John B. Theocharis

Publication Activity (10 Years)

Years Active: 1984-2024
Publications (10 Years): 19

Top Topics

Remotely Sensed Imagery

Decision Fusion

Intravascular Ultrasound

Differential Evolution

Top Venues

Comput. methods Biomech. Biomed. Eng. Imaging Vis.

Publications

Nikolaos L. Tsakiridis, Nikiforos Samarinas, Eleni Kalopesa, John B. Theocharis, George C. Zalidis
Enhanced Soil Property Estimations from Earth Observation Data with Differential Evolution-Based Multi-Objective TSK Model. CEC (2024)
Christos G. Chadoulos, Dimitrios Tsaopoulos, Serafeim P. Moustakidis, John B. Theocharis
A Multi-View Semi-supervised learning method for knee joint cartilage segmentation combining multiple feature descriptors and image modalities. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 12 (1) (2024)
Christos G. Chadoulos, Dimitrios Tsaopoulos, Serafeim P. Moustakidis, Nikolaos L. Tsakiridis, John B. Theocharis
A novel multi-atlas segmentation approach under the semi-supervised learning framework: Application to knee cartilage segmentation. Comput. Methods Programs Biomed. 227 (2022)
Christos G. Chadoulos, Serafeim P. Moustakidis, Dimitrios Tsaopoulos, John B. Theocharis
Multi-atlas segmentation of knee cartilage via Semi-supervised Regional Label Propagation. CSAI (2021)
Nikolaos Tziolas, Nikolaos L. Tsakiridis, Eyal Ben-Dor, John B. Theocharis, George C. Zalidis
Employing a Multi-Input Deep Convolutional Neural Network to Derive Soil Clay Content from a Synergy of Multi-Temporal Optical and Radar Imagery Data. Remote. Sens. 12 (9) (2020)
Nikolaos L. Tsakiridis, Themistoklis Diamantopoulos, Andreas L. Symeonidis, John B. Theocharis, Athanasios C. Iossifides, Periklis Chatzimisios, George Pratos, Dimitris Kouvas
Versatile Internet of Things for Agriculture: An eXplainable AI Approach. AIAI (2) (2020)
Nikolaos L. Tsakiridis, Christos G. Chadoulos, John B. Theocharis, Eyal Ben-Dor, George C. Zalidis
A three-level Multiple-Kernel Learning approach for soil spectral analysis. Neurocomputing 389 (2020)
Nikolaos L. Tsakiridis, John B. Theocharis, Panos Panagos, George C. Zalidis
An evolutionary fuzzy rule-based system applied to the prediction of soil organic carbon from soil spectral libraries. Appl. Soft Comput. 81 (2019)
Nikolaos L. Tsakiridis, John B. Theocharis, George C. Zalidis
An evolutionary fuzzy rule-based system applied to real-world Big Data - the GEO-CRADLE and LUCAS soil spectral libraries. FUZZ-IEEE (2018)
Nikolaos L. Tsakiridis, John B. Theocharis, George C. Zalidis
A fuzzy rule-based system utilizing differential evolution with an application in vis-NIR soil spectroscopy. FUZZ-IEEE (2017)
Nikolaos L. Tsakiridis, John B. Theocharis, George C. Zalidis
RUM: A Differential Evolution learning approach for generating compact Mamdani fuzzy rule-based models. Expert Syst. Appl. 83 (2017)
Stelios K. Mylonas, Dimitris G. Stavrakoudis, John B. Theocharis, George C. Zalidis, Ioannis Z. Gitas
A Local Search-Based GeneSIS algorithm for the Segmentation and Classification of Remote-Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9 (4) (2016)
Nikolaos L. Tsakiridis, John B. Theocharis, George C. Zalidis
R: A Differential Evolution-based algorithm for generating compact Fuzzy Rule-based Classification Systems. Knowl. Based Syst. 105 (2016)
Nikolaos L. Tsakiridis, John B. Theocharis, Raúl Pérez, Antonio González, George C. Zalidis
Extensions of the DECO3R algorithm for generating compact and cooperating Fuzzy Rule-based Classification Systems. FUZZ-IEEE (2016)
David García, Dimitris G. Stavrakoudis, Antonio González Muñoz, Raúl Pérez, John B. Theocharis
A Fuzzy Rule-Based Feature Construction Approach Applied to Remotely Sensed Imagery. IFSA-EUSFLAT (2015)
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) (2015)
Nikolaos L. Tsakiridis, John B. Theocharis, George C. Zalidis
DECO3R: Differential evolution based COoperative-COmpeting learning of COmpact fuzzy Rulebased classification systems. FUZZ-IEEE (2015)
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) (2015)
Vasilis G. Giannoglou, Dimitris G. Stavrakoudis, John B. Theocharis, Vassilios Petridis
Genetic fuzzy rule based classification systems for coronary plaque characterization based on intravascular ultrasound images. Eng. Appl. Artif. Intell. 38 (2015)
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)
Eleni Dragozi, Ioannis Z. Gitas, Dimitris G. Stavrakoudis, John B. Theocharis
Burned Area Mapping Using Support Vector Machines and the FuzCoC Feature Selection Method on VHR IKONOS Imagery. Remote. Sens. 6 (12) (2014)
Vasilis G. Giannoglou, John B. Theocharis
Decision Fusion of Multiple Classifiers for Coronary Plaque Characterization from IVUS Images. Int. J. Artif. Intell. Tools 23 (3) (2014)
Stelios K. Mylonas, Dimitris G. Stavrakoudis, John B. Theocharis
GeneSIS: A GA-based fuzzy segmentation algorithm for remote sensing images. Knowl. Based Syst. 54 (2013)
Serafeim P. Moustakidis, Giorgos Mallinis, Nikos Koutsias, John B. Theocharis, Vassilios Petridis
SVM-Based Fuzzy Decision Trees for Classification of High Spatial Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 50 (1) (2012)
Dimitris G. Stavrakoudis, Georgia N. Galidaki, Ioannis Z. Gitas, John B. Theocharis
A Genetic Fuzzy-Rule-Based Classifier for Land Cover Classification From Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 50 (1) (2012)
Vasilis G. Giannoglou, Dimitris G. Stavrakoudis, John B. Theocharis
IVUS-based characterization of atherosclerotic plaques using feature selection and SVM classification. BIBE (2012)
Serafeim P. Moustakidis, John B. Theocharis
A fast SVM-based wrapper feature selection method driven by a fuzzy complementary criterion. Pattern Anal. Appl. 15 (4) (2012)
Dimitris G. Stavrakoudis, Georgia N. Galidaki, Ioannis Z. Gitas, John B. Theocharis
Reducing the Complexity of Genetic Fuzzy Classifiers in Highly-Dimensional Classification Problems. Int. J. Comput. Intell. Syst. 5 (2) (2012)
Fani A. Tzima, Pericles A. Mitkas, John B. Theocharis
Clustering-based initialization of Learning Classifier Systems - Effects on model performance, readability and induction time. Soft Comput. 16 (7) (2012)
Vasilis G. Giannoglou, Dimitris G. Stavrakoudis, John B. Theocharis, Vassilios Petridis
Genetic fuzzy rule-based classification systems for tissue characterization of intravascular ultrasound images. FUZZ-IEEE (2012)
Stelios K. Mylonas, Dimitris G. Stavrakoudis, John B. Theocharis
A GA-based sequential fuzzy segmentation approach for classification of remote sensing images. FUZZ-IEEE (2012)
Nikolaos E. Mitrakis, John B. Theocharis
A diversity-driven structure learning algorithm for building hierarchical neuro-fuzzy classifiers. Inf. Sci. 186 (1) (2012)
Dimitris G. Stavrakoudis, Georgia N. Galidaki, Ioannis Z. Gitas, John B. Theocharis
A Fast Iterative Rule-based Linguistic Classifier for hyperspectral remote sensing tasks. GEFS (2011)
Dimitris G. Stavrakoudis, John B. Theocharis, George C. Zalidis
A multistage genetic fuzzy classifier for land cover classification from satellite imagery. Soft Comput. 15 (12) (2011)
Dimitris G. Stavrakoudis, Ioannis Z. Gitas, John B. Theocharis
A hierarchical genetic fuzzy rule-based classifier for high-dimensional classification problems. FUZZ-IEEE (2011)
Serafeim P. Moustakidis, John B. Theocharis
SVM-FuzCoC: A novel SVM-based feature selection method using a fuzzy complementary criterion. Pattern Recognit. 43 (11) (2010)
Dimitris G. Stavrakoudis, Georgia N. Galidaki, Ioannis Z. Gitas, John B. Theocharis
Enhancing the interpretability of genetic fuzzy classifiers in land cover classification from hyperspectral satellite imagery. FUZZ-IEEE (2010)
Nikolaos E. Mitrakis, Serafeim P. Moustakidis, John B. Theocharis
A Fuzzy Complementary Criterion for structure learning of a neuro-fuzzy classifier. FUZZ-IEEE (2010)
Dimitris G. Stavrakoudis, John B. Theocharis
Employing effective feature selection in Genetic Fuzzy Rule-Based Classification Systems. GEFS (2010)
Dimitris G. Stavrakoudis, John B. Theocharis
A genetic fuzzy rule-based classifier for land cover image classification. FUZZ-IEEE (2009)
Serafeim P. Moustakidis, John B. Theocharis, Giannis Giakas
Subject Recognition Based on Ground Reaction Force Measurements of Gait Signals. IEEE Trans. Syst. Man Cybern. Part B 38 (6) (2008)
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) (2008)
Dimitris G. Stavrakoudis, A. K. Papastamoulis, John B. Theocharis
Evolutionary identification of a recurrent fuzzy neural network with enhanced memory capabilities. GEFS (2008)
Nikolaos E. Mitrakis, John B. Theocharis, Vassilios Petridis
A multilayered neuro-fuzzy classifier with self-organizing properties. Fuzzy Sets Syst. 159 (23) (2008)
Nikolaos E. Mitrakis, Charalampos A. Topaloglou, Thomas K. Alexandridis, John B. Theocharis, George C. Zalidis
Decision Fusion of GA Self-Organizing Neuro-Fuzzy Multilayered Classifiers for Land Cover Classification Using Textural and Spectral Features. IEEE Trans. Geosci. Remote. Sens. 46 (7) (2008)
Serafeim P. Moustakidis, George A. Rovithakis, John B. Theocharis
An adaptive neuro-fuzzy tracking control for multi-input nonlinear dynamic systems. Autom. 44 (5) (2008)
T. G. Barbounis, John B. Theocharis
Locally recurrent neural networks for wind speed prediction using spatial correlation. Inf. Sci. 177 (24) (2007)
Dimitris G. Stavrakoudis, John B. Theocharis
Pipelined Recurrent Fuzzy Neural Networks for Nonlinear Adaptive Speech Prediction. IEEE Trans. Syst. Man Cybern. Part B 37 (5) (2007)
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) (2007)
Dimitris G. Stavrakoudis, Paris A. Mastorocostas, John B. Theocharis
A Pipelined Recurrent Fuzzy Neural Filter for the Separation of Lung Sounds. FUZZ-IEEE (2007)
T. G. Barbounis, John B. Theocharis
A locally recurrent fuzzy neural network with application to the wind speed prediction using spatial correlation. Neurocomputing 70 (7-9) (2007)
Dimitris G. Stavrakoudis, John B. Theocharis
A recurrent fuzzy neural network for adaptive speech prediction. SMC (2007)
Vassilios Petridis, John B. Theocharis, Vassilis Syrris
Application of Fuzzy Lattice Neurocomputing (FLN) for Environmental Data Estimation. FUZZ-IEEE (2006)
John B. Theocharis
A high-order recurrent neuro-fuzzy system with internal dynamics: Application to the adaptive noise cancellation. Fuzzy Sets Syst. 157 (4) (2006)
Stelios E. Papadakis, John B. Theocharis
A genetic method for designing TSK models based on objective weighting: application to classification problems. Soft Comput. 10 (9) (2006)
T. G. Barbounis, John B. Theocharis
Locally recurrent neural networks for long-term wind speed and power prediction. Neurocomputing 69 (4-6) (2006)
Stelios E. Papadakis, Panagiotis Tzionas, Vassilis G. Kaburlasos, John B. Theocharis
A Genetic Based Approach to the Type I Structure Identification Problem. Informatica 16 (3) (2005)
E. Delivopoulos, John B. Theocharis
A modified PNN algorithm with optimal PD modeling using the orthogonal least squares method. Inf. Sci. 168 (1-4) (2004)
Paris A. Mastorocostas, John B. Theocharis
A generalized TSK dynamic fuzzy neural network: application to adaptive noise cancellation. FUZZ-IEEE (2000)
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) (2000)
Paris A. Mastorocostas, John B. Theocharis
FUNCOM: A constrained learning algorithm for fuzzy neural networks. Fuzzy Sets Syst. 112 (1) (2000)
Zoe Doulgeri, John B. Theocharis
On the stability of T-S fuzzy control for non-linear systems. EUSFLAT-ESTYLF Joint Conf. (1999)
Stelios E. Papadakis, John B. Theocharis, Anastasios G. Bakirtzis
Fuzzy short-term load forecasting models based on load curve-shaped prototype fuzzy clustering. ECC (1999)
John B. Theocharis, George J. Vachtsevanos
Identification of Discrete-Time Dynamical Systems Via Recurrent Fuzzy Models. J. Intell. Fuzzy Syst. 5 (3) (1997)
John B. Theocharis, George J. Vachtsevanos
Recursive learning algorithms for training fuzzy recurrent models. Int. J. Intell. Syst. 11 (12) (1996)
Stelios E. Papadakis, John B. Theocharis
An efficient fuzzy neural modeling approach using the fuzzy curve concept. ICECS (1996)
John B. Theocharis, George J. Vachtsevanos
Adaptive Fuzzy Neural Networks as identifiers of discrete-time nonlinear dynamic systems. J. Intell. Robotic Syst. 17 (2) (1996)
John B. Theocharis, Vassilios Petridis
Comparison of three nonlinear filtering schemes. Inf. Sci. 32 (2) (1984)