George E. Tsekouras

发表

Image Recoloring of Art Paintings for the Color Blind Guided by Semantic Segmentation

Stamatis Chatzistamatis, Anastasios Rigos, George E. Tsekouras, 2020, EANN.

A novel training algorithm for RBF neural network using a hybrid fuzzy clustering approach

George E. Tsekouras, Antonios D. Niros, G. Tsekouras, 2012, Fuzzy Sets Syst..

Optimizing voting classification using cluster analysis on medical diagnosis data

George C. Anastassopoulos, George E. Tsekouras, Christos-Nikolaos Anagnostopoulos, 2015, EANN '15.

Increasing interactivity in IPTV using MPEG-21 descriptors

Damianos Gavalas, George E. Tsekouras, Daphne Economou, 2007, AIAI.

A Fuzzy Clustering Algorithm to Estimate the Parameters of Radial Basis Functions Neural Networks and Its Application to System Modeling

George E. Tsekouras, Antonios D. Niros, 2008, SETN.

Fuzzy vector quantization for image compression based on competitive agglomeration and a novel codeword migration strategy

George E. Tsekouras, John Tsimikas, Dimitrios Tsolakis, 2012, Eng. Appl. Artif. Intell..

Cluster Analysis for the Statistical Modeling of Aesthetic Judgment Data Related to Comics Artists

George E. Tsekouras, Evi Sampanikou, 2005, IEC.

A simple and effective algorithm for implementing particle swarm optimization in RBF network's design using input-output fuzzy clustering

George E. Tsekouras, 2013, Neurocomputing.

Bagging Model Trees for Classification Problems

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, George E. Tsekouras, 2005, Panhellenic Conference on Informatics.

Hierarchical Fuzzy Clustering in Conjunction with Particle Swarm Optimization to Efficiently Design RBF Neural Networks

Dimosthenis Kyriazis, George E. Tsekouras, Antonios D. Niros, 2014, Journal of Intelligent & Robotic Systems.

Modeling the Cross-Cultural Adaptation Process of Immigrants Using Categorical Data Clustering

George E. Tsekouras, 2005 .

Accessible interactive television using the MPEG-21 standard

Damianos Gavalas, Evangelos Vlachogiannis, George E. Tsekouras, 2010, Universal Access in the Information Society.

Modeling Data Center Temperature Profile in Terms of a First Order Polynomial RBF Network Trained by Particle Swarm Optimization

George E. Tsekouras, Christos Kalloniatis, Dias Haralambopoulos, 2018, ICANN.

Modeling the Cross-Cultural Adaptation Process of Immigrants Using Categorical Data Clustering

George E. Tsekouras, 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).

Fuzzy Clustering of Categorical Attributes and its Use in Analyzing Cultural Data

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, George E. Tsekouras, 2007, International Conference on Computational Intelligence.

Towards iTV accessibility: the MPEG-21 case

Damianos Gavalas, Evangelos Vlachogiannis, Christos Anagnostopoulos, 2008, PETRA '08.

A Fuzzy-Soft Competitive Learning Approach for Grayscale Image Compression

George E. Tsekouras, Dimitrios Tsolakis, 2016 .

Intelligent content personalisation in internet TV using MPEG-21

Damianos Gavalas, Evangelos Vlachogiannis, George E. Tsekouras, 2008, Int. J. Internet Protoc. Technol..

A Hermite neural network incorporating artificial bee colony optimization to model shoreline realignment at a reef-fronted beach

Nikolaos Mitianoudis, George E. Tsekouras, Anastasios Rigos, 2017, Neurocomputing.

A Clustering Framework to Build Focused Web Crawlers for Automatic Extraction of Cultural Information

Damianos Gavalas, George E. Tsekouras, Antonios D. Niros, 2008, SETN.

Personalized and content adaptive cultural heritage path recommendation: an application to the Gournia and Çatalhöyük archaeological sites

George Caridakis, George E. Tsekouras, Georgios Alexandridis, 2019, User Modeling and User-Adapted Interaction.

A mobile agent platform for distributed network and systems management

Damianos Gavalas, Christos Anagnostopoulos, George E. Tsekouras, 2009, Journal of Systems and Software.

Shoreline Extraction from Coastal Images Using Chebyshev Polynomials and RBF Neural Networks

George E. Tsekouras, Anastasios Rigos, Andreas Manousakis-Kokorakis, 2014, AIAI.

Interpretability Constraints for Fuzzy Modeling Implemented by Constrained Particle Swarm Optimization

Stefanos Gritzalis, George E. Tsekouras, Christos Kalloniatis, 2018, IEEE Transactions on Fuzzy Systems.

On the systematic development of fast fuzzy vector quantization for grayscale image compression

George E. Tsekouras, Antonios D. Niros, Anastasios Rigos, 2012, Neural Networks.

An Effective fuzzy Clustering Algorithm for Web Document Classification: a Case Study in Cultural Content Mining

Damianos Gavalas, George E. Tsekouras, G. Tsekouras, 2013, Int. J. Softw. Eng. Knowl. Eng..

Classification of Web Documents using Fuzzy Logic Categorical Data Clustering

Damianos Gavalas, Christos Anagnostopoulos, George E. Tsekouras, 2007, AIAI.

A Neural-Fuzzy Network Based on Hermite Polynomials to Predict the Coastal Erosion

George E. Tsekouras, Anastasios Rigos, Antonios Chatzipavlis, 2015, EANN.

Adaptive and personalized multimedia content delivery for disabled users in Internet TV

Damianos Gavalas, Evangelos Vlachogiannis, Ioannis Anagnostopoulos, 2009, Signal Image Video Process..

Intelligent Modification of Colors in Digitized Paintings for Enhancing the Visual Perception of Color-blind Viewers

Vassilis Athitsos, Paul Doliotis, George E. Tsekouras, 2009, AIAI.

A Radial Basis Function Neural Network Training Mechanism for Pattern Classification Tasks

George E. Tsekouras, Antonios D. Niros, G. Tsekouras, 2016 .

Improving the effect of fuzzy clustering on RBF network's performance in terms of particle swarm optimization

George E. Tsekouras, Kostas Kalabokidis, Christos Vasilakos, 2015, Adv. Eng. Softw..

Color adaptation for protanopia using differential evolution-based fuzzy clustering: A case study in digitized paintings

Dimitrios Makris, Stamatis Chatzistamatis, George E. Tsekouras, 2018, 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Local Bagging of Decision Stumps

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, George E. Tsekouras, 2005, IEA/AIE.

Cultural applications for mobile devices: Issues and requirements for authoring tools and development platforms

Damianos Gavalas, George E. Tsekouras, Daphne Economou, 2008, MOCO.

Modeling beach realignment using a neuro-fuzzy network optimized by a novel backtracking search algorithm

George E. Tsekouras, Anastasios Rigos, John Tsimikas, 2018, Neural Computing and Applications.

A Chebyshev polynomial feedforward neural network trained by differential evolution and its application in environmental case studies

George E. Tsekouras, Christos Kalloniatis, Dias Haralambopoulos, 2020, Environ. Model. Softw..

Improved batch fuzzy learning vector quantization for image compression

Damianos Gavalas, Christos Anagnostopoulos, George E. Tsekouras, 2008, Inf. Sci..

A methodology to carry out voting classification tasks using a particle swarm optimization-based neuro-fuzzy competitive learning network

George C. Anastassopoulos, George E. Tsekouras, Christos Kalloniatis, 2016, Evolving Systems.

Neuro-Fuzzy Network for Modeling the Shoreline Realignment of the Kamari Beach, Santorini, Greece

George E. Tsekouras, Anastasios Rigos, Dimitrios Tsolakis, 2017, EANN.

A fuzzy vector quantization approach to image compression

George E. Tsekouras, G. Tsekouras, 2005, Appl. Math. Comput..

A hierarchical fuzzy-clustering approach to fuzzy modeling

Haralambos Sarimveis, George V. Bafas, George E. Tsekouras, 2005, Fuzzy Sets Syst..

On the use of the weighted fuzzy c-means in fuzzy modeling

George E. Tsekouras, G. Tsekouras, 2005, Adv. Eng. Softw..

A fuzzy logic approach for the classification of product qualitative characteristics

Haralambos Sarimveis, George E. Tsekouras, George Bafas, 2002 .

Modeling Beach Rotation Using a Novel Legendre Polynomial Feedforward Neural Network Trained by Nonlinear Constrained Optimization

George E. Tsekouras, Anastasios Rigos, Antonios Chatzipavlis, 2016, AIAI.

A novel approach for automated shoreline extraction from remote sensing images using low level programming

Anastasios Rigos, George E. Tsekouras, Aristidis Vaiopoulos, 2015 .

Bagging Random Trees for Estimation of Tissue Softness

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, George E. Tsekouras, 2005, MLDM.

A two-stage evolutionary algorithm for variable selection in the development of RBF neural network models

Panagiotis Patrinos, Haralambos Sarimveis, Alex Alexandridis, 2005 .

A Hierarchical Fuzzy Clustering Framework for Training RBF Networks

George E. Tsekouras, Antonios D. Niros, Dimitrios Tsolakis, 2011 .

Towards implementing an AI chatbot platform for museums

George E. Tsekouras, Dimitris Spiliotopoulos, Savvas Varitimiadis, 2020 .

Modeling the Organoleptic Properties of Matured Wine Distillates

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, George E. Tsekouras, 2005, MLDM.

Neural-Network Time-Series Analysis of MODIS EVI for Post-Fire Vegetation Regrowth

George E. Tsekouras, Kostas Kalabokidis, Palaiologos Palaiologou, 2018, ISPRS Int. J. Geo Inf..

Analysis of Cross-Cultural Data using Hierarchical Fuzzy Logic Clustering

George E. Tsekouras, Christos Kalloniatis, Dimitris Papageorgiou, 2005, Artificial Intelligence and Applications.

Fuzzy rule base simplification using multidimensional scaling and constrained optimization

George E. Tsekouras, G. Tsekouras, 2016, Fuzzy Sets Syst..

A Fuzzy Logic-Based Approach for Detecting Shifting Patterns in Cross-Cultural Data

Sotiris B. Kotsiantis, Panayiotis E. Pintelas, George E. Tsekouras, 2005, IEA/AIE.

Fast fuzzy vector quantization

George E. Tsekouras, Antonios D. Niros, Dimitrios Dartzentas, 2010, International Conference on Fuzzy Systems.

A Fast and Efficient Algorithm for Training Radial Basis Function Neural Networks Based on a Fuzzy Partition of the Input Space

Haralambos Sarimveis, Alex Alexandridis, George E. Tsekouras, 2002 .

Developing learning networks

John Bessant, George E. Tsekouras, J. Bessant, 2005, AI & SOCIETY.

Fuzzy Modeling via Optimal Fuzzy Clustering

George E. Tsekouras, Christos Kalloniatis, Thomas Mavrofides, 2004 .

A Novel Approach to Image Recoloring for Color Vision Deficiency

Konstantinos Kotis, George Caridakis, Stamatis Chatzistamatis, 2021, Sensors.

A Legendre Polynomial Neural Network and its Application in Predicting Data Center Temperature

Stamatis Chatzistamatis, George E. Tsekouras, John V. Tsimikas, 2021, 2021 International Conference on Software, Telecommunications and Computer Networks (SoftCOM).

A Method for Fuzzy System Identification Based on Clustering Analysis

Haralambos Sarimveis, George E. Tsekouras, George Bafas, 2002 .

A simple algorithm for training fuzzy systems using input-output data

Haralambos Sarimveis, George E. Tsekouras, George Bafas, 2003 .

On training radial basis function neural networks using optimal fuzzy clustering

George E. Tsekouras, Antonios D. Niros, G. Tsekouras, 2009, 2009 17th Mediterranean Conference on Control and Automation.

A hierarchical fuzzy-clustering approach to fuzzy modeling

George E. Tsekouras, G. Tsekouras, H. Sarimveis, 2004, Fuzzy Sets Syst..

Fuzzy Clustering-Based Vector Quantization for Image Compression

George E. Tsekouras, Dimitrios Tsolakis, G. Tsekouras, 2013 .