John B. Theocharis

76 papers B 20C 1Journal 46Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	QuAVA: A privacy-aware architecture for conversational desktop Content Retrieval systems. Comput. Speech Lang. Nikolaos Malamas, Andreas L. Symeonidis, John B. Theocharis
2025	J	`jnl`	A Dynamic Hypergraph-Based Encoder-Decoder Risk Model for Longitudinal Predictions of Knee Osteoarthritis Progression. Mach. Learn. Knowl. Extr. John B. Theocharis, Christos G. Chadoulos, Andreas L. Symeonidis
2025	J	`jnl`	A Novel Approach Based on Hypergraph Convolutional Neural Networks for Cartilage Shape Description and Longitudinal Prediction of Knee Osteoarthritis Progression. Mach. Learn. Knowl. Extr. John B. Theocharis, Christos G. Chadoulos, Andreas L. Symeonidis
2025	J	`jnl`	Knee-cartilage segmentation from MR images using Multi-view Hypergraph Convolutional Neural Networks. Appl. Intell. Christos G. Chadoulos, John B. Theocharis, Andreas L. Symeonidis, Serafeim P. Moustakidis
2024	J	`jnl`	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. Christos G. Chadoulos, Dimitrios Tsaopoulos, Serafeim P. Moustakidis, John B. Theocharis
2024	B	`conf`	Enhanced Soil Property Estimations from Earth Observation Data with Differential Evolution-Based Multi-Objective TSK Model. CEC Nikolaos L. Tsakiridis, Nikiforos Samarinas, Eleni Kalopesa, John B. Theocharis, George C. Zalidis
2022	J	`jnl`	A novel multi-atlas segmentation approach under the semi-supervised learning framework: Application to knee cartilage segmentation. Comput. Methods Programs Biomed. Christos G. Chadoulos, Dimitrios Tsaopoulos, Serafeim P. Moustakidis, Nikolaos L. Tsakiridis, John B. Theocharis
2021	—	`conf`	Multi-atlas segmentation of knee cartilage via Semi-supervised Regional Label Propagation. CSAI Christos G. Chadoulos, Serafeim P. Moustakidis, Dimitrios Tsaopoulos, John B. Theocharis
2020	J	`jnl`	A three-level Multiple-Kernel Learning approach for soil spectral analysis. Neurocomputing Nikolaos L. Tsakiridis, Christos G. Chadoulos, John B. Theocharis, Eyal Ben-Dor, George C. Zalidis
2020	J	`jnl`	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. Nikolaos Tziolas, Nikolaos L. Tsakiridis, Eyal Ben-Dor, John B. Theocharis, George C. Zalidis
2020	—	`conf`	Versatile Internet of Things for Agriculture: An eXplainable AI Approach. AIAI (2) Nikolaos L. Tsakiridis, Themistoklis Diamantopoulos, Andreas L. Symeonidis, John B. Theocharis, Athanasios C. Iossifides, Periklis Chatzimisios, George Pratos, Dimitris Kouvas
2019	J	`jnl`	An evolutionary fuzzy rule-based system applied to the prediction of soil organic carbon from soil spectral libraries. Appl. Soft Comput. Nikolaos L. Tsakiridis, John B. Theocharis, Panos Panagos, George C. Zalidis
2018	B	`conf`	An evolutionary fuzzy rule-based system applied to real-world Big Data - the GEO-CRADLE and LUCAS soil spectral libraries. FUZZ-IEEE Nikolaos L. Tsakiridis, John B. Theocharis, George C. Zalidis
2017	B	`conf`	A fuzzy rule-based system utilizing differential evolution with an application in vis-NIR soil spectroscopy. FUZZ-IEEE Nikolaos L. Tsakiridis, John B. Theocharis, George C. Zalidis
2017	J	`jnl`	DECO Expert Syst. Appl. Nikolaos L. Tsakiridis, John B. Theocharis, George C. Zalidis
2016	J	`jnl`	A Local Search-Based GeneSIS algorithm for the Segmentation and Classification of Remote-Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Stelios K. Mylonas, Dimitris G. Stavrakoudis, John B. Theocharis, George C. Zalidis, Ioannis Z. Gitas
2016	J	`jnl`	DECO Knowl. Based Syst. Nikolaos L. Tsakiridis, John B. Theocharis, George C. Zalidis
2016	B	`conf`	Extensions of the DECO3R algorithm for generating compact and cooperating Fuzzy Rule-based Classification Systems. FUZZ-IEEE Nikolaos L. Tsakiridis, John B. Theocharis, Raúl Pérez, Antonio González, George C. Zalidis
2015	—	`conf`	A Fuzzy Rule-Based Feature Construction Approach Applied to Remotely Sensed Imagery. IFSA-EUSFLAT David García, Dimitris G. Stavrakoudis, Antonio González Muñoz, Raúl Pérez, John B. Theocharis
2015	J	`jnl`	A Region-Based GeneSIS Segmentation Algorithm for the Classification of Remotely Sensed Images. Remote. Sens. Stelios K. Mylonas, Dimitris G. Stavrakoudis, John B. Theocharis, Paris A. Mastorocostas
2015	J	`jnl`	Classification of Remotely Sensed Images Using the GeneSIS Fuzzy Segmentation Algorithm. IEEE Trans. Geosci. Remote. Sens. Stelios K. Mylonas, Dimitris G. Stavrakoudis, John B. Theocharis, Paris A. Mastorocostas
2015	B	`conf`	DECO3R: Differential evolution based COoperative-COmpeting learning of COmpact fuzzy Rulebased classification systems. FUZZ-IEEE Nikolaos L. Tsakiridis, John B. Theocharis, George C. Zalidis
2015	J	`jnl`	Genetic fuzzy rule based classification systems for coronary plaque characterization based on intravascular ultrasound images. Eng. Appl. Artif. Intell. Vasilis G. Giannoglou, Dimitris G. Stavrakoudis, John B. Theocharis, Vassilios Petridis
2014	J	`jnl`	Burned Area Mapping Using Support Vector Machines and the FuzCoC Feature Selection Method on VHR IKONOS Imagery. Remote. Sens. Eleni Dragozi, Ioannis Z. Gitas, Dimitris G. Stavrakoudis, John B. Theocharis
2014	J	`jnl`	Decision Fusion of Multiple Classifiers for Coronary Plaque Characterization from IVUS Images. Int. J. Artif. Intell. Tools Vasilis G. Giannoglou, John B. Theocharis
2014	B	`conf`	Spectral-spatial classification of remote sensing images using a region-based GeneSIS Segmentation algorithm. FUZZ-IEEE Stelios K. Mylonas, Dimitris G. Stavrakoudis, John B. Theocharis, Paris A. Mastorocostas
2013	J	`jnl`	GeneSIS: A GA-based fuzzy segmentation algorithm for remote sensing images. Knowl. Based Syst. Stelios K. Mylonas, Dimitris G. Stavrakoudis, John B. Theocharis
2012	B	`conf`	A GA-based sequential fuzzy segmentation approach for classification of remote sensing images. FUZZ-IEEE Stelios K. Mylonas, Dimitris G. Stavrakoudis, John B. Theocharis
2012	J	`jnl`	A Genetic Fuzzy-Rule-Based Classifier for Land Cover Classification From Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. Dimitris G. Stavrakoudis, Georgia N. Galidaki, Ioannis Z. Gitas, John B. Theocharis
2012	J	`jnl`	A diversity-driven structure learning algorithm for building hierarchical neuro-fuzzy classifiers. Inf. Sci. Nikolaos E. Mitrakis, John B. Theocharis
2012	J	`jnl`	A fast SVM-based wrapper feature selection method driven by a fuzzy complementary criterion. Pattern Anal. Appl. Serafeim P. Moustakidis, John B. Theocharis
2012	J	`jnl`	Clustering-based initialization of Learning Classifier Systems - Effects on model performance, readability and induction time. Soft Comput. Fani A. Tzima, Pericles A. Mitkas, John B. Theocharis
2012	B	`conf`	Genetic fuzzy rule-based classification systems for tissue characterization of intravascular ultrasound images. FUZZ-IEEE Vasilis G. Giannoglou, Dimitris G. Stavrakoudis, John B. Theocharis, Vassilios Petridis
2012	C	`conf`	IVUS-based characterization of atherosclerotic plaques using feature selection and SVM classification. BIBE Vasilis G. Giannoglou, Dimitris G. Stavrakoudis, John B. Theocharis
2012	J	`jnl`	Reducing the Complexity of Genetic Fuzzy Classifiers in Highly-Dimensional Classification Problems. Int. J. Comput. Intell. Syst. Dimitris G. Stavrakoudis, Georgia N. Galidaki, Ioannis Z. Gitas, John B. Theocharis
2012	J	`jnl`	SVM-Based Fuzzy Decision Trees for Classification of High Spatial Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. Serafeim P. Moustakidis, Giorgos Mallinis, Nikos Koutsias, John B. Theocharis, Vassilios Petridis
2011	—	`conf`	A Fast Iterative Rule-based Linguistic Classifier for hyperspectral remote sensing tasks. GEFS Dimitris G. Stavrakoudis, Georgia N. Galidaki, Ioannis Z. Gitas, John B. Theocharis
2011	B	`conf`	A hierarchical genetic fuzzy rule-based classifier for high-dimensional classification problems. FUZZ-IEEE Dimitris G. Stavrakoudis, Ioannis Z. Gitas, John B. Theocharis
2011	J	`jnl`	A multistage genetic fuzzy classifier for land cover classification from satellite imagery. Soft Comput. Dimitris G. Stavrakoudis, John B. Theocharis, George C. Zalidis
2010	B	`conf`	A Fuzzy Complementary Criterion for structure learning of a neuro-fuzzy classifier. FUZZ-IEEE Nikolaos E. Mitrakis, Serafeim P. Moustakidis, John B. Theocharis
2010	—	`conf`	Employing effective feature selection in Genetic Fuzzy Rule-Based Classification Systems. GEFS Dimitris G. Stavrakoudis, John B. Theocharis
2010	B	`conf`	Enhancing the interpretability of genetic fuzzy classifiers in land cover classification from hyperspectral satellite imagery. FUZZ-IEEE Dimitris G. Stavrakoudis, Georgia N. Galidaki, Ioannis Z. Gitas, John B. Theocharis
2010	J	`jnl`	SVM-FuzCoC: A novel SVM-based feature selection method using a fuzzy complementary criterion. Pattern Recognit. Serafeim P. Moustakidis, John B. Theocharis
2009	B	`conf`	A genetic fuzzy rule-based classifier for land cover image classification. FUZZ-IEEE Dimitris G. Stavrakoudis, John B. Theocharis
2008	J	`jnl`	A multilayered neuro-fuzzy classifier with self-organizing properties. Fuzzy Sets Syst. Nikolaos E. Mitrakis, John B. Theocharis, Vassilios Petridis
2008	J	`jnl`	A pipelined recurrent fuzzy model for real-time analysis of lung sounds. Eng. Appl. Artif. Intell. Paris A. Mastorocostas, Dimitris G. Stavrakoudis, John B. Theocharis
2008	J	`jnl`	An adaptive neuro-fuzzy tracking control for multi-input nonlinear dynamic systems. Autom. Serafeim P. Moustakidis, George A. Rovithakis, John B. Theocharis
2008	J	`jnl`	Decision Fusion of GA Self-Organizing Neuro-Fuzzy Multilayered Classifiers for Land Cover Classification Using Textural and Spectral Features. IEEE Trans. Geosci. Remote. Sens. Nikolaos E. Mitrakis, Charalampos A. Topaloglou, Thomas K. Alexandridis, John B. Theocharis, George C. Zalidis
2008	—	`conf`	Evolutionary identification of a recurrent fuzzy neural network with enhanced memory capabilities. GEFS Dimitris G. Stavrakoudis, A. K. Papastamoulis, John B. Theocharis
2008	J	`jnl`	Subject Recognition Based on Ground Reaction Force Measurements of Gait Signals. IEEE Trans. Syst. Man Cybern. Part B Serafeim P. Moustakidis, John B. Theocharis, Giannis Giakas
2007	B	`conf`	A Pipelined Recurrent Fuzzy Neural Filter for the Separation of Lung Sounds. FUZZ-IEEE Dimitris G. Stavrakoudis, Paris A. Mastorocostas, John B. Theocharis
2007	J	`jnl`	A dynamic fuzzy neural filter for separation of discontinuous adventitious sounds from vesicular sounds. Comput. Biol. Medicine Paris A. Mastorocostas, John B. Theocharis
2007	J	`jnl`	A locally recurrent fuzzy neural network with application to the wind speed prediction using spatial correlation. Neurocomputing Thanasis G. Barbounis, John B. Theocharis
2007	B	`conf`	A recurrent fuzzy neural network for adaptive speech prediction. SMC Dimitris G. Stavrakoudis, John B. Theocharis
2007	J	`jnl`	Locally recurrent neural networks for wind speed prediction using spatial correlation. Inf. Sci. Thanasis G. Barbounis, John B. Theocharis
2007	J	`jnl`	Pipelined Recurrent Fuzzy Neural Networks for Nonlinear Adaptive Speech Prediction. IEEE Trans. Syst. Man Cybern. Part B Dimitris G. Stavrakoudis, John B. Theocharis
2006	J	`jnl`	A genetic method for designing TSK models based on objective weighting: application to classification problems. Soft Comput. Stelios E. Papadakis, John B. Theocharis
2006	J	`jnl`	A high-order recurrent neuro-fuzzy system with internal dynamics: Application to the adaptive noise cancellation. Fuzzy Sets Syst. John B. Theocharis
2006	B	`conf`	Application of Fuzzy Lattice Neurocomputing (FLN) for Environmental Data Estimation. FUZZ-IEEE Vassilios Petridis, John B. Theocharis, Vassilis Syrris
2006	J	`jnl`	Locally recurrent neural networks for long-term wind speed and power prediction. Neurocomputing Thanasis G. Barbounis, John B. Theocharis
2005	J	`jnl`	A Genetic Based Approach to the Type I Structure Identification Problem. Informatica Stelios E. Papadakis, Panagiotis Tzionas, Vassilis G. Kaburlasos, John B. Theocharis
2005	B	`conf`	A recurrent fuzzy-neural filter for real-time separation of lung sounds. IJCNN Paris A. Mastorocostas, John B. Theocharis
2005	B	`conf`	Locally recurrent neural networks optimal filtering algorithms: application to wind speed prediction using spatial correlation. IJCNN Thanasis G. Barbounis, John B. Theocharis
2004	J	`jnl`	A modified PNN algorithm with optimal PD modeling using the orthogonal least squares method. Inf. Sci. E. Delivopoulos, John B. Theocharis
2004	B	`conf`	On stable learning of block-diagonal recurrent neural networks, Part 1: the RENNCOM algorithm. IJCNN Paris A. Mastorocostas, John B. Theocharis
2004	B	`conf`	On stable learning of block-diagonal recurrent neural networks, part 2: application to the analysis of lung sounds. IJCNN Paris A. Mastorocostas, John B. Theocharis
2000	B	`conf`	A generalized TSK dynamic fuzzy neural network: application to adaptive noise cancellation. FUZZ-IEEE Paris A. Mastorocostas, John B. Theocharis
2000	J	`jnl`	An orthogonal least squares-based fuzzy filter for real-time analysis of lung sounds. IEEE Trans. Biomed. Eng. Paris A. Mastorocostas, Yannis A. Tolias, John B. Theocharis, Leontios J. Hadjileontiadis, Stavros M. Panas
2000	J	`jnl`	FUNCOM: A constrained learning algorithm for fuzzy neural networks. Fuzzy Sets Syst. Paris A. Mastorocostas, John B. Theocharis
1999	—	`conf`	Fuzzy short-term load forecasting models based on load curve-shaped prototype fuzzy clustering. ECC Stelios E. Papadakis, John B. Theocharis, Anastasios G. Bakirtzis
1999	—	`conf`	On the stability of T-S fuzzy control for non-linear systems. EUSFLAT-ESTYLF Joint Conf. Zoe Doulgeri, John B. Theocharis
1997	J	`jnl`	Identification of Discrete-Time Dynamical Systems Via Recurrent Fuzzy Models. J. Intell. Fuzzy Syst. John B. Theocharis, George J. Vachtsevanos
1996	J	`jnl`	Adaptive Fuzzy Neural Networks as identifiers of discrete-time nonlinear dynamic systems. J. Intell. Robotic Syst. John B. Theocharis, George J. Vachtsevanos
1996	—	`conf`	An efficient fuzzy neural modeling approach using the fuzzy curve concept. ICECS Stelios E. Papadakis, John B. Theocharis
1996	J	`jnl`	Recursive learning algorithms for training fuzzy recurrent models. Int. J. Intell. Syst. John B. Theocharis, George J. Vachtsevanos
1984	J	`jnl`	Comparison of three nonlinear filtering schemes. Inf. Sci. John B. Theocharis, Vassilios Petridis