Developing learning networks. - John Bessant; George E. Tsekouras (AI Soc., 2001)

Fuzzy Clustering of Categorical Attributes and its Use in Analyzing Cultural Data. - George E. Tsekouras; Dimitris Papageorgiou; Sotiris B. Kotsiantis; Christos Kalloniatis; Panayiotis E. Pintelas (International Conference on Computational Intelligence, 2004)

Analysis of Cross-Cultural Data using Hierarchical Fuzzy Logic Clustering. - George E. Tsekouras; Dimitris Papageorgiou; Christos Kalloniatis (Artificial Intelligence and Applications, 2005)

Modeling the Cross-Cultural Adaptation Process of Immigrants Using Categorical Data Clustering. - George E. Tsekouras (CIMCA/IAWTIC, 2005)

Local Bagging of Decision Stumps. - Sotiris B. Kotsiantis; George E. Tsekouras; Panayiotis E. Pintelas (IEA/AIE, 2005)

A Fuzzy Logic-Based Approach for Detecting Shifting Patterns in Cross-Cultural Data. - George E. Tsekouras; Dimitris Papageorgiou; Sotiris B. Kotsiantis; Christos Kalloniatis; Panayiotis E. Pintelas (IEA/AIE, 2005)

Bagging Random Trees for Estimation of Tissue Softness. - Sotiris B. Kotsiantis; George E. Tsekouras; Panayiotis E. Pintelas (MLDM, 2005)

Modeling the Organoleptic Properties of Matured Wine Distillates. - Sotiris B. Kotsiantis; George E. Tsekouras; C. Raptis; Panayiotis E. Pintelas (MLDM, 2005)

Bagging Model Trees for Classification Problems. - Sotiris B. Kotsiantis; George E. Tsekouras; Panayiotis E. Pintelas (Panhellenic Conference on Informatics, 2005)

Cluster Analysis for the Statistical Modeling of Aesthetic Judgment Data Related to Comics Artists. - George E. Tsekouras; Evi Sampanikou (IEC (Prague), 2005)

On the use of the weighted fuzzy c-means in fuzzy modeling. - George E. Tsekouras (Adv. Eng. Softw., 2005)

A fuzzy vector quantization approach to image compression. - George E. Tsekouras (Appl. Math. Comput., 2005)

A hierarchical fuzzy-clustering approach to fuzzy modeling. - George E. Tsekouras; Haralambos Sarimveis; Evangelia Kavakli; George V. Bafas (Fuzzy Sets Syst., 2005)

Fuzzy Modeling Based on Ordinary Fuzzy Partitions and Nearest Neighbor Clustering. - George E. Tsekouras (J. Intell. Robotic Syst., 2005)

Increasing interactivity in IPTV using MPEG-21 descriptors. - Christos-Nikolaos Anagnostopoulos; George E. Tsekouras; Damianos Gavalas; Daphne Economou; Ioannis Psoroulas (AIAI, 2007)

Classification of Web Documents using Fuzzy Logic Categorical Data Clustering. - George E. Tsekouras; Christos Anagnostopoulos; Damianos Gavalas; Economou Dafhi (AIAI, 2007)

Towards iTV accessibility: the MPEG-21 case. - Evangelos Vlachogiannis; Damianos Gavalas; Christos Anagnostopoulos; George E. Tsekouras (PETRA, 2008)

A Fuzzy Clustering Algorithm to Estimate the Parameters of Radial Basis Functions Neural Networks and Its Application to System Modeling. - Antonios D. Niros; George E. Tsekouras (SETN, 2008)

A Clustering Framework to Build Focused Web Crawlers for Automatic Extraction of Cultural Information. - George E. Tsekouras; Damianos Gavalas; Stefanos Filios; Antonios D. Niros; George Bafaloukas (SETN, 2008)

Intelligent content personalisation in internet TV using MPEG-21. - Christos-Nikolaos Anagnostopoulos; Evangelos Vlachogiannis; Ioannis Psoroulas; Damianos Gavalas; George E. Tsekouras; George Konstantas (Int. J. Internet Protoc. Technol., 2008)

Improved batch fuzzy learning vector quantization for image compression. - George E. Tsekouras; Mamalis Antonios; Christos Anagnostopoulos; Damianos Gavalas; Daphne Economou (Inf. Sci., 2008)

Cultural applications for mobile devices: Issues and requirements for authoring tools and development platforms. - Daphne Economou; Damianos Gavalas; Michael Kenteris; George E. Tsekouras (ACM SIGMOBILE Mob. Comput. Commun. Rev., 2008)

Intelligent Modification of Colors in Digitized Paintings for Enhancing the Visual Perception of Color-blind Viewers. - Paul Doliotis; George E. Tsekouras; Christos-Nikolaos Anagnostopoulos; Vassilis Athitsos (AIAI, 2009)

A mobile agent platform for distributed network and systems management. - Damianos Gavalas; George E. Tsekouras; Christos Anagnostopoulos (J. Syst. Softw., 2009)

Fast fuzzy vector quantization. - George E. Tsekouras; Dimitrios Paris Darzentas; Ioanna Drakoulaki; Antonios D. Niros (FUZZ-IEEE, 2010)

Adaptive and personalized multimedia content delivery for disabled users in Internet TV. - Ioannis Anagnostopoulos; Christos-Nikolaos Anagnostopoulos; Evangelos Vlachogiannis; Damianos Gavalas; George E. Tsekouras (Signal Image Video Process., 2010)

Accessible interactive television using the MPEG-21 standard. - Evangelos Vlachogiannis; Damianos Gavalas; George E. Tsekouras; Christos-Nikolaos Anagnostopoulos (Univers. Access Inf. Soc., 2011)

Fuzzy vector quantization for image compression based on competitive agglomeration and a novel codeword migration strategy. - Dimitrios Tsolakis; George E. Tsekouras; John V. Tsimikas (Eng. Appl. Artif. Intell., 2012)

A novel training algorithm for RBF neural network using a hybrid fuzzy clustering approach. - Antonios D. Niros; George E. Tsekouras (Fuzzy Sets Syst., 2012)

On the systematic development of fast fuzzy vector quantization for grayscale image compression. - Dimitrios Tsolakis; George E. Tsekouras; Antonios D. Niros; Anastasios Rigos (Neural Networks, 2012)

On training RBF neural networks using input-output fuzzy clustering and particle swarm optimization. - George E. Tsekouras; John V. Tsimikas (Fuzzy Sets Syst., 2013)

A simple and effective algorithm for implementing particle swarm optimization in RBF network's design using input-output fuzzy clustering. - George E. Tsekouras (Neurocomputing, 2013)

An Effective fuzzy Clustering Algorithm for Web Document Classification: a Case Study in Cultural Content Mining. - George E. Tsekouras; Damianos Gavalas (Int. J. Softw. Eng. Knowl. Eng., 2013)

Shoreline Extraction from Coastal Images Using Chebyshev Polynomials and RBF Neural Networks. - Anastasios Rigos; Olympos P. Andreadis; Andreas Manousakis; Michalis I. Vousdoukas; George E. Tsekouras; Adonis Velegrakis (AIAI, 2014)

Optimizing voting classification using cluster analysis on medical diagnosis data. - Androniki Tamvakis; Christos-Nikolaos Anagnostopoulos; George E. Tsekouras; George C. Anastassopoulos (EANN Workshops, 2015)

A Neural-Fuzzy Network Based on Hermite Polynomials to Predict the Coastal Erosion. - George E. Tsekouras; Anastasios Rigos; Antonios Chatzipavlis; Adonis Velegrakis (EANN, 2015)

Improving the effect of fuzzy clustering on RBF network's performance in terms of particle swarm optimization. - George E. Tsekouras; Andreas Manousakis; Christos Vasilakos; Kostas Kalabokidis (Adv. Eng. Softw., 2015)

Hierarchical Fuzzy Clustering in Conjunction with Particle Swarm Optimization to Efficiently Design RBF Neural Networks. - Antonios D. Niros; George E. Tsekouras; Dimitrios Tsolakis; Andreas Manousakis-Kokorakis; Dimosthenis Kyriazis (J. Intell. Robotic Syst., 2015)

Modeling Beach Rotation Using a Novel Legendre Polynomial Feedforward Neural Network Trained by Nonlinear Constrained Optimization. - Anastasios Rigos; George E. Tsekouras; Antonios Chatzipavlis; Adonis F. Velegrakis (AIAI, 2016)

Fuzzy rule base simplification using multidimensional scaling and constrained optimization. - George E. Tsekouras (Fuzzy Sets Syst., 2016)

A Chebyshev polynomial radial basis function neural network for automated shoreline extraction from coastal imagery. - Anastasios Rigos; George E. Tsekouras; Michalis I. Vousdoukas; Antonios Chatzipavlis; Adonis F. Velegrakis (Integr. Comput. Aided Eng., 2016)

Neuro-Fuzzy Network for Modeling the Shoreline Realignment of the Kamari Beach, Santorini, Greece. - George E. Tsekouras; Vasilis Trygonis; Anastasios Rigos; Antonios Chatzipavlis; Dimitrios Tsolakis; Adonis F. Velegrakis (EANN, 2017)

A methodology to carry out voting classification tasks using a particle swarm optimization-based neuro-fuzzy competitive learning network. - Androniki Tamvakis; George E. Tsekouras; Anastasios Rigos; Christos Kalloniatis; Christos-Nikolaos Anagnostopoulos; George C. Anastassopoulos (Evol. Syst., 2017)

Color adaptation for protanopia using differential evolution-based fuzzy clustering: A case study in digitized paintings. - George E. Tsekouras; Stamatis Chatzistamatis; Christos-Nikolaos Anagnostopoulos; Dimitrios Makris 001 (EAIS, 2018)

Modeling Data Center Temperature Profile in Terms of a First Order Polynomial RBF Network Trained by Particle Swarm Optimization. - Ioannis A. Troumbis; George E. Tsekouras; Christos Kalloniatis; Panagiotis Papachiou; Dias Haralambopoulos (ICANN (2), 2018)

Neural-Network Time-Series Analysis of MODIS EVI for Post-Fire Vegetation Regrowth. - Christos Vasilakos; George E. Tsekouras; Palaiologos Palaiologou; Kostas Kalabokidis (ISPRS Int. J. Geo Inf., 2018)

A Hermite neural network incorporating artificial bee colony optimization to model shoreline realignment at a reef-fronted beach. - George E. Tsekouras; Vasilis Trygonis; Andreas Maniatopoulos; Anastasios Rigos; Antonios Chatzipavlis; John V. Tsimikas; Nikolaos Mitianoudis; Adonis F. Velegrakis (Neurocomputing, 2018)

Interpretability Constraints for Fuzzy Modeling Implemented by Constrained Particle Swarm Optimization. - George E. Tsekouras; John V. Tsimikas; Christos Kalloniatis; Stefanos Gritzalis (IEEE Trans. Fuzzy Syst., 2018)

Modeling beach realignment using a neuro-fuzzy network optimized by a novel backtracking search algorithm. - Antonios Chatzipavlis; George E. Tsekouras; Vasilis Trygonis; Adonis F. Velegrakis; John V. Tsimikas; Anastasios Rigos; Thomas Hasiotis; Constantinos Salmas (Neural Comput. Appl., 2019)

Personalized and content adaptive cultural heritage path recommendation: an application to the Gournia and Çatalhöyük archaeological sites. - Georgios Alexandridis; Angeliki Chrysanthi; George E. Tsekouras; George Caridakis (User Model. User Adapt. Interact., 2019)

Image Recoloring of Art Paintings for the Color Blind Guided by Semantic Segmentation. - Stamatis Chatzistamatis; Anastasios Rigos; George E. Tsekouras (EANN, 2020)

A Chebyshev polynomial feedforward neural network trained by differential evolution and its application in environmental case studies. - Ioannis A. Troumbis; George E. Tsekouras; John V. Tsimikas; Christos Kalloniatis; Dias Haralambopoulos (Environ. Model. Softw., 2020)

A Legendre Polynomial Neural Network and its Application in Predicting Data Center Temperature. - Nikolaos Melissaris; George E. Tsekouras; Stamatis Chatzistamatis; John V. Tsimikas (SoftCOM, 2021)

Ontology-Based Feature Selection: A Survey. - Konstantinos Sikelis; George E. Tsekouras; Konstantinos Kotis (Future Internet, 2021)

A Novel Approach to Image Recoloring for Color Vision Deficiency. - George E. Tsekouras; Anastasios Rigos; Stamatis Chatzistamatis; John V. Tsimikas; Konstantinos Kotis; George Caridakis; Christos-Nikolaos Anagnostopoulos (Sensors, 2021)

Computational Creativity Under the Framework of Recoloring Art Paintings for Color-Blindness. - Eftichia Angeli; Christos Cholevas; Emmanouil Mavrikos; Stamatis Chatzistamatis; George E. Tsekouras (IISA, 2023)

ChatGPT and Persuasive Technologies for the Management and Delivery of Personalized Recommendations in Hotel Hospitality. - Manolis Remountakis; Konstantinos Kotis; Babis Kourtzis; George E. Tsekouras (CoRR, 2023)

Using ChatGPT and Persuasive Technology for Personalized Recommendation Messages in Hotel Upselling. - Manolis Remountakis; Konstantinos Kotis; Babis Kourtzis; George E. Tsekouras (Inf., 2023)

The Quality in 3D Acquisition of Cultural Heritage Assets: Challenges and Risks. - Stamatis Chatzistamatis; George E. Tsekouras; Christos-Nikolaos Anagnostopoulos (3D Research Challenges in Cultural Heritage, 2023)

Structure Learning and Hyperparameter Optimization Using an Automated Machine Learning (AutoML) Pipeline. - Konstantinos Filippou; George Aifantis; George A. Papakostas; George E. Tsekouras (Inf., 2023)

Early Flood Monitoring and Forecasting System Using a Hybrid Machine Learning-Based Approach. - Eleni-Ioanna Koutsovili; Ourania Tzoraki; Nicolaos Theodossiou; George E. Tsekouras (ISPRS Int. J. Geo Inf., 2023)

Graph Neural Networks for Parkinson's Disease Monitoring and Alerting. - Nikolaos Zafeiropoulos; Pavlos Bitilis; George E. Tsekouras; Konstantinos Kotis (Sensors, 2023)

Evaluating Ontology-Based PD Monitoring and Alerting in Personal Health Knowledge Graphs and Graph Neural Networks. - Nikolaos Zafeiropoulos; Pavlos Bitilis; George E. Tsekouras; Konstantinos Kotis (Inf., 2024)

Anomaly Detection in Blockchain Networks Using Unsupervised Learning: A Survey. - Christos Cholevas; Eftychia Angeli; Zacharoula Sereti; Emmanouil Mavrikos; George E. Tsekouras (Algorithms, 2024)