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Τμήμα Μηχανικών
Πληροφορικής & Υπολογιστών
Department of
Informatics & Computer
Engineering |
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Πάρις Αστ. Μαστοροκώστας
Καθηγητής
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ΔΗΜΟΣΙΕΥΣΕΙΣ
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Δημοσιεύσεις σε διεθνή
περιοδικά με κριτές |
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S. Tsakiridis, A. Papakonstantinou, A. Kapandelis, P. Mastorocostas, A.
Tsimpiris, D. Varsamis,
Optimizing UAV-Based Inventory Detection and Quantification in Industrial
Warehouses: A LiDAR-Driven Approach,
WSEAS Transactions on Systems, vol. 23, pp.
121-127, 2024.
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S. Tsakiridis, A. Papakonstantinou, A. Kapandelis, P. Mastorocostas, A.
Tsimpiris, D. Varsamis,
Computational Techniques for Locating Industrial Products in Warehouses,
Contemporary Engineering Sciences, vol. 163, no
1, pp. 71-79, 2023.
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I.
Drosouli, A. Voulodimos, P. Mastorocostas, G. Miaoulis, D. Ghazanfarpour,
A Spatial-Temporal Graph Convolutional Recurrent Network for
Transportation Flow Estimation,
Sensors, vol. 23, no 7534, pp. 1-25, 2023.
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G. Kandilogiannakis, P. Mastorocostas, A.
Voulodimos,
C. Hilas,
Short-Term Load Forecasting of the Greek Power System Using a Dynamic
Block-Diagonal Fuzzy Neural Network,
Energies,
vol. 16, no 4227, pp. 1-21, 2023.
-
I.
Drosouli, A. Voulodimos, P. Mastorocostas, G. Miaoulis, D. Ghazanfarpour,
TDM-BERT: A Transformer-Based Model for Transportation Mode Detection,
Electronics, vol. 12, no 581, pp. 1-17, 2023.
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S. Tsakiridis, A. Papakonstantinou, A. Kapandelis, P. Mastorocostas, A.
Tsimpiris, D. Varsamis,
Computational Techniques for Locating Industrial
Products in Warehouses,
Contemporary Engineering Sciences,
vol. 16, no 1, pp. 71-79, 2023.
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N. Ellinas, M. Christidou, A. Vioni, J.
Sig Sung, A. Chalamandaris, P. Tsiakoulis, P. Mastorocostas,
Controllable Speech Synthesis by Learning Discrete Phoneme-level Prosodic
Representations,
Speech Communication,
vol. 146, pp. 22-31, 2023.
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G. Kandilogiannakis, P. Mastorocostas, A.
Voulodimos,
ReNFuzz-LF: A Recurrent Neurofuzzy System for Short-Term Load Forecasting,
Energies,
vol. 15, no 3637, pp. 1-18, 2022.
-
I.
Drosouli, A. Voulodimos, G. Miaoulis, P. Mastorocostas, D. Ghazanfarpour,
Transportation Mode Detection Using an Optimized Long Short-Term Model on
Multimodal Sensor Data,
Entropy,
vol. 23, no 1457, pp. 1-20, 2021.
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G. Kandilogiannakis, P. Mastorocostas,
D. Varsamis, C. Hilas,
Neurofuzzy Modelling of Lung Sounds,”
Contemporary Engineering Sciences,
vol. 11, no 98, pp. 4879-4890, 2018.
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Κ.
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. 200-212, February 2018.
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D.
Varsamis, E. Outsios, P. Mastorocostas,
A Hybrid Learning Algorithm for Locally Recurrent Neural Networks,
Contemporary
Engineering Sciences,
vol. 11, no 1, pp. 1-13, 2018.
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P.
Mastorocostas,
C.
Hilas,
D. Varsamis, S. Dova,
Telecommunications Call Volume Forecasting with a Block-Diagonal Recurrent
Fuzzy Neural Network,
Telecommunication Systems,
vol. 63, no 1, pp. 15-25, 2016.
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D. Varsamis, N. Karampetakis, P. Mastorocostas,
Transformations Between Two-Variable Polynomial Bases with Applications,
Applied Mathematics & Information Sciences,
vol. 10, no 4, pp. 1303-1311, 2016.
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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, nο 10,
pp. 5352-5376, October 2015.
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S.
Mylonas,
D.
Stavrakoudis,
J.
Theocharis,
P.
Mastorocostas,
A Region-Based GeneSIS Segmentation Algorithm for Classification of
Remotely Sensed Images,
Remote Sensing,
vol. 7, pp. 2474-2508,
2015.
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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. 1709-1718, 2015.
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D. Varsamis, N. Karampetakis, P. Mastorocostas,
An Optimal Bivariate Polynomial Interpolation Basis for the Application of the
Evaluation-Interpolation Technique,
Applied Mathematics & Information Sciences,
vol. 8, no 1, pp. 117-125, 2014.
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P. Mastorocostas,
C. Hilas,
SCOLS-FuM:
A Hybrid
Fuzzy Modeling Method for Telecommunications Time-Series Forecasting,
Informatica,
vol. 25, no 2, pp.
221-239, 2014.
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P.
Mastorocostas,
C.
Hilas,
D. Varsamis, S. Dova, A Block-Diagonal
Recurrent Neural Network for Telecommunications Call Volume Forecasting,
International Journal
on
Advances in Computing and Communication Technologies,
vol. 3, iss. 1, pp. 7-11, 2013.
-
P.
Mastorocostas,
C.
Hilas,
D. Varsamis, S. Dova,
A
Recurrent Neural Network-based
Forecasting System for Telecommunications Call Volume,
Applied Mathematics & Information Sciences,
vol. 7,
no 5, May, pp. 1643-1650,
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.
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P. Mastorocostas,
C. Hilas,
ReNFFor:
A Recurrent Neurofuzzy Forecaster for Telecommunications
Data,
Neural Computing and Applications,
vol. 22, iss. 7-8, pp. 1727-1734, June 2013.
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P. Mastorocostas,
C. Hilas,
A
Computational Intelligence-based Forecasting System for Telecommunications
Time Series,
Engineering Applications of Artificial Intelligence,
vol.
25, iss. 1, pp. 200-206, February 2012.
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P. Mastorocostas, C. Hilas,
A
Block-Diagonal Recurrent Fuzzy Neural Network for System Identification,
Neural Computing and Applications,
vol. 18, no 7, pp. 707-717, October 2009.
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P. Mastorocostas, D.
Stavrakoudis, J. Theocharis,
A
Pipelined Recurrent Fuzzy
Model for Real-Time Analysis
of Lung Sounds, Engineering Applications of Artificial Intelligence,
vol. 21, iss. 8, pp. 1301-1308, December 2008.
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C. Hilas,
P. Mastorocostas, Αn Application of
Supervised and Unsupervised Learning Approaches to Telecommunications
Fraud Detection, Knowledge-Based Systems,
vol. 21, iss. 7, pp.721-726, October 2008.
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P. Mastorocostas, D. Varsamis, C. Hilas, C. Mastorocostas,
A Generalized Takagi-Sugeno-Kang Recurrent Fuzzy-Neural Filter for
Adaptive Noise Cancellation, Neural Computing and Applications,
vol. 17, no 5-6, pp. 521-529, October 2008.
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P. Mastorocostas,
Simulated
Annealing Dynamic RPROP for Training Recurrent Fuzzy Systems, Advances in Fuzzy Sets and Systems,
vol. 2, iss. 3, pp. 283-300, October 2007.
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P. Mastorocostas, D. Varsamis, C. Mastorocostas, C. Hilas,
A
Dynamic Fuzzy Model for Processing Lung Sounds, IEE Electronics Letters,
vol. 43, iss. 6, pp. 320-322, March 2007.
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P.
Mastorocostas,
J.
Theocharis,
A
Dynamic Fuzzy-Neural Filter
for
Separation of Discontinuous Adventitious Sounds from Vesicular Sounds,
Computers in Biology and Medicine,
vol. 37, pp. 60-69, 2007.
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P.
Mastorocostas,
J.
Theocharis,
A
Stable Learning Algorithm for Block-Diagonal 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.
242-254,
April
2006.
-
P.
Mastorocostas,
A
Recurrent Fuzzy Filter for the Analysis of Lung Sounds,
Fuzzy Sets and Systems,
vol. 157,
iss. 4,
pp.
578-594,
February
2006.
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P.
Mastorocostas,
Resilient Back Propagation Learning Algorithm for
Recurrent Fuzzy Neural Networks,
ΙΕΕ Electronics Letters,
vol.
40,
no
1,
pp.
57-58,
January
2004.
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P.
Mastorocostas,
J.
Theocharis,
An Orthogonal Least Squares Method for Recurrent Fuzzy-Neural Modeling,
Fuzzy Sets and Systems,
vol. 140,
iss.
2,
pp. 285-300,
December
2003.
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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. 176-190, April 2002.
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P. Mastorocostas, J. Theocharis, V. Petridis,
A Constrained
Orthogonal Least Squares Method for Generating TSK Fuzzy Models:
Application to Short-Term Load Forecasting, Fuzzy Sets and Systems,
vol. 118,
iss.
2,
pp.
35-53,
March 2001.
-
P. Mastorocostas, Y. Tolias, J. Theocharis, L. Hadjileontiadis, S.
Panas, An Orthogonal Least Squares-Based Fuzzy Filter for Real-Time Αnalysis of Lung Sounds, IEEE Transactions on Biomedical Engineering,
vol. 47, no 9, pp. 1165-1176, September 2000.
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P. Mastorocostas, J. Theocharis, FUNCOM: A Constrained Learning
Algorithm for Fuzzy Neural Networks, Fuzzy Sets and Systems, vol.
112, iss. 1, pp. 1-26, 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. 3-4, pp.
221-232, January 2000.
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P. Mastorocostas, J. Theocharis, A. Bakirtzis,
Fuzzy Modeling for
Short Term Load Forecasting Using an Orthogonal Least Squares Method,
ΙΕΕΕ Transactions on Power Systems, vol. 14, no 1, pp. 29-36, February
1999.
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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.
621-629, December 1996.
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Δημοσιεύσεις σε βιβλία
και συλλογικούς τόμους
|
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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.
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Δημοσιεύσεις σε πρακτικά
διεθνών συνεδρίων με κριτές
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I.
Drosouli, A. Voulodimos, P. Mastorocostas, G. Miaoulis, D. Ghazanfarpour,
A Graph Neural Network Based Learning Model for Urban Metro flow
Prediction,
Proceedings of 22nd International Conference on Machine Learning and
Applications, Florida, USA, December 2023.
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V. Zelios, P. Mastorocostas,
G. Kandilogiannakis,
A.
Kesidis, P. Tselenti, A. Voulodimos,
Deep Learning Electric Load Forecasting for the Greek Power System,
Proceedings of
27th
International Conference on
Circuits, Systems, Communications and Control,
Rhodes, Greece, July 2023.
-
G. Kandilogiannakis,
P. Mastorocostas,
C. Hilas,
Α Dynamic Fuzzy Neural System for Time-Series
Classification,
Proceedings of
IEEE
International Conference on
Intelligent Systems,
Varna, Bulgaria, August 2020.
-
G. Kandilogiannakis,
P. Mastorocostas,
ReFuzzTiD: A Recurrent Neurofuzzy Model for Anomaly Detection in Time
Series,
Proceedings of
IEEE
International
Joint
Conference on
Neural Networks,
Glasgow, UK, July 2020.
-
P. Mastorocostas,
C. Hilas, J. Ellinas,
Α Computational Intelligence Model for Processing Lung
Sounds,”
Proceedings of
International Conference on Digital Image and Signal Processing (DISP
2019),
Oxford, UK, April 2019.
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D. Varsamis, C. Talagkozis, A. Tsimpiris, P. Mastorocostas,
Α Parallel Implementation of K-Means in Matlab,
Proceedings of 19th
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 Hyper-Structures for Intrinsic Digital Circuit Evolution,
Proceedings of 8th
International Conference on Advances in Circuits, Electronics and
Micro-Electronics (CENICS 2015),
Venice, Italy, August 2015.
-
D. Stavrakoudis, S. Mylonas, C. Topalogou, J. Theocharis, P.
Mastorocostas,
Exploiting the Interpretability of Fuzzy Rule-based Classifiers for
Analyzing Hyperspectral Remotely Sensed Data,
Proceedings of 19th
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 Rule-based 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 18th International Conference on Circuits,
Systems, Communications and Computers, Santorini, July 2014.
-
S.
Mylonas, D. Stavrakoudis, J. Theocharis, P. Mastorocostas,
Spectral-Spatial Classification of Remote Sensing
Images Using a Region-based GeneSIS Segmentation Algorithm,
Proceedings of
21rd IEEE International Conference on Fuzzy Systems,
Beijing, China, July 2014, pp. 1976-1984.
-
S.
Mylonas, D. Stavrakoudis, C. Topalogou, J. Theocharis, P. Mastorocostas,
A
Watershed-based Spectral-Spatial Segmentation and Classification Scheme
for Remote Sensing Images,
Proceedings of
5th GEOBIA,
Thessaloniki, May 2014, pp. 335-338.
-
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. 77-83.
-
P. Mastorocostas,
C. Hilas, D. Varsamis, S. Dova, A Block-Diagonal
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. 7-11.
-
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. 587-593.
-
P. Mastorocostas,
C. Hilas, S. Dova, D. Varsamis, A
TSK-based Fuzzy System for Telecommunications Time-series Forecasting,
Proceedings of
6th
IEEE International Conference on Intelligent Systems, Sofia, Bulgaria,
vol. I, September 2012,
pp. 146-151.
-
P. Mastorocostas,
C. Hilas, S. Dova, D. Varsamis, Forecasting of Telecommunications
Time-series via an Orthogonal Least Squares-based Fuzzy
Model,
Proceedings of
21st
IEEE International Conference on Fuzzy Systems, Brisbane,
Australia, June 2012,
doi:
10.1109/FUZZ-IEEE.2012.6251254.
-
P. Mastorocostas,
C. Hilas,
Telecommunications
Data Forecasting Based on a Dynamic Neuro-Fuzzy Network,
Proceedings of
8th
International Symposium on Neural Networks, Guilin, China,
May-June 2011, pp. 529-537.
-
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
16th International Conference on Digital
Signal Processing, Santorini, Greece, July
2009.
-
P. Mastorocostas, D. Varsamis, C. Mastorocostas, C. Hilas,
Α
Locally
Recurrent Globally Feed-forward Fuzzy Neural Network for Processing Lung
Sounds, Proceedings of
2007 International Conference on Artificial Neural Networks,
Porto, September 2007,
Portugal, pp. 120-128.
-
P.Α. Mastorocostas, C.S. Hilas,
A
Block-Diagonal Dynamic Fuzzy Filter for Adaptive Noise Cancellation,
Proceedings of
2007 International Conference on Systems, Computing Sciences and Software
Engineering,
December 2007, pp. 387-392.
-
P. Mastorocostas, A Block-Diagonal Recurrent Fuzzy Neural Network
for Dynamic System Identification, Proceedings of
16th
IEEE International Conference on Fuzzy Systems,
London, UK, July 2007, pp. 11-16.
-
D.
Stavrakoudis, P. Mastorocostas, J. Theocharis,
A
Pipelined Recurrent Fuzzy Neural Filter for the Separation of Lung Sounds,
Proceedings of
16th
IEEE International Conference on Fuzzy Systems,
London, UK, July 2007, pp. 49-54.
-
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
5th IASTED International Conference on
Artificial
Intelligence and Applications,
Innsbruck, Austria, February 2006, pp. 341-346.
-
P. Mastorocostas, D. Varsamis, C. Mastorocostas,
A
Simulated Annealing-Based
Learning Algorithm for Block-Diagonal Recurrent Neural Networks,
Proceedings of
5th IASTED International Conference on
Artificial
Intelligence and Applications,
Innsbruck, Austria, February 2006, pp. 244-249.
-
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. 408-413.
-
P. Mastorocostas, D. Varsamis, C. Mastorocostas, I. Rekanos,
An
Accelerating Learning Algorithm for Block-Diagonal Recurrent Neural
Networks,
Proceedings of
CIMCA 2005, Vienna, Austria, November 2005, pp. 403-408.
-
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, July-August 2005, pp. 717-722.
-
P. Mastorocostas, J.
Theocharis,
A Recurrent
Fuzzy-Neural Filter for Real-Time Separation of Lung Sounds,
Proceedings of
2005 IEEE International Conference on Neural Networks,
Montreal,
Canada, July-August 2005, pp. 3023-3028.
-
P. Mastorocostas, I. Rekanos,
Simulated
Annealing Dynamic RPROP for Training Recurrent Fuzzy Models,
Proceedings of
14th
IEEE International Conference on Fuzzy Systems,
Reno, U.S.A., May 2005, pp. 1086-1091.
-
P. Mastorocostas,
C. Hilas, A Dynamic Fuzzy-Neural Filter for the
Analysis of Lung Sounds,
Proceedings of
2004 IEEE International Conference on Systems, Man, and Cybernetics,
Hague, the Netherlands, October 2004, pp.
2231-2236.
-
P. Mastorocostas, J. Theocharis,
On Stable Learning of
Block-Diagonal Recurrent Neural Networks
-
Part II: Application to the Analysis of Lung Sounds,
Proceedings of
2004 IEEE International Joint Conference on Neural Networks,
Βudapest, Hungary, July 2004,
pp. 821-826.
-
P. Mastorocostas, J. Theocharis,
On Stable Learning of
Block-Diagonal Recurrent Neural Networks
-
Part I: The RENNCOM Algorithm,
Proceedings of
2004 IEEE
International Joint Conference on Neural Networks, Βudapest, Hungary,
July 2004,
pp. 815-820.
-
P. Mastorocostas, J. Theocharis,
D-OLS: An Orthogonal Least
Squares Method for Dynamic Fuzzy Models,
Proceedings of
10th
IEEE International Conference on Fuzzy Systems,
Melbourne, Australia, December 2001, pp. 119-122.
-
P. Mastorocostas, J. Theocharis,
A Generalized TSK Dynamic Fuzzy Neural Network:
Application to Adaptive Noise Cancellation,
Proceedings of
9th
IEEE International Conference on Fuzzy Systems,
San Antonio, U.S.A., May 2000, pp. 877-882.
-
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
6th
IEEE International Conference on Fuzzy Systems,
Barcelona, Spain, July 1997, pp. 1147-1152.
-
P. Mastorocostas, J. Theocharis,
FUNCOM: An Efficient Fuzzy Neural
Training Algorithm,
Proceedings of
5th
IEEE International Conference on Fuzzy Systems,
New Orleans, U.S.A., September 1996, pp. 380-386.
-
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. 129-132.
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Κριτής σε διεθνή
επιστημονικά περιοδικά - συνέδρια
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IEEE Transactions on Emerging Topics in Computational Intelligence
-
IEEE
Transactions on Fuzzy Systems
-
IEEE
Transactions on Neural Networks
-
ΙΕΕΕ
Transactions on Neural Networks and Learning Systems
-
IEEE
Transactions on Signal Processing
-
IEEE
Transactions on Systems, Man, and Cybernetics, Part
Α
-
IEEE
Transactions on Systems, Man, and Cybernetics, Part Β
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IEEE
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