4. Ioannis Livieris · Emmanuel Pintelas · Andreas Kanavos · Panagiotis Pintelas, An Improved self-labeled algorithm for cancer prediction, October 2018, Chapter In book: Advances in Experimental Medicine and Biology, Publisher: Springer, pp.1-10 (short listed for best paper award).
5. Ioannis Livieris, Andreas Kanavos and Panagiotis Pintelas, Detecting Lung Abnormalities from X-Rays using an Improved SSL Algorithm, Nov 2018, European Conference on Behavioral Change and Ambient Intelligence for Sustainability (BRAINS18).
6. Ioannis Livieris, Andreas Kanavos, Vassilis Tampakas, Panagiotis Pintelas, An Ensemble SSL Algorithm for Efficient Chest X-rays Image Classification, Journal of Imaging, 2018, 4, 95; doi:10.3390/jimaging4070095 [PDF] An Ensemble SSL Algorithm for Efficient Chest X-Ray Image Classification
7. I.E. Livieris, A. Kanavos, V. Tampakas, and P. Pintelas, An auto-adjustable semi-supervised self-training algorithm, Journal Algorithms 2018, 11(9), 139; PDF Full-text (325 KB) | HTML Full-text | XML Full-text
8. Livieris, I.; Drakopoulou, K.; Tampakas, V.; Mikropoulos, T.; Pintelas, P. An ensemble-based semi-supervised approach for predicting students’ performance. In Research on e-Learning and ICT in education; Elsevier, 2018.
9. Ioannis E. Livieris, Vassilis Tampakas and Panagiotis Pintelas, A descent hybrid conjugate gradient method based on the memoryless BFGS update, Numerical Algorithms (NUMA), pp 1-17, 2018.
10. I.E. Livieris, T. Kotsilieris, V. Tampakas, P. Pintelas, Improving the evaluation process of students’ performance utilizing a decision support software, Neural Computing and Applications (NCAA), Neural Computing and Applications https://doi.org/10.1007/s00521-018-3756-y(0123456789().,-volV)(0123456789().,-volV)
11. Ioannis E. Livieris, Konstantina Drakopoulou, Vassilis Tampakas, Tassos Mikropoulos, Panagiotis Pintelas, Predicting secondary school students’ performance utilizing a semi-supervised learning approach, Journal of Educational Computing Research (JECR), Jan. 2018.  http://journals.sagepub.com/eprint/zpKz9UZcgEhfbjM8scDZ/full
12. Livieris I.E., Drakopoulou K., Kotsilieris T., Tampakas V., Pintelas P. (2017) DSS-PSP - A Decision Support Software for Evaluating Students’ Performance. In: Boracchi G., Iliadis L., Jayne C., Likas A. (eds) Engineering Applications of Neural Networks. EANN 2017 pp 63-74. Communications in Computer and Information Science, vol 744. Springer, Cham
13. Ioannis E. Livieris, Tassos A. Mikropoulos, Panagiotis Pintelas. A decision support system for predicting students’ performance, Themes in Science & Technology Education, 9(1), 43-57, 2016.
14. I.E. Livieris and P. Pintelas. A limited memory descent Perry conjugate gradient method. Optimization Letters, (accepted for publication), 2015.
15. I.E. Livieris and P. Pintelas. "A new class of nonmonotone conjugate gradient training algorithms", Journal of Applied Mathematics and Computation (AMC), 266 (2015), pp 404-413.
16. I.E. Livieris and P. Pintelas. A modified Perry conjugate gradient method and its global convergence. Optimization Letters, Volume 9, Issue 5, p.p. 999-1015, June 2015.
17. Tassos A. Mikropoulos, Demetrios G. Sampson, Alexandros Nikopoulos, Panayotis Pintelas, “The evolution of Educational Technology based on a bibliometric study”, in Volume “Research on e-Learning and ICT in Education” by Springer, pp 15-24, 25 June 2014 .
18. I.E. Livieris and P. Pintelas, A new conjugate gradient algorithm for training neural networks based on a modified secant equation. Applied Mathematics and Computation, Volume 221, pp. 491-502, 2013.
19. I.E. Livieris and P. Pintelas. A new class of spectral conjugate gradient methods based on a modified secant equation for unconstrained optimization. Journal of Computational and Applied Mathematics, Volume 239, pp. 396-405, 2013.
20. I.E. Livieris and P. Pintelas, Globally convergent modified Perry conjugate gradient method, Applied Mathematics and Computation, Volume 218, Issue 18, May 2012, pp. 9197-9207.  http://dx.doi.org/10.1016/j.amc.2012.02.076
21. I. E. Livieris and P. Pintelas, An Advanced Conjugate Gradient Training Algorithm Based on a Modified Secant Equation, ISRN Artificial Intelligence, Volume 2012 (2012), pp.1-9.
22. I.E. Livieris and P. Pintelas. A descent Dai-Liao conjugate gradient method based on a modified secant equation and its global convergence. ISRN Computational Mathematics, Volume 2012 (2012), Article ID 435495, 8 pages
23. I.E. Livieris and P. Pintelas, An improved spectral conjugate gradient neural network training algorithm. International Journal on Artificial Intelligence and Tools, IJAIT's Volume No.21, Issue No. 1. 2012.
24. Marianna S. Apostolopoulou; Dimitris G. Sotiropoulos;  C.A. Botsaris; P. Pintelas, "A practical method for solving large-scale TRS", Optimization Letters, Vol. 5, No. 2, pp. 207-227, May 2011. (Fortran code)
25. C. T. Rodosthenous, A. D. Kameas, P. E. Pintelas, Diplek: An open LMS that supports fast composition of educational services,   book chapter in  E-Infrastructures and Technologies for Lifelong Learning: Next Generation Environments/ George Magoulas, editor,  pp 59-89, Copyright © 2011 by IGI Global.
26. S.B. Kotsiantis and P.E. Pintelas, Selective costing ensemble for handling imbalanced data sets, International Journal of Hybrid Intelligent Systems 6(3) (2009) pp.123-133.
27. D.N. Kanellopoulos, S.B. Kotsiantis, P.E. Pintelas, “An Ontology-Based Framework for Supporting Localization of e-Learning Content”, Annals of Mathematics, Computing & Teleinformatics, vol 1 no 6-7, pp 1-10, 2009
28. Ioannis Messinis, Ioannis Vrellis and Panagiotis Pintelas, Presence in stressful virtual environments, Int. J. Teaching and Case Studies, Vol. 2, No. 2, 2009  pp 136-145.
29. M.S. Apostolopoulou, D.G. Sotiropoulos and P. Pintelas. Σφάλμα! Η παραπομπή υπερ-σύνδεσης δεν είναι έγκυρη., Journal of Optimization Methods and Software, Volume 23, Issue 5, pp. 651-674, October 2008.
30. S. B. Kotsiantis, P. E. Pintelas, Local Random Subspace of Decision Stumps for Regression Problems, International Conference on Knowledge Discovery (ICKD 2009), June 6-8, 2009 • Manila, Philippines, Accepted (http://www.ickd.org/ ).
31. 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.
32. 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.
33. 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.
34. S. Kotsiantis, I. Zaharakis and P. Pintelas, "Machine learning: a review of classification and combining techniques," Journal of Artif. Intell. Rev. vol. 26, pp. 159-190, 11. 2006.
35. D. N. Kanellopoulos, P. E. Pintelas, S. Giannoulis, QoS in Wireless Multimedia Networks, Annals of Mathematics, Computing and Teleinformatics (AMCT), 1(4):66-75.
36. 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.
37. 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.
38. 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].
39. 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
40. 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
41. S. Kotsiantis, P. Pintelas, Selective Averaging of Regression Models, Annals of Mathematics, Computing & TeleInformatics, Vol 1, No 3, 2005, pp. 66-75.
42. 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
43. 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., 2006, pp. 235-259.
44. D. Kanellopoulos, S. Kotsiantis, P. Pintelas, Considering the Educational Semantic Web, Themes in Education Journal, Vol 7, Issue2, pp.145-164, Jan. 2007.
45. 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.
46. S. Kotsiantis, P. Pintelas, Combining Bagging and Boosting, International Journal of Computational Intelligence, Vol. 1, No. 4 (324-333), 2004.
47. 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.
48. S. B. Kotsiantis, P. E. Pintelas, Local Voting of Weak Classifiers, International Journal of Knowledge-Based & Intelligent Engineering Systems (KES), Vol. 9, No 3, 2005, pp. 239-248. http://iospress.metapress.com/openurl.asp?genre=article&issn=1327-2314&volume=9&issue=3&spage=239
49. S. Kotsiantis, G. Tsekouras, P. Pintelas, Local Bagging of Decision Stumps, Lecture Notes in Computer Science (LNCS), Springer-Verlag Vol 3533, pp. 406-411, 2005  http://dx.doi.org/10.1007/11504894_57
50. A. Triantis, A. Kameas, I. Zaharakis and P. Pintelas, (2005) "4Ds: An Architecture that Dynamically Synthesizes Distributed Content with Distributed Expertise into Educational Applications that Support Sustainable Sessions for Distributed Learners". THEMES in Education Journal vol. 6 (2) pp 169-187.

International and National Conferences with Full Paper and blind review

89. I.E. Livieris, I. Dimopoulos, T. Kotsilieris, and P. Pintelas. Predicting length of stay in hospitalized patients using ssl algorithms. In ACM 8th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Infoexclusion, DSAI 2018, Thessaloniki, Greece, 20-22 June 2018, pp. 1-8.

90. Emmanuel G. Pintelas, Theodore Kotsilieris, Ioannis E. Livieris, Panagiotis Pintelas, A review of machine learning prediction methods for anxiety disorders, International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Infoexclusion, Thessaloniki. DSAI 2018
91. V. Tampakas, I.E. Livieris, E. Pintelas, N. Karacapilidis, and P. Pintelas. Prediction of students’ graduation time using a two-level classification algorithm. In 1st International Conference on Technology and Innovation in Learning, Teaching and Education, pages 1–7. IEEE, 2018. 

92. Ioannis E. Livieris, Vassilis Tampakas, Niki Kyriakidou, Tasos Mikropoulos, Panagiotis Pintelas, Forecasting students’ performance using an ensemble SSL algorithm, International Conference on Technology and Innovation in Learning, Teaching and Education (TECH-EDU 2018), 2018-06-20, Thessaloniki.
93. Ioannis Livieris, Stamatis Karlos, Vassilis Tampakas and Panagiotis Pintelas: A hybrid conjugate gradient method based on the self-scaled memoryless BFGS update, Proceedings of the 21st Pan-Hellenic Conference on Informatics, PCI2017, Article No. 21, Larissa, Greece — September 28 – 30, ACM 2017, ISBN: 978-1-4503-5355-7 [link]
94. Kostopoulos G., Kotsiantis S., Pintelas P. (2015) Predicting Student Performance in Distance Higher Education Using Semi-supervised Techniques. In: Bellatreche L., Manolopoulos Y. (eds) Model and Data Engineering. Lecture Notes in Computer Science, vol 9344. Springer, Cham, pp 259-270
95. G. Kostopoulos, S. Kotsiantis, P. Pintelas. 2015. Estimating student dropout in distance higher education using semi-supervised techniques. In Proceedings of the 19th Panhellenic Conference on Informatics (PCI ’15), ACM, 38-43. [link]
Full Text: PDF
96. Δ. Δαούσης, Σ. Λαζαρόπουλος, Β. Κόμης και Π. Πιντέλας, «Μελέτη Περίπτωσης Αξιοποίησης του Moodle για την Υποστήριξη Θεματικής Ενότητας του ΕΑΠ”, ETPE 2013, 3ο Πανελλήνιο Συνέδριο «Ένταξη και Χρήση των ΤΠΕ στην Εκπαιδευτική Διαδικασία», 10-12 Μαϊου 2013, Πειραιάς, accepted.
97. Ioannis E. Livieris, Konstantina Drakopoulou, Panagiotis Pintelas, Predicting students' performance using artificial neural networks, in electronic proceedings of 8th Pan-Hellenic Conference with International Participation, “Information and Communication Technologies in Education”, University of Thessaly, Volos, 28-30 September 2012, Greece
98. Σ. Κωτσιαντής, Δ. Παπανικολάου, Π. Πιντέλας, “Προβλέποντας Την Επίδοση Μαθητών Χρησιμοποιώντας Τεχνικές Εξόρυξης Γνώσης : Μια Μελέτη Περίπτωσης”, 2ο Πανελλήνιο Συνέδριο «Ένταξη των ΤΠΕ στην Εκπαιδευτική Διαδικασία», Πάτρα, 28-30/4/2011, σελ. 435-444, στα Πρακτικά. www.cetl.elemedu.upatras.gr/conference/
99. T. Rodosthenous, mailto:A. D. Kameas, mailto:P. E. Pintelas, Diplek: an open educational Platform that supports the composition of learning, management and communication services, Proceedings International Conference CISSE 2008 – EIAE 2008, December 5 - 13, 2008, University of Bridgeport, pp. 321-326, 2010, http://www.springerlink.com/content/m2g8j67572w512v7
100. S. Kotsiantis, P. Pintelas, Local Rotation Forest of Decision Stumps for Regression Problems, ICCSIT 2009: Special Session on Artificial Intelligence and Neural Networks (ICAINN 2009, Beijing, China August 8-11. pp. 170-174
101. I.E. Livieris and P. Pintelas, Performance evaluation of descent CG methods for neural network training, HERCMA 2009, Athens, Sept. 24-26, 2009, best paper award. Also included in HERMIS Journal Vol. 11, pp 40-46, selected papers.
102. I.E. Livieris, D.G. Sotiropoulos and P. Pintelas, On Descent Spectral CG algorithms for Training Recurrent Neural Networks, Proceedings of PCI 2009 Conference, pp.65-69, ISBN: 978-0-7695-3788-7
103. I.E. Livieris, D.G. Sotiropoulos, M.S. Apostolopoulou, S.A. Sioutas and P. Pintelas, Classifcation of Large Biomedical Data using ANNs based on BFGS method, Proceedings of PCI 2009 Conference, pp. 87-91, 2009, ISBN: 978-0-7695-3788-7
104. Marianna S. Apostolopoulou, Dimitris G. Sotiropoulos, Charalambos A. Botsaris, Panagiotis Pintelas, A nearly exact method for solving large-scale TRS, in Proceedings of INDIN09, 24-26 June, Cardiff, UK, pp. 337-342, 2009.
105. Marianna S. Apostolopoulou, Dimitris G. Sotiropoulos, Ioannis E. Livieris, Panagiotis Pintelas, A memoryless BFGS neural network training algorithm, in Proceedings of INDIN09, 24-26 June, Cardiff, UK, pp. 216-221, 2009.
106. Sofia Kasola, Panagiotis Pintelas, EGIS: A CASE STUDY IN PRIMARY SCHOOL, Proceedings EDULEARN09 - International Conference on Education and New Learning Technologies. July 6th-8th, 2009 Barcelona, SPAIN, pp 3760-3771, ISBN:978-84-612-9802-0.
107. D. Anyfantis, M. Karagiannopoulos, S. Kotsiantis and P. Pintelas, Creating ensembles of classifiers by distributing an imbalanced dataset to reach balance in each resulting training set, IEEE DHMS 2008 Conference, Athens, March 9-12, 2008 Accepted.
108. Χρυσούλα Μπίνα, Γιάννης Μεσσήνης, Παναγιώτης Πιντέλας, Μελέτη της Σχέσης Αλληλεπίδρασης και Αίσθησης Παρουσίας σε Εκπαιδευτικά Εικονικά Περιβάλλοντα, Πρακτικά 6ου Συνεδρίου ΕΤΠΕ, Λεμεσός, Σεπτέμβριος 2008
(http://www.etpe.eu/extras/view_proceedings.php?conf_id=23)
109. D. Anyfantis, M. Karagiannopoulos, S. B. Kotsiantis and P. E. Pintelas, Robustness of learning algorithms in handling noise in imbalanced datasets, IFIP International Federation for Information Processing AIAI 2007, Vol. 247, Springer-Verlag, pp. 21-28.
110. M. Karagiannopoulos, D. Anyfantis, S. B. Kotsiantis and P. E. Pintelas, A Wrapper for Reweighting Training Instances for Handling Imbalanced Datasets, IFIP International Federation for Information Processing AIAI 2007, Vol. 247, Springer-Verlag, pp. 29-36.
111. D. Anyfantis, M. Karagiannopoulos, S. B. Kotsiantis and P. E. Pintelas, "Local Application of One-Level Trees", Conference In Numerical Analysis (NumAn 2007), Recent Approaches to Numerical Analysis: Theory, Methods And Applications, Kalamata, Greece, pp --.
112. M. Karagiannopoulos, D. Anyfantis, S. B. Kotsiantis and P. E. Pintelas, "A Fast Ensemble of Regressors", Conference In Numerical Analysis (NumAn 2007), Recent Approaches to Numerical Analysis: Theory, Methods And Applications, Kalamata, Greece, pp --.
113. M. Karagiannopoulos, D. Anyfantis, S. Kotsiantis and P. Pintelas, "Feature selection for regression problems", 8th Hellenic European Conference on Computer Mathematics and its Applications (HERCMA 2007) September 20-22, Athens, Greece.
114. Sofia Kasola, Chris Panagiotakopoulos, Panagiotis Pintelas, Using Microworlds-Pro to support Effectively the educational Process, Proceedings EuroLogo 2007 Conference in Bratislava 2007.
115. D. Anyfantis, M. Karagiannopoulos, S. B. Kotsiantis, P. E. Pintelas, Combining Classification and Model Trees for Handling Ordinal Problems, 11th Panhellenic Conference on Informatics (PCI 2007), Patras, 18-20 of May 2007, pp 197-206.
116. M. Karagiannopoulos, D. Anyfantis, S. B. Kotsiantis and P. E. Pintelas, Local Cost Sensitive Learning For Handling Imbalanced Data Sets, 15th IEEE Mediterranean Conference on Control and Automation. 27-30 June, 2007 Athens, Greece, pp 1-7.
117. D. Anyfantis, M. Karagiannopoulos, S. B. Kotsiantis and P. E. Pintelas, Local Dagging of Decision Stumps for Regression and Classification Problems, 15th IEEE Mediterranean Conference on Control and Automation. 27-30 June, 2007 Athens, Greece.
118. M.S. Apostolopoulou , D.G. Sotiropoulos and P. Pintelas, “Computing a trust region step using limited memory quasi-Newton methods”, OPTIMIZATION2007, Porto, 22-25 July, 2007, in book of abstracts.
119. M.S. Apostolopoulou, D.G. Sotiropoulos and P. Pintelas, A 2-BFGS Updating in a Trust Region Framework, presented in EUROPT-OMS meeting 2007 - 2nd Conference on Optimization Methods & Software and 6th EUROPT Workshop on Advances in Continuous Optimization, Prague, Czech Republic, July 4-7, 2007.
120. M.S. Apostolopoulou, D.G. Sotiropoulos and P. Pintelas Limited Memory Quasi-Newton Methods for the Large-Scale Trust Region Subproblem, presented in EURO XXII - 22nd European Conference on Operational Research, Prague, Czech Republic, July 8-11, 2007, in book of abstracts.
121. M.S. Apostolopoulou, D.G. Sotiropoulos and P. Pintelas, On the L-BFGS Method for the Large-Scale Trust Region Subproblem, presented in IMA Conference on Numerical Linear Algebra and Optimisation - University of Birmingham, United Kingdom, September 13-15, 2007, in book of abstracts.
122. S.Kotsiantis, C. Pierrakeas and P. Pintelas, Preventing student dropout in distance learning systems using machine learning techniques, Proceedings of 7th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES), Oxford, Sept. 3-5, 2003, Lecture Notes in Artificial Intelligence (LNAI), Vol. 2774, pp 267-274, Springer-Verlag, 2003. http://www.springerlink.com/index/9EHBY3DV5XDCQR79
123. D. Kanellopoulos, S, Kotsiantis and P. Pintelas P, Ontology-Based learning applications: a development methodology, Twenty-Fourth IASTED International Conference on Software Engineering “SE 2006”, February 14-16, Innsbruck, Austria, pp. 27-32.
124. S. B. Kotsiantis, G. E. Tsekouras, and P. E. Pintelas, Bagging Model Trees for Classification Problems, 10th Panhellenic Conference on Informatics (PCI 2005), University of Thessaly, 11-13 November 2005, Lecture Notes in Computer Science (LNCS), Springer-Verlag Vol 3746, pp. 328 – 337, 2005.
125. S. Kotsiantis, G. Tsekouras, C. Raptis, P. Pintelas, Modeling the organoleptic properties of matured wine distillates, Lecture Notes in Artificial Intelligence (LNAI), Springer-Verlag, (Proceedings Industrial Conference on Data Mining ICDM-Leipzig 2005), Vol. 3587, pp 667-673, 2005 (http://dx.doi.org/10.1007/11510888_66 ).
126. S. Kotsiantis G. Tsekouras, P. Pintelas, Bagging random trees for estimation of tissue softness, Lecture Notes in Artificial Intelligence (LNAI), Springer-Verlag, (Proceedings Industrial Conference on Data Mining ICDM-Leipzig 2005), Vol. 3587, pp 674-681, 2005 (http://dx.doi.org/10.1007/11510888_67 ).
127. S. B. Kotsiantis, P. E. Pintelas, Predicting Students’ Marks in Hellenic Open University, Proceedings of 5th IEEE International Conference on Advanced Learning Technologies (ICALT2005), July 5-8, 2005 Kaohsiung, Taiwan, pp. 664-668.
128. Grigorios N. Beligiannis, Georgios A. Tsirogiannis, Panayotis E. Pintelas, "Restartings: A Technique to Improve Classic Genetic Algorithms’ Performance", Proceedings of ICCI 2004 international conference on computational intelligence 2004, 17th-19th December 2004, Istanbul, Turkey, pp 404-407, ISBN 975-98458-1-4.
129. Grigorios N. Beligiannis, Georgios A. Tsirogiannis and Panayotis E. Pintelas, “Intuition” Operator: Providing Genomes with Reason, Proceedings of ICCI 2004 international conference on computational intelligence 2004, 17th-19th December 2004, Istanbul, Turkey, pp 65-68, ISBN 975-98458-1-4.
130. S. Kotsiantis, I. Zacharakis, V. Tampakas and P. Pintelas, On Constructing a Financial Decision Support System, Proceedings of International Conference on Enterprise Systems and Accounting 2004, Septembet 3-4, Thessaloniki, Greece, 2004, pp 319-331.
131. S. B. Kotsiantis, P. E. Pintelas, Local Boosting of Weak Classifiers, Proceedings IEEE International Conference on Intelligent Systems Design and Applications (ISDA 2004) Conference, August 26-28, 2004, Budapest, Hungary, pp 175-180.
132. S. B. Kotsiantis, P. E. Pintelas, Selective Voting, Proceedings IEEE International Conference on Intelligent Systems Design and Applications (ISDA 2004) Conference, August 26-28, 2004, Budapest, Hungary, pp. 397-402.
133. S. B. Kotsiantis, P. E. Pintelas, On the Selection of Classifier-specific Feature Selection Algorithms, IJSIT Lecture Notes of International Conference on Intelligent Knowledge Systems, Vol. 1, No. 1, August 2004, pp 153-160 Assos, Troy, Turkey.
134. A. Triantis and P. Pintelas, A Mobile Multi Agent Architecture for Web Based Learning, Proceedings of IEEE International Conference in Advanced Learning Technologies 2004 (ICALT2004), Finland August 30 – September 1, pp 51-55.
135. Maria Kordaki, Athanasia Mpalomenou, & Panayotis Pintelas Students’ constructions of equivalent triangles ‘in any possible way’, using the tools of Cabri-Geometry II, Proceedings 6ICΤME (6th International Conference on Technology in Mathematics Education), Volos, Greece, 13-15, October, 2003, pp. 173 - 183.
136. S. Kotsiantis, P. Pintelas, An Online Ensemble of Classifiers, Proceedings of The Fourth International Workshop on Pattern Recognition in Information Systems – PRIS-2004, in conjunction with the 6th International Conference on Enterprise Information Systems (ICEIS-2004), Porto - Portugal 14-17, April 2004, pp 59-68.
137. S. Kotsiantis, P. Pintelas, A hybrid Decision Support Tool, Proceedings of 6th International Conference on Enterprise Information Systems (ICEIS-2004), Porto - Portugal 14-17, April 2004, pp 448-453.
138. S. Kotsiantis, P. Pintelas, A Fast Ensemble of Classifiers, Proceedings of IPMU 2004 (Information Processing and Management of Uncertainty in Knowledge-Based Systems), July 4-9, 2004, Perugia - Italy, pp 277-284.
139. S. B. Kotsiantis, P. E. Pintelas (2004), Hybrid Feature Selection instead of Ensembles of Classifiers in Medical Decision Support, Proceedings of IPMU 2004 (Information Processing and Management of Uncertainty in Knowledge-Based Systems), July 4-9, 2004, Perugia - Italy, pp 269-276.
140. S.Kotsiantis, Pintelas, On combining classifiers, Proceedings of 6th HERCMA 2003 on computer mathematics and its applications, Athens, Sept. 25-27, 2003, pp.347-354.
141. S. B. Kotsiantis, I.D. Zacharakis and P.E. Pintelas, Assessing Supervised Machine Learning Techniques for Predicting Student Learning Preferences, Proceedings 3rd Conference on Informatics and Communication Technologies in Education, Rhodes, September 25-29, 2002, pp.639-648.
142. G. N. Beligiannis, K. C. Giotopoulos, S. D. Likothanassis, G. P. Paschalis and P. Pintelas, “student model optimization using evolutionary computation techniques”, Proceedings, NAISO 2002 World Congress, Technical University of Berlin, Germany, May 1 - 4, 2002.
143. Χ. Πιερρακέας, Η.Τσιρογιάννης, Μ.Πευκιανάκης, Ν.Καράμποτσης, Π.Πιντέλας «Σύστημα Συνεχιζόμενης Εκπαίδευσης Πανεπιστημίου Πατρών: Εκτίμηση της πιλοτικής χρήσης Εκπαιδευτικού Υλικού και Συστήματος Διαχείρισης», 5ο Πανελλήνιο Συνέδριο Διδακτικής των Μαθηματικών και Πληροφορικής στην Εκπαίδευση, Θεσσαλονίκη 12-14 Οκτωβρίου 2001.
144. Γ. Μπεληγιάννης, Κ. Γιωτόπουλος, Σ. Λυκοθανάσης, Γ. Πασχάλης και Π. Πιντέλας, «Χρήση τεχνικών υπολογιστικής νοημοσύνης για τη βελτιστοποίηση μοντέλου μαθητή», 5ο Πανελλήνιο Συνέδριο Διδακτικής των Μαθηματικών και Πληροφορικής στην Εκπαίδευση, Θεσσαλονίκη 12-14 Οκτωβρίου 2001.
145. Α. Kameas and P. Pintelas, “Adaptive Educational Systems: combining the best of Intelligent Tutoring Systems and Adaptive Hypermedia Systems”, 1st HERMES Workshop on Advanced Systems for Teaching and Learning over the Web, Samos, 1-3 September 2001. 
146. Α.Triantis, S. Kotsiantis, I. Zaharakis, A. Kameas, P. Pintelas (2001). X-GENITOR: An integrated environment for the development of agent-based tele-training applications. In Proceedings of workshop on Intelligent Agents and Virtual Reality organized by Artificial Intelligent Human Network, June 29, 2001, Athens.
147. Τριάντης Α., Κωτσιαντής Σ., Θεοδούλου Θ., Δημοπούλου Μ., Πιντέλας (2001). Ένα ολοκληρωμένο περιβάλλον ανάπτυξης εφαρμογών τηλε-εκπαίδευσης βασισμένο στην τεχνολογία των ευφυών διαμεσολαβητών. Στα πρακτικά του πανελλήνιου συνεδρίου με διεθνή συμμετοχή «Νέες τεχνολογίες στην εκπαίδευση και στην εκπαίδευση από απόσταση», σελ. 247-261, 8-10 Ιουνίου 2001, Ρέθυμνο, Κρήτη.
148. Μ. Ξένος, Χ. Πιερρακέας και Π. Πιντέλας, «Εντοπισμός Ομάδων Φοιτητών του ΕΑΠ με Υψηλή Πιθανότητα Διακοπής Φοίτησης, Εμπειρίες και Ιδιαιτερότητες στην Πληροφορική», 1ο Πανελλήνιο Συνέδριο για την Ανοικτή και εξ Αποστάσεως Εκπαίδευση, Πάτρα 25 – 27 Μαίου 2001.
149. Χ. Πιερρακέας, Μ. Ξένος, και Π. Πιντέλας, «Εκτίμηση - Αξιολόγηση του Εκπαιδευτικού υλικού – Σύμβουλου Καθηγητή. Απόψεις των Φοιτητών – Σημεία Βελτίωσης», 1ο Πανελλήνιο Συνέδριο για την Ανοικτή και εξ Αποστάσεως Εκπαίδευση, Πάτρα 25 – 27 Μαίου 2001.
150. P. Pintelas, A. Kameas, I. Zaharakis, A. Triantis, Intelligent Agents in Education, HERMES network - 2nd Workshop / Seminar on: "Knowledge-based systems for the delivery and adaptation of educational courseware" Patra, Hellas, Feb 15-18, 2001. D:\projects\HERMIS\PATRA FEB 01\OUR PAPERS\Zaharakis.doc
151. A. G. Triantis, A. D. Kameas, I. D. Zacharakis, G. Kagadis, G. Sakellaropoulos, G. Nikiforidis and P. Pintelas, “Towards a Generic Multi-agent Architecture of Computer Based Medical Education Applications”, proceedings 2nd Panhellenic Conference “Information and Communication Technologies in Education”, Patra, October 2000, pp. 255-264.
152. Σ. Γερόπουλος, Α. Καμέας, Π. Πιντέλας, Χ. Σκουρλάς και Ι. Χάλαρης, "QUALI-LEARN: Κατάρτιση από απόσταση σε θέματα διασφάλισης ποιότητας στην ανάπτυξη λογισμικού". Πρακτικά του 4ου Πανελλήνιου Συνεδρίου στη Διδακτική των Μαθηματικών και την Πληροφορική στην Εκπαίδευση, Ρέθυμνο, 1-3 Οκτωβρίο 1999, σελ 264-273.
153. Π. Πιντέλας, Α. Καμέας, Α. Τριάντης, Σ. Βάθης, Γ. Κουταλιέρης, Α. Μικρόπουλος και Α. Κατσίκης, «Σχεδίαση Εκπαιδευτικών Εφαρμογών Εικονικής Πραγματικότητας: το Περιβάλλον ΕΙΚΩΝ», Πρακτικά 4ο Πανελλήνιο Συνέδριο με Διεθνή Συμμετοχή, «Διδακτική των Μαθηματικών και Πληροφορική στην Εκπαίδευση», Ρέθυμνο Κρήτη, σελ 144-154, 1999.
154. Α. Μικρόπουλος, Α. Κατσίκης Α. Εμβαλωτής, Ε. Νικολού, Α. Χαλκίδης Π. Πιντέλας και Α. Καμέας, «ΕΙΚΩΝ: Εικονική Πραγματικότητα στην Υποστήριξη του Μαθήματος της Τεχνολογίας. Παιδαγωγική Προσέγγιση», Πρακτικά 4ο Πανελλήνιο Συνέδριο με Διεθνή Συμμετοχή, «Διδακτική των Μαθηματικών και Πληροφορική στην Εκπαίδευση», Ρέθυμνο Κρήτη, σελ 155-162, 1999.
155. P. Pintelas “Educational Software: A Proposal for its Quality Assurance” proceedings of Panhellenic Conference on ‘Informatics and Education’, Invited Speaker, Ioannina, May 14-15pp 67-80, 1999. (in Greek)
156. P. Pintelas, A. Mikropoulos, A. Katsikis, A. Kameas, A. Triantis, E. Nikolou, S. Vathis, G. Koutalieris “EIKON: Virtual Reality in inter-thematic approach of lessons for secondary education”, Proceedings ‘Informatics in Secondary Education’, HCS/Ministry of Education , Athens, pp 218-224, 1998. (in Greek)
157. C. Diplas , G. Koutalieris , D. Sampson and P. Pintelas “Using Virtual Reality techniques to simulate experiments in Physics”, OpenClassroom II, September 1997.
158. Diplas C., Kameas A., Pintelas P.,“The Interaction Specification Workspace: Specifying and Designing the Interaction Issues of Virtual Reality Training Environments From Within”, in Proceedings of 4th Eurographics Workshop on Design, Specification and Verification of Interactive Systems DSV-IS’97-supported by ACM, June 1997, Granada, Spain.
159. D. Giakovis, A. Kameas and P. Pintelas, “A Multi-Level Architecture of Student Modeling Based on Artificial Neural Networks”, Proceedings of 3rd Panhellenic Conference with International Participation, “Didactic of Mathematics and Informatics in Education”, Patras, May 9-11, Hellas (1997), pp 470-481.
160. I. Zaharakis. A. Kameas and P. Pintelas, “Towards an Agent-Based Tutoring Architecture”, Proceedings of 3rd Panhellenic Conference with International Participation, “Didactic of Mathematics and Informatics in Education”, Patras, May 9-11, Hellas (1997), pp443-456.
161. Triantafillou S Pixton J Kallenbach K Kallas I Turcsanyine M Pintelas P and Nikolova I (1997) MATCh: A multimedia authoring environment for children in Turcsanyi-Szabo (ed) Learning and Exploring with Logo, Proceedings of the Sixth European Logo Conference Budapest, 80-84.
162. K. Diplas, A. Kameas and P. Pintelas, “Specifying the Interaction Aspects of a Virtual Training Environment Using Virtual Reality Multi Flow Graphs”, Proceedings of 3rd Panhellenic Conference with International Participation, “Didactic of Mathematics and Informatics in Education”, Patras, May 9-11, Hellas (1997), 537-550.
163. V.C. Gerogiannis, A.D. Kameas and P.E. Pintelas, "On the integration of high-level timed Petri nets with schedulability analysis methods", 3rd Hellenic-European Conference on Mathematics and Informatics (HERMIS' 96), Athens, Greece, Sept. 26-28, 1996.
164. P. Pintelas, "Information representations in educational software", 3rd Hellenic-European Conference on Mathematics and Informatics (HERMIS' 96), Athens, Greece, Sept. 26-28, 1996.
165. P. Pintelas, "Educational Software Development Tools: Current Trends and Future Developments", CATE 96, The First International Conference on "Computers and Advanced Technologies in Education", Cairo, Egypt, March 18-20, 1996, pp 164-177.
166. C. Diplas, D. Giakovis, A. Kameas and P. Pintelas, "DrIVE: A Virtual Training Environment for Driving Behaviour", CATE 96, The First International Conference on "Computers and Advanced Technologies in Education", Cairo, Egypt, March 18-20, 1996, pp 191-200.
167. V. Gerogiannis, I. Zacharkis, A. Kameas and P. Pintelas, "An Intelligent Tutoring System for the Yourdon Real-Time Systems Development Methodology", CATE 96, The First International Conference on "Computers and Advanced Technologies in Education", Cairo, Egypt, March 18-20, 1996, pp 287-299.
168. D. Giakovis, I.D. Zaharakis, C. Diplas, A. Kameas, P. Pintelas, "MELLON: A Generator of Intelligent Tutoring Applications", CATE 96, The First International Conference on "Computers and Advanced Technologies in Education", Cairo, Egypt, March 18-20, 1996, pp 300-311.
169. I. D. Zaharakis, S. Vathis, P. Pintelas, "The User Interface of an Expert System Shell in an ITS Generator", CATE 96, The First International Conference on "Computers and Advanced Technologies in Education", Cairo, Egypt, March 18-20, 1996, pp 145-151.
170. Zaharakis I. D., Diplas C. N., Kameas A. D. and Pintelas P. E., “Specifying the interaction with an Expert System Shell using Interactive Multi Flow Graphs”, in Proceedings of the 5th Hellenic Conference of Informatics, Organized by the Greek Computer Society (GCS), December 7-9, 1995, Athens, Greece, pp. 601-613.
171. I. Doufexi, P. Pintelas and C. Alexopoulos, "A Courseware for Teaching LISP", Proceedings, 2nd Hellenic Conference on Didactis of Mathematics and Informatics in Education , Cyprus, April 1995, pp 643-653.
172. A. Mikropoulos, C. Diplas, D. Giakovis, A. Halkides and P. Pintelas, "Virtual Reality & Education: New Tool or New Methodology?", Proceedings 2nd Conference on Educational Informatics, Athens, November,11-12 1994, pp 57-67. (in Greek)
173. D. Giakovis, A. Kameas, P. Pintelas, "A comparative study of learning algorithms for artificial neural nets", 2nd Hellenic European Conference on Mathematics and Informatics (HERMIS'94), Athens, 22-24 Sept. 1994.
174. A. Kameas, V. Gerogiannis, K. Diplas, P. Pintelas, "Encapsulating multiple perspectives in interaction specification", Proceedings of 20th EUROMICRO Conference, Liverpool, UK, September 5-8, 1994, IEEE Computer Society Press, pp463-469.
175. A. Kameas, P. Pintelas, K. Diplas, "GEPRIAM: An authoring system for applications that teach methodologies", Proceedings 4th Hellenic Conference on Informatics, Patra, December 16-18, 1993 pp 129-140. (in Greek)
176. V. Gerogiannis, D. Giakovis, P. Pintelas, A. Kameas, "Expert systems in education", 1st Hellenic Conference on Didactics of Mathematics and Informatics in Education, Ioannina, Greece, October 20-23, 1993. (in Greek)
177. M. Crampes, P. Pintelas, A. Kameas, D. Karamitsas "A Large object-oriented multimedia database for education", Intenational Visual Literacy Association (IVLA) 1993 Symposium, Delphi, Greece, June 26-29, 1993.
178. P. Pintelas, A. Kameas, "Experience from Using Information Technology in the Training of Managers", 1st Workshop on "Information Systems in Greece", Athens, May 20, 1993. (Invited Speaker)
179. A. Koukoudakis, N. Pediotakis, P. Pintelas, "The computer as an educational tool", Proceedings of 9th Hellenic Conference on Mathematical Education, Patra, December 18-20, 1992, pp 256-288 (in Greek).
180. A. Kameas, S. Papadimitriou, P. Pintelas, "Modeling an Authoring Environment", International Conference on Modeling and Simulation, Beiging China, October 20-23, 1992. 
181. P. Pintelas, A. Kameas, M. Crampes, "Computer Based Tools for Methodology Teaching", Proceedings of ADCIS International Conference, Norfolk Virginia, November 8-11, 1992, pp 341-355.
182. A. Kameas, P. Pintelas, "VAS: A Frame-Based Modular Authoring Environment". Prague Congress on "Multimediality and Artificial Intelligence. Technologies and Users in the Europe of the next Ten Years", Prague, September 27-28, 1991. (Invited speaker)
183. P. Pintelas, "Development and Dissemination of IT Products; Problems and Experiences", Colloque Europeen Les Formations Multi-medias, Paris, 4-6 April 1990.
184. P.Pintelas, V.Karoussou, "Using Attribute Grammars as Specification and Design Tool", Accepted for presentation in HICSS-20, 1987.
185. P.Pintelas, S.Tragoudas, "LIPE: a Design Proposal for a Language Independent Programming Environment, Proceedinds of IASTED Applied Informatics, Grindelwald, Switzerland, Feb. 17-19, 1987, pp. 147-152.
186. N. Bourbakis, P.Pintelas, G.Alexiou, D.Christodoulakis, S.Zeinis, "Proposals for an Automatic Text Processing System(ATPS)", Int. IMACS Meeting DIGITECH 84, July 9-12, 1984, Proc. North Holland, IMACS 1985, pp. 235-240.
187. N. Bourbakis, P.Pintelas, G.Alexiou, S.Zeinis, "Efficient Methods for Preprocessing Greek Letters", Int. IMACS Meeting DIGITECH 84, July 9-12 1984, Proc. North Holland, IMACS 1985, pp.229-234.
188. P.Pintelas, "Classification and Coding of Data", Proc. Inter. Seminar on "Computers: Application in Industry and Management", Patras, July 29 - Aug. 17, 1979, pp.497-502.
189. P. Pintelas, "Introducing Data Base Concepts and Principles”, Proc. Inter. Seminar on "Computers: Applications in Industry and Management", Patras, July 29 - Aug. 17, 1979, pp.490-496.