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Graph Neural Networks for Parkinson’s Disease Monitoring and Alerting

Sensors (Basel, Switzerland), 2023-11, Vol.23 (21), p.8936

2023

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A fuzzy vector quantization approach to image compression

Applied mathematics and computation, 2005-08, Vol.167 (1), p.539-560

Tsekouras, George E.

2005

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A Novel Approach to Image Recoloring for Color Vision Deficiency

Sensors (Basel, Switzerland), 2021-04, Vol.21 (8), p.2740

2021

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

Neurocomputing (Amsterdam), 2013-05, Vol.108, p.36-44

Tsekouras, George E.

2013

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Anomaly Detection in Blockchain Networks Using Unsupervised Learning: A Survey

Algorithms, 2024-05, Vol.17 (5), p.201

2024

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Using ChatGPT and Persuasive Technology for Personalized Recommendation Messages in Hotel Upselling

Information (Basel), 2023-09, Vol.14 (9), p.504

2023

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Evaluating Ontology-Based PD Monitoring and Alerting in Personal Health Knowledge Graphs and Graph Neural Networks

Information (Basel), 2024-02, Vol.15 (2), p.100

2024

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Structure Learning and Hyperparameter Optimization Using an Automated Machine Learning (AutoML) Pipeline

Information (Basel), 2023-04, Vol.14 (4), p.232

2023

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Early Flood Monitoring and Forecasting System Using a Hybrid Machine Learning-Based Approach

ISPRS international journal of geo-information, 2023-11, Vol.12 (11), p.464

2023

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LSTM-Based Prediction of Mediterranean Vegetation Dynamics Using NDVI Time-Series Data

Land (Basel), 2022-06, Vol.11 (6), p.923

2022

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Feature Selection with a Backtracking Search Optimization Algorithm

ITM Web of Conferences, 2022, Vol.43, p.1018

2022

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Identifying Historic Buildings over Time through Image Matching

Technologies (Basel), 2023-02, Vol.11 (1), p.32

2023

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

ISPRS international journal of geo-information, 2018-11, Vol.7 (11), p.420

2018

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

User modeling and user-adapted interaction, 2019-03, Vol.29 (1), p.201-238

2019

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Interpretability Constraints for Fuzzy Modeling Implemented by Constrained Particle Swarm Optimization

IEEE transactions on fuzzy systems, 2018-08, Vol.26 (4), p.2348-2361

2018

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

Fuzzy sets and systems, 2012-04, Vol.193, p.62-84

2012

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Ontology-Based Feature Selection: A Survey

Future internet, 2021-06, Vol.13 (6), p.158

2021

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

Neural computing & applications, 2019-06, Vol.31 (6), p.1747-1763

2019

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A mobile agent platform for distributed network and systems management

The Journal of systems and software, 2009-02, Vol.82 (2), p.355-371

2009

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

Engineering applications of artificial intelligence, 2012-09, Vol.25 (6), p.1212-1225

2012

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

Neural networks, 2012-12, Vol.36, p.83-96

2012

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

Advances in engineering software (1992), 2015-04, Vol.82, p.25-37

2015

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

Journal of intelligent & robotic systems, 2015-04, Vol.78 (1), p.105-125

2015

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Fuzzy rule base simplification using multidimensional scaling and constrained optimization

Fuzzy sets and systems, 2016-08, Vol.297, p.46-72

Tsekouras, George E.

2016

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On training RBF neural networks using input–output fuzzy clustering and particle swarm optimization

Fuzzy sets and systems, 2013-06, Vol.221, p.65-89

2013

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Graph Neural Networks for Parkinson’s Disease Monitoring and Alerting

A fuzzy vector quantization approach to image compression

A Novel Approach to Image Recoloring for Color Vision Deficiency

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

Anomaly Detection in Blockchain Networks Using Unsupervised Learning: A Survey

Using ChatGPT and Persuasive Technology for Personalized Recommendation Messages in Hotel Upselling

Evaluating Ontology-Based PD Monitoring and Alerting in Personal Health Knowledge Graphs and Graph Neural Networks

Structure Learning and Hyperparameter Optimization Using an Automated Machine Learning (AutoML) Pipeline

Early Flood Monitoring and Forecasting System Using a Hybrid Machine Learning-Based Approach

LSTM-Based Prediction of Mediterranean Vegetation Dynamics Using NDVI Time-Series Data

Feature Selection with a Backtracking Search Optimization Algorithm

Identifying Historic Buildings over Time through Image Matching

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

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

Interpretability Constraints for Fuzzy Modeling Implemented by Constrained Particle Swarm Optimization

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

Ontology-Based Feature Selection: A Survey

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

A mobile agent platform for distributed network and systems management

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

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

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

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

Fuzzy rule base simplification using multidimensional scaling and constrained optimization

On training RBF neural networks using input–output fuzzy clustering and particle swarm optimization

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