| Finding all roots of 2 × 2 nonlinear algebraic systems using back-propagation neural networks A Margaris, K Goulianas Neural Computing and Applications 21, 891-904, 2012 | 18 | 2012 |
| Finding all real roots of 3× 3 nonlinear algebraic systems using neural networks K Goulianas, A Margaris, M Adamopoulos Applied Mathematics and Computation 219 (9), 4444-4464, 2013 | 9 | 2013 |
| Solving polynomial systems using a fast adaptive back propagation-type neural network algorithm K Goulianas, A Margaris, I Refanidis, K DIAMANTARAS European Journal of Applied Mathematics 29 (2), 301-337, 2018 | 7 | 2018 |
| A Back Propagation-Type Neural Network Architecture for Solving the Complete nxn Nonlinear Algebraic System of Equations K Goulianas, A Margaris, I Refanidis, KI Diamantaras, T Papadimitriou Advances in Pure Mathematics, 2016 | 6 | 2016 |
| Artificial neural networks and iterative linear algebra methods KG Margaritis, M Adamopoulos, K Goulianas, DJ Evans PARALLEL ALGORITHM AND APPLICATIONS 3 (1-2), 31-44, 1994 | 5 | 1994 |
| Predicting the onset of dementia in initially healthy individuals using demographic and clinical data N Ntampakis, K Diamantaras, K Goulianas, I Chouvarda 2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering …, 2023 | 3 | 2023 |
| An adaptive learning rate backpropagation‐type neural network for solving n × n systems on nonlinear algebraic equations K Goulianas, A Margaris, I Refanidis, K Diamantaras Mathematical Methods in the Applied Sciences 39 (10), 2602-2616, 2016 | 3 | 2016 |
| Using Self-organizing Maps to Solve the Travelling Salesman Problem: A Review S Sarikyriakidis, K Goulianas, AI Margaris WSEAS transactions on systems 22, 131-159, 2023 | 2 | 2023 |
| Neuroevolution Strategy for Time Series Prediction G Naskos, K Goulianas, A Margaris Journal of Applied Mathematics and Physics 8 (06), 1047, 2020 | 1 | 2020 |
| Structured artificial neural networks for fast batch LMS algorithms K Goulianas, M Adamopoulos, KG Margaritis NEURAL PARALLEL AND SCIENTIFIC COMPUTATIIONS 5, 549-502, 1997 | 1 | 1997 |
| On multi-property set operations using neural networks and systolic arrays KG Margaritis, K Goulianas, M Adamopoulos, KK Tsouros, DJ Evans Neural, Parallel & Scientific Computations 3 (1), 1-13, 1995 | 1 | 1995 |
| Optimizing Melanoma Prognosis Through Synergistic Preprocessing and Deep Learning Architecture for Dermoscopic Thickness Prediction N Ntampakis, K Diamantaras, K Goulianas, I Chouvarda, V Argyriou, ... Annual Conference on Medical Image Understanding and Analysis, 323-335, 2024 | | 2024 |
| Introducing SPINE: a holistic approach to synthetic pulmonary imaging evaluation through end-to-end data and model management N Ntampakis, V Argyriou, K Diamantaras, K Goulianas, P Sarigiannidis, ... IEEE Open Journal of Engineering in Medicine and Biology, 2024 | | 2024 |
| Estimating 2‐cycle fixed points of henon map using backpropagation neural networks A Margaris, K Goulianas, K Diamantaras, T Papadimitriou Mathematical Methods in the Applied Sciences 38 (2), 263-273, 2015 | | 2015 |
| Analyzing data into quantized components K Diamantaras, T Papadimitriou, K Goulianas 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | | 2014 |
| Linear neural network training algorithms for real-world benchmark problems K Goulianas, M Adamopoulos, S Katsavounis, C Fragakis, CC Tsouros International journal of computer mathematics 79 (11), 1149-1167, 2002 | | 2002 |
