G. Anastassopoulos

发表

SEGMENTATION USING ADAPTIVE THRESHOLDING OF THE IMAGE HISTOGRAM ACCORDING TO THE INCREMENTAL RATES OF THE SEGMENT LIKELIHOOD FUNCTIONS

I. Stephanakis, G. Anastassopoulos, 2006 .

An Assessment of the Effectiveness and Efficiency of Information and Communication Technologies in the development of the Small and Medium Sized Enterprises (SMEs)

Christina Beneki, G. Anastassopoulos, A. Papadopoulos, 2009 .

Selective Clinical Estimation of Childhood Abdominal Pain based on Pruned Artificial Neural Networks

K. Kambouri, S. Gardikis, I. Stephanakis, 2007 .

A mapping of epilepsy’s evolution: implementation of the proposed knowledge based model

George C. Anastassopoulos, Mandani Ntekouli, Maria Marouli, 2018, Evol. Syst..

A radial-basis-function mixture model for automatic determination of fuzzy membership functions used in thresholding of medical imagery

I. Stephanakis, G. Anastassopoulos, 2005 .

Labour Productivity and Competitiveness: an Initial Examination of the Hotels and Restaurants Sector in Selected Countries

G. Anastassopoulos, 2004 .

ANN for prognosis of abdominal pain in childhood : use of fuzzy modelling for convergence estimation

L. Iliadis, G. Anastassopoulos, 2008 .

A Probabilistic Neural Network for Assessment of the Vesicoureteral Reflux's Diagnostic Factors Validity

Lazaros S. Iliadis, George C. Anastassopoulos, Adam V. Adamopoulos, 2010, ICANN.

Vesicoureteral reflux prognosis using artificial neural networks

G. Anastassopoulos, A. Adamopoulos, D. Mantzaris, 2005 .

ILIOU machine learning preprocessing method for depression type prediction

K. Assimakopoulos, G. Anastassopoulos, Mandani Ntekouli, 2017, Evolving Systems.

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

G. Tsekouras, A. Tamvakis, G. Anastassopoulos, 2016, Evolving Systems.

Design and Implementation of the Intensive Care Unit Quality Management Registry: Monitoring Quality and Cost of an Adult Intensive Care Unit in a Greek State Hospital

Dimitrios Kosmidis, Sotiria Koutsouki, Klairi Lampiri, 2017, Computers, informatics, nursing : CIN.

Eyelid basal cell carcinoma classification using shallow and deep learning artificial neural networks

Adam Adamopoulos, Efstathios Detorakis, George Anastassopoulos, 2021, Evolving Systems.

Identification of Eyelid Basal Cell Carcinoma Using Artificial Neural Networks

George C. Anastassopoulos, Adam V. Adamopoulos, Evagelos Georgios Chatzopoulos, 2020, EANN.

Genetic algorithm pruning of probabilistic neural networks in medical disease estimation

George C. Anastassopoulos, Adam V. Adamopoulos, Dimitrios H. Mantzaris, 2011, Neural Networks.

Prognostic significance of CD95, P53, and BCL2 expression in extranodal non-Hodgkin’s lymphoma

G. Anastassopoulos, N. Papadopoulos, I. Venizelos, 2010, Annals of Hematology.

Combined Classification of Risk Factors for Appendicitis Prediction in Childhood

Ioannis M. Stephanakis, Theodoros Iliou, George C. Anastassopoulos, 2013, EANN.

Mutual information algorithms for optimal attribute selection in data driven partitions of databases

Ioannis M. Stephanakis, Theodoros Iliou, George C. Anastassopoulos, 2018, Evolving Systems.

A Soft Computing Approach for Osteoporosis Risk Factor Estimation

Harris Papadopoulos, Lazaros S. Iliadis, George C. Anastassopoulos, 2010, AIAI.

Diagnostic Feature Extraction on Osteoporosis Clinical Data Using Genetic Algorithms

Harris Papadopoulos, George C. Anastassopoulos, Adam V. Adamopoulos, 2013, Artificial Intelligence Applications and Innovations.

A Contextual Data Mining Approach Toward Assisting the Treatment of Anxiety Disorders

George C. Anastassopoulos, Dimitrios P. Lyras, Kyriakos N. Sgarbas, 2010, IEEE Transactions on Information Technology in Biomedicine.

ANN for prognosis of abdominal pain in childhood : use of fuzzy modelling for convergence estimation

L. Iliadis, G. Anastassopoulos, 2008 .

MNE subsidiaries versus domestic enterprises: an analysis of their ownership and location-specific advantages

G. Anastassopoulos, 2003 .

An eclectic investigation of tourism multinationals: evidence from Greece.

P. Phillips, Fragkiskos Filippaios, G. Anastassopoulos, 2009 .

An 'eclectic' investigation of tourism multinationals' activities: Evidence from the Hotels and Hospitality Sector in Greece

P. Phillips, Fragkiskos Filippaios, G. Anastassopoulos, 2007 .

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

George C. Anastassopoulos, George E. Tsekouras, Christos Kalloniatis, 2016, Evolving Systems.

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

George C. Anastassopoulos, Georgios Konstantinidis, Emmanouil Anagnostou, 2012, Journal of Medical Systems.

Probabilistic Prediction for the Detection of Vesicoureteral Reflux

Harris Papadopoulos, George C. Anastassopoulos, G. Anastassopoulos, 2013, EANN.

Iliou Machine Learning Data Preprocessing Method for Stress Level Prediction

Ioannis M. Stephanakis, Theodoros Iliou, George C. Anastassopoulos, 2018, AIAI.

Classification of the most Significant Psychological Symptoms in Mental Patients with Depression using Bayesian Network

George C. Anastassopoulos, Georgia Konstantopoulou, Dimitrios K. Lymberopoulos, 2015, EANN '15.

AN EMPIRICAL STUDY OF SMALL AND MEDIUMSIZED ENTERPRISE INFORMATION COMMUNICATION TECHNOLOGIES (ICTS)

Avraam Papastathopoulos, George Anastassopoulos, Christina Beneki, 2010 .

Iliou Machine Learning Data Preprocessing Method for Suicide Prediction from Family History

Dimitrios Margounakis, Theodoros Iliou, George C. Anastassopoulos, 2019, AIAI.

Medical disease prediction using Artificial Neural Networks

George C. Anastassopoulos, Dimitrios K. Lymberopoulos, Dimitrios H. Mantzaris, 2008, 2008 8th IEEE International Conference on BioInformatics and BioEngineering.

Cost evaluation in adult ICU: α two-year study in a Greek State Hospital

G. Anastassopoulos, D. Kosmidis, V. Papaioannou, 2021 .

Machine Learning Preprocessing Method for Suicide Prediction

Theodoros Iliou, George C. Anastassopoulos, Mandani Ntekouli, 2016, AIAI.

A novel data preprocessing method for boosting neural network performance: A case study in osteoporosis prediction

Ioannis M. Stephanakis, Theodoros Iliou, George C. Anastassopoulos, 2017, Inf. Sci..

Profitability differences between MNE subsidiaries and domestic firms: The case of the food industry in Greece

G. Anastassopoulos, 2004 .

A Novel Machine Learning Data Preprocessing Method for Enhancing Classification Algorithms Performance

Theodoros Iliou, George C. Anastassopoulos, Christos-Nikolaos Anagnostopoulos, 2015, EANN '15.

Classification of Psychosomatic’s Symptoms of Depression: Iliou Versus PCA Preprocessing Methods

Jonathan Rodriguez, Theodoros Iliou, Dimitrios Lymberopoulos, 2020, 2020 IEEE 25th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD).

A non-symbolic implementation of abdominal pain estimation in childhood

George C. Anastassopoulos, Adam V. Adamopoulos, Dimitrios H. Mantzaris, 2008, Inf. Sci..

Abdominal Pain Estimation in Childhood based on Artificial Neural Network Classification

Adam Adamopoulos, Stefanos Gardikis, George Anastassopoulos, 2007 .

ILIOU machine learning preprocessing method for depression type prediction

Theodoros Iliou, George C. Anastassopoulos, Mandani Ntekouli, 2019, Evol. Syst..

A mapping of epilepsy’s evolution: implementation of the proposed knowledge based model

G. Anastassopoulos, P. Polychronopoulos, Mandani Ntekouli, 2017, Evolutionary Systematics.

An Implementation of a Decision-Making Algorithm Based on a Novel Health Status Transition Model of Epilepsy

George C. Anastassopoulos, Mandani Ntekouli, Maria Marouli, 2016, AIAI.

Osteoporosis Detection Using Machine Learning Techniques and Feature Selection

Theodoros Iliou, George C. Anastassopoulos, Christos-Nikolaos Anagnostopoulos, 2014, Int. J. Artif. Intell. Tools.

COUNTRIES ’ INTERNATIONAL COMPETITIVENESS AND FDI : AN EMPIRICAL ANALYSIS OF SELECTED EU MEMBER-COUNTRIES AND REGIONS 1

G. Anastassopoulos, 2008 .

Optimizing voting classification using cluster analysis on medical diagnosis data

George C. Anastassopoulos, George E. Tsekouras, Christos-Nikolaos Anagnostopoulos, 2015, EANN '15.