Vassilis Tampakas

According to our database, Vassilis Tampakas authored at least 27 papers between 1998 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Improving the evaluation process of students' performance utilizing a decision support software.

Ioannis E. Livieris, Theodore Kotsilieris, Vassilis Tampakas, Panayiotis E. Pintelas

Neural Comput. Appl., 2019

A semi-supervised self-trained two-level algorithm for forecasting students' graduation time.

Ioannis E. Livieris, Vassilis Tampakas, Nikos I. Karacapilidis, Panagiotis E. Pintelas

Intell. Decis. Technol., 2019

A Weighted Voting Ensemble Self-Labeled Algorithm for the Detection of Lung Abnormalities from X-Rays.

Ioannis E. Livieris, Andreas Kanavos, Vassilis Tampakas, Panagiotis E. Pintelas

Algorithms, 2019

Employing Constrained Neural Networks for Forecasting New Product's Sales Increase.

Ioannis E. Livieris, Niki Kiriakidou, Andreas Kanavos, Gerasimos Vonitsanos, Vassilis Tampakas

Proceedings of the Artificial Intelligence Applications and Innovations, 2019

2018

A descent hybrid conjugate gradient method based on the memoryless BFGS update.

Ioannis E. Livieris, Vassilis Tampakas, Panayiotis E. Pintelas

Numer. Algorithms, 2018

An Ensemble SSL Algorithm for Efficient Chest X-Ray Image Classification.

Ioannis E. Livieris, Andreas Kanavos, Vassilis Tampakas, Panayiotis E. Pintelas

J. Imaging, 2018

CST-Voting: A semi-supervised ensemble method for classification problems.

Georgios Kostopoulos, Ioannis E. Livieris, Sotiris B. Kotsiantis, Vassilis Tampakas

J. Intell. Fuzzy Syst., 2018

On Ensemble SSL Algorithms for Credit Scoring Problem.

Ioannis E. Livieris, Niki Kiriakidou, Andreas Kanavos, Vassilis Tampakas, Panagiotis E. Pintelas

Informatics, 2018

Large Scale Product Recommendation of Supermarket Ware Based on Customer Behaviour Analysis.

Andreas Kanavos, Stavros Anastasios Iakovou, Spyros Sioutas, Vassilis Tampakas

Big Data Cogn. Comput., 2018

An Auto-Adjustable Semi-Supervised Self-Training Algorithm.

Ioannis E. Livieris, Andreas Kanavos, Vassilis Tampakas, Panayiotis E. Pintelas

Algorithms, 2018

Prediction of Students' Graduation Time Using a Two-Level Classification Algorithm.

Vassilis Tampakas, Ioannis E. Livieris, Emmanuel Pintelas, Nikos I. Karacapilidis, Panagiotis E. Pintelas

Proceedings of the Technology and Innovation in Learning, Teaching and Education, 2018

Forecasting Students' Performance Using an Ensemble SSL Algorithm.

Ioannis E. Livieris, Vassilis Tampakas, Niki Kiriakidou, Tassos A. Mikropoulos, Panagiotis E. Pintelas

Proceedings of the Technology and Innovation in Learning, Teaching and Education, 2018

Performance Evaluation of an SSL Algorithm for Forecasting the Dow Jones Index Stocks.

Ioannis E. Livieris, Andreas Kanavos, Gerasimos Vonitsanos, Niki Kiriakidou, Anastasios Vikatos, Konstantinos C. Giotopoulos, Vassilis Tampakas

Proceedings of the 9th International Conference on Information, 2018

Argumentative Discourse Concepts as Revealed by Traversing a Graph.

Panagiotis Gourgaris, Andreas Kanavos, Nikos I. Karacapilidis, Vassilis Tampakas

Proceedings of the Artificial Intelligence Applications and Innovations, 2018

2017

A hybrid conjugate gradient method based on the self-scaled memoryless BFGS update.

Ioannis E. Livieris, Stamatis Karlos, Vassilis Tampakas, Panagiotis E. Pintelas

Proceedings of the 21st Pan-Hellenic Conference on Informatics, 2017

Enhancing high school students' performance based on semi-supervised methods.

Georgios Kostopoulos, Ioannis E. Livieris, Sotiris Kotsiantis, Vassilis Tampakas

Proceedings of the 8th International Conference on Information, 2017

DSS-PSP - A Decision Support Software for Evaluating Students' Performance.

Ioannis E. Livieris, Konstantina Drakopoulou, Thodoris Kotsilieris, Vassilis Tampakas, Panagiotis E. Pintelas

Proceedings of the Engineering Applications of Neural Networks, 2017

Using Active Learning Methods for Predicting Fraudulent Financial Statements.

Stamatis Karlos, Georgios Kostopoulos, Sotiris Kotsiantis, Vassilis Tampakas

Proceedings of the Engineering Applications of Neural Networks, 2017

Evaluating Active Learning Methods for Bankruptcy Prediction.

Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Vassilis Tampakas

Proceedings of the Brain Function Assessment in Learning - First International Conference, 2017

2010

Financial Application of Multi-Instance Learning: Two Greek Case Studies.

Sotiris B. Kotsiantis, Dimitris Kanellopoulos, Vasilis Tampakas

J. Convergence Inf. Technol., 2010

2007

Selective costing voting for bankruptcy prediction.

Sotiris B. Kotsiantis, Dimitris Tzelepis, Euaggelos Koumanakos, Vasilis Tampakas

Int. J. Knowl. Based Intell. Eng. Syst., 2007

Towards an ontology-based system for intelligent prediction of firms with fraudulent financial statements.

Dimitris Kanellopoulos, Sotiris B. Kotsiantis, Vasilis Tampakas

Proceedings of 12th IEEE International Conference on Emerging Technologies and Factory Automation, 2007

2006

Predicting Fraudulent Financial Statements with Machine Learning Techniques.

Sotiris B. Kotsiantis, Euaggelos Koumanakos, Dimitris Tzelepis, Vasilis Tampakas

Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006

Financial Application of Neural Networks: Two Case Studies in Greece.

Sotiris B. Kotsiantis, Euaggelos Koumanakos, Dimitris Tzelepis, Vasilis Tampakas

Proceedings of the Artificial Neural Networks, 2006

1999

Fundamental Control Algorithms in Mobile Networks.

Kostas P. Hatzis, George P. Pentaris, Paul G. Spirakis, Vasilis T. Tampakas, Richard B. Tan

Proceedings of the Eleventh Annual ACM Symposium on Parallel Algorithms and Architectures, 1999

Fundamental Distributed Protocols in Mobile Networks.

Kostas P. Hatzis, George P. Pentaris, Paul G. Spirakis, Vasilis T. Tampakas, Richard B. Tan

Proceedings of the Eighteenth Annual ACM Symposium on Principles of Distributed Computing, 1999

1998

Implementation and Testing Eavesdropper Protocols Using the DSP Tool.

Kostas P. Hatzis, George P. Pentaris, Paul G. Spirakis, Vasilis T. Tampakas

Proceedings of the Algorithm Engineering, 2nd International Workshop, 1998