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George E. Tsekouras
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2020 – today
- 2024
- [j36]Christos Cholevas, Eftychia Angeli, Zacharoula Sereti, Emmanouil Mavrikos, George E. Tsekouras:
Anomaly Detection in Blockchain Networks Using Unsupervised Learning: A Survey. Algorithms 17(5): 201 (2024) - [j35]Nikolaos Zafeiropoulos, Pavlos Bitilis, George E. Tsekouras, Konstantinos Kotis:
Evaluating Ontology-Based PD Monitoring and Alerting in Personal Health Knowledge Graphs and Graph Neural Networks. Inf. 15(2): 100 (2024) - 2023
- [j34]Eleni-Ioanna Koutsovili, Ourania Tzoraki, Nicolaos Theodossiou, George E. Tsekouras:
Early Flood Monitoring and Forecasting System Using a Hybrid Machine Learning-Based Approach. ISPRS Int. J. Geo Inf. 12(11): 464 (2023) - [j33]Konstantinos Filippou, George Aifantis, George A. Papakostas, George E. Tsekouras:
Structure Learning and Hyperparameter Optimization Using an Automated Machine Learning (AutoML) Pipeline. Inf. 14(4): 232 (2023) - [j32]Manolis Remountakis, Konstantinos Kotis, Babis Kourtzis, George E. Tsekouras:
Using ChatGPT and Persuasive Technology for Personalized Recommendation Messages in Hotel Upselling. Inf. 14(9): 504 (2023) - [j31]Nikolaos Zafeiropoulos, Pavlos Bitilis, George E. Tsekouras, Konstantinos Kotis:
Graph Neural Networks for Parkinson's Disease Monitoring and Alerting. Sensors 23(21): 8936 (2023) - [c26]Eftichia Angeli, Christos Cholevas, Emmanouil Mavrikos, Stamatis Chatzistamatis, George E. Tsekouras:
Computational Creativity Under the Framework of Recoloring Art Paintings for Color-Blindness. IISA 2023: 1-6 - [p1]Stamatis Chatzistamatis, George E. Tsekouras, Christos-Nikolaos Anagnostopoulos:
The Quality in 3D Acquisition of Cultural Heritage Assets: Challenges and Risks. 3D Research Challenges in Cultural Heritage 2023: 65-76 - [i2]Manolis Remountakis, Konstantinos Kotis, Babis Kourtzis, George E. Tsekouras:
ChatGPT and Persuasive Technologies for the Management and Delivery of Personalized Recommendations in Hotel Hospitality. CoRR abs/2307.14298 (2023) - 2021
- [j30]Konstantinos Sikelis, George E. Tsekouras, Konstantinos Kotis:
Ontology-Based Feature Selection: A Survey. Future Internet 13(6): 158 (2021) - [j29]George E. Tsekouras, Anastasios Rigos, Stamatis Chatzistamatis, John V. Tsimikas, Konstantinos Kotis, George Caridakis, Christos-Nikolaos Anagnostopoulos:
A Novel Approach to Image Recoloring for Color Vision Deficiency. Sensors 21(8): 2740 (2021) - [c25]Nikolaos Melissaris, George E. Tsekouras, Stamatis Chatzistamatis, John V. Tsimikas:
A Legendre Polynomial Neural Network and its Application in Predicting Data Center Temperature. SoftCOM 2021: 1-6 - [i1]Konstantinos Sikelis, George E. Tsekouras, Konstantinos I. Kotis:
Ontology-based Feature Selection: A Survey. CoRR abs/2104.07720 (2021) - 2020
- [j28]Ioannis A. Troumbis, George E. Tsekouras, John V. Tsimikas, Christos Kalloniatis, Dias Haralambopoulos:
A Chebyshev polynomial feedforward neural network trained by differential evolution and its application in environmental case studies. Environ. Model. Softw. 126: 104663 (2020) - [c24]Stamatis Chatzistamatis, Anastasios Rigos, George E. Tsekouras:
Image Recoloring of Art Paintings for the Color Blind Guided by Semantic Segmentation. EANN 2020: 261-273
2010 – 2019
- 2019
- [j27]Antonios Chatzipavlis, George E. Tsekouras, Vasilis Trygonis, Adonis F. Velegrakis, John V. Tsimikas, Anastasios Rigos, Thomas Hasiotis, Constantinos Salmas:
Modeling beach realignment using a neuro-fuzzy network optimized by a novel backtracking search algorithm. Neural Comput. Appl. 31(6): 1747-1763 (2019) - [j26]Georgios Alexandridis, Angeliki Chrysanthi, George E. Tsekouras, George Caridakis:
Personalized and content adaptive cultural heritage path recommendation: an application to the Gournia and Çatalhöyük archaeological sites. User Model. User Adapt. Interact. 29(1): 201-238 (2019) - 2018
- [j25]Christos Vasilakos, George E. Tsekouras, Palaiologos Palaiologou, Kostas Kalabokidis:
Neural-Network Time-Series Analysis of MODIS EVI for Post-Fire Vegetation Regrowth. ISPRS Int. J. Geo Inf. 7(11): 420 (2018) - [j24]George E. Tsekouras, Vasilis Trygonis, Andreas Maniatopoulos, Anastasios Rigos, Antonios Chatzipavlis, John V. Tsimikas, Nikolaos Mitianoudis, Adonis F. Velegrakis:
A Hermite neural network incorporating artificial bee colony optimization to model shoreline realignment at a reef-fronted beach. Neurocomputing 280: 32-45 (2018) - [j23]George E. Tsekouras, John V. Tsimikas, Christos Kalloniatis, Stefanos Gritzalis:
Interpretability Constraints for Fuzzy Modeling Implemented by Constrained Particle Swarm Optimization. IEEE Trans. Fuzzy Syst. 26(4): 2348-2361 (2018) - [c23]George E. Tsekouras, Stamatis Chatzistamatis, Christos-Nikolaos Anagnostopoulos, Dimitrios Makris:
Color adaptation for protanopia using differential evolution-based fuzzy clustering: A case study in digitized paintings. EAIS 2018: 1-8 - [c22]Ioannis A. Troumbis, George E. Tsekouras, Christos Kalloniatis, Panagiotis Papachiou, Dias Haralambopoulos:
Modeling Data Center Temperature Profile in Terms of a First Order Polynomial RBF Network Trained by Particle Swarm Optimization. ICANN (2) 2018: 587-595 - 2017
- [j22]Androniki Tamvakis, George E. Tsekouras, Anastasios Rigos, Christos Kalloniatis, Christos-Nikolaos Anagnostopoulos, George C. Anastassopoulos:
A methodology to carry out voting classification tasks using a particle swarm optimization-based neuro-fuzzy competitive learning network. Evol. Syst. 8(1): 49-69 (2017) - [c21]George E. Tsekouras, Vasilis Trygonis, Anastasios Rigos, Antonios Chatzipavlis, Dimitrios Tsolakis, Adonis F. Velegrakis:
Neuro-Fuzzy Network for Modeling the Shoreline Realignment of the Kamari Beach, Santorini, Greece. EANN 2017: 229-241 - 2016
- [j21]George E. Tsekouras:
Fuzzy rule base simplification using multidimensional scaling and constrained optimization. Fuzzy Sets Syst. 297: 46-72 (2016) - [j20]Anastasios Rigos, George E. Tsekouras, Michalis I. Vousdoukas, Antonios Chatzipavlis, Adonis F. Velegrakis:
A Chebyshev polynomial radial basis function neural network for automated shoreline extraction from coastal imagery. Integr. Comput. Aided Eng. 23(2): 141-160 (2016) - [c20]Anastasios Rigos, George E. Tsekouras, Antonios Chatzipavlis, Adonis F. Velegrakis:
Modeling Beach Rotation Using a Novel Legendre Polynomial Feedforward Neural Network Trained by Nonlinear Constrained Optimization. AIAI 2016: 167-179 - 2015
- [j19]George E. Tsekouras, Andreas Manousakis, Christos Vasilakos, Kostas Kalabokidis:
Improving the effect of fuzzy clustering on RBF network's performance in terms of particle swarm optimization. Adv. Eng. Softw. 82: 25-37 (2015) - [j18]Antonios D. Niros, George E. Tsekouras, Dimitrios Tsolakis, Andreas Manousakis-Kokorakis, Dimosthenis Kyriazis:
Hierarchical Fuzzy Clustering in Conjunction with Particle Swarm Optimization to Efficiently Design RBF Neural Networks. J. Intell. Robotic Syst. 78(1): 105-125 (2015) - [c19]Androniki Tamvakis, Christos-Nikolaos Anagnostopoulos, George E. Tsekouras, George C. Anastassopoulos:
Optimizing voting classification using cluster analysis on medical diagnosis data. EANN Workshops 2015: 12:1-12:7 - [c18]George E. Tsekouras, Anastasios Rigos, Antonios Chatzipavlis, Adonis Velegrakis:
A Neural-Fuzzy Network Based on Hermite Polynomials to Predict the Coastal Erosion. EANN 2015: 195-205 - 2014
- [c17]Anastasios Rigos, Olympos P. Andreadis, Andreas Manousakis, Michalis I. Vousdoukas, George E. Tsekouras, Adonis Velegrakis:
Shoreline Extraction from Coastal Images Using Chebyshev Polynomials and RBF Neural Networks. AIAI 2014: 593-603 - 2013
- [j17]George E. Tsekouras, John V. Tsimikas:
On training RBF neural networks using input-output fuzzy clustering and particle swarm optimization. Fuzzy Sets Syst. 221: 65-89 (2013) - [j16]George E. Tsekouras:
A simple and effective algorithm for implementing particle swarm optimization in RBF network's design using input-output fuzzy clustering. Neurocomputing 108: 36-44 (2013) - [j15]George E. Tsekouras, Damianos Gavalas:
An Effective fuzzy Clustering Algorithm for Web Document Classification: a Case Study in Cultural Content Mining. Int. J. Softw. Eng. Knowl. Eng. 23(6): 869-886 (2013) - 2012
- [j14]Dimitrios Tsolakis, George E. Tsekouras, John V. Tsimikas:
Fuzzy vector quantization for image compression based on competitive agglomeration and a novel codeword migration strategy. Eng. Appl. Artif. Intell. 25(6): 1212-1225 (2012) - [j13]Antonios D. Niros, George E. Tsekouras:
A novel training algorithm for RBF neural network using a hybrid fuzzy clustering approach. Fuzzy Sets Syst. 193: 62-84 (2012) - [j12]Dimitrios Tsolakis, George E. Tsekouras, Antonios D. Niros, Anastasios Rigos:
On the systematic development of fast fuzzy vector quantization for grayscale image compression. Neural Networks 36: 83-96 (2012) - 2011
- [j11]Evangelos Vlachogiannis, Damianos Gavalas, George E. Tsekouras, Christos-Nikolaos Anagnostopoulos:
Accessible interactive television using the MPEG-21 standard. Univers. Access Inf. Soc. 10(2): 151-163 (2011) - 2010
- [j10]Ioannis Anagnostopoulos, Christos-Nikolaos Anagnostopoulos, Evangelos Vlachogiannis, Damianos Gavalas, George E. Tsekouras:
Adaptive and personalized multimedia content delivery for disabled users in Internet TV. Signal Image Video Process. 4(3): 273-287 (2010) - [c16]George E. Tsekouras, Dimitrios Paris Darzentas, Ioanna Drakoulaki, Antonios D. Niros:
Fast fuzzy vector quantization. FUZZ-IEEE 2010: 1-8
2000 – 2009
- 2009
- [j9]Damianos Gavalas, George E. Tsekouras, Christos Anagnostopoulos:
A mobile agent platform for distributed network and systems management. J. Syst. Softw. 82(2): 355-371 (2009) - [c15]Paul Doliotis, George E. Tsekouras, Christos-Nikolaos Anagnostopoulos, Vassilis Athitsos:
Intelligent Modification of Colors in Digitized Paintings for Enhancing the Visual Perception of Color-blind Viewers. AIAI 2009: 293-301 - 2008
- [j8]Christos-Nikolaos Anagnostopoulos, Evangelos Vlachogiannis, Ioannis Psoroulas, Damianos Gavalas, George E. Tsekouras, George Konstantas:
Intelligent content personalisation in internet TV using MPEG-21. Int. J. Internet Protoc. Technol. 3(3): 159-169 (2008) - [j7]George E. Tsekouras, Mamalis Antonios, Christos Anagnostopoulos, Damianos Gavalas, Daphne Economou:
Improved batch fuzzy learning vector quantization for image compression. Inf. Sci. 178(20): 3895-3907 (2008) - [j6]Daphne Economou, Damianos Gavalas, Michael Kenteris, George E. Tsekouras:
Cultural applications for mobile devices: Issues and requirements for authoring tools and development platforms. ACM SIGMOBILE Mob. Comput. Commun. Rev. 12(3): 18-33 (2008) - [c14]Evangelos Vlachogiannis, Damianos Gavalas, Christos Anagnostopoulos, George E. Tsekouras:
Towards iTV accessibility: the MPEG-21 case. PETRA 2008: 33 - [c13]Antonios D. Niros, George E. Tsekouras:
A Fuzzy Clustering Algorithm to Estimate the Parameters of Radial Basis Functions Neural Networks and Its Application to System Modeling. SETN 2008: 194-204 - [c12]George E. Tsekouras, Damianos Gavalas, Stefanos Filios, Antonios D. Niros, George Bafaloukas:
A Clustering Framework to Build Focused Web Crawlers for Automatic Extraction of Cultural Information. SETN 2008: 419-424 - 2007
- [c11]Christos-Nikolaos Anagnostopoulos, George E. Tsekouras, Damianos Gavalas, Daphne Economou, Ioannis Psoroulas:
Increasing interactivity in IPTV using MPEG-21 descriptors. AIAI 2007: 65-72 - [c10]George E. Tsekouras, Christos Anagnostopoulos, Damianos Gavalas, Economou Dafhi:
Classification of Web Documents using Fuzzy Logic Categorical Data Clustering. AIAI 2007: 93-100 - 2005
- [j5]George E. Tsekouras:
On the use of the weighted fuzzy c-means in fuzzy modeling. Adv. Eng. Softw. 36(5): 287-300 (2005) - [j4]George E. Tsekouras:
A fuzzy vector quantization approach to image compression. Appl. Math. Comput. 167(1): 539-560 (2005) - [j3]George E. Tsekouras, Haralambos Sarimveis, Evangelia Kavakli, George V. Bafas:
A hierarchical fuzzy-clustering approach to fuzzy modeling. Fuzzy Sets Syst. 150(2): 245-266 (2005) - [j2]George E. Tsekouras:
Fuzzy Modeling Based on Ordinary Fuzzy Partitions and Nearest Neighbor Clustering. J. Intell. Robotic Syst. 43(2-4): 255-282 (2005) - [c9]George E. Tsekouras, Dimitris Papageorgiou, Christos Kalloniatis:
Analysis of Cross-Cultural Data using Hierarchical Fuzzy Logic Clustering. Artificial Intelligence and Applications 2005: 262-267 - [c8]George E. Tsekouras:
Modeling the Cross-Cultural Adaptation Process of Immigrants Using Categorical Data Clustering. CIMCA/IAWTIC 2005: 396-401 - [c7]Sotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas:
Local Bagging of Decision Stumps. IEA/AIE 2005: 406-411 - [c6]George E. Tsekouras, Dimitris Papageorgiou, Sotiris B. Kotsiantis, Christos Kalloniatis, Panayiotis E. Pintelas:
A Fuzzy Logic-Based Approach for Detecting Shifting Patterns in Cross-Cultural Data. IEA/AIE 2005: 705-708 - [c5]Sotiris B. Kotsiantis, George E. Tsekouras, C. Raptis, Panayiotis E. Pintelas:
Modeling the Organoleptic Properties of Matured Wine Distillates. MLDM 2005: 667-673 - [c4]Sotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas:
Bagging Random Trees for Estimation of Tissue Softness. MLDM 2005: 674-681 - [c3]Sotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas:
Bagging Model Trees for Classification Problems. Panhellenic Conference on Informatics 2005: 328-337 - [c2]George E. Tsekouras, Evi Sampanikou:
Cluster Analysis for the Statistical Modeling of Aesthetic Judgment Data Related to Comics Artists. IEC (Prague) 2005: 304-306 - 2004
- [c1]George E. Tsekouras, Dimitris Papageorgiou, Sotiris B. Kotsiantis, Christos Kalloniatis, Panayiotis E. Pintelas:
Fuzzy Clustering of Categorical Attributes and its Use in Analyzing Cultural Data. International Conference on Computational Intelligence 2004: 202-206 - 2001
- [j1]John Bessant, George E. Tsekouras:
Developing learning networks. AI Soc. 15(1-2): 82-98 (2001)
Coauthor Index
aka: Christos-Nikolaos Anagnostopoulos
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last updated on 2024-10-07 21:16 CEST by the dblp team
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