Adam V. Adamopoulos

According to our database, Adam V. Adamopoulos authored at least 22 papers between 1998 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

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

Adam V. Adamopoulos, Evaggelos Georgios Chatzopoulos, George C. Anastassopoulos, Efstathios Detorakis

Evol. Syst., 2021

2020

Identification of Eyelid Basal Cell Carcinoma Using Artificial Neural Networks.

Evagelos Georgios Chatzopoulos, George C. Anastassopoulos, Efstathios Detorakis, Adam V. Adamopoulos

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

2013

Diagnostic Feature Extraction on Osteoporosis Clinical Data Using Genetic Algorithms.

George C. Anastassopoulos, Adam V. Adamopoulos, Georgios Drosos, Konstantinos Kazakos, Harris Papadopoulos

Proceedings of the Artificial Intelligence Applications and Innovations, 2013

Feature Extraction of Osteoporosis Risk Factors using Artificial Neural Networks and Genetic Algorithms.

George C. Anastassopoulos, Adam V. Adamopoulos, Dimitrios Galiatsatos, Georgios Drosos

Proceedings of the Informatics, 2013

2012

Emulation and complementarity in one-dimensional alternatives of the axelrod model with binary features.

Adam V. Adamopoulos, Stylianos Scarlatos

Complex., 2012

Behavior of Social Dynamical Models II: Clustering for Some Multitype Particle Systems with Confidence Threshold.

Adam V. Adamopoulos, Stylianos Scarlatos

Proceedings of the Cellular Automata, 2012

2011

Genetic algorithm pruning of probabilistic neural networks in medical disease estimation.

Dimitrios H. Mantzaris, George C. Anastassopoulos, Adam V. Adamopoulos

Neural Networks, 2011

Mathematical Models of Dynamic Behavior of Individual Neural Networks of Central Nervous System.

Dimitra-Despoina Pagania, Adam V. Adamopoulos, Spiridon D. Likothanassis

Proceedings of the Engineering Applications of Neural Networks, 2011

2010

Evolving cellular automata rules for multiple-step-ahead prediction of complex binary sequences.

Adam V. Adamopoulos, Nicos G. Pavlidis, Michael N. Vrahatis

Math. Comput. Model., 2010

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

Dimitrios H. Mantzaris, George C. Anastassopoulos, Lazaros S. Iliadis, Aggelos D. Tsalkidis, Adam V. Adamopoulos

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009

An Evolutionary Technique for Medical Diagnostic Risk Factors Selection.

Dimitrios H. Mantzaris, George C. Anastassopoulos, Lazaros S. Iliadis, Adam V. Adamopoulos

Proceedings of the Artificial Intelligence Applications and Innovations III, 2009

Revealing the Structure of Childhood Abdominal Pain Data and Supporting Diagnostic Decision Making.

Adam V. Adamopoulos, Mirto Ntasi, Seferina Mavroudi, Spiros Likothanassis, Lazaros S. Iliadis, George C. Anastassopoulos

Proceedings of the Engineering Applications of Neural Networks, 2009

2008

A non-symbolic implementation of abdominal pain estimation in childhood.

Dimitrios H. Mantzaris, George C. Anastassopoulos, Adam V. Adamopoulos, Stefanos Gardikis

Inf. Sci., 2008

A Genetic Programming Environment for System Modeling.

Efstratios F. Georgopoulos, George P. Zarogiannis, Adam V. Adamopoulos, Anastasios P. Vassilopoulos, Spiridon D. Likothanassis

Proceedings of the Artificial Intelligence: Theories, 2008

Genetic Programming Modeling and Complexity Analysis of the Magnetoencephalogram of Epileptic Patients.

Efstratios F. Georgopoulos, Adam V. Adamopoulos, Spiridon D. Likothanassis

Proceedings of the Information Systems Development, 2008

2004

An Intelligent Tool for Bio-magnetic Signal Processing.

Lambros V. Skarlas, Adam V. Adamopoulos, Stratos Georgopoulos, Spiridon D. Likothanassis

Proceedings of the Methods and Applications of Artificial Intelligence, 2004

2002

Analysis of epileptic magnetoencephalogram dynamics through clustering algorithms.

Adam V. Adamopoulos, Basilis Boutsinas, Michael N. Vrahatis, Photios A. Anninos

Proceedings of the 14th International Conference on Digital Signal Processing, 2002

Evolutionary self-adaptive multimodel prediction algorithms of the fetal magnetocardiogram.

Adam V. Adamopoulos, Photios A. Anninos, Spiridon D. Likothanassis, Grigorios N. Beligiannis, Lambros V. Skarlas, Elias N. Demiris, D. Papadopoulos

Proceedings of the 14th International Conference on Digital Signal Processing, 2002

2000

Structure determination and training of neural networks using evolution programs.

Spiridon D. Likothanassis, Efstratios F. Georgopoulos, Adam V. Adamopoulos

Neural Parallel Sci. Comput., 2000

1999

Forecasting the MagnetoEncephaloGram (MEG) of Epileptic Patients Using Genetically Optimized Neural Networks.

Adam V. Adamopoulos, Efstratios F. Georgopoulos, Spiridon D. Likothanassis, Photios A. Anninos

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

1998

An Evolutionary Method for System Structure Identification Using Neural Networks.

Spiridon D. Likothanassis, Efstratios F. Georgopoulos, George D. Manioudakis, Adam V. Adamopoulos

Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998

A feature extractor of seismic data using genetic algorithms.

Adam V. Adamopoulos, Spiridon D. Likothanassis, Efstratios F. Georgopoulos

Proceedings of the 9th European Signal Processing Conference, 1998