Paris A. Mastorocostas

45 papers B 13C 1Journal 19Unranked 12
YearRankTypeTitle / Venue / Authors
2025 — conf
Recurrent Fuzzy Neural Networks for Time-Series Prediction.
NiDS (3)
Anastasios Christodoulides, Paris A. Mastorocostas, Georgios Kandilogiannakis, Panagiota Tselenti, Anastasios L. Kesidis
2020 — conf
A Dynamic Fuzzy Neural System for Time Series Classification.
IEEE Conf. on Intelligent Systems
George Kandilogiannakis, Paris A. Mastorocostas, Constantinos S. Hilas
2020 B conf
ReFuzzTiD: A Recurrent Neurofuzzy Model for Anomaly Detection in Time Series.
IJCNN
George Kandilogiannakis, Paris A. Mastorocostas
2018 — conf
A computational intelligence-based filter for lung sound separation.
PCI
George Kandilogiannakis, Paris A. Mastorocostas, Dimitris N. Varsamis
2016 J jnl
Telecommunications call volume forecasting with a block-diagonal recurrent fuzzy neural network.
Telecommun. Syst.
Paris A. Mastorocostas, Constantinos S. Hilas, Dimitris N. Varsamis, Stergiani C. Dova
2015 J jnl
A Region-Based GeneSIS Segmentation Algorithm for the Classification of Remotely Sensed Images.
Remote. Sens.
Stelios K. Mylonas, Dimitris G. Stavrakoudis, John B. Theocharis, Paris A. Mastorocostas
2015 J jnl
Classification of Remotely Sensed Images Using the GeneSIS Fuzzy Segmentation Algorithm.
IEEE Trans. Geosci. Remote. Sens.
Stelios K. Mylonas, Dimitris G. Stavrakoudis, John B. Theocharis, Paris A. Mastorocostas
2014 J jnl
SCOLS-FuM: A Hybrid Fuzzy Modeling Method for Telecommunications Time-Series Forecasting.
Informatica
Paris A. Mastorocostas, Constantinos S. Hilas
2014 B conf
Spectral-spatial classification of remote sensing images using a region-based GeneSIS Segmentation algorithm.
FUZZ-IEEE
Stelios K. Mylonas, Dimitris G. Stavrakoudis, John B. Theocharis, Paris A. Mastorocostas
2013 B conf
A telecommunications call volume forecasting system based on a recurrent fuzzy neural network.
IJCNN
Paris A. Mastorocostas, Constantinos S. Hilas, Dimitris N. Varsamis, Stergiani C. Dova
2013 J jnl
ReNFFor: a recurrent neurofuzzy forecaster for telecommunications data.
Neural Comput. Appl.
Paris A. Mastorocostas, Constantinos S. Hilas
2012 — conf
A TSK-based fuzzy system for telecommunications time-series forecasting.
IEEE Conf. of Intelligent Systems
Paris A. Mastorocostas, Constantinos S. Hilas, Stergiani C. Dova, Dimitris N. Varsamis
2012 J jnl
A computational intelligence-based forecasting system for telecommunications time series.
Eng. Appl. Artif. Intell.
Paris A. Mastorocostas, Constantinos S. Hilas
2012 C conf
A parallel searching algorithm for the insetting procedure in Matlab Parallel Toolbox.
FedCSIS
Dimitris N. Varsamis, Paris A. Mastorocostas, Apostolos Papakonstantinou, Nicholas P. Karampetakis
2012 B conf
Forecasting of telecommunications time-series via an Orthogonal Least Squares-based fuzzy model.
FUZZ-IEEE
Paris A. Mastorocostas, Constantinos S. Hilas, Stergiani C. Dova, Dimitris N. Varsamis
2011 — conf
Telecommunications Data Forecasting Based on a Dynamic Neuro-fuzzy Network.
ISNN (1)
Paris A. Mastorocostas, Constantinos S. Hilas
2009 J jnl
A block-diagonal recurrent fuzzy neural network for system identification.
Neural Comput. Appl.
Paris A. Mastorocostas, Constantinos S. Hilas
2009 — conf
Level change detection in time series using higher order statistics.
DPS
Constantinos S. Hilas, Ioannis T. Rekanos, Sotirios K. Goudos, Paris A. Mastorocostas, John N. Sahalos
2008 J jnl
A generalized Takagi-Sugeno-Kang recurrent fuzzy-neural filter for adaptive noise cancelation.
Neural Comput. Appl.
Paris A. Mastorocostas, Dimitris N. Varsamis, Constantinos S. Hilas, Constantinos A. Mastorocostas
2008 J jnl
A pipelined recurrent fuzzy model for real-time analysis of lung sounds.
Eng. Appl. Artif. Intell.
Paris A. Mastorocostas, Dimitris G. Stavrakoudis, John B. Theocharis
2008 J jnl
An application of supervised and unsupervised learning approaches to telecommunications fraud detection.
Knowl. Based Syst.
Constantinos S. Hilas, Paris A. Mastorocostas
2007 B conf
A Block-Diagonal Recurrent Fuzzy Neural Network for Dynamic System Identification.
FUZZ-IEEE
Paris A. Mastorocostas
2007 — conf
A Locally Recurrent Globally Feed-Forward Fuzzy Neural Network for Processing Lung Sounds.
ICANN (2)
Paris A. Mastorocostas, Dimitris N. Varsamis, Constantinos A. Mastorocostas, Constantinos S. Hilas
2007 B conf
A Pipelined Recurrent Fuzzy Neural Filter for the Separation of Lung Sounds.
FUZZ-IEEE
Dimitris G. Stavrakoudis, Paris A. Mastorocostas, John B. Theocharis
2007 J jnl
A dynamic fuzzy neural filter for separation of discontinuous adventitious sounds from vesicular sounds.
Comput. Biol. Medicine
Paris A. Mastorocostas, John B. Theocharis
2006 — conf
A Recurrent Neural Filter for Adaptive Noise Cancellation.
Artificial Intelligence and Applications
Paris A. Mastorocostas, Dimitris N. Varsamis, Constantinos A. Mastorocostas, Constantinos S. Hilas
2006 — conf
A Simulated Annealing-based Learning Algorithm for Block-Diagonal Recurrent Neural Networks.
Artificial Intelligence and Applications
Paris A. Mastorocostas, Dimitris N. Varsamis, Constantinos A. Mastorocostas
2006 J jnl
A Stable Learning Algorithm for Block-Diagonal Recurrent Neural Networks: Application to the Analysis of Lung Sounds.
IEEE Trans. Syst. Man Cybern. Part B
Paris A. Mastorocostas, Ioannis B. Theocharis
2006 J jnl
A recurrent fuzzy filter for the analysis of lung sounds.
Fuzzy Sets Syst.
Paris A. Mastorocostas
2005 — conf
A Recurrent Fuzzy Filter for Adaptive Noise Cancellation.
CIMCA/IAWTIC
Paris A. Mastorocostas, Dimitris N. Varsamis, Constantinos A. Mastorocostas, Constantinos S. Hilas
2005 B conf
A constrained optimization algorithm for training locally recurrent globally feedforward neural networks.
IJCNN
Paris A. Mastorocostas
2005 B conf
A recurrent fuzzy-neural filter for real-time separation of lung sounds.
IJCNN
Paris A. Mastorocostas, John B. Theocharis
2005 — conf
An Accelerating Learning Algorithm for Block-Diagonal Recurrent Neural Networks.
CIMCA/IAWTIC
Paris A. Mastorocostas, Dimitris N. Varsamis, Constantinos A. Mastorocostas, Ioannis T. Rekanos
2005 B conf
Simulated annealing dynamic RPROP for training recurrent fuzzy systems.
FUZZ-IEEE
Paris A. Mastorocostas, Ioannis T. Rekanos
2004 — conf
A dynamic fuzzy-neural filter for the analysis of lung sounds.
SMC (3)
Paris A. Mastorocostas, Constantinos S. Hilas
2004 B conf
On stable learning of block-diagonal recurrent neural networks, Part 1: the RENNCOM algorithm.
IJCNN
Paris A. Mastorocostas, John B. Theocharis
2004 B conf
On stable learning of block-diagonal recurrent neural networks, part 2: application to the analysis of lung sounds.
IJCNN
Paris A. Mastorocostas, John B. Theocharis
2003 J jnl
An orthogonal least-squares method for recurrent fuzzy-neural modeling.
Fuzzy Sets Syst.
Paris A. Mastorocostas, Ioannis B. Theocharis
2002 J jnl
A recurrent fuzzy-neural model for dynamic system identification.
IEEE Trans. Syst. Man Cybern. Part B
Paris A. Mastorocostas, Ioannis B. Theocharis
2001 J jnl
A constrained orthogonal least-squares method for generating TSK fuzzy models: Application to short-term load forecasting.
Fuzzy Sets Syst.
Paris A. Mastorocostas, Ioannis B. Theocharis, Vassilios Petridis
2001 B conf
D-OLS: An Orthogonal Least Squares Method for Dynamic Fuzzy Models.
FUZZ-IEEE
Paris A. Mastorocostas, Ioannis B. Theocharis
2000 B conf
A generalized TSK dynamic fuzzy neural network: application to adaptive noise cancellation.
FUZZ-IEEE
Paris A. Mastorocostas, John B. Theocharis
2000 J jnl
An orthogonal least squares-based fuzzy filter for real-time analysis of lung sounds.
IEEE Trans. Biomed. Eng.
Paris A. Mastorocostas, Yannis A. Tolias, John B. Theocharis, Leontios J. Hadjileontiadis, Stavros M. Panas
2000 J jnl
FUNCOM: A constrained learning algorithm for fuzzy neural networks.
Fuzzy Sets Syst.
Paris A. Mastorocostas, John B. Theocharis
1996 J jnl
On the Nonlinear Behavior of the Analog Phase-Locked Loop: Synchronization.
IEEE Trans. Ind. Electron.
Nikos Margaris, Paris A. Mastorocostas