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Web Page of

Stergios Papadimitriou


Address:

Karatasou 38, Kavala 65302, Greece

email

sterg@teikav.edu.gr

Work Position:

Professor, TEI of Kavalas,

Dept. Of Information Management

Agios Loukas, 654 04 Kavala

Tel. 6510-462323


Interests:

Computational Intelligence, Neural Networks, Bioinformatics, Data Mining, Nonlinear Dynamics, Java, Linux, Scala


My favourite project, scalalab:

http://code.google.com/p/scalalab/


SOFTWARE


JLab (An integrated mathematical programming environment in Java supporting Matlab like syntax)

Scalalab is preferable and much more powerful

jLab Java Source

jLab Java Source full version



Scalalab Source:

scalalabSrc.zip

Scalalab binary:

scalalab.zip

jLab Java executable [ execute with: java -jar kjLab.jar]


jLab Java executable [ execute with: java -jar jLab.jar]




jLab IET Software paper

jLab Book

SQL Query

SQL Query in Java [ execute with: java -jar dbQuery.jar]

JLab - Greek Documentation

jLab Greek Documentation

Clustering

KDGSOM.tar.gz

GNU Prolog in Java

JProlog.zip

GNU Prolog Linux

gprolog-1.2.16.rh.tar.gz

GProlog in RPM format

Greek keyboard switcher for Linux


'/usr/bin/xwg' -encoding Monotonic-X11 -SwitchKey space -SwitchModifier Ctrl

Greek keyboard switcher for Solaris (and C source code)


'/usr/bin/xwg' -encoding Monotonic-X11 -SwitchKey space -SwitchModifier Ctrl

WEKA (Java Data Mining)

weka-3-4-2.zip

Java Examples

JavaExamples.txt


Fedora Open-In-Terminal

nautilus-open-terminal-0.6-3.fc5.i386.rpm

MySQL Extras

mysql-gui-tools-5.0r3-linux-i386.tar.gz

MySQL world.sql example

world.sql





COURSES TEXT


Expert Systems Course Texts (.PDF format)

ExpertSystems.pdf

Expert Systems Course Texts (.html format)

ExpertSystems.html

Bioinformatics Course Texts (.PDF format)

Bioinformatics.pdf

Multimedia (.PDF format)

multimedia.pdf

Expert Systems Complementary

Feature Selection (featureSelection.pdf)

Data Mining (PDF format)

DataMining.pdf




Research Journals Publications

1 S.Papadimitriou, S.Mavroudi, L. Vladutu, A. Bezerianos, ' Ischemia Detection with a Self Organizing Map supplemented by Supervised Learning', IEEE Transactions On Neural Networks, Vol. 12, No. 3, p. 503-515, May 2001 NetSOM_IEEE.pdf

2 S. Papadimitriou, A. Bezerianos, T. Bountis, 'Secure Communication with Chaotic Systems of Difference Equations', IEEE Transactions On Computers, Vol. 46, No. 1, January 1997, p. 27-38 IEEETC.pdf

3 S. Papadimitriou, S. Mavroudi, L. Vladutu, A. Bezerianos, 'Generalized Radial Basis Networks Trained with Instance Based Learning For Data Mining of Symbolic Data', Applied Intelligence Journal, Vol. 16, No. 3 (May 2002), pp. 223-234 GRBF-APIN.pdf

4 S. Papadimitriou, S. Mavroudi, L. Vladutu, A. Bezerianos, G. Pavlides, 'The Network Self-Organizing Map for pattern classification, prediction and data mining of Large Data Sets', Applied Intelligence Journal, Vol. 16, No. 3 (May 2002), pp. 185-203 SnetSOM-APIN.pdf

5 S. Papadimitriou, A. Bezerianos, A. Bountis, 'Radial Basis Function Networks as Chaotic Generators for Secure Communication Systems', International Journal On Bifurcation and Chaos, Vol. 9, No. 1,1999, p. 221-232 RBFCrypt.pdf

6 A. Bezerianos, S. Papadimitriou, D. Alexopoulos, 'Radial Basis Function Neural Networks for the Characterization of Heart Rate Variability Dynamics, Artificial Intelligence in Medicine, Vol. 15,1999, p. 215-234

7 S. Papadimitriou, A. Kameas, G. Pavlides, 'Determining effective multiprocessor scheduling policies for repetitive real-time tasks', Microprocessing and Microprogramming, Vol. 39, 1993, p. 119-124

8 Basilis Boutsinas, Stergios Papadimitriou, Georgios Pavlides, 'Automatic Analysis, Verification and Synthesis of Rule-Based Real-Time Decision Making Systems with Machine Learning Assistance, In Lecture Notes in Computer Science, Perspectives of System Informatics, Springer-Verlang, 1996, p. 134-145

9 A. Kameas, S. Papadimitriou, G. Pavlides, 'Coupling interaction specification with functionality description', Lecture Notes in Computer Science, Vol. 753, November 1993, pp. 21-28 (L. Bass, Y. Gornoster and C. Unger eds. ( 3nd International Conference on Human-Computer Interaction, IWHCI93)

10 L. Vladutu, S. Papadimitriou,, S.Mavroudi, A. Bezerianos, 'Generalized RBF Networks trained with Instance Based Training for mining Symbolic Data', 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-01), April 16-18, 2001, Hong Kong, Edts. David Cheung, Graham J. Williams, Qing Li, Springer-Verlang, Lecture Notes in Artificial Intelligence, Advances in Knowledge Discovery and Data Mining, pp. 587-593

11 A. Kameas, S. Papadimitriou, P. Pintelas, 'Modeling and design of the multimedia subsystem of a distributed authoring environment', Microprocessing and Microprogramming 38, pp. 669-678, 1993

12 A. Kameas, S. Papadimitriou, P. Pintelas, G. Pavlides, 'IDFG: An interactive applications specification model with phenomenological properties', Microprocessing and Microprogramming 38, pp. 615-623, 1993

13 S. Papadimitriou, A. Bezerianos, 'Denoising Computer Performance Evaluation Measurements with the Wavelet Transform', Journal of Systems Architecture, Vol. 42, 1996, p. 55-65

14 S. Papadimitriou, D. Gatzounas, V. Papadopoulos, V. Tzigounis, A. Bezerianos, 'Denoising of the Fetal Heart Rate signal with non-linear filtering of the wavelet transform maxima', International Journal On Medical Informatics, Vol 44, 1997, p. 177-192 IJMI.pdf

15 S. Papadimitriou, A. Bezerianos, 'Nonlinear analysis of the performance and reliability of wavelet singularity detection based denoising for Doppler ultrasound fetal heart rate signals', International Journal On Medical Informatics. Vol. 53, 1999, p. 43-60

16 Mihai Popescu, Stergios Papadimitriou, Dimitrios Karamitsos, Anastasios Bezerianos, 'Adaptive Denoising and Multiscale Detection of the V Wave in Brainstem Auditory Evoked Potentials', Audiology & Neuro Otology, Vol. 4, 1999, p. 38-50

17 S. Papadimitriou, A. Bezerianos, T. Bountis, G. Pavlides, 'Secure Communication Protocols with Discrete NonLinear Chaotic Maps', Journal of Systems Architecture 47 (2001), 61-72 DNCM_JSA.pdf

18 A. Bezerianos, L. Vladutu, S. Papadimitriou, 'Hierarchical State Space Partitioning ith the Network Self-Organizing Map for the effective recognition of the ST-T Segment Change', IEEE Medical & Biological Engineering & Computing 2000, Vol 38, 406-415

19 S. Papadimitriou, T. Bountis, S. Mavroudi, A. Bezerianos, A Probabilistic Symmetric Encryption Scheme for very fast Secure Communication based on Chaotic Systems of Difference Equations', International Journal on Bifurcation & Chaos PrChaoticFinal.pdf

20 S. Mavroudi, S. Papadimitriou, L.Vladutu, A. Bezerianos, 'Gene Expression Analysis with a combination of supervised and unsupervised learning', Bioinformatics, Vol. 18, no. 11, 2002, Pages 1446-1453, 2002 BioinformaticsNetSOM.pdf

21 A. Ifantis, S. Papadimitriou, 'Support Vector Identification of Seismic Electric Signals', IJPRAI (International Journal Pattern Recognition and Artificial Intelligence), World Scientific, Vol. 17, No. 4 (June 2003),p. 545-566

22 Mavroudi S, Dragomir A, Papadimitriou S, et al., Integrating supervised and unsupervised learning in self organizing maps for gene expression data analysis, LECT NOTES COMPUT SC 2714: 262-270 2003

23 S. Papadimitriou, K. Terzidis, 'Symbolic Adaptive Neuro-Fuzzy Inference for Data Mining of Heterogenous Data', Intelligent Data Analysis (IDA) journal, Volume 7 (4), IOS Press, 2003, 327-346 IDA1_SANFIS.pdf

24 A. Ifantis, S. Papadimitriou, 'Nonlinear evaluation of the unpredictability of the Electrotelluric Field Variations Signal before major earthquakes', Int. Journal of Neural Systems, World Scientific Press, Vo 13, No 5, October 2003, 315-332

25 S. Papadimitriou, K. Terzidis, 'Growing Kernel-Based Self-Organized Maps trained with Supervised Bias', Intelligent Data Analysis (IDA) journal, Volume 8(2), IOS Press, 2004, 111-130 IDA2_KDGSOM.pdf

26 S. Papadimitriou, S.D. Likothanassis, 'Kernel-Based Self-Organized Maps trained with Supervised Bias for Gene Expression Data Analysis', Journal of Bioinformatics and Computational Biology (JBCB), Imperial College Press, Vol. 1, No. 4 (2004) 647-680 ijbcb-KDGSOMJan04.zip

27 Stergios Papadimitriou, Konstantinos Terzidis, 'Efficient and Interpretable Fuzzy Classifiers from Data with Support Vector Learning', Intelligent Data Analysis, Vol. 9, No. 6, 2005, pp 527-550

28 Stergios Papadimitriou, Konstantinos Terzidis, 'Mining Interpretable Fuzzy Rule Systems from Data with Support Vector Learning and Outer Product Fuzzy Rule Selection', WSEAS Transactions, Issue 4, Vo 2, April 2005, pp. 380-389

29 Stergios Papadimitriou, Konstantinos Terzidis, Seferina Mavroudi, Skarlas Lambros, Spiridon D. Likothanasis, 'Mutual Information Clustering for efficient Mining of Fuzzy Association Rules with application to Gene Expression Data Analysis', International Journal Artificial Intelligence Tools, World Scientific, Vol 15, No 2, April 2006, pp. 227-250, World Scientific

30 Stergios Papadimitriou, Konstantinos Terzidis, Seferina Mavroudi, Lambros Skarlas, Spiridon D. Likothanasis, Local Fuzzy Association Rules Discovery using a Kernel Map that exploits a priori knowledge, WSEAS Trans. On Information Science and Applications, Issue 7, Vo 2, July 2005 ISSN 1790-0832


31 Stergios Papadimitriou, Konstantinos Terzidis, Seferina Mavroudi, Skarlas Lambros, Spiridon D. Likothanasis, Discovering Interesting Fuzzy Rules using the Fuzzy Frequent Pattern Tree, WSEAS Trans. On Information Science and Applications, Issue 7, Vo 2, July 2005 ISSN 1790-0832


32 Stergios Papadimitriou, Konstantinos Terzidis, Seferina Mavroudi, Skarlas Lambros, Spiridon D. Likothanasis, Fuzzy rule based classifiers from SV Learning, WSEAS Transactions On Computers, Issue 7, Vo 4, July 2005, ISSN 1109-2750

33. 'Designing Support Vector Machine predictors for non-stationary data in the framework of Dynamical Systems theory', Stergios Papadimitriou, Konstantinos Terzidis, WSEAS Transactions on Signal Processing, Issue 1, Volume 1, October 2005, p. 132-140

34. 'The design and implementation of a Java based open source mathematical programming environment', Stergios Papadimitriou, Konstantinos Terzidis, WSEAS TRANSACTIONS on INFORMATION SCIENCE & APPLICATIONS, Issue 4, Volume 4, April 2007, ISSN 1709-0832, pp. 836-842

35. 'Scientific programming with Java classes supported with a scripting interpreter', Stergios Papadimitriou, IET Software, 2007, 1, (2), pp. 48-56

36. 'Computational Methods and Algorithms for Mass Spectrometry Based Differential Proteomics”, S. Mavroudi, S. Papadimitriou, S. Kossida, S.D. Likothanassis and A. Vlahou, Current Proteomics, Volume 4, Number 4, pp. 223-234, December 2007

37. 'jLab: integrating a scripting environment with Java technology for flexible and efficient computation” Stergios Papadimitriou, Konstantinos Terzidis, Computer Languages, Systems and Structures, Elsevier, in print



38 “Matlab-like Scripting for the Java Platform with the jLab environment”, Stergios Papadimitriou, Konstantinos Terzidis, WSEAS Transactions on Information Science and Applications, Issue 9, Volume 5, September 2008, pp. 1345-1354

39 “Scientific programming with an environment that combines effectively compiled and interpreted scripting at the Java platform”, Stergios Papadimitriou, Konstantinos Terzidis, WSEAS Transactions on Information Science and Applications, Issue 11, Volume 5, November 2008, pp. 1511-1520


40 “Scientific Scripting for the Java Platform with jLab”, Stergios Papadimitriou, Konstantinos Terzidis, Seferina Mavroudi, Spiridon Likothanasis, IEEE Computing in Science and Engineering, July-August 2009, pp. 50-60






    Book Chapters

  1. A. Bezerianos, S. Papadimitriou, 'A study of the Performance and Reliability of Denoising with Non-Linear Analysis Tools', Order and Chaos, Fifth Volume, Eds Pneumatikos, 1999, pp. 253-268

2. Stergios Papadimitriou, 'Data Mining of Gene Expression Data with Kernel-Based Self-Organized Maps trained with Supervised Bias', Kluwer Academic Press, Business and Technology of the New Millennium, invited author, p. 272-288




Conferences

1 S. Papadimitriou, A. Kameas, P. Fitsilis, G. Pavlides, 'A new compression technique for tools that use data flow graphs to model distributed real-time applications', In Proceedings of the fifth international conference on software engineering and its applications, Toulouse, December 7-11, 1992

2 A. Kameas, S. Papadimitriou, G. Pavlides, 'Coupling interaction specification with functionality description', Proceedings of the 1993 East-West International Conference on HCI, August 3-6, 1993, Moscow, Russia

3 S. Papadimitriou, G. Pavlides, A. Bezerianos, T. Bountis, 'Chaotic Systems of Difference Equations for Real-Time Encryption', 1995 IEEE Workshop On Nonlinear Signal and Image Processing, June 20-22, 1995, pp. 145-149

4 S. Papadimitriou, A. Bezerianos, T. Bountis, 'Effectiveness of Encryption with Chaotic Systems with Large Parameter Spaces', 1996 IEEE Workshop On Statistical Signal and Array Processing, June 22-24, 1996, p. 566-569

5 S. Papadimitriou, D. Gatzounas, V. Papadopoulos, V. Tzigounis, A. Bezerianos, 'Fetal Heart Rate Signal Denoising by Processing the Wavelet Transform Modulus Maxima', 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 31 October-3 November 1996, Amsterdam, The Netherlands, ISBN 90-9010005-9 (CD-ROM)

6 S. Papadimitriou, V. Papadopoulos, D. Gatzounas, V. Tzigounis, A. Bezerianos, 'The Performance and Reliability of Wavelet Denoising for Doppler Ultrasound Fetal Heart Rate Signal Preprocessing', Medical Informatics Europe, C. Pappas et al. (Eds.), IOS Press. 1997, p. 561-565

7 A. Bezerianos, M. Popescu, S. Papadimitriou, D. Karamitsos, 'Multiscale detection of the V Wave in Brainstem Auditory Evoked Potentials with the Wavelet Transform', XVI World Congress of Otorhinolaryngology, Head and Neck Surgery, Sydney Australia, 2-7 March 1997, p.47-51 (eds G. McCafferty, W.Coman, R. Carolli), M. Editore, Bolognia, Italy, p.47-51, 1997

8 S. Papadimitriou, V. Papadopoulos, A. Bezerianos, 'The effect of wavelet singularity detection based denoising on the nonlinear parameters of the FHR signals', IASTED Int Conf. Signal Processing and Communication, ICSPC, 238-231, 11-13 Feb. 1998, Las Palmas,Gran Canaria, Spain, 1998

9 A. Bezerianos, T. Bountis, S. Papadimitriou, G. Pavlides, 'Protocols for Secure Communications with Discrete NonLinear Chaotic Maps', IEEE 3rd World Multiconference CSCC, July 4-8 1999, Athens, pp. 215-219

10 S. Papadimitriou, A. Bezerianos, L. Vladutu, S.Mavroudi, 'Combination of supervised and unsupervised learning for ischemia detection', presented to the Int. Conference On Computational Intelligence, Slovakia, ISCI 2000, 29 August -1 September 2000

11 Vladutu, R. Vladutu, S. Papadimitriou, A. Bezerianos, 'Neural Networks Based Data Mining Tool for Medical Databases', Second European Symposium and Third TEMPERE Workshop on Biomedical Enginnering and Medical Physics, Department of Medical Physics, University of Patras, Greece, 6-8 October 2000

12 S.Papadimitriou, A.Bezerianos,L.Vladutu,S.Mavroudi, G.Pavlides 'Generalized Radial-Basis Function  Neural Networks for Data Mining of Symbolic Data' In Studies in Fuzziness and Soft Computing. P. Sincak/Jan Vascak(Eds.): Physica Verlag,  A Springer Verlag Company Vol.54, pp 23-27,2000 

13 S. Papadimitriou, L.Vladutu, S. Mavroudi, A. Bezerianos 'Detection of Ischemic Episodes with a Combination of Unsupervised and Supervised Learning', In Advances in Soft Computing :The State of the Art in Computational Intelligence, P. Sincak, J. Vascak, V. Kvasnicka, R. Mesiar (eds) Physica Verlag,  A Springer Verlag Company, pp 39-43, 2000

14 S. Papadimitriou, A. Bezerianos, L. Vladutu, S.Mavroudi, G. Pavlides, 'Generalized Radial Basis Function Neural Networks for data mining of symbolic data', presented to the Int. Conference On Computational Intelligence, Slovakia, ISCI 2000, 29 August -1 September 2000

15 S. Papadimitriou, S. Mavroudi and A. Bezerianos, 'Ischemia Detection using Supervised Learning for Hierarchical Neural Networks based on Kohonen -Maps', by L. Vladutu, presented at the 23rd IEEE-EMBS Conference, Istanbul, October 2001.

16 M. Stavrinou, S. Papadimitriou, A. Bezerianos, P. Papathanasopoulos, 'Dynamic Self-Organized Learning Structures for Single trial Analysis of Visual Evoked Potentials, IEEE DSP, Santorini, July 2002, Volume II, pp. 1125-1128

17 A. Ifantis, S. Papadimitriou, 'Support Vector evaluation of the unpredictability of the Electrotelluric Field Variations Signal before major earthquakes', IEEE DSP, Santorini, July 2002, Volume II, pp. 917-922

18 Seferina Mavroudi, Stergios Papadimitriou, Anastasios Bezerianos, Gene Expression Analysis by a novel Dynamically Extendable Self-Organized Map integrating Unsupervised And Supervised learning, RECOMB2002, Poster Abstract

19 M. Stavrinou, S.Papadimitriou, A. Bezerianos,P. Papathanasopoulos, ' AN ADAPTIVE - GROWN Self-Organizing Map for clustering of Evoked Potential Single Trials', 3rd European Symposium on Biomedical Engineering and Medical Physics1st Summer School on Biomedical Engineering, Patras 27th August- 1st September 2002, Venue: Conference Centre, University of Patras

16 S. Papadimitriou, S. Mavroudi and A. Bezerianos, 'Ischemia Detection using Supervised Learning for Hierarchical Neural Networks based on Kohonen -Maps', by L. Vladutu, presented at the 23rd IEEE-EMBS Conference, Istanbul, October 2001.

17 S. Papadimitriou, 'Applications of Non-Linear Control Techniques to Signal Processing', Technical Chamber of Greece, Advanced Technologies for Automatic Control, pp. 158-164, 1995

18. A. Kameas , S. Papadimitriou, K. Apostolas and G. Pavlidis, 'SEPDS: an environment for prototyping distributed systems', 4th Pannelenic Conference on Informatics, Patra 16-18 December 1993, pp. 535-546


19. M. Stavrinou, S.Papadimitriou, A. Bezerianos,P. Papathanasopoulos, ' AN ADAPTIVE - GROWN Self-Organizing Map for clustering of Evoked Potential Single Trials', 3rd European Symposium on Biomedical Engineering and Medical Physics1st Summer School on Biomedical Engineering, Patras 27th August- 1st September 2002, Venue: Conference Centre, University of Patras

20. S. Papadimitriou K. Terzidis, 'Mining Efficient and Interpretable Fuzzy Classifiers from Data with Support Vector Learning', WSEAS, Buenos Aires, March 1-3, 2005

21 Mining of Fuzzy Association Rules using a Kernel-based Self-Organized Map for partitioning large databases, Stergios Papadimitriou, Konstantinos Terzidis, Seferina Mavroudi, Spiridon D. Likothanassis, WSEAS Conference, Soft Computing, Optimization, Simulation & Manufacturing Systems (SOSM 2005), Cancun Mexico, May 11-14, 2005

22 The Fuzzy Frequent Pattern Tree, Stergios Papadimitriou, Konstantinos Terzidis, Seferina Mavroudi, Lambros Skarlas And Spiridon Likothanasis, 9th WSEAS International Conference on Computers (part of the 9th CSCC Multiconference), Vouliagmeni, Athens, Greece, July 14-16

23 The Fuzzy Frequent Pattern Tree for Mining Large Databases, Stergios Papadimitriou, Konstantinos Terzidis, Seferina Mavroudi, Spiridon D. Likothanassis, WSEAS Conference, Soft Computing, Optimization, Simulation & Manufacturing Systems (SOSM 2005), Cancun Mexico, May 11-14, 2005

24 Efficient and Interpretable Fuzzy Classifiers from Data with Support Vector Learning, Stergios Papadimitriou, Konstantinos Terzidis, Seferina Mavroudi, Lambros Skarlas And Spiridon Likothanasis, 9th WSEAS International Conference on Computers (part of the 9th CSCC Multiconference), Vouliagmeni, Athens, Greece, July 14-16

25 Mutual Information Clustering for efficient Mining of Fuzzy Association Rules with application to Gene Expression Data Analysis, Stergios Papadimitriou, Konstantinos Terzidis, Seferina Mavroudi, Lambross Skarlas And Spiridon Likothanasis, 9th WSEAS International Conference on Computers (part of the 9th CSCC Multiconference), Vouliagmeni, Athens, Greece, July 14-16

26 'Mutual Information Clustering for efficient Mining of Fuzzy Association Rules with application to Gene Expression Data Analysis', Stergios Papadimitriou, Konstantinos 4th WSEAS Int. Conf. On NON-LINEAR ANALYSIS, NON-LINEAR SYSTEMS AND CHAOS (NOLASC '05), Sofia, Bulgaria, October 27-29, pp. 60-67

27 'Simple Fuzzy Rules Extracted with Support Vector Learning', Stergios Papadimitriou, Seferina Mavroudi, Konstantinos Terzidis, Panagiotis Katsanos, Spiridon Likothanassis, IASTED International Conference on Artificial Intelligence and Applications (AIA 2006), February 13-2006, Innsbruck, Austria.

28.  'Clustering with Kernel-Based Self-Organized Maps trained with Supervised Bias', Stergios Papadimitriou, Konstantinos Terzidis, 5th WSEAS Int.  Conf. On Signal Processing, Session: Computational Intelligence Techniques in Signal Processing, WSEAS Conference, Instabul, Turkey, May 27-29,  2006

29. 'A Java based scientific programming environment with a scripting interpreter supported with Java classes', Stergios Papadimitriou, Konstantinos Terzidis, 6th WSEAS International Conference on Applied Computer Science (ACS'06), Tenerife, Canary Islands, Spain December 16-18, 2006, pp. 255-262

30 'Comparative Evaluation of the recent Linux and Solaris kernel architectures', Stergios Papadimitriou, Konstantinos Terzidis, 11th WSEAS International Conference on Computers, Agios Nikolaos, Crete, Greece, July 26-28, 2007, p. 459-462


31 STERGIOS PAPADIMITRIOU, DIMOSTHENIS PAPPAS, KONSTANTINOS TERZIDIS , “Scientific programming at the Java platform with a combination of a scripting interpreter with the compiled Groovy engine ”, 8th WSEAS International Conference on APPLIED INFORMATICS and COMMUNICATIONS (AIC'08), Rhodes, Greece, August 20-22, 2008, pp. 41-47



32 STERGIOS PAPADIMITRIOU, DIMOSTHENIS PAPPAS, KONSTANTINOS TERZIDIS, “Scientific Scripting for the Java Platform with a Matlab-like Scripting Engine” , 8th WSEAS International Conference on SYSTEMS THEORY and SCIENTIFIC COMPUTATION (ISTASC’08) , Rhodes, Greece, August 20-22, pp. 43-48