Παρακολούθηση
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
7832005
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
2892006
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
1651999
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
1172019
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
592019
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
442018
A descent hybrid conjugate gradient method based on the memoryless BFGS update
IE Livieris, V Tampakas, P Pintelas
Numerical Algorithms 79, 1169-1185, 2018
402018
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
352019
Predicting fraudulent financial statements with machine learning techniques
S Kotsiantis, E Koumanakos, D Tzelepis, V Tampakas
Hellenic Conference on Artificial Intelligence, 538-542, 2006
352006
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
332005
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
322019
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
302008
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
262018
Text classification: a recent overview
M Ikonomakis, S Kotsiantis, V Tampakas
Proceedings of the 9th WSEAS International Conference on Computers, 125, 2005
262005
An auto-adjustable semi-supervised self-training algorithm
IE Livieris, A Kanavos, V Tampakas, P Pintelas
Algorithms 11 (9), 139, 2018
252018
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
252017
Selective costing voting for bankruptcy prediction
S Kotsiantis, D Tzelepis, E Koumanakos, V Tampakas
International Journal of Knowledge-based and Intelligent Engineering Systems …, 2007
222007
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
221995
On ensemble SSL algorithms for credit scoring problem
IE Livieris, N Kiriakidou, A Kanavos, V Tampakas, P Pintelas
Informatics 5 (4), 40, 2018
202018
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
182009
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