A feature extractor of seismic data using genetic algorithms. - Adam V. Adamopoulos; Spiridon D. Likothanassis; Efstratios F. Georgopoulos (EUSIPCO, 1998)

An Evolutionary Method for System Structure Identification Using Neural Networks. - Spiridon D. Likothanassis; Efstratios F. Georgopoulos; George D. Manioudakis; Adam V. Adamopoulos (NC, 1998)

Forecasting the MagnetoEncephaloGram (MEG) of Epileptic Patients Using Genetically Optimized Neural Networks. - Adam V. Adamopoulos; Efstratios F. Georgopoulos; Spiridon D. Likothanassis; Photios A. Anninos (GECCO, 1999)

Structure determination and training of neural networks using evolution programs. - Spiridon D. Likothanassis; Efstratios F. Georgopoulos; Adam V. Adamopoulos (Neural Parallel Sci. Comput., 2000)

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 (DSP, 2002)

Analysis of epileptic magnetoencephalogram dynamics through clustering algorithms. - Adam V. Adamopoulos; Basilis Boutsinas; Michael N. Vrahatis; Photios A. Anninos (DSP, 2002)

An Intelligent Tool for Bio-magnetic Signal Processing. - Lambros V. Skarlas; Adam V. Adamopoulos; Stratos Georgopoulos; Spiridon D. Likothanassis (SETN, 2004)

Genetic Programming Modeling and Complexity Analysis of the Magnetoencephalogram of Epileptic Patients. - Efstratios F. Georgopoulos; Adam V. Adamopoulos; Spiridon D. Likothanassis (ISD, 2008)

A Genetic Programming Environment for System Modeling. - Efstratios F. Georgopoulos; George P. Zarogiannis; Adam V. Adamopoulos; Anastasios P. Vassilopoulos; Spiridon D. Likothanassis (SETN, 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)

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 (EANN, 2009)

An Evolutionary Technique for Medical Diagnostic Risk Factors Selection. - Dimitrios H. Mantzaris; George C. Anastassopoulos; Lazaros S. Iliadis; Adam V. Adamopoulos (AIAI, 2009)

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 (ICANN (1), 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)

Mathematical Models of Dynamic Behavior of Individual Neural Networks of Central Nervous System. - Dimitra-Despoina Pagania; Adam V. Adamopoulos; Spiridon D. Likothanassis (EANN, 2011)

Genetic algorithm pruning of probabilistic neural networks in medical disease estimation. - Dimitrios H. Mantzaris; George C. Anastassopoulos; Adam V. Adamopoulos (Neural Networks, 2011)

Behavior of Social Dynamical Models II: Clustering for Some Multitype Particle Systems with Confidence Threshold. - Adam V. Adamopoulos; Stylianos Scarlatos (ACRI, 2012)

Emulation and complementarity in one-dimensional alternatives of the axelrod model with binary features. - Adam V. Adamopoulos; Stylianos Scarlatos (Complex., 2012)

Feature Extraction of Osteoporosis Risk Factors using Artificial Neural Networks and Genetic Algorithms. - George C. Anastassopoulos; Adam V. Adamopoulos; Dimitrios Galiatsatos; Georgios Drosos (ICIMTH, 2013)

Diagnostic Feature Extraction on Osteoporosis Clinical Data Using Genetic Algorithms. - George C. Anastassopoulos; Adam V. Adamopoulos; Georgios Drosos; Konstantinos Kazakos; Harris Papadopoulos (AIAI, 2013)

Identification of Eyelid Basal Cell Carcinoma Using Artificial Neural Networks. - Evagelos Georgios Chatzopoulos; George C. Anastassopoulos; Efstathios Detorakis; Adam V. Adamopoulos (EANN, 2020)

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)

Hybrid Machine Learning Algorithms to Evaluate Prostate Cancer. - Dimitrios Morakis; Adam V. Adamopoulos (Algorithms, 2024)