Vasilis Tampakas
Vasilis Tampakas
Professor, Department of Electrical and Computer Engineering, University of Peloponnesus
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα uop.gr
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Text classification using machine learning techniques.
M Ikonomakis, S Kotsiantis, V Tampakas
WSEAS transactions on computers 4 (8), 966-974, 2005
4572005
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
2112006
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
1491999
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
362019
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, 2008
252008
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
232005
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
222018
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
211995
Selective costing voting for bankruptcy prediction
S Kotsiantis, D Tzelepis, E Koumanakos, V Tampakas
International Journal of Knowledge-based and Intelligent Engineering Systems …, 2007
192007
Predicting fraudulent financial statements with machine learning techniques
S Kotsiantis, E Koumanakos, D Tzelepis, V Tampakas
Hellenic Conference on Artificial Intelligence, 538-542, 2006
172006
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
152019
A descent hybrid conjugate gradient method based on the memoryless BFGS update
IE Livieris, V Tampakas, P Pintelas
Numerical Algorithms 79 (4), 1169-1185, 2018
152018
Text classification: a recent overview
M Ikonomakis, S Kotsiantis, V Tampakas
Proceedings of the 9th WSEAS International Conference on Computers, 125, 2005
152005
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
142009
An auto-adjustable semi-supervised self-training algorithm
IE Livieris, A Kanavos, V Tampakas, P Pintelas
Algorithms 11 (9), 139, 2018
132018
DSS-PSP-a decision support software for evaluating students’ performance
IE Livieris, K Drakopoulou, T Kotsilieris, V Tampakas, P Pintelas
International Conference on Engineering Applications of Neural Networks, 63-74, 2017
132017
Financial Application of Multi-Instance Learning: Two Greek Case Studies.
SB Kotsiantis, D Kanellopoulos, V Tampakas
J. Convergence Inf. Technol. 5 (8), 42-53, 2010
132010
CST-Voting: A semi-supervised ensemble method for classification problems
G Kostopoulos, IE Livieris, S Kotsiantis, V Tampakas
Journal of Intelligent & Fuzzy Systems 35 (1), 99-109, 2018
122018
On implementing a financial decision support system
S Kotsiantis, D Kanellopoulos, V Tampakas
International Journal of Computer Science and Network Security 6 (1a), 103-112, 2006
122006
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 (6), 1683-1694, 2019
112019
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