotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas
    Bagging Random Trees for Estimation of Tissue Softness. [Citation Graph (0, 0)][DBLP]
    MLDM, 2005, pp:674-681 [Conf]
  14. Sotiris B. Kotsiantis, George E. Tsekouras, C. Raptis, Panayiotis E. Pintelas
    Modeling the Organoleptic Properties of Matured Wine Distillates. [Citation Graph (0, 0)][DBLP]
    MLDM, 2005, pp:667-673 [Conf]
  15. Sotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas
    Bagging Model Trees for Classification Problems. [Citation Graph (0, 0)][DBLP]
    Panhellenic Conference on Informatics, 2005, pp:328-337 [Conf]
  16. Sotiris B. Kotsiantis, Panayiotis E. Pintelas
    An Online Ensemble of Classifiers. [Citation Graph (0, 0)][DBLP]
    PRIS, 2004, pp:59-68 [Conf]
  17. Sotiris B. Kotsiantis, Panayiotis E. Pintelas
    A Cost Sensitive Technique for Ordinal Classification Problems. [Citation Graph (0, 0)][DBLP]
    SETN, 2004, pp:220-229 [Conf]
  18. Sotiris B. Kotsiantis, Dimitris Kanellopoulos, Panayiotis E. Pintelas
    Local Additive Regression of Decision Stumps. [Citation Graph (0, 0)][DBLP]
    SETN, 2006, pp:148-157 [Conf]
  19. Sotiris B. Kotsiantis, Euaggelos Koumanakos, Dimitris Tzelepis, Vasilis Tampakas
    Predicting Fraudulent Financial Statements with Machine Learning Techniques. [Citation Graph (0, 0)][DBLP]
    SETN, 2006, pp:538-542 [Conf]
  20. Sotiris B. Kotsiantis, Christos Pierrakeas, Panayiotis E. Pintelas
    Predicting Students' Performance In Distance Learning Using Machine Learning Techniques. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 2004, v:18, n:5, pp:411-426 [Journal]
  21. Sotiris B. Kotsiantis
    Local averaging of heterogeneous regression models. [Citation Graph (0, 0)][DBLP]
    Int. J. Hybrid Intell. Syst., 2006, v:3, n:2, pp:99-107 [Journal]
  22. Sotiris B. Kotsiantis, Panayiotis E. Pintelas
    Logitboost of Simple Bayesian Classifier. [Citation Graph (0, 0)][DBLP]
    Informatica (Slovenia), 2005, v:29, n:1, pp:53-60 [Journal]
  23. Sotiris B. Kotsiantis, Dimitris Kanellopoulos
    Combining Bagging, Boosting and Dagging for Classification Problems. [Citation Graph (0, 0)][DBLP]
    KES (2), 2007, pp:493-500 [Conf]

  24. Robustness of learning techniques in handling class noise in imbalanced datasets. [Citation Graph (, )][DBLP]


  25. A Wrapper for Reweighting Training Instances for Handling Imbalanced Data Sets. [Citation Graph (, )][DBLP]


  26. Local Grading of Learners. [Citation Graph (, )][DBLP]


  27. Stacking Cost Sensitive Models. [Citation Graph (, )][DBLP]


  28. Applying Machine Learning Techniques for Environmental Reporting. [Citation Graph (, )][DBLP]


  29. Machine learning: a review of classification and combining techniques. [Citation Graph (, )][DBLP]


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