George C. Anastassopoulos

45 papers B 1C 6Misc 9Journal 18Unranked 11
YearRankTypeTitle / Venue / Authors
2024 — conf
Advanced Mortality Prediction in Adult ICU: Introducing a Deep Learning Approach in Healthcare.
AIAI (1)
Dimitrios Simopoulos, Dimitrios Kosmidis, Sotiria Koutsouki, Nicolas Bonnotte, George C. Anastassopoulos
2023 C conf
Subsampled Dataset Challenges and Machine Learning Techniques in Table Tennis.
EANN
Dimitrios Simopoulos, Andreas Nikolakakis, George C. Anastassopoulos
2023 J jnl
Vesicoureteral Reflux Detection with Reliable Probabilistic Outputs.
CoRR
Harris Papadopoulos, George C. Anastassopoulos
2021 J jnl
Eyelid basal cell carcinoma classification using shallow and deep learning artificial neural networks.
Evol. Syst.
Adam V. Adamopoulos, Evaggelos Georgios Chatzopoulos, George C. Anastassopoulos, Efstathios Detorakis
2020 — conf
Classification of Psychosomatic's Symptoms of Depression: Iliou Versus PCA Preprocessing Methods.
CAMAD
Theodoros Iliou, Georgia Konstantopoulou, Konstantinos Anastasopoulos, Christina Lymperopoulou, Georgios Mantas, Jonathan Rodriguez, Dimitrios K. Lymberopoulos, George C. Anastassopoulos
2020 C conf
Identification of Eyelid Basal Cell Carcinoma Using Artificial Neural Networks.
EANN
Evagelos Georgios Chatzopoulos, George C. Anastassopoulos, Efstathios Detorakis, Adam V. Adamopoulos
2020 J jnl
Mutual information algorithms for optimal attribute selection in data driven partitions of databases.
Evol. Syst.
Ioannis M. Stephanakis, Theodoros Iliou, George C. Anastassopoulos
2019 J jnl
ILIOU machine learning preprocessing method for depression type prediction.
Evol. Syst.
Theodoros Iliou, Georgia Konstantopoulou, Mandani Ntekouli, Christina Lymperopoulou, Konstantinos Assimakopoulos, Dimitrios Galiatsatos, George C. Anastassopoulos
2019 Misc conf
Iliou Machine Learning Data Preprocessing Method for Suicide Prediction from Family History.
AIAI
Theodoros Iliou, Georgia Konstantopoulou, Christina Lymperopoulou, Konstantinos Anastasopoulos, George C. Anastassopoulos, Dimitrios Margounakis, Dimitrios K. Lymberopoulos
2018 J jnl
A Trust Model for Ubiquitous Healthcare Environment on the Basis of Adaptable Fuzzy-Probabilistic Inference System.
IEEE J. Biomed. Health Informatics
Georgia N. Athanasiou, George C. Anastassopoulos, Eleni Tiritidou, Dimitrios K. Lymberopoulos
2018 J jnl
A mapping of epilepsy's evolution: implementation of the proposed knowledge based model.
Evol. Syst.
Mandani Ntekouli, Maria Marouli, Georgia Konstantopoulou, George C. Anastassopoulos, Dimitrios K. Lymberopoulos, Panagiotis Polychronopoulos, John Ellul
2018 Misc conf
Iliou Machine Learning Data Preprocessing Method for Stress Level Prediction.
AIAI
Theodoros Iliou, Georgia Konstantopoulou, Ioannis M. Stephanakis, Konstantinos Anastasopoulos, Dimitrios K. Lymberopoulos, George C. Anastassopoulos
2017 J jnl
A methodology to carry out voting classification tasks using a particle swarm optimization-based neuro-fuzzy competitive learning network.
Evol. Syst.
Androniki Tamvakis, George E. Tsekouras, Anastasios Rigos, Christos Kalloniatis, Christos-Nikolaos Anagnostopoulos, George C. Anastassopoulos
2017 J jnl
A novel data preprocessing method for boosting neural network performance: A case study in osteoporosis prediction.
Inf. Sci.
Theodoros Iliou, Christos-Nikolaos Anagnostopoulos, Ioannis M. Stephanakis, George C. Anastassopoulos
2017 C conf
Information Feature Selection: Using Local Attribute Selections to Represent Connected Distributions in Complex Datasets.
EANN
Ioannis M. Stephanakis, Theodoros Iliou, George C. Anastassopoulos
2016 Misc conf
An Implementation of a Decision-Making Algorithm Based on a Novel Health Status Transition Model of Epilepsy.
AIAI
Mandani Ntekouli, Maria Marouli, Georgia Konstantopoulou, George C. Anastassopoulos, Dimitrios Lymperopoulos
2016 Misc conf
Machine Learning Preprocessing Method for Suicide Prediction.
AIAI
Theodoros Iliou, Georgia Konstantopoulou, Mandani Ntekouli, Dimitrios K. Lymberopoulos, Konstantinos Assimakopoulos, Dimitrios Galiatsatos, George C. Anastassopoulos
2015 — conf
A Novel Machine Learning Data Preprocessing Method for Enhancing Classification Algorithms Performance.
EANN Workshops
Theodoros Iliou, Christos-Nikolaos Anagnostopoulos, Marina Nerantzaki, George C. Anastassopoulos
2015 — conf
Classification of the most Significant Psychological Symptoms in Mental Patients with Depression using Bayesian Network.
EANN Workshops
Dimitrios Galiatsatos, Georgia Konstantopoulou, George C. Anastassopoulos, Marina Nerantzaki, Konstantinos Assimakopoulos, Dimitrios K. Lymberopoulos
2015 — conf
Optimizing voting classification using cluster analysis on medical diagnosis data.
EANN Workshops
Androniki Tamvakis, Christos-Nikolaos Anagnostopoulos, George E. Tsekouras, George C. Anastassopoulos
2015 J jnl
Vesicoureteral reflux detection with reliable probabilistic outputs.
Inf. Sci.
Harris Papadopoulos, George C. Anastassopoulos
2014 J jnl
Osteoporosis Detection Using Machine Learning Techniques and Feature Selection.
Int. J. Artif. Intell. Tools
Theodoros Iliou, Christos-Nikolaos Anagnostopoulos, George C. Anastassopoulos
2014 Misc conf
Prediction of 30-Day Mortality after a Hip Fracture Surgery Using Neural and Bayesian Networks.
AIAI
Dimitrios Galiatsatos, George C. Anastassopoulos, Georgios Drosos, Athanasios Ververidis, Konstantinos Tilkeridis, Konstantinos Kazakos
2013 Misc conf
A Novel Rate-Distortion Method in 3D Video Capturing in the Context of High Efficiency Video Coding (HEVC) in Intelligent Communications.
AIAI
Ioannis M. Stephanakis, Ioannis P. Chochliouros, Anastasios Dagiuklas, George C. Anastassopoulos
2013 J jnl
A Self-Organizing Feature Map (SOFM) model based on aggregate-ordering of local color vectors according to block similarity measures.
Neurocomputing
Ioannis M. Stephanakis, George C. Anastassopoulos, Lazaros S. Iliadis
2013 — conf
Combined Classification of Risk Factors for Appendicitis Prediction in Childhood.
EANN (2)
Theodoros Iliou, Christos-Nikolaos Anagnostopoulos, Ioannis M. Stephanakis, George C. Anastassopoulos
2013 Misc conf
Diagnostic Feature Extraction on Osteoporosis Clinical Data Using Genetic Algorithms.
AIAI
George C. Anastassopoulos, Adam V. Adamopoulos, Georgios Drosos, Konstantinos Kazakos, Harris Papadopoulos
2013 — conf
Feature Extraction of Osteoporosis Risk Factors using Artificial Neural Networks and Genetic Algorithms.
ICIMTH
George C. Anastassopoulos, Adam V. Adamopoulos, Dimitrios Galiatsatos, Georgios Drosos
2013 — conf
Probabilistic Prediction for the Detection of Vesicoureteral Reflux.
EANN (1)
Harris Papadopoulos, George C. Anastassopoulos
2012 J jnl
A User-Centered, Object-Oriented Methodology for Developing Health Information Systems: A Clinical Information System (CIS) Example.
J. Medical Syst.
Georgios Konstantinidis, George C. Anastassopoulos, Alexandros S. Karakos, Emmanouil Anagnostou, Vasileios Danielides
2012 — conf
Scalable Object Encoding Using Multiplicative Multilinear Inter-camera Prediction in the Context of Free View 3D Video.
AIAI (1)
Ioannis M. Stephanakis, George C. Anastassopoulos
2011 C conf
A Window-Based Self-Organizing Feature Map (SOFM) for Vector Filtering Segmentation of Color Medical Imagery.
EANN
Ioannis M. Stephanakis, George C. Anastassopoulos, Lazaros S. Iliadis
2011 J jnl
Genetic algorithm pruning of probabilistic neural networks in medical disease estimation.
Neural Networks
Dimitrios H. Mantzaris, George C. Anastassopoulos, Adam V. Adamopoulos
2010 — conf
A Probabilistic Neural Network for Assessment of the Vesicoureteral Reflux's Diagnostic Factors Validity.
ICANN (1)
Dimitrios H. Mantzaris, George C. Anastassopoulos, Lazaros S. Iliadis, Aggelos D. Tsalkidis, Adam V. Adamopoulos
2010 Misc conf
A Soft Computing Approach for Osteoporosis Risk Factor Estimation.
AIAI
Dimitrios H. Mantzaris, George C. Anastassopoulos, Lazaros S. Iliadis, Konstantinos Kazakos, Harris Papadopoulos
2010 J jnl
A contextual data mining approach toward assisting the treatment of anxiety disorders.
IEEE Trans. Inf. Technol. Biomed.
Theodor Chris Panagiotakopoulos, Dimitrios P. Lyras, Miltos Livaditis, Kyriakos N. Sgarbas, George C. Anastassopoulos, Dimitrios K. Lymberopoulos
2010 — conf
Color Segmentation Using Self-Organizing Feature Maps (SOFMs) Defined Upon Color and Spatial Image Space.
ICANN (1)
Ioannis M. Stephanakis, George C. Anastassopoulos, Lazaros S. Iliadis
2009 Misc conf
An Evolutionary Technique for Medical Diagnostic Risk Factors Selection.
AIAI
Dimitrios H. Mantzaris, George C. Anastassopoulos, Lazaros S. Iliadis, Adam V. Adamopoulos
2009 J jnl
Intelligent hybrid modelling towards the prognosis of abdominal pain.
Int. J. Hybrid Intell. Syst.
George C. Anastassopoulos, Lazaros S. Iliadis
2009 C conf
Revealing the Structure of Childhood Abdominal Pain Data and Supporting Diagnostic Decision Making.
EANN
Adam V. Adamopoulos, Mirto Ntasi, Seferina Mavroudi, Spiros Likothanassis, Lazaros S. Iliadis, George C. Anastassopoulos
2008 J jnl
A non-symbolic implementation of abdominal pain estimation in childhood.
Inf. Sci.
Dimitrios H. Mantzaris, George C. Anastassopoulos, Adam V. Adamopoulos, Stefanos Gardikis
2008 C conf
Medical disease prediction using Artificial Neural Networks.
BIBE
Dimitrios H. Mantzaris, George C. Anastassopoulos, Dimitrios K. Lymberopoulos
1995 J jnl
ELPIDA: a general architecture for medical imaging systems supporting telemedicine applications.
J. Electronic Imaging
Dimitris K. Lymberopoulos, Kostas V. Spiropoulos, George C. Anastassopoulos, Stavros A. Kotsopoulos, Katerina G. Solomou
1994 B conf
A prototype user interface for medical multimedia application.
CBMS
Stavros A. Kotsopoulos, C. Spiropoulos, Dimitris K. Lymberopoulos, George C. Anastassopoulos, Giannis Garantziotis
1994 J jnl
An homogeneous medical tele-working domain supported by a new remote expert consultation conferencing service.
Eur. Trans. Telecommun.
Dimitris K. Lymberopoulos, George C. Anastassopoulos, Minas Karatzoglou, George Kokkinakis