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Journal Articles
- 2019
[j11]Ioannis E. Livieris
, Andreas Kanavos, Vassilis Tampakas, Panagiotis E. Pintelas:
A Weighted Voting Ensemble Self-Labeled Algorithm for the Detection of Lung Abnormalities from X-Rays. Algorithms 12(3): 64 (2019)- [j10]Ioannis E. Livieris, Vassilis Tampakas, Nikos I. Karacapilidis, Panagiotis E. Pintelas:
A semi-supervised self-trained two-level algorithm for forecasting students' graduation time. Intell. Decis. Technol. 13(3): 367-378 (2019) - [j9]Ioannis E. Livieris, Theodore Kotsilieris, Vassilis Tampakas, Panayiotis E. Pintelas:
Improving the evaluation process of students' performance utilizing a decision support software. Neural Comput. Appl. 31(6): 1683-1694 (2019) - 2018
- [j8]Ioannis E. Livieris, Andreas Kanavos, Vassilis Tampakas, Panayiotis E. Pintelas:
An Auto-Adjustable Semi-Supervised Self-Training Algorithm. Algorithms 11(9): 139 (2018) - [j7]Andreas Kanavos, Stavros Anastasios Iakovou, Spyros Sioutas, Vassilis Tampakas:
Large Scale Product Recommendation of Supermarket Ware Based on Customer Behaviour Analysis. Big Data Cogn. Comput. 2(2): 11 (2018) - [j6]Ioannis E. Livieris, Niki Kiriakidou, Andreas Kanavos, Vassilis Tampakas, Panagiotis E. Pintelas:
On Ensemble SSL Algorithms for Credit Scoring Problem. Informatics 5(4): 40 (2018) - [j5]Georgios Kostopoulos, Ioannis E. Livieris, Sotiris B. Kotsiantis, Vassilis Tampakas:
CST-Voting: A semi-supervised ensemble method for classification problems. J. Intell. Fuzzy Syst. 35(1): 99-109 (2018) - [j4]Ioannis E. Livieris, Andreas Kanavos, Vassilis Tampakas, Panayiotis E. Pintelas:
An Ensemble SSL Algorithm for Efficient Chest X-Ray Image Classification. J. Imaging 4(7): 95 (2018) - [j3]Ioannis E. Livieris, Vassilis Tampakas, Panayiotis E. Pintelas:
A descent hybrid conjugate gradient method based on the memoryless BFGS update. Numer. Algorithms 79(4): 1169-1185 (2018) - 2010
- [j2]Sotiris B. Kotsiantis, Dimitris Kanellopoulos, Vasilis Tampakas:
Financial Application of Multi-Instance Learning: Two Greek Case Studies. J. Convergence Inf. Technol. 5(8): 42-53 (2010) - 2007
- [j1]Sotiris B. Kotsiantis, Dimitris Tzelepis, Euaggelos Koumanakos, Vasilis Tampakas:
Selective costing voting for bankruptcy prediction. Int. J. Knowl. Based Intell. Eng. Syst. 11(2): 115-127 (2007)
Conference and Workshop Papers
- 2019
- [c16]Ioannis E. Livieris, Niki Kiriakidou, Andreas Kanavos, Gerasimos Vonitsanos, Vassilis Tampakas:
Employing Constrained Neural Networks for Forecasting New Product's Sales Increase. AIAI (Workshops) 2019: 161-172 - 2018
- [c15]Panagiotis Gourgaris, Andreas Kanavos, Nikos I. Karacapilidis, Vassilis Tampakas:
Argumentative Discourse Concepts as Revealed by Traversing a Graph. AIAI (Workshops) 2018: 123-132 - [c14]Ioannis E. Livieris, Andreas Kanavos, Gerasimos Vonitsanos, Niki Kiriakidou, Anastasios Vikatos, Konstantinos C. Giotopoulos, Vassilis Tampakas:
Performance Evaluation of an SSL Algorithm for Forecasting the Dow Jones Index Stocks. IISA 2018: 1-8 - [c13]Vassilis Tampakas, Ioannis E. Livieris, Emmanuel Pintelas, Nikos I. Karacapilidis, Panagiotis P. Pintelas:
Prediction of Students' Graduation Time Using a Two-Level Classification Algorithm. TECH-EDU 2018: 553-565 - [c12]Ioannis E. Livieris, Vassilis Tampakas, Niki Kiriakidou, Tassos A. Mikropoulos, Panagiotis E. Pintelas:
Forecasting Students' Performance Using an Ensemble SSL Algorithm. TECH-EDU 2018: 566-581 - 2017
- [c11]Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Vassilis Tampakas:
Evaluating Active Learning Methods for Bankruptcy Prediction. BFAL 2017: 57-66 - [c10]Ioannis E. Livieris, Konstantina Drakopoulou, Thodoris Kotsilieris, Vassilis Tampakas, Panagiotis E. Pintelas:
DSS-PSP - A Decision Support Software for Evaluating Students' Performance. EANN 2017: 63-74 - [c9]Stamatis Karlos, Georgios Kostopoulos, Sotiris Kotsiantis, Vassilis Tampakas:
Using Active Learning Methods for Predicting Fraudulent Financial Statements. EANN 2017: 351-362 - [c8]Georgios Kostopoulos, Ioannis E. Livieris, Sotiris Kotsiantis, Vassilis Tampakas:
Enhancing high school students' performance based on semi-supervised methods. IISA 2017: 1-6 - [c7]Ioannis E. Livieris, Stamatis Karlos, Vassilis Tampakas, Panagiotis E. Pintelas:
A hybrid conjugate gradient method based on the self-scaled memoryless BFGS update. PCI 2017: 21:1-21:5 - 2007
- [c6]Dimitris Kanellopoulos, Sotiris B. Kotsiantis, Vasilis Tampakas:
Towards an ontology-based system for intelligent prediction of firms with fraudulent financial statements. ETFA 2007: 1300-1307 - 2006
- [c5]Sotiris B. Kotsiantis, Euaggelos Koumanakos, Dimitris Tzelepis, Vasilis Tampakas:
Financial Application of Neural Networks: Two Case Studies in Greece. ICANN (2) 2006: 672-681 - [c4]Sotiris B. Kotsiantis, Euaggelos Koumanakos, Dimitris Tzelepis, Vasilis Tampakas:
Predicting Fraudulent Financial Statements with Machine Learning Techniques. SETN 2006: 538-542 - 1999
- [c3]Kostas P. Hatzis, George P. Pentaris, Paul G. Spirakis, Vasilis T. Tampakas, Richard B. Tan:
Fundamental Distributed Protocols in Mobile Networks. PODC 1999: 274 - [c2]Kostas P. Hatzis, George P. Pentaris, Paul G. Spirakis, Vasilis T. Tampakas, Richard B. Tan:
Fundamental Control Algorithms in Mobile Networks. SPAA 1999: 251-260 - 1998
- [c1]Kostas P. Hatzis, George P. Pentaris, Paul G. Spirakis, Vasilis T. Tampakas:
Implementation and Testing Eavesdropper Protocols Using the DSP Tool. WAE 1998: 74-85
Editorship
- 2017
- [e1]Vasileios Vlachos, Ilias K. Savvas, Cleo Sgouropoulou, Vassilis P. Plagianakos, Christos Douligeris, Ioannis Voyiatzis, Vassilis Tampakas, George Soultis:
Proceedings of the 21st Pan-Hellenic Conference on Informatics, Larissa, Greece, September 28-30, 2017. ACM 2017, ISBN 978-1-4503-5355-7 [contents]
Coauthor Index
aka: Panagiotis E. Pintelas
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