George C. Anastassopoulos

Orcid: 0000-0001-6604-1110

Affiliations:
  • Democritus University of Thrace, Greece


According to our database1, George C. Anastassopoulos authored at least 46 papers between 1994 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Subsampled Dataset Challenges and Machine Learning Techniques in Table Tennis.
Proceedings of the Engineering Applications of Neural Networks, 2023

2021
Eyelid basal cell carcinoma classification using shallow and deep learning artificial neural networks.
Evol. Syst., 2021

2020
Mutual information algorithms for optimal attribute selection in data driven partitions of databases.
Evol. Syst., 2020

Identification of Eyelid Basal Cell Carcinoma Using Artificial Neural Networks.
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

Classification of Psychosomatic's Symptoms of Depression: Iliou Versus PCA Preprocessing Methods.
Proceedings of the 25th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2020

2019
ILIOU machine learning preprocessing method for depression type prediction.
Evol. Syst., 2019

Iliou Machine Learning Data Preprocessing Method for Suicide Prediction from Family History.
Proceedings of the Artificial Intelligence Applications and Innovations, 2019

2018
A Trust Model for Ubiquitous Healthcare Environment on the Basis of Adaptable Fuzzy-Probabilistic Inference System.
IEEE J. Biomed. Health Informatics, 2018

A mapping of epilepsy's evolution: implementation of the proposed knowledge based model.
Evol. Syst., 2018

Iliou Machine Learning Data Preprocessing Method for Stress Level Prediction.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018

2017
A novel data preprocessing method for boosting neural network performance: A case study in osteoporosis prediction.
Inf. Sci., 2017

A methodology to carry out voting classification tasks using a particle swarm optimization-based neuro-fuzzy competitive learning network.
Evol. Syst., 2017

Information Feature Selection: Using Local Attribute Selections to Represent Connected Distributions in Complex Datasets.
Proceedings of the Engineering Applications of Neural Networks, 2017

2016
An Implementation of a Decision-Making Algorithm Based on a Novel Health Status Transition Model of Epilepsy.
Proceedings of the Artificial Intelligence Applications and Innovations, 2016

Machine Learning Preprocessing Method for Suicide Prediction.
Proceedings of the Artificial Intelligence Applications and Innovations, 2016

2015
Vesicoureteral reflux detection with reliable probabilistic outputs.
Inf. Sci., 2015

Structural properties and interaction energies affecting drug design. An approach combining molecular simulations, statistics, interaction energies and neural networks.
Comput. Biol. Chem., 2015

Optimizing voting classification using cluster analysis on medical diagnosis data.
Proceedings of the Workshop Proceedings of the 16th International Conference on Engineering Applications of Neural Networks, 2015

A Novel Machine Learning Data Preprocessing Method for Enhancing Classification Algorithms Performance.
Proceedings of the Workshop Proceedings of the 16th International Conference on Engineering Applications of Neural Networks, 2015

Classification of the most Significant Psychological Symptoms in Mental Patients with Depression using Bayesian Network.
Proceedings of the Workshop Proceedings of the 16th International Conference on Engineering Applications of Neural Networks, 2015

2014
Osteoporosis Detection Using Machine Learning Techniques and Feature Selection.
Int. J. Artif. Intell. Tools, 2014

Prediction of 30-Day Mortality after a Hip Fracture Surgery Using Neural and Bayesian Networks.
Proceedings of the Artificial Intelligence Applications and Innovations, 2014

2013
A Self-Organizing Feature Map (SOFM) model based on aggregate-ordering of local color vectors according to block similarity measures.
Neurocomputing, 2013

A Novel Rate-Distortion Method in 3D Video Capturing in the Context of High Efficiency Video Coding (HEVC) in Intelligent Communications.
Proceedings of the Artificial Intelligence Applications and Innovations, 2013

Diagnostic Feature Extraction on Osteoporosis Clinical Data Using Genetic Algorithms.
Proceedings of the Artificial Intelligence Applications and Innovations, 2013

Feature Extraction of Osteoporosis Risk Factors using Artificial Neural Networks and Genetic Algorithms.
Proceedings of the Informatics, 2013

Probabilistic Prediction for the Detection of Vesicoureteral Reflux.
Proceedings of the Engineering Applications of Neural Networks, 2013

Combined Classification of Risk Factors for Appendicitis Prediction in Childhood.
Proceedings of the Engineering Applications of Neural Networks, 2013

2012
A User-Centered, Object-Oriented Methodology for Developing Health Information Systems: A Clinical Information System (CIS) Example.
J. Medical Syst., 2012

Scalable Object Encoding Using Multiplicative Multilinear Inter-camera Prediction in the Context of Free View 3D Video.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012

2011
Genetic algorithm pruning of probabilistic neural networks in medical disease estimation.
Neural Networks, 2011

A Window-Based Self-Organizing Feature Map (SOFM) for Vector Filtering Segmentation of Color Medical Imagery.
Proceedings of the Engineering Applications of Neural Networks, 2011

2010
A contextual data mining approach toward assisting the treatment of anxiety disorders.
IEEE Trans. Inf. Technol. Biomed., 2010

A Soft Computing Approach for Osteoporosis Risk Factor Estimation.
Proceedings of the Artificial Intelligence Applications and Innovations, 2010

Color Segmentation Using Self-Organizing Feature Maps (SOFMs) Defined Upon Color and Spatial Image Space.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

A Probabilistic Neural Network for Assessment of the Vesicoureteral Reflux's Diagnostic Factors Validity.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009
Intelligent hybrid modelling towards the prognosis of abdominal pain.
Int. J. Hybrid Intell. Syst., 2009

An Evolutionary Technique for Medical Diagnostic Risk Factors Selection.
Proceedings of the Artificial Intelligence Applications and Innovations III, 2009

Revealing the Structure of Childhood Abdominal Pain Data and Supporting Diagnostic Decision Making.
Proceedings of the Engineering Applications of Neural Networks, 2009

2008
A non-symbolic implementation of abdominal pain estimation in childhood.
Inf. Sci., 2008

Medical disease prediction using Artificial Neural Networks.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2002
Multiresolution autoregressive filtering for pneumonia detection in medical images.
Proceedings of the 14th International Conference on Digital Signal Processing, 2002

Application of JPEG 2000 compression in medical database image data.
Proceedings of the 14th International Conference on Digital Signal Processing, 2002

1995
ELPIDA: a general architecture for medical imaging systems supporting telemedicine applications.
J. Electronic Imaging, 1995

1994
An homogeneous medical tele-working domain supported by a new remote expert consultation conferencing service.
Eur. Trans. Telecommun., 1994

A prototype user interface for medical multimedia application.
Proceedings of the Seventh Annual IEEE Symposium on Computer-Based Medical Systems (CBMS'94), 1994


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