Implementation and Testing Eavesdropper Protocols Using the DSP Tool. - Kostas P. Hatzis; George P. Pentaris; Paul G. Spirakis; Vasilis T. Tampakas (WAE, 1998)

Fundamental Distributed Protocols in Mobile Networks. - Kostas P. Hatzis; George P. Pentaris; Paul G. Spirakis; Vasilis T. Tampakas; Richard B. Tan (PODC, 1999)

Fundamental Control Algorithms in Mobile Networks. - Kostas P. Hatzis; George P. Pentaris; Paul G. Spirakis; Vasilis T. Tampakas; Richard B. Tan (SPAA, 1999)

Financial Application of Neural Networks: Two Case Studies in Greece. - Sotiris B. Kotsiantis; Euaggelos Koumanakos; Dimitris Tzelepis; Vasilis Tampakas (ICANN (2), 2006)

Predicting Fraudulent Financial Statements with Machine Learning Techniques. - Sotiris B. Kotsiantis; Euaggelos Koumanakos; Dimitris Tzelepis; Vasilis Tampakas (SETN, 2006)

Towards an ontology-based system for intelligent prediction of firms with fraudulent financial statements. - Dimitris Kanellopoulos; Sotiris B. Kotsiantis; Vasilis Tampakas (ETFA, 2007)

Selective costing voting for bankruptcy prediction. - Sotiris B. Kotsiantis; Dimitris Tzelepis; Euaggelos Koumanakos; Vasilis Tampakas (Int. J. Knowl. Based Intell. Eng. Syst., 2007)

Financial Application of Multi-Instance Learning: Two Greek Case Studies. - Sotiris B. Kotsiantis; Dimitris Kanellopoulos; Vasilis Tampakas (J. Convergence Inf. Technol., 2010)

Evaluating Active Learning Methods for Bankruptcy Prediction. - Georgios Kostopoulos; Stamatis Karlos; Sotiris Kotsiantis; Vassilis Tampakas (BFAL, 2017)

Using Active Learning Methods for Predicting Fraudulent Financial Statements. - Stamatis Karlos; Georgios Kostopoulos; Sotiris Kotsiantis; Vassilis Tampakas (EANN, 2017)

DSS-PSP - A Decision Support Software for Evaluating Students' Performance. - Ioannis E. Livieris; Konstantina Drakopoulou; Thodoris Kotsilieris; Vassilis Tampakas; Panagiotis E. Pintelas (EANN, 2017)

Enhancing high school students' performance based on semi-supervised methods. - Georgios Kostopoulos; Ioannis E. Livieris; Sotiris Kotsiantis; Vassilis Tampakas (IISA, 2017)

A hybrid conjugate gradient method based on the self-scaled memoryless BFGS update. - Ioannis E. Livieris; Stamatis Karlos; Vassilis Tampakas; Panagiotis E. Pintelas (PCI, 2017)

Argumentative Discourse Concepts as Revealed by Traversing a Graph. - Panagiotis Gourgaris; Andreas Kanavos; Nikos I. Karacapilidis; Vassilis Tampakas (AIAI (Workshops), 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 (IISA, 2018)

Forecasting Students' Performance Using an Ensemble SSL Algorithm. - Ioannis E. Livieris; Vassilis Tampakas; Niki Kiriakidou; Tassos A. Mikropoulos; Panagiotis E. Pintelas (TECH-EDU, 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 (TECH-EDU, 2018)

An Auto-Adjustable Semi-Supervised Self-Training Algorithm. - Ioannis E. Livieris; Andreas Kanavos; Vassilis Tampakas; Panayiotis E. Pintelas (Algorithms, 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)

On Ensemble SSL Algorithms for Credit Scoring Problem. - Ioannis E. Livieris; Niki Kiriakidou; Andreas Kanavos; Vassilis Tampakas; Panagiotis E. Pintelas (Informatics, 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)

An Ensemble SSL Algorithm for Efficient Chest X-Ray Image Classification. - Ioannis E. Livieris; Andreas Kanavos; Vassilis Tampakas; Panayiotis E. Pintelas (J. Imaging, 2018)

A descent hybrid conjugate gradient method based on the memoryless BFGS update. - Ioannis E. Livieris; Vassilis Tampakas; Panayiotis E. Pintelas (Numer. Algorithms, 2018)

Employing Constrained Neural Networks for Forecasting New Product's Sales Increase. - Ioannis E. Livieris; Niki Kiriakidou; Andreas Kanavos; Gerasimos Vonitsanos; Vassilis Tampakas (AIAI (Workshops), 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)

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)

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)

Feature augmentation-based CNN framework for skin-cancer diagnosis. - Emmanuel Pintelas; Ioannis E. Livieris; Vasilis Tampakas; Panayiotis E. Pintelas (Evol. Syst., 2025)