On the Nonlinear Behavior of the Analog Phase-Locked Loop: Synchronization. - Nikos Margaris; Paris A. Mastorocostas (IEEE Trans. Ind. Electron., 1996)

A generalized TSK dynamic fuzzy neural network: application to adaptive noise cancellation. - Paris A. Mastorocostas; John B. Theocharis (FUZZ-IEEE, 2000)

FUNCOM: A constrained learning algorithm for fuzzy neural networks. - Paris A. Mastorocostas; John B. Theocharis (Fuzzy Sets Syst., 2000)

An orthogonal least squares-based fuzzy filter for real-time analysis of lung sounds. - Paris A. Mastorocostas; Yannis A. Tolias; John B. Theocharis; Leontios J. Hadjileontiadis; Stavros M. Panas (IEEE Trans. Biomed. Eng., 2000)

D-OLS: An Orthogonal Least Squares Method for Dynamic Fuzzy Models. - Paris A. Mastorocostas; Ioannis B. Theocharis (FUZZ-IEEE, 2001)

A constrained orthogonal least-squares method for generating TSK fuzzy models: Application to short-term load forecasting. - Paris A. Mastorocostas; Ioannis B. Theocharis; Vassilios Petridis (Fuzzy Sets Syst., 2001)

A recurrent fuzzy-neural model for dynamic system identification. - Paris A. Mastorocostas; Ioannis B. Theocharis (IEEE Trans. Syst. Man Cybern. Part B, 2002)

An orthogonal least-squares method for recurrent fuzzy-neural modeling. - Paris A. Mastorocostas; Ioannis B. Theocharis (Fuzzy Sets Syst., 2003)

On stable learning of block-diagonal recurrent neural networks, Part 1: the RENNCOM algorithm. - Paris A. Mastorocostas; John B. Theocharis (IJCNN, 2004)

On stable learning of block-diagonal recurrent neural networks, part 2: application to the analysis of lung sounds. - Paris A. Mastorocostas; John B. Theocharis (IJCNN, 2004)

A dynamic fuzzy-neural filter for the analysis of lung sounds. - Paris A. Mastorocostas; Constantinos S. Hilas (SMC (3), 2004)

A Recurrent Fuzzy Filter for Adaptive Noise Cancellation. - Paris A. Mastorocostas; Dimitris N. Varsamis; Constantinos A. Mastorocostas; Constantinos S. Hilas (CIMCA/IAWTIC, 2005)

An Accelerating Learning Algorithm for Block-Diagonal Recurrent Neural Networks. - Paris A. Mastorocostas; Dimitris N. Varsamis; Constantinos A. Mastorocostas; Ioannis T. Rekanos (CIMCA/IAWTIC, 2005)

Simulated annealing dynamic RPROP for training recurrent fuzzy systems. - Paris A. Mastorocostas; Ioannis T. Rekanos (FUZZ-IEEE, 2005)

A constrained optimization algorithm for training locally recurrent globally feedforward neural networks. - Paris A. Mastorocostas (IJCNN, 2005)

A recurrent fuzzy-neural filter for real-time separation of lung sounds. - Paris A. Mastorocostas; John B. Theocharis (IJCNN, 2005)

A Simulated Annealing-based Learning Algorithm for Block-Diagonal Recurrent Neural Networks. - Paris A. Mastorocostas; Dimitris N. Varsamis; Constantinos A. Mastorocostas (Artificial Intelligence and Applications, 2006)

A Recurrent Neural Filter for Adaptive Noise Cancellation. - Paris A. Mastorocostas; Dimitris N. Varsamis; Constantinos A. Mastorocostas; Constantinos S. Hilas (Artificial Intelligence and Applications, 2006)

A recurrent fuzzy filter for the analysis of lung sounds. - Paris A. Mastorocostas (Fuzzy Sets Syst., 2006)

A Stable Learning Algorithm for Block-Diagonal Recurrent Neural Networks: Application to the Analysis of Lung Sounds. - Paris A. Mastorocostas; Ioannis B. Theocharis (IEEE Trans. Syst. Man Cybern. Part B, 2006)

A Block-Diagonal Recurrent Fuzzy Neural Network for Dynamic System Identification. - Paris A. Mastorocostas (FUZZ-IEEE, 2007)

A Pipelined Recurrent Fuzzy Neural Filter for the Separation of Lung Sounds. - Dimitris G. Stavrakoudis; Paris A. Mastorocostas; John B. Theocharis (FUZZ-IEEE, 2007)

A Locally Recurrent Globally Feed-Forward Fuzzy Neural Network for Processing Lung Sounds. - Paris A. Mastorocostas; Dimitris N. Varsamis; Constantinos A. Mastorocostas; Constantinos S. Hilas (ICANN (2), 2007)

A dynamic fuzzy neural filter for separation of discontinuous adventitious sounds from vesicular sounds. - Paris A. Mastorocostas; John B. Theocharis (Comput. Biol. Medicine, 2007)

A pipelined recurrent fuzzy model for real-time analysis of lung sounds. - Paris A. Mastorocostas; Dimitris G. Stavrakoudis; John B. Theocharis (Eng. Appl. Artif. Intell., 2008)

An application of supervised and unsupervised learning approaches to telecommunications fraud detection. - Constantinos S. Hilas; Paris A. Mastorocostas (Knowl. Based Syst., 2008)

A generalized Takagi-Sugeno-Kang recurrent fuzzy-neural filter for adaptive noise cancelation. - Paris A. Mastorocostas; Dimitris N. Varsamis; Constantinos S. Hilas; Constantinos A. Mastorocostas (Neural Comput. Appl., 2008)

Level change detection in time series using higher order statistics. - Constantinos S. Hilas; Ioannis T. Rekanos; Sotirios K. Goudos; Paris A. Mastorocostas; John N. Sahalos (DPS, 2009)

A block-diagonal recurrent fuzzy neural network for system identification. - Paris A. Mastorocostas; Constantinos S. Hilas (Neural Comput. Appl., 2009)

Telecommunications Data Forecasting Based on a Dynamic Neuro-fuzzy Network. - Paris A. Mastorocostas; Constantinos S. Hilas (ISNN (1), 2011)

A parallel searching algorithm for the insetting procedure in Matlab Parallel Toolbox. - Dimitris N. Varsamis; Paris A. Mastorocostas; Apostolos Papakonstantinou; Nicholas P. Karampetakis (FedCSIS, 2012)

Forecasting of telecommunications time-series via an Orthogonal Least Squares-based fuzzy model. - Paris A. Mastorocostas; Constantinos S. Hilas; Stergiani C. Dova; Dimitris N. Varsamis (FUZZ-IEEE, 2012)

A TSK-based fuzzy system for telecommunications time-series forecasting. - Paris A. Mastorocostas; Constantinos S. Hilas; Stergiani C. Dova; Dimitris N. Varsamis (IEEE Conf. of Intelligent Systems, 2012)

A computational intelligence-based forecasting system for telecommunications time series. - Paris A. Mastorocostas; Constantinos S. Hilas (Eng. Appl. Artif. Intell., 2012)

A telecommunications call volume forecasting system based on a recurrent fuzzy neural network. - Paris A. Mastorocostas; Constantinos S. Hilas; Dimitris N. Varsamis; Stergiani C. Dova (IJCNN, 2013)

ReNFFor: a recurrent neurofuzzy forecaster for telecommunications data. - Paris A. Mastorocostas; Constantinos S. Hilas (Neural Comput. Appl., 2013)

Spectral-spatial classification of remote sensing images using a region-based GeneSIS Segmentation algorithm. - Stelios K. Mylonas; Dimitris G. Stavrakoudis; John B. Theocharis; Paris A. Mastorocostas (FUZZ-IEEE, 2014)

SCOLS-FuM: A Hybrid Fuzzy Modeling Method for Telecommunications Time-Series Forecasting. - Paris A. Mastorocostas; Constantinos S. Hilas (Informatica, 2014)

A Region-Based GeneSIS Segmentation Algorithm for the Classification of Remotely Sensed Images. - Stelios K. Mylonas; Dimitris G. Stavrakoudis; John B. Theocharis; Paris A. Mastorocostas (Remote. Sens., 2015)

Classification of Remotely Sensed Images Using the GeneSIS Fuzzy Segmentation Algorithm. - Stelios K. Mylonas; Dimitris G. Stavrakoudis; John B. Theocharis; Paris A. Mastorocostas (IEEE Trans. Geosci. Remote. Sens., 2015)

Telecommunications call volume forecasting with a block-diagonal recurrent fuzzy neural network. - Paris A. Mastorocostas; Constantinos S. Hilas; Dimitris N. Varsamis; Stergiani C. Dova (Telecommun. Syst., 2016)

A computational intelligence-based filter for lung sound separation. - George Kandilogiannakis; Paris A. Mastorocostas; Dimitris N. Varsamis (PCI, 2018)

ReFuzzTiD: A Recurrent Neurofuzzy Model for Anomaly Detection in Time Series. - George Kandilogiannakis; Paris A. Mastorocostas (IJCNN, 2020)

A Dynamic Fuzzy Neural System for Time Series Classification. - George Kandilogiannakis; Paris A. Mastorocostas; Constantinos S. Hilas (IEEE Conf. on Intelligent Systems, 2020)