| Time series sales forecasting for short shelf-life food products based on artificial neural networks and evolutionary computing P Doganis, A Alexandridis, P Patrinos, H Sarimveis Journal of Food Engineering 75 (2), 196-204, 2006 | 266 | 2006 |
| A cellular automata model for forest fire spread prediction: The case of the wildfire that swept through Spetses Island in 1990 A Alexandridis, D Vakalis, CI Siettos, GV Bafas Applied Mathematics and Computation 204 (1), 191-201, 2008 | 213 | 2008 |
| A new algorithm for online structure and parameter adaptation of RBF networks A Alexandridis, H Sarimveis, G Bafas Neural Networks 16 (7), 1003-1017, 2003 | 138 | 2003 |
| A fast and efficient algorithm for training radial basis function neural networks based on a fuzzy partition of the input space H Sarimveis, A Alexandridis, G Tsekouras, G Bafas Industrial & engineering chemistry research 41 (4), 751-759, 2002 | 138 | 2002 |
| A new algorithm for developing dynamic radial basis function neural network models based on genetic algorithms H Sarimveis, A Alexandridis, S Mazarakis, G Bafas Computers & chemical engineering 28 (1-2), 209-217, 2004 | 119 | 2004 |
| Radial basis function network training using a nonsymmetric partition of the input space and particle swarm optimization A Alexandridis, E Chondrodima, H Sarimveis IEEE Transactions on Neural Networks and Learning Systems 24 (2), 219-230, 2012 | 118 | 2012 |
| A GIS based operational system for wildland fire crisis management I. Mathematical modelling and simulation D Vakalis, H Sarimveis, C Kiranoudis, A Alexandridis, G Bafas Applied Mathematical Modelling 28 (4), 389-410, 2004 | 115 | 2004 |
| Prediction of high weight polymers glass transition temperature using RBF neural networks A Afantitis, G Melagraki, K Makridima, A Alexandridis, H Sarimveis, ... Journal of molecular structure: THEOCHEM 716 (1-3), 193-198, 2005 | 106 | 2005 |
| A two-stage evolutionary algorithm for variable selection in the development of RBF neural network models A Alexandridis, P Patrinos, H Sarimveis, G Tsekouras Chemometrics and intelligent laboratory systems 75 (2), 149-162, 2005 | 102 | 2005 |
| A fast training algorithm for RBF networks based on subtractive clustering H Sarimveis, A Alexandridis, G Bafas Neurocomputing 51, 501-505, 2003 | 101 | 2003 |
| Discussion on:“Power Flow Control of a Doubly-Fed Induction Machine Coupled to a Flywheel” A Alexandridis, L Russo, CI Siettos European Journal of Control 11 (3), 222-224, 2005 | 92* | 2005 |
| A classification technique based on radial basis function neural networks H Sarimveis, P Doganis, A Alexandridis Advances in Engineering Software 37 (4), 218-221, 2006 | 87 | 2006 |
| A neural network approach for the correlation of exhaust emissions from a diesel engine with diesel fuel properties D Karonis, E Lois, F Zannikos, A Alexandridis, H Sarimveis Energy & fuels 17 (5), 1259-1265, 2003 | 78 | 2003 |
| Wind turbine power curve modeling using radial basis function neural networks and tabu search D Karamichailidou, V Kaloutsa, A Alexandridis Renewable Energy 163, 2137-2152, 2021 | 67 | 2021 |
| Evolving RBF neural networks for adaptive soft-sensor design A Alexandridis International journal of neural systems 23 (06), 1350029, 2013 | 65 | 2013 |
| Cooperative learning for radial basis function networks using particle swarm optimization A Alexandridis, E Chondrodima, H Sarimveis Applied Soft Computing 49, 485-497, 2016 | 63 | 2016 |
| Wildland fire spread modelling using cellular automata: evolution in large-scale spatially heterogeneous environments under fire suppression tactics A Alexandridis, L Russo, D Vakalis, GV Bafas, CI Siettos International Journal of Wildland Fire 20 (5), 633-647, 2011 | 61 | 2011 |
| A neural network approach to the prediction of diesel fuel lubricity DM Korres, G Anastopoulos, E Lois, A Alexandridis, H Sarimveis, G Bafas Fuel 81 (10), 1243-1250, 2002 | 61 | 2002 |
| A GIS based operational system for wildland fire crisis management II. System architecture and case studies D Vakalis, H Sarimveis, CT Kiranoudis, A Alexandridis, G Bafas Applied Mathematical Modelling 28 (4), 411-425, 2004 | 59 | 2004 |
| Large earthquake occurrence estimation based on radial basis function neural networks A Alexandridis, E Chondrodima, E Efthimiou, G Papadakis, F Vallianatos, ... IEEE Transactions on Geoscience and Remote Sensing 52 (9), 5443-5453, 2013 | 52 | 2013 |
