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Home Members Panagiotis E. Pintelas Journals and book chapters
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Journals and book chapters

 

1. I.E. Livieris and P. Pintelas. A limited memory descent Perry conjugate gradient method. Optimization Letters, (accepted for publication), 2015.

2. 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.

3. 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.

4. Tassos A. Mikropoulos, Demetrios G. Sampson, Alexandros Nikopoulos, Panayotis Pintelas, “The evolution of Educational Technology in Greece based on a bibliometric study”, in Volume “Research on e-Learning and ICT in Education” by Springer, pp 15-24, 25 June 2014 .

5. 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.

6. 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.

7. 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

8. 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.

9. 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

10. 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.

11. 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)

12. 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.

13. 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.

14. 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

15. 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.

16. M.S. Apostolopoulou, D.G. Sotiropoulos and P. Pintelas. Solving the quadratic trust-region subproblem in a low-memory BFGS framework, Journal of Optimization Methods and Software, Volume 23, Issue 5, pp. 651-674, October 2008.

17. 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/ ).

18. 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.

19. 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.

20. 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.

21. 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.

22. D. N. Kanellopoulos, P. E. Pintelas, S. Giannoulis, QoS in Wireless Multimedia Networks, Annals of Mathematics, Computing and Teleinformatics (AMCT), 1(4):66-75.

23. 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.

24. 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.

25. 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].

26. 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

27. 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

28. S. Kotsiantis, P. Pintelas, Selective Averaging of Regression Models, Annals of Mathematics, Computing & TeleInformatics, Vol 1, No 3, 2005, pp. 66-75.

29. 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

30. 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.

31. D. Kanellopoulos, S. Kotsiantis, P. Pintelas, Considering the Educational Semantic Web, Themes in Education Journal, Vol 7, Issue2, pp.145-164, Jan. 2007.

32. 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.

33. S. Kotsiantis, P. Pintelas, Combining Bagging and Boosting, International Journal of Computational Intelligence, Vol. 1, No. 4 (324-333), 2004.

34. 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.

35. 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

36. 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

37. 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.

38. 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.

39. 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.

40. 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).

41. S. Kotsiantis, D. Kanellopoulos, P. Pintelas, Multimedia Mining, WSEAS Transactions on Systems, Issue 10, Volume 3, December 2004, pp. 3263-3268.

42. 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).

43. 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..

44. S. B. Kotsiantis, P. E. Pintelas, Bagged Voting Ensembles,. Lecture Notes in Computer Science, (LNCS), Vol. 3192, pp.168-177, 2004.

45. 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.

46. 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.

47. 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.

48. 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.

49. 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.

50. S. Kotsiantis, C. J. Pierrakeas, I. D. Zaharakis and P. E. Pintelas, Efficiency of Machine Learning Techniques in Predicting   Students' Performance in Distance Learning Systems, Volume recent advances in mechanics and the related fields  in honour of Prof. C. Goudas, university of patras, pp 297-306, 2003.

51. Ch. Pierrakeas, M. Xenos and P. Pintelas, Evaluating and improving educational material and tutoring aspects, International Journal of "Studies in Educational Evaluation", 29(4): 335-349, 2003.

52. C. Panagiotakopoulos, C. Pierrakeas and P. Pintelas, Educational Electronic Information Sites: Axes and Criteria, MENTOR Journal of Scientific and Educational Research, Issue No 6, pp 75-87, 2002 (in Greek) http://www.elemedu.upatras.gr/panagiotakopoulos/25.pdf .

53. M. Xenos, C. Pierrakeas and P. Pintelas, A survey on student dropout rates and dropout causes concerning the students in the Course of Informatics of the Hellenic Open University, Computers and Education Journal, 39(2002) pp 361-377.

54. John Halaris, Spiros-Theodoros Geropoulos and Panayotis Pintelas, E-Learning using Multimedia Tele-Teaching Labs, THEMES in Education, 3:2, 141-164,2002.

55. C. N. Diplas and P. Pintelas, “Design of Interactivity in Virtual Reality Applications with Emphasis on Educational Software Using Formal Interaction Specification”, Journal of Education and Information Technologies (JEIT), 5:4 (2000), pp 291-304. https://www.academia.edu/1951334/Design_of_Interactivity_in_Virtual_Reality_Applications_with_Emphasis_on_Educational_Software_Using_Formal_Interaction_Specification?auto_accept_coauthor=true

56. A. Kameas, P. Pintelas, T. A. Mikropoulos, A. Katsikis and A. Emvalotis, “EIKON: Teaching a high-school technology course with the aid of virtual reality”, Journal of Education and Information Technologies (JEIT), 5:4 (2000), pp 305-315.

57. V.C. Gerogiannis, A.D. Kameas and P.E. Pintelas, "REAL-MFG: A Petri-net based model focusing on the integration of schedulability and fault tolerance", in Reliability, Quality and Safety of Software-Intensive Systems, IFIP and Chapman & Hall pp 263-268 (D. Gritzalis - Ed.) selected papers from IFIP TC5 WG5.4, 3rd  International Conference on Reliability, Quality and Safety of Software-Intensive Systems - ENCRESS' 97.

58. I. D. Zaharakis. A. D.  Kameas and P. E. Pintelas, “A Hybrid Expert System as an Embedded Module in Tutoring Systems”, Journal of Digital Creativity (Former Intelligent Tutoring Media), 8(2), 1997, pp 47-58.

59. V. Gerogiannis, A. Kameas and P. Pintelas, “Comparative Study and Categorization of High Level Petri Nets”, Journal of Systems and Software (JSS), 43,1998, pp 133-160.

60. A. Kameas and P. Pintelas, "The functional architecture and interacion model of a GENerator of Intelligent TutORing applications", Journal of Systems and Software (JSS), 36(3), 1997, pp 233-245.

61. P. Fitsilis, A. Kameas and P. Pintelas, "ORIENTMAN: An Intelligent Tutor for the ORIENT Software Design Methodology", Software Engineering Journal, July 1996 issue, pp 206-214.

62. I. D. Zaharakis. A. D.  Kameas and P. E. Pintelas, "MeT: The Expert Methodology Tutor of GENITOR", Microprocessing and Microprogramming Journal, Vol.  40 (1994), pp 885-860.

63. P. Pintelas, A. Kameas, "Experience from Using Information Technology in the Training of Managers", European Journal of Information Systems.(EJIS) Vol. 2, No. 2, pp 129-137, 1993. Also presented by invitation at 1st Workshop on "Information Systems in Greece", Athens, May 20, 1993.

64. A. Kameas S. Papadimitriou P. Pintelas, "Modeling and design of the multimedia subsystem of a distributed authoring environment", Microprocessing and Microprogramming Journal, Vol. 38 (1993), pp 669-678.

65. A. Kameas S. Papadimitriou P. Pintelas and G. Pavlides, "IDFG: An interactive application specification model with phenomenological properties", Microprocessing and Microprogramming Jounal, Vol. 38 (1993) pp 615-623.

66. K. P. Ventouris and P. E. Pintelas, "A Practical Assessment of Formal Specification Approaches for Data Abstractions", Journal of Systems and Software (JSS), 17, 169-188 (1992).

67. C. Comar, P. Pintelas, "An Environment for Teaching Program Design by Exercises", Journal of Microprocessing and Microprogramming 28 (1989) 259-264.

68. P. Pintelas, K. Ventouris and M. Papassimakopoulou, "A Translator from Small Euclid to Pascal", ACM SIGPLAN, Vol 24, No 5, May 1989, pp. 93-101.

69. P. Pintelas, S. Tragoudas, "A Comparative Study of Five Language Independent Programming Environments", Journal of Systems and Software (JSS), 14, 3-15 (1991).

70. P. Pintelas, V. Kallistros, "An Overview of some Software Design Languages", Journal of Systems and Software (JSS), 10, 125-138 (1989).

71. M.Papazoglou, P.Pintelas, "A Versatile Kernel Proposal for a Multimicro-processor System Environment", in Microprocessing and Microprogramming Journal 22(1988) pp. 11-21.

72. M.Papazoglou, P.Pintelas, "A Hierarchical Multimicroprocessor System for Object Oriented Languages", Microprocessing and Microprogramming Journal, Vol. 19(1987) pp.129-141.

73. P.Pintelas, "Common Programming Problems", Computer Programming Management, 15-01-10, 1987, pp. 1-10. Also selected for inclusion in the "Handbook of Systems Management:    Development and Support", Auerbach Publishers, U.S.A.

74. G.Garside, P.Pintelas, "An Algol-68 Package for Implementing Graph Algorithms", Computer Journal, No.3, Vol.23, UK, 1980, pp. 237-242.

75. P.Pintelas, "Lecture Notes on Program Schemas", Computer Education, June 1978.

 

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