Research Profile for Pintelas Panagiotis


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General
Director of: Computers and Applications Lab (C&ALab) and Educational Software Development Lab (ESDLab)
Department of Mathematics
Research Activity
information technologies in education, applications of AI, software engineering, machine learning technologies, VR in education
- Software Engineering

- Software Specification and Software Design

- Computer Assisted Training and Education

- Expert Systems and AI in Educational Software

- Virtual Reality in Education and Training

- Intelligent Tutoring Systems (ITSs)

- Agents and Agent Architectures

- ODL (Open and Distance Learning) Environments

- Machine Learning
Research Infrastructure
Professor of Computer Science
VR hardware and software
Research Activities
e-GIS+, Leonardo 1/1/2008- 31/12/2010
“ESQUITΙS”,INTERREG III, Code B.888, Partner funding 63.600e (project funding 471.000e, ending 31/10/2008.
ARCHIMEDES II, ATEI Patra, basic research on data mining in commerce and business, partner.
Open and Distance Learning, University of Patras, EPEAEK, project manager (national project)
PENED 99, "X-GENITOR", project manager (national project, basic research)
PENED 99, "TELE-INTELECT" (national project, basic research)
PENED 96, "NEWRALG", project manager (national project, basic research)
“EIKON”, Virtual Reality in High Schools and distance learning, project manager (national project)
"YPERION", Virtual Reality in education (national project)
Coordinator for the project "GESEM" ( contract no. 90/2/5081/Cb, Comett II)
1. Sotiris Kotsiantis, Panayotis Pintelas “Predictive Data mining: A Survey of Regression Methods,” the Encyclopedia of Information Science and Technology, 2nd edition, (M. Khosrow-Pour Ed.), Vol VI, Mu-Q, pp 3105-3110.
2. Sotiris Kotsiantis, Dimitris Kanellopoulos, Panayotis Pintelas, “Increasing the Accuracy of Predictive Data Mining Algorithms: A Review of Ensembles of Classifiers,” the Encyclopedia of Information Science and Technology, 2nd edition, (M. Khosrow-Pour Ed.), Vol VI, Mu-Q, pp 2176-2182.
3. Dimitris Kanellopoulos, Sotiris Kotsiantis, Panayotis Pintelas, ”Internet and Multimedia Communications”, the Encyclopedia of Information Science and Technology, 2nd edition, (M. Khosrow-Pour Ed.), Vol VI, Mu-Q, pp 1906-1910.
4. S.B. Kotsiantis, I.D. Zaharakis, P.E. Pintelas, Supervised machine learning: a review of classification techniques, Artificial Intelligence Review Journal (Springer) accepted.
5. M.S. Apostolopoulou, D.G. Sotiropoulos and P. Pintelas, A 2-BFGS updating in a trust region framework, Journal of Optimization Methods and Software. Accepted for publication.
6. D. N. Kanellopoulos, P. E. Pintelas, S. Giannoulis, QoS in Wireless Multimedia Networks, Annals of Mathematics, Computing and Teleinformatics (AMCT), 1(4):66-75.
7. S. Kotsiantis, E. Athanasopoulou, and P. Pintelas, Logitboost of Multinomial Bayesian Classifier for Text Classification, IRECOS (International Review on Computers and Software), Vol 1(3), pp. 243-250, November 2006.
8. S. Kotsiantis, D. Kanellopoulos, P. Pintelas, Local Boosting of Decision Stumps for Regression and Classification Problems, Journal of Computers (JCP), Vol.4 (1), 2006, pp. 30-37.
9. S. Kotsiantis, D. Kanellopoulos, and P. Pintelas, Data Preprocessing for Supervised Learning, International Journal of Computer Science, 2006, Vol 1 N. 2, pp 111-117 [pdf].
10. S. Kotsiantis, D. Kanellopoulos, P. Pintelas, Handling imbalanced datasets: A review, GESTS International Transactions on Computer Science and Engineering, Vol.30 (1), 2006, pp. 25-36
11. D. Kanellopoulos, S. Kotsiantis, P. Pintelas, Intelligent Knowledge Management for the Travel Domain, GESTS International Transactions on Computer Science and Engineering, Vol.30 (1), 2006, pp. 95-106
12. S. Kotsiantis, P. Pintelas, Selective Averaging of Regression Models, Annals of Mathematics, Computing & TeleInformatics, Vol 1, No 3, 2005, pp. 66-75.
13. S. Kotsiantis, D. Kanellopoulos,P. Pintelas, Local Additive Regression of Decision Stumps, Lecture Notes in Computer Science (LNCS), Springer-Verlag,Vol 3955, pp. 148-157, 2006. http://dx.doi.org/10.1007/11752912_17
14. A. Triantis and P. Pintelas, An Architecture for Developing Multi-agent Educational Applications for the Web, in (Ed. Eshaa M. Alkhalifa) Cognitively Informed Systems: Utilizing Practical Approaches to Enrich Information Presentation and Transfer, Idea Group Inc., pp. 235-259.
15. D. Kanellopoulos, S. Kotsiantis, P. Pintelas, Considering the Educational Semantic Web, Themes in Education Journal, Vol 7, Issue2, pp.145-164, Jan. 2007.
16. George E. Tsekouras, Dimitris Papageorgiou, Sotiris B. Kotsiantis, Christos Kalloniatis, Panagiotis E. Pintelas, A Fuzzy Logic-based Approach for Detecting Shifting Patterns in Cross-Cultural Data, Lecture Notes in Artificial Intelligence (LNAI), Springer-Verlag Vol 3533, pp. 705-708.
17. S. Kotsiantis, P. Pintelas, Combining Bagging and Boosting, International Journal of Computational Intelligence, Vol. 1, No. 4 (324-333), 2004.
18. George E. Tsekouras, Dimitris Papageorgiou, Sotiris B. Kotsiantis, Christos Kalloniatis, Panagiotis E. Pintelas, Fuzzy Clustering of Categorical Attributes and its Use in Analyzing Cultural Data, , International Journal of Computational Intelligence, Vol. 1, No. 2 (147-151), 2004.
19. S. Kotsiantis, P. Pintelas, Logitboost of Simple Bayesian Classifier, Computational Intelligence in Data mining Special Issue of the European Informatica Journal, Vol. 29 (1), pp. 53-59, 2005.
20. S. Kotsiantis, P. Pintelas, A Decision Support Prototype Tool for Predicting Student Performance in an ODL Environment, International Journal of Interactive Technology and Smart Education, (ITSE), Vol. 1, Issue 4, Nov. 2004, pp 253-263.
21. Grigorios N. Beligiannis, Georgios A. Tsirogiannis, Panayotis E. Pintelas, "Restartings: A Technique to Improve Classic Genetic Algorithms’ Performance", International Journal of Computational Intelligence Volume 1, 2004, pages 112-115, (selected articles from International Conference on Computational Intelligence 2004, 17th-19th December 2004, Istanbul, Turkey).
22. S. Kotsiantis, D. Kanellopoulos, P. Pintelas, Multimedia Mining, WSEAS Transactions on Systems, Issue 10, Volume 3, December 2004, pp. 3263-3268.
23. Grigorios N. Beligiannis, Georgios A. Tsirogiannis and Panayotis E. Pintelas, “Intuition” Operator: Providing Genomes with Reason, International Journal of Computational Intelligence Volume 1, 2004, pages 120-123, (selected articles from International Conference on Computational Intelligence 2004, 17th-19th December 2004, Istanbul, Turkey).
24. A. Triantis, P. E. Pintelas, An Integrated Environment for Building Distributed Multi-agent Educational Applications, Lecture Notes in Computer Science, (LNCS), Vol. 3192, pp. 351-360.
25. S. B. Kotsiantis, P. E. Pintelas, Bagged Voting Ensembles,. Lecture Notes in Computer Science, (LNCS), Vol. 3192, pp.168-177, 2004.
26. S. B. Kotsiantis, P. E. Pintelas, Increasing the Classification Accuracy of Simple Bayesian Classifier, Lecture Notes in Computer Science, (LNCS), Vol. 3192, pp. 198-207, 2004.
27. S. Kotsiantis, P. Pintelas, Recent Advances in Clustering: A Brief Survey, WSEAS Transactions on Information Science and Applications, Vol. 1, No 1 (73-81), 2004.
28. S. Kotsiantis, C. Pierrakeas, P. Pintelas, Predicting Students’ Performance in Distance Learning Using Machine Learning Techniques, Journal of Applied Artificial Intelligence (AAI), Vol. 18 No 5, pp 411-426, May-June 2004.
29. S. Kotsiantis and P. Pintelas, A Cost Sensitive Technique for Ordinal Classification Problems, in LNAI (Lecture Notes in Artificial Intelligence), Springer Verlag Vol 3025, pp. 220-229.
30. S. Kotsiantis and P.Pintelas, Mixture of expert agents for handling imbalanced data sets, Annals of Mathematics, Computing and Teleinformatics (AMCT), Vol. 1, No 1, pp 46-55, 2003.
University of Ioannina, Dept of Education
University of Peloponnese Dept of Computers
University of Peloponnese Dept of Telecomunications

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