Supervised machine learning: a review of classification techniques. SB Kotsiantis Informatica (03505596) 31 (3), 2007 | 7590 | 2007 |
Explainable AI: A Review of Machine Learning Interpretability Methods P Linardatos, V Papastefanopoulos, S Kotsiantis Entropy 23 (1), 18, 2021 | 1967 | 2021 |
Machine learning: a review of classification and combining techniques SB Kotsiantis, ID Zaharakis, PE Pintelas Artificial Intelligence Review 26 (3), 159-190, 2006 | 1740 | 2006 |
Data preprocessing for supervised leaning SB Kotsiantis, D Kanellopoulos, PE Pintelas International Journal of Computer Science 1 (2), 111-117, 2006 | 1548 | 2006 |
Decision trees: a recent overview SB Kotsiantis Artificial Intelligence Review 39 (4), 261-283, 2013 | 1537 | 2013 |
Handling imbalanced datasets: A review S Kotsiantis, D Kanellopoulos, P Pintelas GESTS International Transactions on Computer Science and Engineering 30 (1 …, 2006 | 1394 | 2006 |
Association rules mining: A recent overview S Kotsiantis, D Kanellopoulos GESTS International Transactions on Computer Science and Engineering 32 (1 …, 2006 | 866 | 2006 |
Text classification using machine learning techniques. M Ikonomakis, S Kotsiantis, V Tampakas WSEAS Transactions on Computers 4 (8), 966-974, 2005 | 778 | 2005 |
Discretization techniques: A recent survey S Kotsiantis, D Kanellopoulos GESTS International Transactions on Computer Science and Engineering 32 (1 …, 2006 | 618 | 2006 |
PREDICTING STUDENTS'PERFORMANCE IN DISTANCE LEARNING USING MACHINE LEARNING TECHNIQUES S Kotsiantis, C Pierrakeas, P Pintelas Applied Artificial Intelligence 18 (5), 411-426, 2004 | 414 | 2004 |
Preventing student dropout in distance learning using machine learning techniques SB Kotsiantis, CJ Pierrakeas, PE Pintelas Knowledge-Based Intelligent Information and Engineering Systems: 7th …, 2003 | 377 | 2003 |
Recent advances in clustering: A brief survey S Kotsiantis, P Pintelas WSEAS Transactions on Information Science and Applications 1 (1), 73-81, 2004 | 320 | 2004 |
Use of machine learning techniques for educational proposes: a decision support system for forecasting students’ grades SB Kotsiantis Artificial Intelligence Review 37, 331-344, 2012 | 288 | 2012 |
Forecasting fraudulent financial statements using data mining S Kotsiantis, E Koumanakos, D Tzelepis, V Tampakas International Journal of Computational Intelligence 3 (2), 104-110, 2006 | 282 | 2006 |
Feature selection for regression problems M Karagiannopoulos, D Anyfantis, SB Kotsiantis, PE Pintelas Proceedings of HERCMA’07, 2007 | 244* | 2007 |
A combinational incremental ensemble of classifiers as a technique for predicting students’ performance in distance education S Kotsiantis, K Patriarcheas, M Xenos Knowledge-Based Systems 23 (6), 529-535, 2010 | 243 | 2010 |
Combining bagging and boosting S Kotsiantis, P Pintelas International Journal of Computational Intelligence 1 (4), 324-333, 2004 | 208 | 2004 |
COVID-19: A Comparison of Time Series Methods to Forecast Percentage of Active Cases per Population V Papastefanopoulos, P Linardatos, S Kotsiantis Applied Sciences 10 (11), 3880, 2020 | 204 | 2020 |
Mixture of expert agents for handling imbalanced data sets SB Kotsiantis, PE Pintelas Annals of Mathematics, Computing & Teleinformatics 1 (1), 46-55, 2003 | 197 | 2003 |
Combining bagging, boosting, rotation forest and random subspace methods S Kotsiantis Artificial intelligence review 35, 223-240, 2011 | 175 | 2011 |