Text classification using machine learning techniques. M Ikonomakis, S Kotsiantis, V Tampakas WSEAS transactions on computers 4 (8), 966-974, 2005 | 802 | 2005 |
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 | 293 | 2006 |
Fundamental control algorithms in mobile networks KP Hatzis, GP Pentaris, PG Spirakis, VT Tampakas, RB Tan Proceedings of the eleventh annual ACM symposium on Parallel algorithms and …, 1999 | 165 | 1999 |
Predicting secondary school students' performance utilizing a semi-supervised learning approach IE Livieris, K Drakopoulou, VT Tampakas, TA Mikropoulos, P Pintelas Journal of educational computing research 57 (2), 448-470, 2019 | 120 | 2019 |
A weighted voting ensemble self-labeled algorithm for the detection of lung abnormalities from X-rays IE Livieris, A Kanavos, V Tampakas, P Pintelas Algorithms 12 (3), 64, 2019 | 61 | 2019 |
An ensemble SSL algorithm for efficient chest X-ray image classification IE Livieris, A Kanavos, V Tampakas, P Pintelas Journal of Imaging 4 (7), 95, 2018 | 47 | 2018 |
A descent hybrid conjugate gradient method based on the memoryless BFGS update IE Livieris, V Tampakas, P Pintelas Numerical Algorithms 79, 1169-1185, 2018 | 42 | 2018 |
Improving the evaluation process of students’ performance utilizing a decision support software IE Livieris, T Kotsilieris, V Tampakas, P Pintelas Neural Computing and Applications 31, 1683-1694, 2019 | 35 | 2019 |
Prediction of students’ graduation time using a two-level classification algorithm V Tampakas, IE Livieris, E Pintelas, N Karacapilidis, P Pintelas Technology and Innovation in Learning, Teaching and Education: First …, 2019 | 35 | 2019 |
Predicting fraudulent financial statements with machine learning techniques S Kotsiantis, E Koumanakos, D Tzelepis, V Tampakas Hellenic Conference on Artificial Intelligence, 538-542, 2006 | 35 | 2006 |
Efficiency of machine learning techniques in bankruptcy prediction S Kotsiantis, D Tzelepis, E Koumanakos, V Tampakas 2nd International Conference on Enterprise Systems and Accounting, 39-49, 2005 | 34 | 2005 |
Integrating activity‐based costing with simulation and data mining H Kostakis, C Sarigiannidis, B Boutsinas, K Varvakis, V Tampakas International Journal of Accounting & Information Management 16 (1), 25-35, 2008 | 30 | 2008 |
Large scale product recommendation of supermarket ware based on customer behaviour analysis A Kanavos, SA Iakovou, S Sioutas, V Tampakas Big Data and Cognitive Computing 2 (2), 11, 2018 | 29 | 2018 |
Text classification: a recent overview M Ikonomakis, S Kotsiantis, V Tampakas Proceedings of the 9th WSEAS International Conference on Computers, 125, 2005 | 26 | 2005 |
An auto-adjustable semi-supervised self-training algorithm IE Livieris, A Kanavos, V Tampakas, P Pintelas Algorithms 11 (9), 139, 2018 | 25 | 2018 |
DSS-PSP-a decision support software for evaluating students’ performance IE Livieris, K Drakopoulou, T Kotsilieris, V Tampakas, P Pintelas Engineering Applications of Neural Networks: 18th International Conference …, 2017 | 25 | 2017 |
Selective costing voting for bankruptcy prediction S Kotsiantis, D Tzelepis, E Koumanakos, V Tampakas International Journal of Knowledge-based and Intelligent Engineering Systems …, 2007 | 22 | 2007 |
Parallel text retrieval on a high performance supercomputer using the vector space model P Efraimidis, C Glymidakis, B Mamalis, P Spirakis, B Tampakas Proceedings of the 18th annual international ACM SIGIR conference on …, 1995 | 22 | 1995 |
On ensemble SSL algorithms for credit scoring problem IE Livieris, N Kiriakidou, A Kanavos, V Tampakas, P Pintelas Informatics 5 (4), 40, 2018 | 20 | 2018 |
An ontology-based portal for credit risk analysis SB Kotsiantis, D Kanellopoulos, V Karioti, V Tampakas 2009 2nd IEEE international conference on computer science and information …, 2009 | 18 | 2009 |