Comparison of three nonlinear filtering schemes. - John B. Theocharis; Vassilios Petridis (Inf. Sci., 1984)

Detecting aneurysms in retinal images: fuzzy morphology vs. conventional methods. - Yannis A. Tolias; Ioannis B. Theocharis; Stavros M. Panas (SAC, 1995)

An efficient fuzzy neural modeling approach using the fuzzy curve concept. - Stelios E. Papadakis; John B. Theocharis (ICECS, 1996)

Recursive learning algorithms for training fuzzy recurrent models. - John B. Theocharis; George J. Vachtsevanos (Int. J. Intell. Syst., 1996)

Adaptive Fuzzy Neural Networks as identifiers of discrete-time nonlinear dynamic systems. - John B. Theocharis; George J. Vachtsevanos (J. Intell. Robotic Syst., 1996)

Identification of Discrete-Time Dynamical Systems Via Recurrent Fuzzy Models. - John B. Theocharis; George J. Vachtsevanos (J. Intell. Fuzzy Syst., 1997)

Fuzzy short-term load forecasting models based on load curve-shaped prototype fuzzy clustering. - Stelios E. Papadakis; John B. Theocharis; Anastasios G. Bakirtzis (ECC, 1999)

On the stability of T-S fuzzy control for non-linear systems. - Zoe Doulgeri; John B. Theocharis (EUSFLAT-ESTYLF Joint Conf., 1999)

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)

Microgenetic algorithms as generalized hill-climbing operators for GA optimization. - Spiridon A. Kazarlis; Stelios E. Papadakis; Ioannis B. Theocharis; Vassilios Petridis (IEEE Trans. Evol. Comput., 2001)

A GA-based fuzzy modeling approach for generating TSK models. - Stelios E. Papadakis; Ioannis B. Theocharis (Fuzzy Sets Syst., 2002)

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)

A load curve based fuzzy modeling technique for short-term load forecasting. - Stelios E. Papadakis; Ioannis B. Theocharis; Anastasios G. Bakirtzis (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 modified PNN algorithm with optimal PD modeling using the orthogonal least squares method. - E. Delivopoulos; John B. Theocharis (Inf. Sci., 2004)

Locally recurrent neural networks optimal filtering algorithms: application to wind speed prediction using spatial correlation. - Thanasis G. Barbounis; John B. Theocharis (IJCNN, 2005)

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

A Genetic Based Approach to the Type I Structure Identification Problem. - Stelios E. Papadakis; Panagiotis Tzionas; Vassilis G. Kaburlasos; John B. Theocharis (Informatica, 2005)

Application of Fuzzy Lattice Neurocomputing (FLN) for Environmental Data Estimation. - Vassilios Petridis; John B. Theocharis; Vassilis Syrris (FUZZ-IEEE, 2006)

A high-order recurrent neuro-fuzzy system with internal dynamics: Application to the adaptive noise cancellation. - John B. Theocharis (Fuzzy Sets Syst., 2006)

Locally recurrent neural networks for long-term wind speed and power prediction. - Thanasis G. Barbounis; John B. Theocharis (Neurocomputing, 2006)

A genetic method for designing TSK models based on objective weighting: application to classification problems. - Stelios E. Papadakis; John B. Theocharis (Soft Comput., 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 Pipelined Recurrent Fuzzy Neural Filter for the Separation of Lung Sounds. - Dimitris G. Stavrakoudis; Paris A. Mastorocostas; John B. Theocharis (FUZZ-IEEE, 2007)

A recurrent fuzzy neural network for adaptive speech prediction. - Dimitris G. Stavrakoudis; John B. Theocharis (SMC, 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 locally recurrent fuzzy neural network with application to the wind speed prediction using spatial correlation. - Thanasis G. Barbounis; John B. Theocharis (Neurocomputing, 2007)

Locally recurrent neural networks for wind speed prediction using spatial correlation. - Thanasis G. Barbounis; John B. Theocharis (Inf. Sci., 2007)

Pipelined Recurrent Fuzzy Neural Networks for Nonlinear Adaptive Speech Prediction. - Dimitris G. Stavrakoudis; John B. Theocharis (IEEE Trans. Syst. Man Cybern. Part B, 2007)

Evolutionary identification of a recurrent fuzzy neural network with enhanced memory capabilities. - Dimitris G. Stavrakoudis; A. K. Papastamoulis; John B. Theocharis (GEFS, 2008)

An adaptive neuro-fuzzy tracking control for multi-input nonlinear dynamic systems. - Serafeim P. Moustakidis; George A. Rovithakis; John B. Theocharis (Autom., 2008)

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)

A multilayered neuro-fuzzy classifier with self-organizing properties. - Nikolaos E. Mitrakis; John B. Theocharis; Vassilios Petridis (Fuzzy Sets Syst., 2008)

Decision Fusion of GA Self-Organizing Neuro-Fuzzy Multilayered Classifiers for Land Cover Classification Using Textural and Spectral Features. - Nikolaos E. Mitrakis; Charalampos A. Topaloglou; Thomas K. Alexandridis; John B. Theocharis; George C. Zalidis (IEEE Trans. Geosci. Remote. Sens., 2008)

Subject Recognition Based on Ground Reaction Force Measurements of Gait Signals. - Serafeim P. Moustakidis; John B. Theocharis; Giannis Giakas (IEEE Trans. Syst. Man Cybern. Part B, 2008)

A genetic fuzzy rule-based classifier for land cover image classification. - Dimitris G. Stavrakoudis; John B. Theocharis (FUZZ-IEEE, 2009)

A Fuzzy Complementary Criterion for structure learning of a neuro-fuzzy classifier. - Nikolaos E. Mitrakis; Serafeim P. Moustakidis; John B. Theocharis (FUZZ-IEEE, 2010)

Enhancing the interpretability of genetic fuzzy classifiers in land cover classification from hyperspectral satellite imagery. - Dimitris G. Stavrakoudis; Georgia N. Galidaki; Ioannis Z. Gitas; John B. Theocharis (FUZZ-IEEE, 2010)

Employing effective feature selection in Genetic Fuzzy Rule-Based Classification Systems. - Dimitris G. Stavrakoudis; John B. Theocharis (GEFS, 2010)

SVM-FuzCoC: A novel SVM-based feature selection method using a fuzzy complementary criterion. - Serafeim P. Moustakidis; John B. Theocharis (Pattern Recognit., 2010)

A hierarchical genetic fuzzy rule-based classifier for high-dimensional classification problems. - Dimitris G. Stavrakoudis; Ioannis Z. Gitas; John B. Theocharis (FUZZ-IEEE, 2011)

A Fast Iterative Rule-based Linguistic Classifier for hyperspectral remote sensing tasks. - Dimitris G. Stavrakoudis; Georgia N. Galidaki; Ioannis Z. Gitas; John B. Theocharis (GEFS, 2011)

A multistage genetic fuzzy classifier for land cover classification from satellite imagery. - Dimitris G. Stavrakoudis; John B. Theocharis; George C. Zalidis (Soft Comput., 2011)

IVUS-based characterization of atherosclerotic plaques using feature selection and SVM classification. - Vasilis G. Giannoglou; Dimitris G. Stavrakoudis; John B. Theocharis (BIBE, 2012)

Genetic fuzzy rule-based classification systems for tissue characterization of intravascular ultrasound images. - Vasilis G. Giannoglou; Dimitris G. Stavrakoudis; John B. Theocharis; Vassilios Petridis (FUZZ-IEEE, 2012)

A GA-based sequential fuzzy segmentation approach for classification of remote sensing images. - Stelios K. Mylonas; Dimitris G. Stavrakoudis; John B. Theocharis (FUZZ-IEEE, 2012)

Reducing the Complexity of Genetic Fuzzy Classifiers in Highly-Dimensional Classification Problems. - Dimitris G. Stavrakoudis; Georgia N. Galidaki; Ioannis Z. Gitas; John B. Theocharis (Int. J. Comput. Intell. Syst., 2012)

A diversity-driven structure learning algorithm for building hierarchical neuro-fuzzy classifiers. - Nikolaos E. Mitrakis; John B. Theocharis (Inf. Sci., 2012)

A fast SVM-based wrapper feature selection method driven by a fuzzy complementary criterion. - Serafeim P. Moustakidis; John B. Theocharis (Pattern Anal. Appl., 2012)

Clustering-based initialization of Learning Classifier Systems - Effects on model performance, readability and induction time. - Fani A. Tzima; Pericles A. Mitkas; John B. Theocharis (Soft Comput., 2012)

SVM-Based Fuzzy Decision Trees for Classification of High Spatial Resolution Remote Sensing Images. - Serafeim P. Moustakidis; Giorgos Mallinis; Nikos Koutsias; John B. Theocharis; Vassilios Petridis (IEEE Trans. Geosci. Remote. Sens., 2012)

A Genetic Fuzzy-Rule-Based Classifier for Land Cover Classification From Hyperspectral Imagery. - Dimitris G. Stavrakoudis; Georgia N. Galidaki; Ioannis Z. Gitas; John B. Theocharis (IEEE Trans. Geosci. Remote. Sens., 2012)

GeneSIS: A GA-based fuzzy segmentation algorithm for remote sensing images. - Stelios K. Mylonas; Dimitris G. Stavrakoudis; John B. Theocharis (Knowl. Based Syst., 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)

Decision Fusion of Multiple Classifiers for Coronary Plaque Characterization from IVUS Images. - Vasilis G. Giannoglou; John B. Theocharis (Int. J. Artif. Intell. Tools, 2014)

Burned Area Mapping Using Support Vector Machines and the FuzCoC Feature Selection Method on VHR IKONOS Imagery. - Eleni Dragozi; Ioannis Z. Gitas; Dimitris G. Stavrakoudis; John B. Theocharis (Remote. Sens., 2014)

A Fuzzy Rule-Based Feature Construction Approach Applied to Remotely Sensed Imagery. - David García; Dimitris G. Stavrakoudis; Antonio González Muñoz; Raúl Pérez; John B. Theocharis (IFSA-EUSFLAT, 2015)

DECO3R: Differential evolution based COoperative-COmpeting learning of COmpact fuzzy Rulebased classification systems. - Nikolaos L. Tsakiridis; John B. Theocharis; George C. Zalidis (FUZZ-IEEE, 2015)

Genetic fuzzy rule based classification systems for coronary plaque characterization based on intravascular ultrasound images. - Vasilis G. Giannoglou; Dimitris G. Stavrakoudis; John B. Theocharis; Vassilios Petridis (Eng. Appl. Artif. Intell., 2015)

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)

Extensions of the DECO3R algorithm for generating compact and cooperating Fuzzy Rule-based Classification Systems. - Nikolaos L. Tsakiridis; John B. Theocharis; Raúl Pérez; Antonio González 005; George C. Zalidis (FUZZ-IEEE, 2016)

DECO3R: A Differential Evolution-based algorithm for generating compact Fuzzy Rule-based Classification Systems. - Nikolaos L. Tsakiridis; John B. Theocharis; George C. Zalidis (Knowl. Based Syst., 2016)

A Local Search-Based GeneSIS algorithm for the Segmentation and Classification of Remote-Sensing Images. - Stelios K. Mylonas; Dimitris G. Stavrakoudis; John B. Theocharis; George C. Zalidis; Ioannis Z. Gitas (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

A fuzzy rule-based system utilizing differential evolution with an application in vis-NIR soil spectroscopy. - Nikolaos L. Tsakiridis; John B. Theocharis; George C. Zalidis (FUZZ-IEEE, 2017)

DECO3RUM: A Differential Evolution learning approach for generating compact Mamdani fuzzy rule-based models. - Nikolaos L. Tsakiridis; John B. Theocharis; George C. Zalidis (Expert Syst. Appl., 2017)

An evolutionary fuzzy rule-based system applied to real-world Big Data - the GEO-CRADLE and LUCAS soil spectral libraries. - Nikolaos L. Tsakiridis; John B. Theocharis; George C. Zalidis (FUZZ-IEEE, 2018)

An evolutionary fuzzy rule-based system applied to the prediction of soil organic carbon from soil spectral libraries. - Nikolaos L. Tsakiridis; John B. Theocharis; Panos Panagos; George C. Zalidis (Appl. Soft Comput., 2019)

Versatile Internet of Things for Agriculture: An eXplainable AI Approach. - Nikolaos L. Tsakiridis; Themistoklis Diamantopoulos; Andreas L. Symeonidis; John B. Theocharis; Athanasios C. Iossifides; Periklis Chatzimisios; George Pratos; Dimitris Kouvas (AIAI (2), 2020)

A three-level Multiple-Kernel Learning approach for soil spectral analysis. - Nikolaos L. Tsakiridis; Christos G. Chadoulos; John B. Theocharis; Eyal Ben-Dor; George C. Zalidis (Neurocomputing, 2020)

Employing a Multi-Input Deep Convolutional Neural Network to Derive Soil Clay Content from a Synergy of Multi-Temporal Optical and Radar Imagery Data. - Nikolaos Tziolas; Nikolaos L. Tsakiridis; Eyal Ben-Dor; John B. Theocharis; George C. Zalidis (Remote. Sens., 2020)

Multi-atlas segmentation of knee cartilage via Semi-supervised Regional Label Propagation. - Christos G. Chadoulos; Serafeim P. Moustakidis; Dimitrios Tsaopoulos; John B. Theocharis (CSAI, 2021)

A novel multi-atlas segmentation approach under the semi-supervised learning framework: Application to knee cartilage segmentation. - Christos G. Chadoulos; Dimitrios Tsaopoulos; Serafeim P. Moustakidis; Nikolaos L. Tsakiridis; John B. Theocharis (Comput. Methods Programs Biomed., 2022)

Enhanced Soil Property Estimations from Earth Observation Data with Differential Evolution-Based Multi-Objective TSK Model. - Nikolaos L. Tsakiridis; Nikiforos Samarinas; Eleni Kalopesa; John B. Theocharis; George C. Zalidis (CEC, 2024)

Multi-fidelity Bayesian Optimization for Efficiently Sampling the Design Space of Functionalized Nanoporous Materials. - Ioannis B. Theocharis; Panagiotis Krokidas; Vassilis Gkatsis; George Giannakopoulos (SETN, 2024)

A Multi-View Semi-supervised learning method for knee joint cartilage segmentation combining multiple feature descriptors and image modalities. - Christos G. Chadoulos; Dimitrios Tsaopoulos; Serafeim P. Moustakidis; John B. Theocharis (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2024)

Knee-cartilage segmentation from MR images using Multi-view Hypergraph Convolutional Neural Networks. - Christos G. Chadoulos; John B. Theocharis; Andreas L. Symeonidis; Serafeim P. Moustakidis (Appl. Intell., 2025)