Vasilis Tampakas
Vasilis Tampakas
Professor, Department of Electrical and Computer Engineering, University of Peloponnesus
Verified email at uop.gr
Title
Cited by
Cited by
Year
Text classification using machine learning techniques.
M Ikonomakis, S Kotsiantis, V Tampakas
WSEAS transactions on computers 4 (8), 966-974, 2005
3862005
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
1662006
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
1391999
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
282019
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
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
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
202018
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
182005
Selective costing voting for bankruptcy prediction
S Kotsiantis, D Tzelepis, E Koumanakos, V Tampakas
International Journal of Knowledge-based and Intelligent Engineering Systems …, 2007
172007
Text classification: a recent overview
M Ikonomakis, S Kotsiantis, V Tampakas
Proceedings of the 9th WSEAS International Conference on Computers, 1-6, 2005
142005
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
122010
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
122009
Predicting fraudulent financial statements with machine learning techniques
S Kotsiantis, E Koumanakos, D Tzelepis, V Tampakas
Hellenic Conference on Artificial Intelligence, 538-542, 2006
122006
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
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
112017
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
92019
An auto-adjustable semi-supervised self-training algorithm
IE Livieris, A Kanavos, V Tampakas, P Pintelas
Algorithms 11 (9), 139, 2018
92018
Tentative and definite distributed computations: an optimistic approach to network synchronization
J Garofalakis, P Spirakis, B Tampakas, S Rajsbaum
Theoretical computer science 128 (1-2), 63-74, 1994
91994
Efficient distributed algorithms by using the Archimedean time assumption
P Spirakis, B Tampakas
Annual Symposium on Theoretical Aspects of Computer Science, 248-263, 1988
91988
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
82018
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Articles 1–20