John B. Theocharis

Orcid: 0000-0003-3814-8652

Affiliations:
  • Aristotle University of Thessaloniki, Department of Electrical and Computer Engineering, Greece


According to our database1, John B. Theocharis authored at least 77 papers between 1984 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
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., December, 2024

Enhanced Soil Property Estimations from Earth Observation Data with Differential Evolution-Based Multi-Objective TSK Model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2022
A novel multi-atlas segmentation approach under the semi-supervised learning framework: Application to knee cartilage segmentation.
Comput. Methods Programs Biomed., 2022

2021
Multi-atlas segmentation of knee cartilage via Semi-supervised Regional Label Propagation.
Proceedings of the CSAI 2021: 5th International Conference on Computer Science and Artificial Intelligence, Beijing, China, December 4, 2021

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.
Remote. Sens., 2020

A three-level Multiple-Kernel Learning approach for soil spectral analysis.
Neurocomputing, 2020

Versatile Internet of Things for Agriculture: An eXplainable AI Approach.
Proceedings of the Artificial Intelligence Applications and Innovations, 2020

2019
An evolutionary fuzzy rule-based system applied to the prediction of soil organic carbon from soil spectral libraries.
Appl. Soft Comput., 2019

2018
An evolutionary fuzzy rule-based system applied to real-world Big Data - the GEO-CRADLE and LUCAS soil spectral libraries.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017
DECO<sub>3</sub>RUM: A Differential Evolution learning approach for generating compact Mamdani fuzzy rule-based models.
Expert Syst. Appl., 2017

A fuzzy rule-based system utilizing differential evolution with an application in vis-NIR soil spectroscopy.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
A Local Search-Based GeneSIS algorithm for the Segmentation and Classification of Remote-Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

DECO<sub>3</sub>R: A Differential Evolution-based algorithm for generating compact Fuzzy Rule-based Classification Systems.
Knowl. Based Syst., 2016

Extensions of the DECO3R algorithm for generating compact and cooperating Fuzzy Rule-based Classification Systems.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
Classification of Remotely Sensed Images Using the GeneSIS Fuzzy Segmentation Algorithm.
IEEE Trans. Geosci. Remote. Sens., 2015

A Region-Based GeneSIS Segmentation Algorithm for the Classification of Remotely Sensed Images.
Remote. Sens., 2015

Genetic fuzzy rule based classification systems for coronary plaque characterization based on intravascular ultrasound images.
Eng. Appl. Artif. Intell., 2015

DECO3R: Differential evolution based COoperative-COmpeting learning of COmpact fuzzy Rulebased classification systems.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

A Fuzzy Rule-Based Feature Construction Approach Applied to Remotely Sensed Imagery.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

2014
Burned Area Mapping Using Support Vector Machines and the FuzCoC Feature Selection Method on VHR IKONOS Imagery.
Remote. Sens., 2014

Decision Fusion of Multiple Classifiers for Coronary Plaque Characterization from IVUS Images.
Int. J. Artif. Intell. Tools, 2014

Spectral-spatial classification of remote sensing images using a region-based GeneSIS Segmentation algorithm.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013
GeneSIS: A GA-based fuzzy segmentation algorithm for remote sensing images.
Knowl. Based Syst., 2013

2012
A Genetic Fuzzy-Rule-Based Classifier for Land Cover Classification From Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens., 2012

SVM-Based Fuzzy Decision Trees for Classification of High Spatial Resolution Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2012

Clustering-based initialization of Learning Classifier Systems - Effects on model performance, readability and induction time.
Soft Comput., 2012

A fast SVM-based wrapper feature selection method driven by a fuzzy complementary criterion.
Pattern Anal. Appl., 2012

A diversity-driven structure learning algorithm for building hierarchical neuro-fuzzy classifiers.
Inf. Sci., 2012

Reducing the Complexity of Genetic Fuzzy Classifiers in Highly-Dimensional Classification Problems.
Int. J. Comput. Intell. Syst., 2012

A GA-based sequential fuzzy segmentation approach for classification of remote sensing images.
Proceedings of the FUZZ-IEEE 2012, 2012

Genetic fuzzy rule-based classification systems for tissue characterization of intravascular ultrasound images.
Proceedings of the FUZZ-IEEE 2012, 2012

IVUS-based characterization of atherosclerotic plaques using feature selection and SVM classification.
Proceedings of the 12th IEEE International Conference on Bioinformatics & Bioengineering, 2012

2011
A multistage genetic fuzzy classifier for land cover classification from satellite imagery.
Soft Comput., 2011

A Fast Iterative Rule-based Linguistic Classifier for hyperspectral remote sensing tasks.
Proceedings of the 5th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2011

A hierarchical genetic fuzzy rule-based classifier for high-dimensional classification problems.
Proceedings of the FUZZ-IEEE 2011, 2011

2010
SVM-FuzCoC: A novel SVM-based feature selection method using a fuzzy complementary criterion.
Pattern Recognit., 2010

Employing effective feature selection in Genetic Fuzzy Rule-Based Classification Systems.
Proceedings of the 4th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2010

Enhancing the interpretability of genetic fuzzy classifiers in land cover classification from hyperspectral satellite imagery.
Proceedings of the FUZZ-IEEE 2010, 2010

A Fuzzy Complementary Criterion for structure learning of a neuro-fuzzy classifier.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
A genetic fuzzy rule-based classifier for land cover image classification.
Proceedings of the FUZZ-IEEE 2009, 2009

2008
Subject Recognition Based on Ground Reaction Force Measurements of Gait Signals.
IEEE Trans. Syst. Man Cybern. Part B, 2008

Decision Fusion of GA Self-Organizing Neuro-Fuzzy Multilayered Classifiers for Land Cover Classification Using Textural and Spectral Features.
IEEE Trans. Geosci. Remote. Sens., 2008

A multilayered neuro-fuzzy classifier with self-organizing properties.
Fuzzy Sets Syst., 2008

A pipelined recurrent fuzzy model for real-time analysis of lung sounds.
Eng. Appl. Artif. Intell., 2008

An adaptive neuro-fuzzy tracking control for multi-input nonlinear dynamic systems.
Autom., 2008

Evolutionary identification of a recurrent fuzzy neural network with enhanced memory capabilities.
Proceedings of the 3rd International Workshop on Genetic and Evolving Systems, 2008

2007
Pipelined Recurrent Fuzzy Neural Networks for Nonlinear Adaptive Speech Prediction.
IEEE Trans. Syst. Man Cybern. Part B, 2007

Locally recurrent neural networks for wind speed prediction using spatial correlation.
Inf. Sci., 2007

A locally recurrent fuzzy neural network with application to the wind speed prediction using spatial correlation.
Neurocomputing, 2007

A dynamic fuzzy neural filter for separation of discontinuous adventitious sounds from vesicular sounds.
Comput. Biol. Medicine, 2007

A recurrent fuzzy neural network for adaptive speech prediction.
Proceedings of the IEEE International Conference on Systems, 2007

A Pipelined Recurrent Fuzzy Neural Filter for the Separation of Lung Sounds.
Proceedings of the FUZZ-IEEE 2007, 2007

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

A genetic method for designing TSK models based on objective weighting: application to classification problems.
Soft Comput., 2006

Locally recurrent neural networks for long-term wind speed and power prediction.
Neurocomputing, 2006

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

Application of Fuzzy Lattice Neurocomputing (FLN) for Environmental Data Estimation.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005
A Genetic Based Approach to the Type I Structure Identification Problem.
Informatica, 2005

2004
A modified PNN algorithm with optimal PD modeling using the orthogonal least squares method.
Inf. Sci., 2004

2003
A load curve based fuzzy modeling technique for short-term load forecasting.
Fuzzy Sets Syst., 2003

An orthogonal least-squares method for recurrent fuzzy-neural modeling.
Fuzzy Sets Syst., 2003

2002
A recurrent fuzzy-neural model for dynamic system identification.
IEEE Trans. Syst. Man Cybern. Part B, 2002

A GA-based fuzzy modeling approach for generating TSK models.
Fuzzy Sets Syst., 2002

2001
Microgenetic algorithms as generalized hill-climbing operators for GA optimization.
IEEE Trans. Evol. Comput., 2001

A constrained orthogonal least-squares method for generating TSK fuzzy models: Application to short-term load forecasting.
Fuzzy Sets Syst., 2001

D-OLS: An Orthogonal Least Squares Method for Dynamic Fuzzy Models.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

2000
An orthogonal least squares-based fuzzy filter for real-time analysis of lung sounds.
IEEE Trans. Biomed. Eng., 2000

FUNCOM: A constrained learning algorithm for fuzzy neural networks.
Fuzzy Sets Syst., 2000

A generalized TSK dynamic fuzzy neural network: application to adaptive noise cancellation.
Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000

1999
On the stability of T-S fuzzy control for non-linear systems.
Proceedings of the EUSFLAT-ESTYLF Joint Conference, 1999

Fuzzy short-term load forecasting models based on load curve-shaped prototype fuzzy clustering.
Proceedings of the 5th European Control Conference, 1999

1997
Identification of Discrete-Time Dynamical Systems Via Recurrent Fuzzy Models.
J. Intell. Fuzzy Syst., 1997

1996
Adaptive Fuzzy Neural Networks as identifiers of discrete-time nonlinear dynamic systems.
J. Intell. Robotic Syst., 1996

Recursive learning algorithms for training fuzzy recurrent models.
Int. J. Intell. Syst., 1996

An efficient fuzzy neural modeling approach using the fuzzy curve concept.
Proceedings of Third International Conference on Electronics, Circuits, and Systems, 1996

1995
Detecting aneurysms in retinal images: fuzzy morphology vs. conventional methods.
Proceedings of the 1995 ACM symposium on applied computing, 1995

1984
Comparison of three nonlinear filtering schemes.
Inf. Sci., 1984


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