George C. Anastassopoulos

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 17

Top Topics

Cluster Analysis

Attribute Selection

Top Venues

Publications

Dimitrios Simopoulos, Dimitrios Kosmidis, Sotiria Koutsouki, Nicolas Bonnotte, George C. Anastassopoulos
Advanced Mortality Prediction in Adult ICU: Introducing a Deep Learning Approach in Healthcare. AIAI (1) (2024)
Dimitrios Simopoulos, Andreas Nikolakakis, George C. Anastassopoulos
Subsampled Dataset Challenges and Machine Learning Techniques in Table Tennis. EANN (2023)
Harris Papadopoulos, George C. Anastassopoulos
Vesicoureteral Reflux Detection with Reliable Probabilistic Outputs. CoRR (2023)
Adam V. Adamopoulos, Evaggelos Georgios Chatzopoulos, George C. Anastassopoulos, Efstathios Detorakis
Eyelid basal cell carcinoma classification using shallow and deep learning artificial neural networks. Evol. Syst. 12 (3) (2021)
Theodoros Iliou, Georgia Konstantopoulou, Konstantinos Anastasopoulos, Christina Lymperopoulou, Georgios Mantas, Jonathan Rodriguez, Dimitrios K. Lymberopoulos, George C. Anastassopoulos
Classification of Psychosomatic's Symptoms of Depression: Iliou Versus PCA Preprocessing Methods. CAMAD (2020)
Ioannis M. Stephanakis, Theodoros Iliou, George C. Anastassopoulos
Mutual information algorithms for optimal attribute selection in data driven partitions of databases. Evol. Syst. 11 (3) (2020)
Evagelos Georgios Chatzopoulos, George C. Anastassopoulos, Efstathios Detorakis, Adam V. Adamopoulos
Identification of Eyelid Basal Cell Carcinoma Using Artificial Neural Networks. EANN (2020)
Theodoros Iliou, Georgia Konstantopoulou, Mandani Ntekouli, Christina Lymperopoulou, Konstantinos Assimakopoulos, Dimitrios Galiatsatos, George C. Anastassopoulos
ILIOU machine learning preprocessing method for depression type prediction. Evol. Syst. 10 (1) (2019)
Theodoros Iliou, Georgia Konstantopoulou, Christina Lymperopoulou, Konstantinos Anastasopoulos, George C. Anastassopoulos, Dimitrios Margounakis, Dimitrios K. Lymberopoulos
Iliou Machine Learning Data Preprocessing Method for Suicide Prediction from Family History. AIAI (2019)
Georgia N. Athanasiou, George C. Anastassopoulos, Eleni Tiritidou, Dimitrios K. Lymberopoulos
A Trust Model for Ubiquitous Healthcare Environment on the Basis of Adaptable Fuzzy-Probabilistic Inference System. IEEE J. Biomed. Health Informatics 22 (4) (2018)
Mandani Ntekouli, Maria Marouli, Georgia Konstantopoulou, George C. Anastassopoulos, Dimitrios K. Lymberopoulos, Panagiotis Polychronopoulos, John Ellul
A mapping of epilepsy's evolution: implementation of the proposed knowledge based model. Evol. Syst. 9 (4) (2018)
Theodoros Iliou, Georgia Konstantopoulou, Ioannis M. Stephanakis, Konstantinos Anastasopoulos, Dimitrios K. Lymberopoulos, George C. Anastassopoulos
Iliou Machine Learning Data Preprocessing Method for Stress Level Prediction. AIAI (2018)
Theodoros Iliou, Christos-Nikolaos Anagnostopoulos, Ioannis M. Stephanakis, George C. Anastassopoulos
A novel data preprocessing method for boosting neural network performance: A case study in osteoporosis prediction. Inf. Sci. 380 (2017)
Ioannis M. Stephanakis, Theodoros Iliou, George C. Anastassopoulos
Information Feature Selection: Using Local Attribute Selections to Represent Connected Distributions in Complex Datasets. EANN (2017)
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) (2017)
Theodoros Iliou, Georgia Konstantopoulou, Mandani Ntekouli, Dimitrios K. Lymberopoulos, Konstantinos Assimakopoulos, Dimitrios Galiatsatos, George C. Anastassopoulos
Machine Learning Preprocessing Method for Suicide Prediction. AIAI (2016)
Mandani Ntekouli, Maria Marouli, Georgia Konstantopoulou, George C. Anastassopoulos, Dimitrios Lymperopoulos
An Implementation of a Decision-Making Algorithm Based on a Novel Health Status Transition Model of Epilepsy. AIAI (2016)
Dimitrios Galiatsatos, Georgia Konstantopoulou, George C. Anastassopoulos, Marina Nerantzaki, Konstantinos Assimakopoulos, Dimitrios K. Lymberopoulos
Classification of the most Significant Psychological Symptoms in Mental Patients with Depression using Bayesian Network. EANN Workshops (2015)
Theodoros Iliou, Christos-Nikolaos Anagnostopoulos, Marina Nerantzaki, George C. Anastassopoulos
A Novel Machine Learning Data Preprocessing Method for Enhancing Classification Algorithms Performance. EANN Workshops (2015)
Harris Papadopoulos, George C. Anastassopoulos
Vesicoureteral reflux detection with reliable probabilistic outputs. Inf. Sci. 308 (2015)
Androniki Tamvakis, Christos-Nikolaos Anagnostopoulos, George E. Tsekouras, George C. Anastassopoulos
Optimizing voting classification using cluster analysis on medical diagnosis data. EANN Workshops (2015)
Theodoros Iliou, Christos-Nikolaos Anagnostopoulos, George C. Anastassopoulos
Osteoporosis Detection Using Machine Learning Techniques and Feature Selection. Int. J. Artif. Intell. Tools 23 (5) (2014)
Dimitrios Galiatsatos, George C. Anastassopoulos, Georgios Drosos, Athanasios Ververidis, Konstantinos Tilkeridis, Konstantinos Kazakos
Prediction of 30-Day Mortality after a Hip Fracture Surgery Using Neural and Bayesian Networks. AIAI (2014)
George C. Anastassopoulos, Adam V. Adamopoulos, Dimitrios Galiatsatos, Georgios Drosos
Feature Extraction of Osteoporosis Risk Factors using Artificial Neural Networks and Genetic Algorithms. ICIMTH (2013)
George C. Anastassopoulos, Adam V. Adamopoulos, Georgios Drosos, Konstantinos Kazakos, Harris Papadopoulos
Diagnostic Feature Extraction on Osteoporosis Clinical Data Using Genetic Algorithms. AIAI (2013)
Ioannis M. Stephanakis, Ioannis P. Chochliouros, Anastasios Dagiuklas, George C. Anastassopoulos
A Novel Rate-Distortion Method in 3D Video Capturing in the Context of High Efficiency Video Coding (HEVC) in Intelligent Communications. AIAI (2013)
Ioannis M. Stephanakis, George C. Anastassopoulos, Lazaros S. Iliadis
A Self-Organizing Feature Map (SOFM) model based on aggregate-ordering of local color vectors according to block similarity measures. Neurocomputing 107 (2013)
Theodoros Iliou, Christos-Nikolaos Anagnostopoulos, Ioannis M. Stephanakis, George C. Anastassopoulos
Combined Classification of Risk Factors for Appendicitis Prediction in Childhood. EANN (2) (2013)
Harris Papadopoulos, George C. Anastassopoulos
Probabilistic Prediction for the Detection of Vesicoureteral Reflux. EANN (1) (2013)
Georgios Konstantinidis, George C. Anastassopoulos, Alexandros S. Karakos, Emmanouil Anagnostou, Vasileios Danielides
A User-Centered, Object-Oriented Methodology for Developing Health Information Systems: A Clinical Information System (CIS) Example. J. Medical Syst. 36 (2) (2012)
Ioannis M. Stephanakis, George C. Anastassopoulos
Scalable Object Encoding Using Multiplicative Multilinear Inter-camera Prediction in the Context of Free View 3D Video. AIAI (1) (2012)
Ioannis M. Stephanakis, George C. Anastassopoulos, Lazaros S. Iliadis
A Window-Based Self-Organizing Feature Map (SOFM) for Vector Filtering Segmentation of Color Medical Imagery. EANN/AIAI (1) (2011)
Dimitrios H. Mantzaris, George C. Anastassopoulos, Adam V. Adamopoulos
Genetic algorithm pruning of probabilistic neural networks in medical disease estimation. Neural Networks 24 (8) (2011)
Dimitrios H. Mantzaris, George C. Anastassopoulos, Lazaros S. Iliadis, Aggelos D. Tsalkidis, Adam V. Adamopoulos
A Probabilistic Neural Network for Assessment of the Vesicoureteral Reflux's Diagnostic Factors Validity. ICANN (1) (2010)
Dimitrios H. Mantzaris, George C. Anastassopoulos, Lazaros S. Iliadis, Konstantinos Kazakos, Harris Papadopoulos
A Soft Computing Approach for Osteoporosis Risk Factor Estimation. AIAI (2010)
Ioannis M. Stephanakis, George C. Anastassopoulos, Lazaros S. Iliadis
Color Segmentation Using Self-Organizing Feature Maps (SOFMs) Defined Upon Color and Spatial Image Space. ICANN (1) (2010)
Theodor Chris Panagiotakopoulos, Dimitrios P. Lyras, Miltos Livaditis, Kyriakos N. Sgarbas, George C. Anastassopoulos, Dimitrios K. Lymberopoulos
A contextual data mining approach toward assisting the treatment of anxiety disorders. IEEE Trans. Inf. Technol. Biomed. 14 (3) (2010)
Dimitrios H. Mantzaris, George C. Anastassopoulos, Lazaros S. Iliadis, Adam V. Adamopoulos
An Evolutionary Technique for Medical Diagnostic Risk Factors Selection. AIAI (2009)
George C. Anastassopoulos, Lazaros S. Iliadis
Intelligent hybrid modelling towards the prognosis of abdominal pain. Int. J. Hybrid Intell. Syst. 6 (4) (2009)
Adam V. Adamopoulos, Mirto Ntasi, Seferina Mavroudi, Spiros Likothanassis, Lazaros S. Iliadis, George C. Anastassopoulos
Revealing the Structure of Childhood Abdominal Pain Data and Supporting Diagnostic Decision Making. EANN (2009)
Dimitrios H. Mantzaris, George C. Anastassopoulos, Adam V. Adamopoulos, Stefanos Gardikis
A non-symbolic implementation of abdominal pain estimation in childhood. Inf. Sci. 178 (20) (2008)
Dimitrios H. Mantzaris, George C. Anastassopoulos, Dimitrios K. Lymberopoulos
Medical disease prediction using Artificial Neural Networks. BIBE (2008)
Dimitris K. Lymberopoulos, Kostas V. Spiropoulos, George C. Anastassopoulos, Stavros A. Kotsopoulos, Katerina G. Solomou
ELPIDA: a general architecture for medical imaging systems supporting telemedicine applications. J. Electronic Imaging 4 (1) (1995)
Dimitris K. Lymberopoulos, George C. Anastassopoulos, Minas Karatzoglou, George Kokkinakis
An homogeneous medical tele-working domain supported by a new remote expert consultation conferencing service. Eur. Trans. Telecommun. 5 (4) (1994)
Stavros A. Kotsopoulos, C. Spiropoulos, Dimitris K. Lymberopoulos, George C. Anastassopoulos, Giannis Garantziotis
A prototype user interface for medical multimedia application. CBMS (1994)