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ORCIDGeorge C. Anastassopoulos
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- affiliation: Democritus University of Thrace, Greece
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2020 – today
- 2024
[c29]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: 17-30- 2023
- [c28]Dimitrios Simopoulos
, Andreas Nikolakakis, George C. Anastassopoulos:
Subsampled Dataset Challenges and Machine Learning Techniques in Table Tennis. EANN 2023: 548-557 - [i1]Harris Papadopoulos, George C. Anastassopoulos:
Vesicoureteral Reflux Detection with Reliable Probabilistic Outputs. CoRR abs/2312.11355 (2023) - 2021
- [j18]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): 583-590 (2021) - 2020
- [j17]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): 517-529 (2020) - [c27]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: 1-5 - [c26]Evagelos Georgios Chatzopoulos, George C. Anastassopoulos, Efstathios Detorakis, Adam V. Adamopoulos:
Identification of Eyelid Basal Cell Carcinoma Using Artificial Neural Networks. EANN 2020: 389-396
2010 – 2019
- 2019
- [j16]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): 29-39 (2019) - [c25]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: 512-519 - 2018
- [j15]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): 299-313 (2018) - [j14]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): 1288-1298 (2018) - [c24]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: 351-361 - 2017
- [j13]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) - [j12]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: 92-100 (2017) - [c23]Ioannis M. Stephanakis, Theodoros Iliou, George C. Anastassopoulos:
Information Feature Selection: Using Local Attribute Selections to Represent Connected Distributions in Complex Datasets. EANN 2017: 441-450 - 2016
- [c22]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: 27-38 - [c21]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: 53-60 - 2015
- [j11]Dimitris Ioannidis, Georgios E. Papadopoulos, Georgios C. Anastassopoulos, Alexandros Kortsaris, Konstantinos P. Anagnostopoulos:
Structural properties and interaction energies affecting drug design. An approach combining molecular simulations, statistics, interaction energies and neural networks. Comput. Biol. Chem. 56: 7-12 (2015) - [j10]Harris Papadopoulos, George C. Anastassopoulos:
Vesicoureteral reflux detection with reliable probabilistic outputs. Inf. Sci. 308: 113-124 (2015) - [c20]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: 11:1-11:5 - [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]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: 15:1-15:8 - 2014
- [j9]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) - [c17]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: 566-575 - 2013
- [j8]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: 97-107 (2013) - [c16]Theodoros Iliou, Christos-Nikolaos Anagnostopoulos, Ioannis M. Stephanakis, George C. Anastassopoulos:
Combined Classification of Risk Factors for Appendicitis Prediction in Childhood. EANN (2) 2013: 203-211 - [c15]Harris Papadopoulos, George C. Anastassopoulos:
Probabilistic Prediction for the Detection of Vesicoureteral Reflux. EANN (1) 2013: 253-262 - [c14]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: 186-188 - [c13]George C. Anastassopoulos, Adam V. Adamopoulos, Georgios Drosos, Konstantinos Kazakos, Harris Papadopoulos:
Diagnostic Feature Extraction on Osteoporosis Clinical Data Using Genetic Algorithms. AIAI 2013: 302-310 - [c12]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: 462-473 - 2012
- [j7]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): 437-450 (2012) - [c11]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: 414-424 - 2011
- [j6]Dimitrios H. Mantzaris, George C. Anastassopoulos, Adam V. Adamopoulos:
Genetic algorithm pruning of probabilistic neural networks in medical disease estimation. Neural Networks 24(8): 831-835 (2011) - [c10]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: 90-100 - 2010
- [j5]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): 567-581 (2010) - [c9]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: 241-250 - [c8]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: 500-510 - [c7]Dimitrios H. Mantzaris, George C. Anastassopoulos, Lazaros S. Iliadis, Konstantinos Kazakos, Harris Papadopoulos:
A Soft Computing Approach for Osteoporosis Risk Factor Estimation. AIAI 2010: 120-127
2000 – 2009
- 2009
- [j4]George C. Anastassopoulos, Lazaros S. Iliadis:
Intelligent hybrid modelling towards the prognosis of abdominal pain. Int. J. Hybrid Intell. Syst. 6(4): 245-255 (2009) - [c6]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: 165-177 - [c5]Dimitrios H. Mantzaris, George C. Anastassopoulos, Lazaros S. Iliadis, Adam V. Adamopoulos:
An Evolutionary Technique for Medical Diagnostic Risk Factors Selection. AIAI 2009: 195-203 - 2008
- [j3]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): 3860-3866 (2008) - [c4]Dimitrios H. Mantzaris, George C. Anastassopoulos, Dimitrios K. Lymberopoulos:
Medical disease prediction using Artificial Neural Networks. BIBE 2008: 1-6 - 2002
- [c3]George K. Anastassopoulos, Aggelos D. Tsalkidis, Ioannis M. Stephanakis, George J. Mandellos, Konstantinos Simopoulos:
Application of JPEG 2000 compression in medical database image data. DSP 2002: 539-542 - [c2]Ioannis M. Stephanakis, George K. Anastassopoulos, Aggelos D. Tsalkidis:
Multiresolution autoregressive filtering for pneumonia detection in medical images. DSP 2002: 1157-1159
1990 – 1999
- 1995
- [j2]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): 84-97 (1995) - 1994
- [j1]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): 495-508 (1994) - [c1]Stavros A. Kotsopoulos, C. Spiropoulos, Dimitris K. Lymberopoulos, George C. Anastassopoulos, Giannis Garantziotis:
A prototype user interface for medical multimedia application. CBMS 1994: 247-251
Coauthor Index
aka: Christos-Nikolaos Anagnostopoulos
aka: Dimitris K. Lymberopoulos
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