Sotiris B. Kotsiantis

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

Coauthor Index

1	D. Anyfantis	[30] [31]
2	Christos Kalloniatis	[5] [14]
3	Dimitris Kanellopoulos	[17] [21] [23] [24] [29]
4	M. Karagiannopoulos	[30] [31]
5	Euaggelos Koumanakos	[20] [22] [26]
6	Dimitris Papageorgiou	[5] [14]
7	Christos Pierrakeas	[1] [2]
8	Panayiotis E. Pintelas	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [19] [21] [23] [30] [31]
9	C. Raptis	[13]
10	Vasilis Tampakas	[20] [22] [26]
11	George E. Tsekouras	[5] [11] [12] [13] [14] [15]
12	Dimitris Tzelepis	[20] [22] [26]
13	I. D. Zaharakis	[19] [24]

Colors in the list of coauthors