
Department of
Informatics & Computer
Engineering

Paris A. Mastorocostas
Professor

PUBLISHED WORK 


Journal papers 

Ê.
Evangelidis, T. Papadopoulos, K. Papatheodorou,
P. Mastorocostas,
C.
Hilas,
3D Geospatial Visualizations: Animation and Motion Effects on Spatial
Objects,
Computers and
Geoscience,
vol. 111, pp. 200212, February 2018.

D.
Varsamis, E. Outsios, P. Mastorocostas,
A Hybrid Learning Algorithm for Locally Recurrent Neural Networks,
Contemporary
Engineering Sciences,
vol. 11, no 1, pp. 113, 2018.

P.
Mastorocostas,
C.
Hilas,
D. Varsamis, S. Dova,
Telecommunications Call Volume Forecasting with a BlockDiagonal Recurrent
Fuzzy Neural Network,
Telecommunication Systems,
vol. 63, no 1, pp. 1525, 2016.

D. Varsamis, N. Karampetakis, P. Mastorocostas,
Transformations Between TwoVariable Polynomial Bases with Applications,
Applied Mathematics & Information Sciences,
vol. 10, no 4, pp. 13031311, 2016.

S.
Mylonas,
D.
Stavrakoudis,
J.
Theocharis,
P.
Mastorocostas,
Classification of Remotely Sensed Images Using the GeneSIS Fuzzy
Segmentation Algorithm,
IEEE Transactions on Geoscience and Remote Sensing,
vol. 53, nï 10,
pp. 53525376, October 2015.

S.
Mylonas,
D.
Stavrakoudis,
J.
Theocharis,
P.
Mastorocostas,
A RegionBased GeneSIS Segmentation Algorithm for Classification of
Remotely Sensed Images,
Remote Sensing,
vol. 7, pp. 24742508,
2015.

C.
Hilas, P. Mastorocostas,
I. Rekanos,
Clustering of
Telecommunications Users Profiles for Fraud Detection and Security
Enhancement in Large Corporate Networks: A Case Study,
Applied Mathematics & Information Sciences,
vol. 9, no 4, pp. 17091718, 2015.

D. Varsamis, N. Karampetakis, P. Mastorocostas,
An Optimal Bivariate Polynomial Interpolation Basis for the Application of the
EvaluationInterpolation Technique,
Applied Mathematics & Information Sciences,
vol. 8, no 1, pp. 117125, 2014.

P. Mastorocostas,
C. Hilas,
SCOLSFuM:
A Hybrid
Fuzzy Modeling Method for Telecommunications TimeSeries Forecasting,
Informatica,
vol. 25, no 2, pp.
221239, 2014.

P.
Mastorocostas,
C.
Hilas,
D. Varsamis, S. Dova, A BlockDiagonal
Recurrent Neural Network for Telecommunications Call Volume Forecasting,
International Journal
on Advances in Computing and Communication Technologies,
vol. 3, iss. 1, pp. 711, 2013.

P.
Mastorocostas,
C.
Hilas,
D. Varsamis, S. Dova,
A
Recurrent Neural Networkbased
Forecasting System for Telecommunications Call Volume,
Applied Mathematics & Information Sciences,
vol. 7,
no 5, May, pp. 16431650,
September 2013.

C.
Hilas,
I. Rekanos,
P.
Mastorocostas,
Change
Point Detection in Time Series Using Higher Order Statistics: A Heuristic
Approach,
Mathematical
Problems in Engineering,
doi: 10.1155/2013/317613, June 2013.

P. Mastorocostas,
C. Hilas,
ReNFFor:
A Recurrent Neurofuzzy Forecaster for Telecommunications
Data,
Neural Computing and Applications,
vol. 22, iss. 78, pp. 17271734, June 2013.

P. Mastorocostas,
C. Hilas,
A
Computational Intelligencebased Forecasting System for Telecommunications
Time Series,
Engineering Applications of Artificial Intelligence,
vol.
25, iss. 1, pp. 200206, February 2012.

P. Mastorocostas, C. Hilas,
A
BlockDiagonal Recurrent Fuzzy Neural Network for System Identification,
Neural Computing and Applications,
vol. 18, no 7, pp. 707717, October 2009.

P. Mastorocostas, D.
Stavrakoudis, J. Theocharis,
A
Pipelined Recurrent Fuzzy
Model for RealTime Analysis
of Lung Sounds, Engineering Applications of Artificial Intelligence,
vol. 21, iss. 8, pp. 13011308, December 2008.

C. Hilas,
P. Mastorocostas, Án Application of
Supervised and Unsupervised Learning Approaches to Telecommunications
Fraud Detection, KnowledgeBased Systems,
vol. 21, iss. 7, pp.721726, October 2008.

P. Mastorocostas, D. Varsamis, C. Hilas, C. Mastorocostas,
A Generalized TakagiSugenoKang Recurrent FuzzyNeural Filter for
Adaptive Noise Cancellation, Neural Computing and Applications,
vol. 17, no 56, pp. 521529, October 2008.

P. Mastorocostas,
Simulated
Annealing Dynamic RPROP for Training Recurrent Fuzzy Systems, Advances in Fuzzy Sets and Systems,
vol. 2, iss. 3, pp. 283300, October 2007.

P. Mastorocostas, D. Varsamis, C. Mastorocostas, C. Hilas,
A
Dynamic Fuzzy Model for Processing Lung Sounds, IEE Electronics Letters,
vol. 43, iss. 6, pp. 320322, March 2007.

P.
Mastorocostas,
J.
Theocharis,
A
Dynamic FuzzyNeural Filter
for
Separation of Discontinuous Adventitious Sounds from Vesicular Sounds,
Computers in Biology and Medicine,
vol. 37, pp. 6069, 2007.

P.
Mastorocostas,
J.
Theocharis,
A
Stable Learning Algorithm for BlockDiagonal Recurrent Neural Networks:
Application to the Analysis of Lung Sounds,
IEEE Transactions on Systems, Man, and Cybernetics,
Part B: Cybernetics,
vol. 36,
no
2, pp.
242254,
April
2006.

P.
Mastorocostas,
A
Recurrent Fuzzy Filter for the Analysis of Lung Sounds,
Fuzzy Sets and Systems,
vol. 157,
iss. 4,
pp.
578594,
February
2006.

P.
Mastorocostas,
Resilient Back Propagation Learning Algorithm for
Recurrent Fuzzy Neural Networks,
ÉÅÅ Electronics Letters,
vol.
40,
no
1,
pp.
5758,
January
2004.

P.
Mastorocostas,
J.
Theocharis,
An Orthogonal Least Squares Method for Recurrent FuzzyNeural Modeling,
Fuzzy Sets and Systems,
vol. 140,
iss.
2,
pp. 285300,
December
2003.

P.
Mastorocostas,
J.
Theocharis,
A
Recurrent Fuzzy
Neural
Model for Dynamic System Identification,
IEEE Transactions on Systems, Man, and Cybernetics,
Part B: Cybernetics,
vol. 32, no 2, pp. 176190, April 2002.

P. Mastorocostas, J. Theocharis, V. Petridis,
A Constrained
Orthogonal Least Squares Method for Generating TSK Fuzzy Models:
Application to ShortTerm Load Forecasting, Fuzzy Sets and Systems,
vol. 118,
iss.
2,
pp.
3553,
March 2001.

P. Mastorocostas, Y. Tolias, J. Theocharis, L. Hadjileontiadis, S.
Panas, An Orthogonal Least SquaresBased Fuzzy Filter for RealTime Ánalysis of Lung Sounds, IEEE Transactions on Biomedical Engineering,
vol. 47, no 9, pp. 11651176, September 2000.

P. Mastorocostas, J. Theocharis, FUNCOM: A Constrained Learning
Algorithm for Fuzzy Neural Networks, Fuzzy Sets and Systems, vol.
112, iss. 1, pp. 126, May 2000.

P. Mastorocostas, J. Theocharis, S. Kiartzis, A. Bakirtzis,
A
Hybrid Fuzzy Modeling Method for Short Term Load Forecasting,
Mathematics and Computers in Simulation, vol. 51, iss. 34, pp.
221232, January 2000.

P. Mastorocostas, J. Theocharis, A. Bakirtzis,
Fuzzy Modeling for
Short Term Load Forecasting Using an Orthogonal Least Squares Method,
ÉÅÅÅ Transactions on Power Systems, vol. 14, no 1, pp. 2936, February
1999.

N. Margaris, P. Mastorocostas, On the Nonlinear Behaviour of the Analog
Phase Locked Loop: Synchronization,
IEEE Transactions on Industrial Electronics, vol. 43, no 6, pp.
621629, December 1996.

Book chapters and publications in collective volumes


P. Mastorocostas, C. Hilas,
Lecture Notes
in Electrical Engineering
(Emerging Trends in Computing, Informatics, Systems
Science, and Engineering),
vol. 151,
Springer, 2012.

P. Mastorocostas, C. Hilas,
Lecture Notes
in Computer Science,
vol. 6675,
Springer, 2011.

P. Mastorocostas, C. Hilas,
Innovations
and Advanced Techniques in Systems, Computing Sciences and Software
Engineering,
Editor: K. Elleithy, Springer, 2008.

P. Mastorocostas, D. Varsamis, C. Mastorocostas, C. Hilas,
Lecture Notes
in Computer Science,
vol. 4669,
Springer,
2007.

P. Mastorocostas, D. Varsamis, C. Mastorocostas, C. Hilas,
Advances and Innovations in Systems, Computing Sciences and Software
Engineering,
Editor: K. Elleithy, Springer, 2007.

P.
Mastorocostas, J. Theocharis, S. Kiartzis, A. Bakirtzis,
Computational Intelligence in Systems and Control Design and Applications,
Editor: S.G. Tzafestas, Kluwer Academic Publishers, 2000.



D. Varsamis, C. Talagkozis, A. Tsimpiris, P. Mastorocostas,
Á Parallel Implementation of KMeans in Matlab,
Proceedings of 19^{th}
International Conference on Advances in Distributed and Parallel Computing
(ICADPC 2017),
Istanbul, Turkey, October 2017.

S. Kazarlis, J. Kalomiros, V. Kalaitzis, D. Bogas, P. Mastorocostas,
A. Balouktsis, V. Petridis,
Reconfigurable HyperStructures for Intrinsic Digital Circuit Evolution,
Proceedings of 8^{th}
International Conference on Advances in Circuits, Electronics and
MicroElectronics (CENICS 2015),
Venice, Italy, August 2015

D. Stavrakoudis, S. Mylonas, C. Topalogou, J. Theocharis, P.
Mastorocostas,
Exploiting the Interpretability of Fuzzy Rulebased Classifiers for
Analyzing Hyperspectral Remotely Sensed Data,
Proceedings of 19^{th}
International Conference on Circuits, Systems, Communications and
Computers,
Zakynthos, Greece, July 2015.

S.
Kazarlis, J. Kalomoiros, P. Mastorocostas, V. Petridis, A. Balouktsis, V.
Kalaitzis, A. Valais,
A Method
for Simulating Digital Circuits for Evolutionary Optimization,
Proceedings of
10th International Joint Conferences on Systems, Computing Sciences and
Software Engineering,
December 2014.

C.
Topaloglou,
S.
Mylonas, D. Stavrakoudis,
P. Mastorocostas,
J. Theocharis,
Accurate
Crop Classification Using Hierarchical Fuzzy Rulebased Systems,
Proceedings of
2014 SPIE International Conference on Remote Sensing,
Amsterdam, The Netherlands, September 2014.

D. Varsamis, C. Talagkozis, P. Mastorocostas, E. Outsios,
The Performance of the MATLAB Parallel Computing Toolbox in Specific
Problems,
Proceedings of 18^{th} International Conference on Circuits,
Systems, Communications and Computers, Santorini, July 2014.

S.
Mylonas, D. Stavrakoudis, J. Theocharis, P. Mastorocostas,
SpectralSpatial Classification of Remote Sensing
Images Using a Regionbased GeneSIS Segmentation Algorithm,
Proceedings of
21^{rd} IEEE International Conference on Fuzzy Systems,
Beijing, China, July 2014, pp. 19761984.

S.
Mylonas, D. Stavrakoudis, C. Topalogou, J. Theocharis, P. Mastorocostas,
A
Watershedbased SpectralSpatial Segmentation and Classification Scheme
for Remote Sensing Images,
Proceedings of
5^{th} GEOBIA,
Thessaloniki, May 2014, pp. 335338.

C. Hilas,
S.
Kazarlis, I. Rekanos, P. Mastorocostas,
A Genetic Programming Approach to Telecommunications
Fraud Detection and Classification, Proceedings of
International Conference on Circuits, Systems, Signal Processing,
Communications and Computers,
Venice, Italy, March 2014, pp. 7783.

P. Mastorocostas,
C. Hilas, D. Varsamis, S. Dova, A BlockDiagonal
Recurrent Neural Network for Telecommunications Call Volume Forecasting,
Proceedings of
International Conference on Computer Science and Electronics Engineering,
Dubai, U.A.E., ISBN: 9788192710419, November 2013, pp. 711.

P. Mastorocostas, C. Hilas, D. Varsamis, S. Dova,
A
Telecommunications Call Volume Forecasting System based on a Recurrent
Fuzzy Neural Network,
Proceedings of
2013
IEEE International
Joint
Conference on
Neural Networks,
Dallas, U.S.A., August 2013, doi:
10.1109/IJCNN.2013.6707102.

D.
Varsamis, P. Mastorocostas, A. Papakonstantinou, N.
Karampetakis, A Parallel Searching Algorithm for the Insetting
Procedure in MATLAB Parallel Toolbox, Proceedings of
Federated Conference
on Computer Science and Information Systems, Wroclaw, Poland, September 2012,
pp. 587593.

P. Mastorocostas,
C. Hilas, S. Dova, D. Varsamis, A
TSKbased Fuzzy System for Telecommunications Timeseries Forecasting,
Proceedings of
6^{th}
IEEE International Conference on Intelligent Systems, Sofia, Bulgaria,
vol. I, September 2012,
pp. 146151.

P. Mastorocostas,
C. Hilas, S. Dova, D. Varsamis, Forecasting of Telecommunications
Timeseries via an Orthogonal Least Squaresbased Fuzzy
Model,
Proceedings of
21^{st}
IEEE International Conference on Fuzzy Systems, Brisbane,
Australia, June 2012,
doi:
10.1109/FUZZIEEE.2012.6251254.

P. Mastorocostas,
C. Hilas,
Telecommunications
Data Forecasting Based on a Dynamic NeuroFuzzy Network,
Proceedings of
8^{th}
International Symposium on Neural Networks, Guilin, China,
MayJune 2011, pp. 529537.

P. Mastorocostas,
C. Hilas, A Computational Intelligence Approach for Forecasting
Telecommunications Time Series, Proceedings of
2010 International Conference on Telecommunications and Networking,
December 2010.

C. Hilas, I. Rekanos, S. Goudos, P. Mastorocostas, J. Sahalos,
Change Level Detection in time Series Using
Higher Order Statistics,
Proceedings of
16^{th} International Conference on Digital
Signal Processing, Santorini, Greece, July
2009.

P. Mastorocostas, D. Varsamis, C. Mastorocostas, C. Hilas,
Á
Locally
Recurrent Globally Feedforward Fuzzy Neural Network for Processing Lung
Sounds, Proceedings of
2007 International Conference on Artificial Neural Networks,
Porto, September 2007,
Portugal, pp. 120128.

P.Á. Mastorocostas, C.S. Hilas,
A
BlockDiagonal Dynamic Fuzzy Filter for Adaptive Noise Cancellation,
Proceedings of
2007 International Conference on Systems, Computing Sciences and Software
Engineering,
December 2007, pp. 387392.

P. Mastorocostas, A BlockDiagonal Recurrent Fuzzy Neural Network
for Dynamic System Identification, Proceedings of
16^{th}
IEEE International Conference on Fuzzy Systems,
London, UK, July 2007, pp. 1116.

D.
Stavrakoudis, P. Mastorocostas, J. Theocharis,
A
Pipelined Recurrent Fuzzy Neural Filter for the Separation of Lung Sounds,
Proceedings of
16^{th}
IEEE International Conference on Fuzzy Systems,
London, UK, July 2007, pp. 4954.

P. Mastorocostas,
C. Hilas
A
Dynamic Fuzzy Model for Processing Lung Sounds,
Proceedings of
2006
International Joint Conferences on Computer,
Information, and Systems Sciences, and Engineering.

P. Mastorocostas, D. Varsamis, C. Mastorocostas, C. Hilas,
A
Recurrent Neural Filter for Adaptive Noise Cancellation,
Proceedings of
5^{th} IASTED International Conference on
Artificial
Intelligence and Applications,
Innsbruck, Austria, February 2006, pp. 341346.

P. Mastorocostas, D. Varsamis, C. Mastorocostas,
A
Simulated AnnealingBased
Learning Algorithm for BlockDiagonal Recurrent Neural Networks,
Proceedings of
5^{th} IASTED International Conference on
Artificial
Intelligence and Applications,
Innsbruck, Austria, February 2006, pp. 244249.

P. Mastorocostas, D. Varsamis, C. Mastorocostas, C. Hilas,
A
Recurrent Fuzzy Filter for Adaptive Noise Cancellation,
Proceedings of
CIMCA 2005, Vienna, Austria, November 2005, pp. 408413.

P. Mastorocostas, D. Varsamis, C. Mastorocostas, I. Rekanos,
An
Accelerating Learning Algorithm for BlockDiagonal Recurrent Neural
Networks,
Proceedings of
CIMCA 2005, Vienna, Austria, November 2005, pp. 403408.

P. Mastorocostas,
A Constrained
Optimization Algorithm for Training Locally Recurrent Globally Feedforward
Neural Networks,
Proceedings of
2005 IEEE International Conference on Neural Networks,
Montreal,
Canada, JulyAugust 2005, pp. 717722.

P. Mastorocostas, J.
Theocharis,
A Recurrent
FuzzyNeural Filter for RealTime Separation of Lung Sounds,
Proceedings of
2005 IEEE International Conference on Neural Networks,
Montreal,
Canada, JulyAugust 2005, pp. 30233028.

P. Mastorocostas, I. Rekanos,
Simulated
Annealing Dynamic RPROP for Training Recurrent Fuzzy Models,
Proceedings of
14^{th}
IEEE International Conference on Fuzzy Systems,
Reno, U.S.A., May 2005, pp. 10861091.

P. Mastorocostas,
C. Hilas, A Dynamic FuzzyNeural Filter for the
Analysis of Lung Sounds,
Proceedings of
2004 IEEE International Conference on Systems, Man, and Cybernetics,
Hague, the Netherlands, October 2004, pp.
22312236.

P. Mastorocostas, J. Theocharis,
On Stable Learning of
BlockDiagonal Recurrent Neural Networks

Part II: Application to the Analysis of Lung Sounds,
Proceedings of
2004 IEEE International Joint Conference on Neural Networks,
Âudapest, Hungary, July 2004,
pp. 821826.

P. Mastorocostas, J. Theocharis,
On Stable Learning of
BlockDiagonal Recurrent Neural Networks

Part I: The RENNCOM Algorithm,
Proceedings of
2004 IEEE
International Joint Conference on Neural Networks, Âudapest, Hungary,
July 2004,
pp. 815820.

P. Mastorocostas, J. Theocharis,
DOLS: An Orthogonal Least
Squares Method for Dynamic Fuzzy Models,
Proceedings of
10^{th}
IEEE International Conference on Fuzzy Systems,
Melbourne, Australia, December 2001, pp. 119122.

P. Mastorocostas, J. Theocharis,
A Generalized TSK Dynamic Fuzzy Neural Network:
Application to Adaptive Noise Cancellation,
Proceedings of
9^{th}
IEEE International Conference on Fuzzy Systems,
San Antonio, U.S.A., May 2000, pp. 877882.

P. Mastorocostas, J. Theocharis, S. Kiartzis and A. Bakirtzis,
Orthogonal Least Squares based Fuzzy Model for Short Term Load
Forecasting,
Proceedings of
IMAC International Symposium on Soft Computing,
Athens, June 1998.

P. Mastorocostas, J. Theocharis,
Orthogonal Least Squares Fuzzy Modelling of
Nonlinear Dynamical Systems,
Proceedings of
6^{th}
IEEE International Conference on Fuzzy Systems,
Barcelona, Spain, July 1997, pp. 11471152.

P. Mastorocostas, J. Theocharis,
FUNCOM: An Efficient Fuzzy Neural
Training Algorithm,
Proceedings of
5^{th}
IEEE International Conference on Fuzzy Systems,
New Orleans, U.S.A., September 1996, pp. 380386.

P. Mastorocostas, J. Theocharis,
A Fast Learning Hybrid Algorithm for Training
Fuzzy Neural Networks,
Proceedings of
1996 IASTED International Conference on Modelling, Identification and
Control,
Innsbruck, Austria, February 1996, pp. 129132.

Thirdparty citations
(14/04/2018)

The research papers have attracted 838 thirdparty citations.



IEEE
Transactions on Fuzzy Systems

IEEE
Transactions on Neural Networks

ÉÅÅÅ
Transactions on Neural Networks and Learning Systems

IEEE
Transactions on Signal Processing

IEEE
Transactions on Systems, Man, and Cybernetics, Part
Á

IEEE
Transactions on Systems, Man, and Cybernetics, Part Â

IEEE
Transactions on Systems, Man, and Cybernetics, Part C

IEEE
Transactions on Circuits and Systems, Part
É

IEEE Transactions on Cybernetics

IET Circuits, Devices and Systems

Fuzzy Sets and
Systems

Applied Soft Computing

Neurocomputing

Neural
Computing and Applications

Artificial Intelligence in Medicine

Engineering
Applications of Artificial Intelligence

International
Journal of Remote Sensing

Computer
Methods and Programs in Biomedicine

Mathematical Problems in Engineering

Computational Intelligence and Neuroscience

Journal of Information Science and Engineering

International Journal of Computer Engineering Research

Information Technology Research Journal

Journal of Service Science and Management

Journal of Engineering and Computer Innovations

Advances in Materials Science and Engineering

Optimization Letters

Applied Mathematical Sciences

Journal of Education Research and Review

Journal of Surveying and
Mapping Engineering

Modelling and Simulation in Engineering

International Journal of Telemedicine and Applications


2017, 2015, 2013, 2011, 2009,
2007
ÉÅÅÅ
International Joint Conferences on Neural Networks

2013, 2011,
2009
ÉÅÅÅ
International Conferences on Fuzzy Systems

2018,
2014, 2012,
2010 IEEE
World Congresses on Computational Intelligence

2014,
2013 IEEE Symposium Series on Computational Intelligence

2009 Mediterranean Conference on Control and Automation
