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Sotiris B. Kotsiantis Vis

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*2008
36EESotiris B. Kotsiantis: Local Grading of Learners. Panhellenic Conference on Informatics 2008: 209-213
35EESotiris B. Kotsiantis: Stacking Cost Sensitive Models. Panhellenic Conference on Informatics 2008: 217-221
34EESotiris B. Kotsiantis: Handling imbalanced data sets with a modification of Decorate algorithm. IJCAT 33(2/3): 91-98 (2008)
33EESotiris B. Kotsiantis: Locally application of cascade generalization for classification problems. Intelligent Decision Technologies 2(4): 239-246 (2008)
2007
32EED. Anyfantis, M. Karagiannopoulos, Sotiris B. Kotsiantis, Panayiotis E. Pintelas: Robustness of learning techniques in handling class noise in imbalanced datasets. AIAI 2007: 21-28
31EEM. Karagiannopoulos, D. Anyfantis, Sotiris B. Kotsiantis, Panayiotis E. Pintelas: A Wrapper for Reweighting Training Instances for Handling Imbalanced Data Sets. AIAI 2007: 29-36
30EESotiris B. Kotsiantis, Dimitris Kanellopoulos: Combining Bagging, Boosting and Dagging for Classification Problems. KES (2) 2007: 493-500
29 Sotiris B. Kotsiantis: Supervised Machine Learning: A Review of Classification Techniques. Emerging Artificial Intelligence Applications in Computer Engineering 2007: 3-24
28EESotiris B. Kotsiantis: Credit risk analysis using a hybrid data mining model. IJISTA 2(4): 345-356 (2007)
27EESotiris B. Kotsiantis: Supervised Machine Learning: A Review of Classification Techniques. Informatica (Slovenia) 31(3): 249-268 (2007)
26EESotiris B. Kotsiantis, Dimitris Tzelepis, Euaggelos Koumanakos, Vasilis Tampakas: Selective costing voting for bankruptcy prediction. KES Journal 11(2): 115-127 (2007)
2006
25EESotiris B. Kotsiantis: Local Ordinal Classification. AIAI 2006: 1-8
24EESotiris B. Kotsiantis, Dimitris Kanellopoulos, Ioannis D. Zaharakis: Bagged Averaging of Regression Models. AIAI 2006: 53-60
23 Dimitris Kanellopoulos, Sotiris B. Kotsiantis, Panayiotis E. Pintelas: Ontology-based Learning Applications: A Development Methodology. IASTED Conf. on Software Engineering 2006: 27-32
22EESotiris B. Kotsiantis, Euaggelos Koumanakos, Dimitris Tzelepis, Vasilis Tampakas: Financial Application of Neural Networks: Two Case Studies in Greece. ICANN (2) 2006: 672-681
21EESotiris B. Kotsiantis, Dimitris Kanellopoulos, Panayiotis E. Pintelas: Local Additive Regression of Decision Stumps. SETN 2006: 148-157
20EESotiris B. Kotsiantis, Euaggelos Koumanakos, Dimitris Tzelepis, Vasilis Tampakas: Predicting Fraudulent Financial Statements with Machine Learning Techniques. SETN 2006: 538-542
19EESotiris B. Kotsiantis, Ioannis D. Zaharakis, Panayiotis E. Pintelas: Machine learning: a review of classification and combining techniques. Artif. Intell. Rev. 26(3): 159-190 (2006)
18EESotiris B. Kotsiantis: Local averaging of heterogeneous regression models. Int. J. Hybrid Intell. Syst. 3(2): 99-107 (2006)
17EESotiris B. Kotsiantis, Dimitris Kanellopoulos, Panayiotis E. Pintelas: Local Boosting of Decision Stumps for Regression and Classification Problems. JCP 1(4): 30-37 (2006)
2005
16EESotiris B. Kotsiantis, Panayiotis E. Pintelas: Predicting Students' Marks in Hellenic Open University. ICALT 2005: 664-668
15EESotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas: Local Bagging of Decision Stumps. IEA/AIE 2005: 406-411
14EEGeorge 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. IEA/AIE 2005: 705-708
13EESotiris B. Kotsiantis, George E. Tsekouras, C. Raptis, Panayiotis E. Pintelas: Modeling the Organoleptic Properties of Matured Wine Distillates. MLDM 2005: 667-673
12EESotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas: Bagging Random Trees for Estimation of Tissue Softness. MLDM 2005: 674-681
11EESotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas: Bagging Model Trees for Classification Problems. Panhellenic Conference on Informatics 2005: 328-337
10EESotiris B. Kotsiantis, Panayiotis E. Pintelas: Logitboost of Simple Bayesian Classifier. Informatica (Slovenia) 29(1): 53-60 (2005)
9EESotiris B. Kotsiantis, Panayiotis E. Pintelas: Local voting of weak classifiers. KES Journal 9(3): 239-248 (2005)
2004
8EESotiris B. Kotsiantis, Panayiotis E. Pintelas: Bagged Voting Ensembles. AIMSA 2004: 168-177
7EESotiris B. Kotsiantis, Panayiotis E. Pintelas: Increasing the Classification Accuracy of Simple Bayesian Classifier. AIMSA 2004: 198-207
6 Sotiris B. Kotsiantis, Panayiotis E. Pintelas: A Hybrid Decision Support Tool - Using Ensemble of Classifiers. ICEIS (2) 2004: 448-456
5 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. International Conference on Computational Intelligence 2004: 202-206
4 Sotiris B. Kotsiantis, Panayiotis E. Pintelas: An Online Ensemble of Classifiers. PRIS 2004: 59-68
3EESotiris B. Kotsiantis, Panayiotis E. Pintelas: A Cost Sensitive Technique for Ordinal Classification Problems. SETN 2004: 220-229
2EESotiris B. Kotsiantis, Christos Pierrakeas, Panayiotis E. Pintelas: Predicting Students' Performance In Distance Learning Using Machine Learning Techniques. Applied Artificial Intelligence 18(5): 411-426 (2004)
2003
1EESotiris B. Kotsiantis, Christos Pierrakeas, Panayiotis E. Pintelas: Preventing Student Dropout in Distance Learning Using Machine Learning Techniques. KES 2003: 267-274

Coauthor Index

1D. Anyfantis [31] [32]
2Christos Kalloniatis [5] [14]
3Dimitris Kanellopoulos [17] [21] [23] [24] [30]
4M. Karagiannopoulos [31] [32]
5Euaggelos Koumanakos [20] [22] [26]
6Dimitris Papageorgiou [5] [14]
7Christos Pierrakeas [1] [2]
8Panayiotis E. Pintelas [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [19] [21] [23] [31] [32]
9C. Raptis [13]
10Vasilis Tampakas [20] [22] [26]
11George E. Tsekouras [5] [11] [12] [13] [14] [15]
12Dimitris Tzelepis [20] [22] [26]
13Ioannis D. Zaharakis [19] [24]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)