| Knowledge-based hybrid modelling of a batch crystallisation when accounting for nucleation, growth and agglomeration phenomena P Georgieva, MJ Meireles, SF de Azevedo chemical engineering science 58 (16), 3699-3713, 2003 | 82 | 2003 |
| On-line monitoring of a sugar crystallization process A Simoglou, P Georgieva, EB Martin, AJ Morris, SF de Azevedo Computers & Chemical Engineering 29 (6), 1411-1422, 2005 | 67 | 2005 |
| Adaptive recurrent neural network control of biological wastewater treatment IS Baruch, P Georgieva, J Barrera‐Cortes, SF de Azevedo International Journal of Intelligent Systems 20 (2), 173-193, 2005 | 50 | 2005 |
| Software engineering with computational intelligence J Lee Springer, 2013 | 40* | 2013 |
| Robust control design of an activated sludge process PG Georgieva, S Feyo de Azevedo International Journal of Robust and Nonlinear Control: IFAC‐Affiliated …, 1999 | 38 | 1999 |
| Neural network-based control strategies applied to a fed-batch crystallization process P Georgieva, SF De Azevedo cris 1000, 5, 2006 | 35 | 2006 |
| Learning to decode human emotions with Echo State Networks L Bozhkov, P Koprinkova-Hristova, P Georgieva Neural Networks 78, 112-119, 2016 | 34 | 2016 |
| SSA of biomedical signals: A linear invariant systems approach N Figueiredo, P Georgieva, EW Lang, IM Santos, AR Teixeira, AM Tomé Statistics and its Interface 3 (3), 345-355, 2010 | 33 | 2010 |
| Computational intelligence techniques as tools for bioprocess modelling, optimization, supervision and control MC Nicoletti, LC Jain, RC Giordano Computational Intelligence Techniques for Bioprocess Modelling, Supervision …, 2009 | 32 | 2009 |
| Adaptive?-tracking control of activated sludge processes P Georgieva, A Ilchmann International Journal of Control 74 (12), 1247-1259, 2001 | 30 | 2001 |
| EEG-based subject independent affective computing models L Bozhkov, P Georgieva, I Santos, A Pereira, C Silva Procedia Computer Science 53, 375-382, 2015 | 25 | 2015 |
| Advances in EEG-based biometry A Ferreira, C Almeida, P Georgieva, A Tomé, F Silva International conference image analysis and recognition, 287-295, 2010 | 22 | 2010 |
| Dynamical model of brushite precipitation C Oliveira, P Georgieva, F Rocha, A Ferreira, SF de Azevedo Journal of crystal growth 305 (1), 201-210, 2007 | 22 | 2007 |
| Comparison of consumer purchase intention between interactive and augmented reality shopping platforms through statistical analyses J Stoyanova, PQ Brito, P Georgieva, M Milanova 2015 International Symposium on Innovations in Intelligent SysTems and …, 2015 | 21 | 2015 |
| Reservoir computing for emotion valence discrimination from EEG signals L Bozhkov, P Koprinkova-Hristova, P Georgieva Neurocomputing 231, 28-40, 2017 | 20 | 2017 |
| Nonlinear MPC for fed-batch multiple stages sugar crystallization LAP Suárez, P Georgieva, SF De Azevedo Chemical Engineering Research and Design 89 (6), 753-767, 2011 | 20 | 2011 |
| Artificial neural networks and machine learning icann 2014 S Wermter, C Weber, W Duch, T Honkela, P Koprinkovahristova Lecture Notes in Computer Science 8681, 2014 | 19* | 2014 |
| Modelling and adaptive control of aerobic continuous stirred tank reactors P Georgieva, A Ilchmann, MF Weirig European Journal of Control 7 (5), 476-491, 2001 | 19 | 2001 |
| Learning to decode human emotions from event-related potentials O Georgieva, S Milanov, P Georgieva, IM Santos, AT Pereira, CF Silva Neural Computing and Applications 26 (3), 573-580, 2015 | 18 | 2015 |
| Dynamic optimisation of industrial sugar crystallization process based on a hybrid (mechanistic+ ANN) model V Galvanauskas, P Georgieva, SF De Azevedo The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 17 | 2006 |
Sebastião Feyo de AzevedoProfessor of Chemical EngineeringVerified email at fe.up.pt
