Professor, Dept. of Informatics & Computer Engineering, University of West Attica, Greece
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Cited by
Cited by
A recurrent fuzzy-neural model for dynamic system identification
PA Mastorocostas, JB Theocharis
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 32 …, 2002
Fuzzy modeling for short term load forecasting using the orthogonal least squares method
PA Mastorocostas, JB Theocharis, AG Bakirtzis
IEEE Transactions on Power Systems 14 (1), 29-36, 1999
An application of supervised and unsupervised learning approaches to telecommunications fraud detection
CS Hilas, PA Mastorocostas
Knowledge-Based Systems 21 (7), 721-726, 2008
A hybrid fuzzy modeling method for short-term load forecasting
PA Mastorocostas, JB Theocharis, SJ Kiartzis, AG Bakirtzis
Mathematics and Computers in Simulation 51 (3-4), 221-232, 2000
A constrained orthogonal least-squares method for generating TSK fuzzy models: application to short-term load forecasting
PA Mastorocostas, JB Theocharis, VS Petridis
Fuzzy Sets and Systems 118 (2), 215-233, 2001
An orthogonal least squares-based fuzzy filter for real-time analysis of lung sounds
PA Mastorocostas, YA Tolias, JB Theocharis, LJ Hadjileontiadis, ...
IEEE Transactions on Biomedical Engineering 47 (9), 1165-1176, 2000
Resilient back propagation learning algorithm for recurrent fuzzy neural networks
PA Mastorocostas
Electronics Letters 40 (1), 57-58, 2004
A stable learning algorithm for block-diagonal recurrent neural networks: application to the analysis of lung sounds
PA Mastorocostas, JB Theocharis
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 36 …, 2006
An orthogonal least-squares method for recurrent fuzzy-neural modeling
PA Mastorocostas, JB Theocharis
Fuzzy Sets and Systems 140 (2), 285-300, 2003
A dynamic fuzzy neural filter for separation of discontinuous adventitious sounds from vesicular sounds
PA Mastorocostas, JB Theocharis
Computers in Biology and Medicine 37 (1), 60-69, 2007
Clustering of telecommunications user profiles for fraud detection and security enhancement in large corporate networks: a case study
CS Hilas, PA Mastorocostas, IT Rekanos
Applied Mathematics & Information Sciences 9 (4), 1709, 2015
FUNCOM: A constrained learning algorithm for fuzzy neural networks
P Mastorocostas, J Theocharis
Fuzzy sets and systems 112 (1), 1-26, 2000
Classification of remotely sensed images using the genesis fuzzy segmentation algorithm
SK Mylonas, DG Stavrakoudis, JB Theocharis, PA Mastorocostas
IEEE Transactions on Geoscience and Remote Sensing 53 (10), 5352-5376, 2015
A genetic programming approach to telecommunications fraud detection and classification
CS Hilas, SA Kazarlis, IT Rekanos, PA Mastorocostas
Proc. 2014 Int. Conf. Circuits, Syst. Signal Process. Commun. Comput, 77-83, 2014
Change point detection in time series using higher-order statistics: a heuristic approach
CS Hilas, IT Rekanos, PA Mastorocostas
Mathematical Problems in Engineering 2013, 2013
A computational intelligence-based forecasting system for telecommunications time series
P Mastorocostas, C Hilas
Engineering Applications of Artificial Intelligence 25 (1), 200-206, 2012
On stable learning of block-diagonal recurrent neural networks, Part 1: the RENNCOM algorithm
PA Mastorocostas, JB Theocharis
2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004
On the nonlinear behavior of the analog phase-locked loop: Synchronization
N Margaris, P Mastorocostas
IEEE Transactions on Industrial Electronics 43 (6), 621-629, 1996
A region-based genesis segmentation algorithm for the classification of remotely sensed images
SK Mylonas, DG Stavrakoudis, JB Theocharis, PA Mastorocostas
Remote Sensing 7 (3), 2474-2508, 2015
Forecasting of telecommunications time-series via an orthogonal least squares-based fuzzy model
PA Mastorocostas, CS Hilas, SC Dova, DN Varsamis
2012 IEEE International Conference on Fuzzy Systems, 1-8, 2012
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