Petia Georgieva

	2011
11		Petia Georgieva, Sebastião Feyo de Azevedo: Neural networks for model predictive control. IJCNN 2011: 111-118
	2010
10		Aida Ferreira, C. Almeida, Petia Georgieva, Ana Maria Tomé: Person identification using VEP signals and SVM classifiers. IJCNN 2010: 1-8
	2009
9		Luis A. Paz Suarez, Petia Georgieva, Sebastião Feyo de Azevedo: Computationally efficient process control with neural networkbased predictive models. IJCNN 2009: 2990-2997
8		Cristina Oliveira, Petia Georgieva, Fernando Rocha, Sebastião Feyo de Azevedo: Artificial neural networks for modeling in reaction process systems. Neural Computing and Applications 18(1): 15-24 (2009)
	2007
7		Petia Georgieva, Cristina Oliveira, Fernando Rocha, Sebastião Feyo de Azevedo: Process modeling strategy combining analytical and data based techniques - I. NN identification of reaction rates with known kinetics coefficients. IJCNN 2007: 1530-1535
6		Kurt Stadlthanner, Dominik Lutter, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Petia Georgieva, Carlos García Puntonet: Sparse Nonnegative Matrix Factorization with Genetic Algorithms for Microarray Analysis. IJCNN 2007: 294-299
	2006
5		Vytautas Galvanauskas, Petia Georgieva, Sebastião Feyo de Azevedo: Dynamic Optimisation of Industrial Sugar Crystallization Process based on a Hybrid (mechanistic+ANN) Model. IJCNN 2006: 2728-2735
4		Ieroham S. Baruch, Petia Georgieva, Josefina Barrera-Cortés: An Integral Plus States Adaptive Neural Control of Aerobic Continuous Stirred Tank Reactor. Engineering Letters 13(2): 84-92 (2006)
	2005
3		A. Simoglou, Petia Georgieva, E. B. Martin, A. J. Morris, Sebastião Feyo de Azevedo: On-line monitoring of a sugar crystallization process. Computers & Chemical Engineering 29(6): 1411-1422 (2005)
2		Ieroham S. Baruch, Petia Georgieva, Josefina Barrera-Cortés, Sebastião Feyo de Azevedo: Adaptive recurrent neural network control of biological wastewater treatment. Int. J. Intell. Syst. 20(2): 173-193 (2005)
	2002
1		Petia Georgieva, Sebastião Feyo de Azevedo: A Neural Network Based Approach for Measurement Dynamics Compensation. Applied Artificial Intelligence 16(6): 423-442 (2002)

Coauthor Index

1	C. Almeida	[10]
2	Sebastião Feyo de Azevedo	[1] [2] [3] [5] [7] [8] [9] [11]
3	Josefina Barrera-Cortés	[2] [4]
4	Ieroham S. Baruch	[2] [4]
5	Aida Ferreira	[10]
6	Vytautas Galvanauskas	[5]
7	Elmar Wolfgang Lang	[6]
8	Dominik Lutter	[6]
9	E. B. Martin	[3]
10	A. J. Morris	[3]
11	Cristina Oliveira	[7] [8]
12	Carlos García Puntonet	[6]
13	Fernando Rocha	[7] [8]
14	A. Simoglou	[3]
15	Kurt Stadlthanner	[6]
16	Luis A. Paz Suarez	[9]
17	Fabian J. Theis	[6]
18	Ana Maria Tomé	[6] [10]

Colors in the list of coauthors

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