A general regression artificial neural network for two-phase flow regime identification T Tambouratzis, I Pàzsit Annals of Nuclear Energy 37 (5), 672-680, 2010 | 54 | 2010 |
A methodological study for optimizing material selection in sustainable product design T Tambouratzis, D Karalekas, N Moustakas Journal of Industrial Ecology 18 (4), 508-516, 2014 | 44 | 2014 |
Non-invasive on-line two-phase flow regime identification employing artificial neural networks T Tambouratzis, I Pázsit Annals of Nuclear Energy 36 (4), 464-469, 2009 | 38 | 2009 |
Final Report on the Research Project Ringhals Diagnostics and Monitoring: Stage 13 I Pázsit, CM Martín, V Dykin, T Tambouratzis Chalmers University of Technology, 2010 | 27 | 2010 |
Maximising accuracy and efficiency of traffic accident prediction combining information mining with computational intelligence approaches and decision trees T Tambouratzis, D Souliou, M Chalikias, A Gregoriades Journal of Artificial Intelligence and Soft Computing Research 4 (1), 31-42, 2014 | 26 | 2014 |
Pulse shape discrimination of neutrons and gamma rays using Kohonen artificial neural networks T Tambouratzis, D Chernikova, I Pzsit Journal of Artificial Intelligence and Soft Computing Research 3 (2), 77-88, 2013 | 24 | 2013 |
System identification during a transient via wavelet multiresolution analysis followed by spectral techniques M Antonopoulos-Domis, T Tambouratzis Annals of Nuclear Energy 25 (7), 465-480, 1998 | 23 | 1998 |
A novel artificial neural network for sorting T Tambouratzis IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 29 …, 1999 | 22 | 1999 |
Combining probabilistic neural networks and decision trees for maximally accurate and efficient accident prediction T Tambouratzis, D Souliou, M Chalikias, A Gregoriades The 2010 International Joint Conference on Neural Networks (IJCNN), 1-8, 2010 | 21 | 2010 |
Counter-clustering for training pattern selection T Tambouratzis The Computer Journal 43 (3), 177-190, 2000 | 18 | 2000 |
A simulated annealing artificial neural network implementation of the n‐queens problem T Tambouratzis International Journal of Intelligent Systems 12 (10), 739-751, 1997 | 18 | 1997 |
An implementation of a harmony theory network for interpreting line-drawings T Tambouratzis Network: Computation in neural systems 2 (4), 443, 1991 | 16 | 1991 |
A comparison of artificial neural network performance: The case of neutron/gamma pulse shape discrimination T Tambouratzis, D Chernikova, I Pázsit 2013 IEEE symposium on computational intelligence for security and defense …, 2013 | 15 | 2013 |
Instability localization with artificial neural networks (ANNs) T Tambouratzis, M Antonopoulos-Domis Annals of Nuclear Energy 29 (3), 235-253, 2002 | 13 | 2002 |
Decomposition co-ordination artificial neural network for satellite broadcast scheduling T Tambouratzis Electronics Letters 34 (15), 1503-1504, 1998 | 13 | 1998 |
Meteorological data analysis using self‐organizing maps T Tambouratzis, G Tambouratzis International Journal of Intelligent Systems 23 (6), 735-759, 2008 | 12 | 2008 |
Parameter estimation during a transient–application to BWR stability T Tambouratzis, M Antonopoulos-Domis Annals of Nuclear Energy 31 (18), 2077-2092, 2004 | 12 | 2004 |
Analysing the construction of the environmental sustainability index 2005 T Tambouratzis International Journal of Environmental Science and Technology 13 (12), 2817-2836, 2016 | 11 | 2016 |
Applying the computational intelligence paradigm to nuclear power plant operation: A review (1990-2015) T Tambouratzis, J Giannatsis, A Kyriazis, P Siotropos International Journal of Energy Optimization and Engineering (IJEOE) 9 (1 …, 2020 | 10 | 2020 |
Identification of key music symbols for optical music recognition and on-screen presentation T Tambouratzis The 2011 International Joint Conference on Neural Networks, 1935-1942, 2011 | 10 | 2011 |