Ioannis B. Theocharis

发表

A high-order recurrent neuro-fuzzy system with internal dynamics: Application to the adaptive noise cancellation

Ioannis B. Theocharis, 2006, Fuzzy Sets Syst..

Genetic fuzzy rule-based classification systems for tissue characterization of intravascular ultrasound images

Ioannis B. Theocharis, Vassilios Petridis, Vasilis G. Giannoglou, 2012, 2012 IEEE International Conference on Fuzzy Systems.

DECO3R: A Differential Evolution-based algorithm for generating compact Fuzzy Rule-based Classification Systems

Ioannis B. Theocharis, Nikolaos L. Tsakiridis, George C. Zalidis, 2016, Knowl. Based Syst..

A Fuzzy Complementary Criterion for structure learning of a neuro-fuzzy classifier

Ioannis B. Theocharis, Nikolaos E. Mitrakis, Serafeim P. Moustakidis, 2010, International Conference on Fuzzy Systems.

A diversity-driven structure learning algorithm for building hierarchical neuro-fuzzy classifiers

Ioannis B. Theocharis, Nikolaos E. Mitrakis, N. Mitrakis, 2012, Inf. Sci..

Enhancing the interpretability of genetic fuzzy classifiers in land cover classification from hyperspectral satellite imagery

Ioannis B. Theocharis, Dimitris G. Stavrakoudis, Ioannis Z. Gitas, 2010, International Conference on Fuzzy Systems.

A GA-based sequential fuzzy segmentation approach for classification of remote sensing images

Ioannis B. Theocharis, Dimitris G. Stavrakoudis, Stelios K. Mylonas, 2012, 2012 IEEE International Conference on Fuzzy Systems.

An evolutionary fuzzy rule-based system applied to real-world Big Data - the GEO-CRADLE and LUCAS soil spectral libraries

Ioannis B. Theocharis, Nikolaos L. Tsakiridis, George C. Zalidis, 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Application of Fuzzy Lattice Neurocomputing (FLN) for Environmental Data Estimation

Ioannis B. Theocharis, Vassilios Petridis, Vassilis Syrris, 2006, 2006 IEEE International Conference on Fuzzy Systems.

A locally recurrent fuzzy neural network with application to the wind speed prediction using spatial correlation

Ioannis B. Theocharis, T. G. Barbounis, 2007, Neurocomputing.

A recurrent fuzzy neural network for adaptive speech prediction

Ioannis B. Theocharis, Dimitris G. Stavrakoudis, 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

Classification of Remotely Sensed Images Using the GeneSIS Fuzzy Segmentation Algorithm

Paris A. Mastorocostas, Ioannis B. Theocharis, Dimitris G. Stavrakoudis, 2015, IEEE Transactions on Geoscience and Remote Sensing.

A Local Search-Based GeneSIS algorithm for the Segmentation and Classification of Remote-Sensing Images

Ioannis B. Theocharis, Dimitris G. Stavrakoudis, George C. Zalidis, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Reducing the Complexity of Genetic Fuzzy Classifiers in Highly-Dimensional Classification Problems

Ioannis B. Theocharis, Dimitris G. Stavrakoudis, Ioannis Z. Gitas, 2012, Int. J. Comput. Intell. Syst..

Decision Fusion of Multiple Classifiers for Coronary Plaque Characterization from IVUS Images

Ioannis B. Theocharis, Vasilis G. Giannoglou, V. Giannoglou, 2014, Int. J. Artif. Intell. Tools.

A dynamic fuzzy neural filter for separation of discontinuous adventitious sounds from vesicular sounds

Paris A. Mastorocostas, Ioannis B. Theocharis, P. Mastorocostas, 2007, Comput. Biol. Medicine.

Employing a Multi-Input Deep Convolutional Neural Network to Derive Soil Clay Content from a Synergy of Multi-Temporal Optical and Radar Imagery Data

Eyal Ben-Dor, Ioannis B. Theocharis, Nikolaos L. Tsakiridis, 2020, Remote. Sens..

D-OLS: an orthogonal least squares method for dynamic fuzzy models

Paris A. Mastorocostas, Ioannis B. Theocharis, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

Subject Recognition Based on Ground Reaction Force Measurements of Gait Signals

Ioannis B. Theocharis, Serafeim P. Moustakidis, G. Giakas, 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Identification of Discrete-Time Dynamical Systems Via Recurrent Fuzzy Models

George J. Vachtsevanos, Ioannis B. Theocharis, G. Vachtsevanos, 1997, J. Intell. Fuzzy Syst..

A Genetic Based Approach to the Type I Structure Identification Problem

Ioannis B. Theocharis, Panagiotis Tzionas, Vassilis G. Kaburlasos, 2005, Informatica.

Locally recurrent neural networks for long-term wind speed and power prediction

Ioannis B. Theocharis, T. G. Barbounis, 2006, Neurocomputing.

IVUS-based characterization of atherosclerotic plaques using feature selection and SVM classification

Ioannis B. Theocharis, Vasilis G. Giannoglou, Dimitris G. Stavrakoudis, 2012, 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE).

Versatile Internet of Things for Agriculture: An eXplainable AI Approach

Periklis Chatzimisios, Ioannis B. Theocharis, Themistoklis G. Diamantopoulos, 2020, AIAI.

A hierarchical genetic fuzzy rule-based classifier for high-dimensional classification problems

Ioannis B. Theocharis, Dimitris G. Stavrakoudis, Ioannis Z. Gitas, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

A GA-based fuzzy modeling approach for generating TSK models

Ioannis B. Theocharis, Stelios E. Papadakis, S. Papadakis, 2002, Fuzzy Sets Syst..

Detecting aneurysms in retinal images: fuzzy morphology vs. conventional methods

Yannis A. Tolias, Stavros M. Panas, Ioannis B. Theocharis, 1995, SAC '95.

A Fuzzy Rule-Based Feature Construction Approach Applied to Remotely Sensed Imagery

David García, Antonio González Muñoz, Raúl Pérez, 2015, IFSA-EUSFLAT.

Microgenetic algorithms as generalized hill-climbing operators for GA optimization

Ioannis B. Theocharis, Vassilios Petridis, Spiridon A. Kazarlis, 2001, IEEE Trans. Evol. Comput..

A multistage genetic fuzzy classifier for land cover classification from satellite imagery

Ioannis B. Theocharis, Dimitris G. Stavrakoudis, George C. Zalidis, 2011, Soft Comput..

An adaptive neuro-fuzzy tracking control for multi-input nonlinear dynamic systems

George A. Rovithakis, Ioannis B. Theocharis, Serafeim P. Moustakidis, 2008, Autom..

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, 2001, Fuzzy Sets Syst..

A fuzzy rule-based system utilizing differential evolution with an application in vis-NIR soil spectroscopy

Ioannis B. Theocharis, Nikolaos L. Tsakiridis, George C. Zalidis, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A generalized TSK dynamic fuzzy neural network: application to adaptive noise cancellation

Paris A. Mastorocostas, Ioannis B. Theocharis, 2000, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063).

An orthogonal least-squares method for recurrent fuzzy-neural modeling

Paris A. Mastorocostas, Ioannis B. Theocharis, P. Mastorocostas, 2003, Fuzzy Sets Syst..

A genetic fuzzy rule-based classifier for land cover image classification

Ioannis B. Theocharis, Dimitris G. Stavrakoudis, 2009, 2009 IEEE International Conference on Fuzzy Systems.

Evolutionary identification of a recurrent fuzzy neural network with enhanced memory capabilities

Ioannis B. Theocharis, Dimitris G. Stavrakoudis, A. K. Papastamoulis, 2008, 2008 3rd International Workshop on Genetic and Evolving Systems.

A Genetic Fuzzy-Rule-Based Classifier for Land Cover Classification From Hyperspectral Imagery

Ioannis B. Theocharis, Dimitris G. Stavrakoudis, Ioannis Z. Gitas, 2012, IEEE Transactions on Geoscience and Remote Sensing.

DECO3RUM: A Differential Evolution learning approach for generating compact Mamdani fuzzy rule-based models

Ioannis B. Theocharis, Nikolaos L. Tsakiridis, George C. Zalidis, 2017, Expert Syst. Appl..

A three-level Multiple-Kernel Learning approach for soil spectral analysis

Eyal Ben-Dor, Ioannis B. Theocharis, Nikolaos L. Tsakiridis, 2020, Neurocomputing.

A fast SVM-based wrapper feature selection method driven by a fuzzy complementary criterion

Ioannis B. Theocharis, Serafeim P. Moustakidis, 2012, Pattern Analysis and Applications.

A multilayered neuro-fuzzy classifier with self-organizing properties

Ioannis B. Theocharis, Vassilios Petridis, Nikolaos E. Mitrakis, 2008, Fuzzy Sets Syst..

DECO3R: Differential evolution based COoperative-COmpeting learning of COmpact fuzzy Rulebased classification systems

Ioannis B. Theocharis, Nikolaos L. Tsakiridis, George C. Zalidis, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Adaptive Fuzzy Neural Networks as identifiers of discrete-time nonlinear dynamic systems

George J. Vachtsevanos, Ioannis B. Theocharis, G. Vachtsevanos, 1996, J. Intell. Robotic Syst..

Burned Area Mapping Using Support Vector Machines and the FuzCoC Feature Selection Method on VHR IKONOS Imagery

Ioannis B. Theocharis, Dimitris G. Stavrakoudis, Eleni Dragozi, 2014, Remote. Sens..

FUNCOM: A constrained learning algorithm for fuzzy neural networks

Paris A. Mastorocostas, Ioannis B. Theocharis, P. Mastorocostas, 2000, Fuzzy Sets Syst..

Pipelined Recurrent Fuzzy Neural Networks for Nonlinear Adaptive Speech Prediction

Ioannis B. Theocharis, Dimitris G. Stavrakoudis, D. Stavrakoudis, 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

SVM-Based Fuzzy Decision Trees for Classification of High Spatial Resolution Remote Sensing Images

Nikos Koutsias, Giorgos Mallinis, Ioannis B. Theocharis, 2012, IEEE Transactions on Geoscience and Remote Sensing.

A recurrent fuzzy-neural model for dynamic system identification

Paris A. Mastorocostas, Ioannis B. Theocharis, P. Mastorocostas, 2002, IEEE Trans. Syst. Man Cybern. Part B.

A Pipelined Recurrent Fuzzy Neural Filter for the Separation of Lung Sounds

Paris A. Mastorocostas, Ioannis B. Theocharis, Dimitris G. Stavrakoudis, 2007, 2007 IEEE International Fuzzy Systems Conference.

A load curve based fuzzy modeling technique for short-term load forecasting

Ioannis B. Theocharis, A. G. Bakirtzis, Stelios E. Papadakis, 2003, Fuzzy Sets Syst..

Locally recurrent neural networks for wind speed prediction using spatial correlation

Ioannis B. Theocharis, T. G. Barbounis, 2007, Inf. Sci..

A Fast Iterative Rule-based Linguistic Classifier for hyperspectral remote sensing tasks

Ioannis B. Theocharis, Dimitris G. Stavrakoudis, Ioannis Z. Gitas, 2011, 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS).

A pipelined recurrent fuzzy model for real-time analysis of lung sounds

Paris A. Mastorocostas, Ioannis B. Theocharis, Dimitris G. Stavrakoudis, 2008, Eng. Appl. Artif. Intell..

A Region-Based GeneSIS Segmentation Algorithm for the Classification of Remotely Sensed Images

Paris A. Mastorocostas, Ioannis B. Theocharis, Dimitris G. Stavrakoudis, 2015, Remote. Sens..

An orthogonal least squares-based fuzzy filter for real-time analysis of lung sounds

Yannis A. Tolias, Stavros M. Panas, Paris A. Mastorocostas, 2000, IEEE Transactions on Biomedical Engineering.

A modified PNN algorithm with optimal PD modeling using the orthogonal least squares method

Ioannis B. Theocharis, E. Delivopoulos, E. Delivopoulos, 2004, Inf. Sci..

SVM-FuzCoC: A novel SVM-based feature selection method using a fuzzy complementary criterion

Ioannis B. Theocharis, Serafeim P. Moustakidis, S. Moustakidis, 2010, Pattern Recognit..

A genetic method for designing TSK models based on objective weighting: application to classification problems.

Ioannis B. Theocharis, Stelios E. Papadakis, S. Papadakis, 2006, Soft Comput..

GeneSIS: A GA-based fuzzy segmentation algorithm for remote sensing images

Ioannis B. Theocharis, Dimitris G. Stavrakoudis, Stelios K. Mylonas, 2013, Knowl. Based Syst..

Decision Fusion of GA Self-Organizing Neuro-Fuzzy Multilayered Classifiers for Land Cover Classification Using Textural and Spectral Features

Ioannis B. Theocharis, George C. Zalidis, Nikolaos E. Mitrakis, 2008, IEEE Transactions on Geoscience and Remote Sensing.

Spectral-spatial classification of remote sensing images using a region-based GeneSIS Segmentation algorithm

Paris A. Mastorocostas, Ioannis B. Theocharis, Dimitris G. Stavrakoudis, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Employing effective feature selection in Genetic Fuzzy Rule-Based Classification Systems

Ioannis B. Theocharis, Dimitris G. Stavrakoudis, D. Stavrakoudis, 2010, 2010 4th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS).

Comparison of three nonlinear filtering schemes

Ioannis B. Theocharis, Vassilios Petridis, 1984, Inf. Sci..

Recursive learning algorithms for training fuzzy recurrent models

George J. Vachtsevanos, Ioannis B. Theocharis, G. Vachtsevanos, 1996, Int. J. Intell. Syst..

A stable learning algorithm for block-diagonal recurrent neural networks: application to the analysis of lung sounds

Paris A. Mastorocostas, Ioannis B. Theocharis, P. Mastorocostas, 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Clustering-based initialization of Learning Classifier Systems

Pericles A. Mitkas, Fani A. Tzima, Ioannis B. Theocharis, 2012, Soft Comput..

On the stability of T-S fuzzy control for non-linear systems

Zoe Doulgeri, Ioannis B. Theocharis, 1999, EUSFLAT-ESTYLF Joint Conf..

Extensions of the DECO3R algorithm for generating compact and cooperating Fuzzy Rule-based Classification Systems

Raúl Pérez, Ioannis B. Theocharis, Nikolaos L. Tsakiridis, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Genetic fuzzy rule based classification systems for coronary plaque characterization based on intravascular ultrasound images

Ioannis B. Theocharis, Vassilios Petridis, Vasilis G. Giannoglou, 2015, Eng. Appl. Artif. Intell..

An efficient fuzzy neural modeling approach using the fuzzy curve concept

Ioannis B. Theocharis, Stelios E. Papadakis, S. Papadakis, 1996, Proceedings of Third International Conference on Electronics, Circuits, and Systems.

A fast SVM-based wrapper feature selection method driven by a fuzzy complementary criterion

Ioannis B. Theocharis, S. Moustakidis, S. Moustakidis, 2012, Pattern Analysis and Applications.

Clustering-based initialization of Learning Classifier Systems

Ioannis B. Theocharis, P. Mitkas, F. Tzima, 2012, Soft Comput..

A novel multi-atlas segmentation approach under the semi-supervised learning framework: Application to knee cartilage segmentation

Ioannis B. Theocharis, Nikolaos L. Tsakiridis, Christos G. Chadoulos, 2022, Comput. Methods Programs Biomed..