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John B. Theocharis
Ioannis B. Theocharis
Person information
- affiliation: Aristotle University of Thessaloniki, Department of Electrical and Computer Engineering, Greece
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2020 – today
- 2024
- [j49]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) - [c28]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: 1-8 - 2022
- [j48]Christos G. Chadoulos
, Dimitrios Tsaopoulos
A novel multi-atlas segmentation approach under the semi-supervised learning framework: Application to knee cartilage segmentation. Comput. Methods Programs Biomed. 227: 107208 (2022) - 2021
- [c27]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: 57-64 - 2020
- [j47]Nikolaos L. Tsakiridis
A three-level Multiple-Kernel Learning approach for soil spectral analysis. Neurocomputing 389: 27-41 (2020) - [j46]Nikolaos Tziolas
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): 1389 (2020) - [c26]Nikolaos L. Tsakiridis, Themistoklis Diamantopoulos, Andreas L. Symeonidis, John B. Theocharis, Athanasios C. Iossifides
Versatile Internet of Things for Agriculture: An eXplainable AI Approach. AIAI (2) 2020: 180-191
2010 – 2019
- 2019
- [j45]Nikolaos L. Tsakiridis
An evolutionary fuzzy rule-based system applied to the prediction of soil organic carbon from soil spectral libraries. Appl. Soft Comput. 81 (2019) - 2018
- [c25]Nikolaos L. Tsakiridis
An evolutionary fuzzy rule-based system applied to real-world Big Data - the GEO-CRADLE and LUCAS soil spectral libraries. FUZZ-IEEE 2018: 1-8 - 2017
- [j44]Nikolaos L. Tsakiridis
DECO3RUM: A Differential Evolution learning approach for generating compact Mamdani fuzzy rule-based models. Expert Syst. Appl. 83: 257-272 (2017) - [c24]Nikolaos L. Tsakiridis
A fuzzy rule-based system utilizing differential evolution with an application in vis-NIR soil spectroscopy. FUZZ-IEEE 2017: 1-7 - 2016
- [j43]Nikolaos L. Tsakiridis
DECO3R: A Differential Evolution-based algorithm for generating compact Fuzzy Rule-based Classification Systems. Knowl. Based Syst. 105: 160-174 (2016) - [j42]Stelios K. Mylonas
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): 1470-1492 (2016) - [c23]Nikolaos L. Tsakiridis
Extensions of the DECO3R algorithm for generating compact and cooperating Fuzzy Rule-based Classification Systems. FUZZ-IEEE 2016: 1429-1436 - 2015
- [j41]Vasilis G. Giannoglou, Dimitris G. Stavrakoudis
Genetic fuzzy rule based classification systems for coronary plaque characterization based on intravascular ultrasound images. Eng. Appl. Artif. Intell. 38: 203-220 (2015) - [j40]Stelios K. Mylonas
A Region-Based GeneSIS Segmentation Algorithm for the Classification of Remotely Sensed Images. Remote. Sens. 7(3): 2474-2508 (2015) - [j39]Stelios K. Mylonas
Classification of Remotely Sensed Images Using the GeneSIS Fuzzy Segmentation Algorithm. IEEE Trans. Geosci. Remote. Sens. 53(10): 5352-5376 (2015) - [c22]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 - [c21]Nikolaos L. Tsakiridis
DECO3R: Differential evolution based COoperative-COmpeting learning of COmpact fuzzy Rulebased classification systems. FUZZ-IEEE 2015: 1-8 - 2014
- [j38]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) - [j37]Eleni Dragozi, Ioannis Z. Gitas
Burned Area Mapping Using Support Vector Machines and the FuzCoC Feature Selection Method on VHR IKONOS Imagery. Remote. Sens. 6(12): 12005-12036 (2014) - [c20]Stelios K. Mylonas
Spectral-spatial classification of remote sensing images using a region-based GeneSIS Segmentation algorithm. FUZZ-IEEE 2014: 1976-1984 - 2013
- [j36]Stelios K. Mylonas
GeneSIS: A GA-based fuzzy segmentation algorithm for remote sensing images. Knowl. Based Syst. 54: 86-102 (2013) - 2012
- [j35]Dimitris G. Stavrakoudis, Georgia N. Galidaki
Reducing the Complexity of Genetic Fuzzy Classifiers in Highly-Dimensional Classification Problems. Int. J. Comput. Intell. Syst. 5(2): 254-275 (2012) - [j34]Nikolaos E. Mitrakis
A diversity-driven structure learning algorithm for building hierarchical neuro-fuzzy classifiers. Inf. Sci. 186(1): 40-58 (2012) - [j33]Serafeim P. Moustakidis
A fast SVM-based wrapper feature selection method driven by a fuzzy complementary criterion. Pattern Anal. Appl. 15(4): 379-397 (2012) - [j32]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): 1267-1286 (2012) - [j31]Dimitris G. Stavrakoudis
A Genetic Fuzzy-Rule-Based Classifier for Land Cover Classification From Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 50(1): 130-148 (2012) - [j30]Serafeim P. Moustakidis
SVM-Based Fuzzy Decision Trees for Classification of High Spatial Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 50(1): 149-169 (2012) - [c19]Vasilis G. Giannoglou, Dimitris G. Stavrakoudis
IVUS-based characterization of atherosclerotic plaques using feature selection and SVM classification. BIBE 2012: 715-720 - [c18]Vasilis G. Giannoglou, Dimitris G. Stavrakoudis
Genetic fuzzy rule-based classification systems for tissue characterization of intravascular ultrasound images. FUZZ-IEEE 2012: 1-8 - [c17]Stelios K. Mylonas
A GA-based sequential fuzzy segmentation approach for classification of remote sensing images. FUZZ-IEEE 2012: 1-8 - 2011
- [j29]Dimitris G. Stavrakoudis
A multistage genetic fuzzy classifier for land cover classification from satellite imagery. Soft Comput. 15(12): 2355-2374 (2011) - [c16]Dimitris G. Stavrakoudis
A hierarchical genetic fuzzy rule-based classifier for high-dimensional classification problems. FUZZ-IEEE 2011: 1279-1285 - [c15]Dimitris G. Stavrakoudis
A Fast Iterative Rule-based Linguistic Classifier for hyperspectral remote sensing tasks. GEFS 2011: 24-30 - 2010
- [j28]Serafeim P. Moustakidis
SVM-FuzCoC: A novel SVM-based feature selection method using a fuzzy complementary criterion. Pattern Recognit. 43(11): 3712-3729 (2010) - [c14]Nikolaos E. Mitrakis
A Fuzzy Complementary Criterion for structure learning of a neuro-fuzzy classifier. FUZZ-IEEE 2010: 1-8 - [c13]Dimitris G. Stavrakoudis
Enhancing the interpretability of genetic fuzzy classifiers in land cover classification from hyperspectral satellite imagery. FUZZ-IEEE 2010: 1-8 - [c12]Dimitris G. Stavrakoudis
Employing effective feature selection in Genetic Fuzzy Rule-Based Classification Systems. GEFS 2010: 21-26
2000 – 2009
- 2009
- [c11]Dimitris G. Stavrakoudis
A genetic fuzzy rule-based classifier for land cover image classification. FUZZ-IEEE 2009: 1677-1682 - 2008
- [j27]Serafeim P. Moustakidis
An adaptive neuro-fuzzy tracking control for multi-input nonlinear dynamic systems. Autom. 44(5): 1418-1425 (2008) - [j26]Paris A. Mastorocostas, Dimitris G. Stavrakoudis
A pipelined recurrent fuzzy model for real-time analysis of lung sounds. Eng. Appl. Artif. Intell. 21(8): 1301-1308 (2008) - [j25]Nikolaos E. Mitrakis
A multilayered neuro-fuzzy classifier with self-organizing properties. Fuzzy Sets Syst. 159(23): 3132-3159 (2008) - [j24]Nikolaos E. Mitrakis
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): 2137-2152 (2008) - [j23]Serafeim P. Moustakidis
Subject Recognition Based on Ground Reaction Force Measurements of Gait Signals. IEEE Trans. Syst. Man Cybern. Part B 38(6): 1476-1485 (2008) - [c10]Dimitris G. Stavrakoudis
Evolutionary identification of a recurrent fuzzy neural network with enhanced memory capabilities. GEFS 2008: 77-82 - 2007
- [j22]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): 60-69 (2007) - [j21]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): 1525-1542 (2007) - [j20]T. G. Barbounis, John B. Theocharis:
Locally recurrent neural networks for wind speed prediction using spatial correlation. Inf. Sci. 177(24): 5775-5797 (2007) - [j19]Dimitris G. Stavrakoudis
Pipelined Recurrent Fuzzy Neural Networks for Nonlinear Adaptive Speech Prediction. IEEE Trans. Syst. Man Cybern. Part B 37(5): 1305-1320 (2007) - [c9]Dimitris G. Stavrakoudis
A Pipelined Recurrent Fuzzy Neural Filter for the Separation of Lung Sounds. FUZZ-IEEE 2007: 1-6 - [c8]Dimitris G. Stavrakoudis
A recurrent fuzzy neural network for adaptive speech prediction. SMC 2007: 2056-2061 - 2006
- [j18]John B. Theocharis:
A high-order recurrent neuro-fuzzy system with internal dynamics: Application to the adaptive noise cancellation. Fuzzy Sets Syst. 157(4): 471-500 (2006) - [j17]T. G. Barbounis, John B. Theocharis:
Locally recurrent neural networks for long-term wind speed and power prediction. Neurocomputing 69(4-6): 466-496 (2006) - [j16]Stelios E. Papadakis
A genetic method for designing TSK models based on objective weighting: application to classification problems. Soft Comput. 10(9): 805-824 (2006) - [j15]Paris A. Mastorocostas, Ioannis B. Theocharis:
A Stable Learning Algorithm for Block-Diagonal Recurrent Neural Networks: Application to the Analysis of Lung Sounds. IEEE Trans. Syst. Man Cybern. Part B 36(2): 242-254 (2006) - [c7]Vassilios Petridis, John B. Theocharis, Vassilis Syrris:
Application of Fuzzy Lattice Neurocomputing (FLN) for Environmental Data Estimation. FUZZ-IEEE 2006: 337-343 - 2005
- [j14]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): 365-382 (2005) - 2004
- [j13]E. Delivopoulos, John B. Theocharis:
A modified PNN algorithm with optimal PD modeling using the orthogonal least squares method. Inf. Sci. 168(1-4): 133-170 (2004) - 2003
- [j12]Stelios E. Papadakis, Ioannis B. Theocharis, Anastasios G. Bakirtzis:
A load curve based fuzzy modeling technique for short-term load forecasting. Fuzzy Sets Syst. 135(2): 279-303 (2003) - [j11]Paris A. Mastorocostas, Ioannis B. Theocharis:
An orthogonal least-squares method for recurrent fuzzy-neural modeling. Fuzzy Sets Syst. 140(2): 285-300 (2003) - 2002
- [j10]Stelios E. Papadakis, Ioannis B. Theocharis:
A GA-based fuzzy modeling approach for generating TSK models. Fuzzy Sets Syst. 131(2): 121-152 (2002) - [j9]Paris A. Mastorocostas, Ioannis B. Theocharis:
A recurrent fuzzy-neural model for dynamic system identification. IEEE Trans. Syst. Man Cybern. Part B 32(2): 176-190 (2002) - 2001
- [j8]Paris A. Mastorocostas, Ioannis B. Theocharis, Vassilios Petridis:
A constrained orthogonal least-squares method for generating TSK fuzzy models: Application to short-term load forecasting. Fuzzy Sets Syst. 118(2): 215-233 (2001) - [j7]Spiridon A. Kazarlis, Stelios E. Papadakis
Microgenetic algorithms as generalized hill-climbing operators for GA optimization. IEEE Trans. Evol. Comput. 5(3): 204-217 (2001) - [c6]Paris A. Mastorocostas, Ioannis B. Theocharis:
D-OLS: An Orthogonal Least Squares Method for Dynamic Fuzzy Models. FUZZ-IEEE 2001: 119-122 - 2000
- [j6]Paris A. Mastorocostas, John B. Theocharis:
FUNCOM: A constrained learning algorithm for fuzzy neural networks. Fuzzy Sets Syst. 112(1): 1-26 (2000) - [j5]Paris A. Mastorocostas, Yannis A. Tolias, John B. Theocharis, Leontios J. Hadjileontiadis
An orthogonal least squares-based fuzzy filter for real-time analysis of lung sounds. IEEE Trans. Biomed. Eng. 47(9): 1165-1176 (2000) - [c5]Paris A. Mastorocostas, John B. Theocharis:
A generalized TSK dynamic fuzzy neural network: application to adaptive noise cancellation. FUZZ-IEEE 2000: 877-882
1990 – 1999
- 1999
- [c4]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: 2023-2028 - [c3]Zoe Doulgeri, John B. Theocharis:
On the stability of T-S fuzzy control for non-linear systems. EUSFLAT-ESTYLF Joint Conf. 1999: 71-74 - 1997
- [j4]John B. Theocharis, George J. Vachtsevanos:
Identification of Discrete-Time Dynamical Systems Via Recurrent Fuzzy Models. J. Intell. Fuzzy Syst. 5(3): 167-191 (1997) - 1996
- [j3]John B. Theocharis, George J. Vachtsevanos:
Recursive learning algorithms for training fuzzy recurrent models. Int. J. Intell. Syst. 11(12): 1059-1098 (1996) - [j2]John B. Theocharis, George J. Vachtsevanos:
Adaptive Fuzzy Neural Networks as identifiers of discrete-time nonlinear dynamic systems. J. Intell. Robotic Syst. 17(2): 119-168 (1996) - [c2]Stelios E. Papadakis, John B. Theocharis:
An efficient fuzzy neural modeling approach using the fuzzy curve concept. ICECS 1996: 279-282 - 1995
- [c1]Yannis A. Tolias, Ioannis B. Theocharis, Stavros M. Panas:
Detecting aneurysms in retinal images: fuzzy morphology vs. conventional methods. SAC 1995: 565-569
1980 – 1989
- 1984
- [j1]John B. Theocharis, Vassilios Petridis:
Comparison of three nonlinear filtering schemes. Inf. Sci. 32(2): 91-116 (1984)
Coauthor Index
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