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Paris A. Mastorocostas
Person information
- affiliation: Technological Education Institute of Central Macedonia, Serres, Greece
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2020 – today
- 2020
- [c21]George Kandilogiannakis, Paris A. Mastorocostas:
ReFuzzTiD: A Recurrent Neurofuzzy Model for Anomaly Detection in Time Series. IJCNN 2020: 1-7 - [c20]George Kandilogiannakis, Paris A. Mastorocostas, Constantinos S. Hilas:
A Dynamic Fuzzy Neural System for Time Series Classification. IEEE Conf. on Intelligent Systems 2020: 38-43
2010 – 2019
- 2018
- [c19]George Kandilogiannakis, Paris A. Mastorocostas, Dimitris N. Varsamis:
A computational intelligence-based filter for lung sound separation. PCI 2018: 107-112 - 2016
- [j19]Paris A. Mastorocostas, Constantinos S. Hilas, Dimitris N. Varsamis
, Stergiani C. Dova:
Telecommunications call volume forecasting with a block-diagonal recurrent fuzzy neural network. Telecommun. Syst. 63(1): 15-25 (2016) - 2015
- [j18]Stelios K. Mylonas
, Dimitris G. Stavrakoudis
, John B. Theocharis, Paris A. Mastorocostas:
A Region-Based GeneSIS Segmentation Algorithm for the Classification of Remotely Sensed Images. Remote. Sens. 7(3): 2474-2508 (2015) - [j17]Stelios K. Mylonas
, Dimitris G. Stavrakoudis
, John B. Theocharis, Paris A. Mastorocostas:
Classification of Remotely Sensed Images Using the GeneSIS Fuzzy Segmentation Algorithm. IEEE Trans. Geosci. Remote. Sens. 53(10): 5352-5376 (2015) - 2014
- [j16]Paris A. Mastorocostas, Constantinos S. Hilas:
SCOLS-FuM: A Hybrid Fuzzy Modeling Method for Telecommunications Time-Series Forecasting. Informatica 25(2): 221-239 (2014) - [c18]Stelios K. Mylonas
, Dimitris G. Stavrakoudis
, John B. Theocharis, Paris A. Mastorocostas:
Spectral-spatial classification of remote sensing images using a region-based GeneSIS Segmentation algorithm. FUZZ-IEEE 2014: 1976-1984 - 2013
- [j15]Paris A. Mastorocostas, Constantinos S. Hilas:
ReNFFor: a recurrent neurofuzzy forecaster for telecommunications data. Neural Comput. Appl. 22(7-8): 1727-1734 (2013) - [c17]Paris A. Mastorocostas, Constantinos S. Hilas, Dimitris N. Varsamis
, Stergiani C. Dova:
A telecommunications call volume forecasting system based on a recurrent fuzzy neural network. IJCNN 2013: 1-6 - 2012
- [j14]Paris A. Mastorocostas, Constantinos S. Hilas:
A computational intelligence-based forecasting system for telecommunications time series. Eng. Appl. Artif. Intell. 25(1): 200-206 (2012) - [c16]Dimitris N. Varsamis, Paris A. Mastorocostas, Apostolos Papakonstantinou, Nicholas P. Karampetakis:
A parallel searching algorithm for the insetting procedure in Matlab Parallel Toolbox. FedCSIS 2012: 587-593 - [c15]Paris A. Mastorocostas, Constantinos S. Hilas, Stergiani C. Dova, Dimitris N. Varsamis
:
Forecasting of telecommunications time-series via an Orthogonal Least Squares-based fuzzy model. FUZZ-IEEE 2012: 1-8 - [c14]Paris A. Mastorocostas, Constantinos S. Hilas, Stergiani C. Dova, Dimitris N. Varsamis
:
A TSK-based fuzzy system for telecommunications time-series forecasting. IEEE Conf. of Intelligent Systems 2012: 146-151 - 2011
- [c13]Paris A. Mastorocostas, Constantinos S. Hilas:
Telecommunications Data Forecasting Based on a Dynamic Neuro-fuzzy Network. ISNN (1) 2011: 529-537
2000 – 2009
- 2009
- [j13]Paris A. Mastorocostas, Constantinos S. Hilas:
A block-diagonal recurrent fuzzy neural network for system identification. Neural Comput. Appl. 18(7): 707-717 (2009) - [c12]Constantinos S. Hilas, Ioannis T. Rekanos, Sotirios K. Goudos
, Paris A. Mastorocostas, John N. Sahalos
:
Level change detection in time series using higher order statistics. DPS 2009: 1-6 - 2008
- [j12]Paris A. Mastorocostas, Dimitris G. Stavrakoudis
, John B. Theocharis:
A pipelined recurrent fuzzy model for real-time analysis of lung sounds. Eng. Appl. Artif. Intell. 21(8): 1301-1308 (2008) - [j11]Constantinos S. Hilas, Paris A. Mastorocostas:
An application of supervised and unsupervised learning approaches to telecommunications fraud detection. Knowl. Based Syst. 21(7): 721-726 (2008) - [j10]Paris A. Mastorocostas, Dimitris N. Varsamis
, Constantinos S. Hilas, Constantinos A. Mastorocostas:
A generalized Takagi-Sugeno-Kang recurrent fuzzy-neural filter for adaptive noise cancelation. Neural Comput. Appl. 17(5-6): 521-529 (2008) - 2007
- [j9]Paris A. Mastorocostas, John B. Theocharis:
A dynamic fuzzy neural filter for separation of discontinuous adventitious sounds from vesicular sounds. Comput. Biol. Medicine 37(1): 60-69 (2007) - [c11]Paris A. Mastorocostas:
A Block-Diagonal Recurrent Fuzzy Neural Network for Dynamic System Identification. FUZZ-IEEE 2007: 1-6 - [c10]Dimitris G. Stavrakoudis
, Paris A. Mastorocostas, John B. Theocharis:
A Pipelined Recurrent Fuzzy Neural Filter for the Separation of Lung Sounds. FUZZ-IEEE 2007: 1-6 - [c9]Paris A. Mastorocostas, Dimitris N. Varsamis
, Constantinos A. Mastorocostas, Constantinos S. Hilas:
A Locally Recurrent Globally Feed-Forward Fuzzy Neural Network for Processing Lung Sounds. ICANN (2) 2007: 120-128 - 2006
- [j8]Paris A. Mastorocostas:
A recurrent fuzzy filter for the analysis of lung sounds. Fuzzy Sets Syst. 157(4): 578-594 (2006) - [j7]Paris A. Mastorocostas, Ioannis B. Theocharis:
A Stable Learning Algorithm for Block-Diagonal Recurrent Neural Networks: Application to the Analysis of Lung Sounds. IEEE Trans. Syst. Man Cybern. Part B 36(2): 242-254 (2006) - [c8]Paris A. Mastorocostas, Dimitris N. Varsamis, Constantinos A. Mastorocostas:
A Simulated Annealing-based Learning Algorithm for Block-Diagonal Recurrent Neural Networks. Artificial Intelligence and Applications 2006: 244-249 - [c7]Paris A. Mastorocostas, Dimitris N. Varsamis, Constantinos A. Mastorocostas, Constantinos S. Hilas:
A Recurrent Neural Filter for Adaptive Noise Cancellation. Artificial Intelligence and Applications 2006: 341-346 - 2005
- [c6]Paris A. Mastorocostas, Dimitris N. Varsamis, Constantinos A. Mastorocostas, Ioannis T. Rekanos:
An Accelerating Learning Algorithm for Block-Diagonal Recurrent Neural Networks. CIMCA/IAWTIC 2005: 403-408 - [c5]Paris A. Mastorocostas, Dimitris N. Varsamis, Constantinos A. Mastorocostas, Constantinos S. Hilas:
A Recurrent Fuzzy Filter for Adaptive Noise Cancellation. CIMCA/IAWTIC 2005: 408-413 - [c4]Paris A. Mastorocostas, Ioannis T. Rekanos:
Simulated annealing dynamic RPROP for training recurrent fuzzy systems. FUZZ-IEEE 2005: 1086-1091 - 2004
- [c3]Paris A. Mastorocostas, Constantinos S. Hilas:
A dynamic fuzzy-neural filter for the analysis of lung sounds. SMC (3) 2004: 2231-2236 - 2003
- [j6]Paris A. Mastorocostas, Ioannis B. Theocharis:
An orthogonal least-squares method for recurrent fuzzy-neural modeling. Fuzzy Sets Syst. 140(2): 285-300 (2003) - 2002
- [j5]Paris A. Mastorocostas, Ioannis B. Theocharis:
A recurrent fuzzy-neural model for dynamic system identification. IEEE Trans. Syst. Man Cybern. Part B 32(2): 176-190 (2002) - 2001
- [j4]Paris A. Mastorocostas, Ioannis B. Theocharis, Vassilios Petridis:
A constrained orthogonal least-squares method for generating TSK fuzzy models: Application to short-term load forecasting. Fuzzy Sets Syst. 118(2): 215-233 (2001) - [c2]Paris A. Mastorocostas, Ioannis B. Theocharis:
D-OLS: An Orthogonal Least Squares Method for Dynamic Fuzzy Models. FUZZ-IEEE 2001: 119-122 - 2000
- [j3]Paris A. Mastorocostas, John B. Theocharis:
FUNCOM: A constrained learning algorithm for fuzzy neural networks. Fuzzy Sets Syst. 112(1): 1-26 (2000) - [j2]Paris A. Mastorocostas, Yannis A. Tolias, John B. Theocharis, Leontios J. Hadjileontiadis
, Stavros M. Panas:
An orthogonal least squares-based fuzzy filter for real-time analysis of lung sounds. IEEE Trans. Biomed. Eng. 47(9): 1165-1176 (2000) - [c1]Paris A. Mastorocostas, John B. Theocharis:
A generalized TSK dynamic fuzzy neural network: application to adaptive noise cancellation. FUZZ-IEEE 2000: 877-882
1990 – 1999
- 1996
- [j1]Nikos Margaris, Paris A. Mastorocostas:
On the Nonlinear Behavior of the Analog Phase-Locked Loop: Synchronization. IEEE Trans. Ind. Electron. 43(6): 621-629 (1996)
Coauthor Index
aka: Ioannis B. Theocharis
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