Petia Georgieva


AuthID: R-000-F4E

Confirmed Publications: 104



71
TITLE: Advances in EEG-Based Biometry
AUTHORS: Antonio Ferreira; Carlos Almeida; Petia Georgieva ; Ana Tome ; Filipe Silva ;
PUBLISHED: 2010, SOURCE: 7th International Conference on Image Analysis and Recognition in IMAGE ANALYSIS AND RECOGNITION, 2010, PT II, PROCEEDINGS, VOLUME: 6112, ISSUE: PART 2
INDEXED IN: Scopus WOS CrossRef: 12
IN MY: ORCID
72
TITLE: Clustering Evoked Potential Signals Using Subspace Methods
AUTHORS: Tome, AM ; Teixeira, AR ; Figueiredo, N; Georgieva, P ; Santos, IM ; Lang, E;
PUBLISHED: 2010, SOURCE: 32nd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBC 10) in 2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID
73
TITLE: Person Identification using VEP signals and SVM classifiers  Full Text
AUTHORS: Antonio Ferreira; Carlos Almeida; Petia Georgieva ; Ana Tome ;
PUBLISHED: 2010, SOURCE: World Congress on Computational Intelligence (WCCI 2010) in 2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010
INDEXED IN: Scopus WOS CrossRef: 3
IN MY: ORCID
74
TITLE: SSA of biomedical signals: A linear invariant systems approach
AUTHORS: Tome, AM; Teixeira, AR ; Figueiredo, N; Santos, IM ; Georgieva, P ; Lang, EW;
PUBLISHED: 2010, SOURCE: STATISTICS AND ITS INTERFACE, VOLUME: 3, ISSUE: 3
INDEXED IN: WOS
IN MY: ORCID
75
TITLE: Time accounting artificial neural networks for biochemical process models
AUTHORS: Georgieva, P ; Suarez, LAP; De Azevedo, SF ;
PUBLISHED: 2010, SOURCE: Studies in Computational Intelligence, VOLUME: 299
INDEXED IN: Scopus CrossRef
IN MY: ORCID
76
TITLE: Artificial neural networks for modeling in reaction process systems  Full Text
AUTHORS: Cristina Oliveira; Petia Georgieva ; Fernando Rocha ; Sebastiao Feyo de Azevedo ;
PUBLISHED: 2009, SOURCE: NEURAL COMPUTING & APPLICATIONS, VOLUME: 18, ISSUE: 1
INDEXED IN: Scopus WOS CrossRef: 9
IN MY: ORCID
77
TITLE: Computationally efficient process control with neural network-based predictive models  Full Text
AUTHORS: Suarez, LA; Georgieva, P ; de Azevedo, SF ;
PUBLISHED: 2009, SOURCE: International Joint Conference on Neural Networks in IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6
INDEXED IN: Scopus WOS CrossRef: 1
IN MY: ORCID
78
TITLE: Error tolerant MPC versus PI control - A crystallization case study
AUTHORS: Suarez, LAP; Georgieva, P ; De Azevedo, SF;
PUBLISHED: 2009, SOURCE: 2009 10th European Control Conference, ECC 2009 in 2009 European Control Conference, ECC 2009
INDEXED IN: Scopus
IN MY: ORCID
79
TITLE: Intelligent Predictive Control - Application to Scheduled Crystallization Processes
AUTHORS: Luis Alberto Paz Suarez; Petia Georgieva ; Sebastiao Feyo de Azevedo ;
PUBLISHED: 2009, SOURCE: International Conference on Adaptive and Intelligent SystemsInternational Conference of Advances in Environmental Forensics in PROCEEDINGS 2009 INTERNATIONAL CONFERENCE ON ADAPTIVE AND INTELLIGENT SYSTEMS, ICAIS 2009
INDEXED IN: Scopus WOS CrossRef: 2
IN MY: ORCID
80
TITLE: Novel computational methods for modeling and control in chemical and biochemical process systems
AUTHORS: Georgieva, P ; de Azevedo, SF ;
PUBLISHED: 2009, SOURCE: Studies in Computational Intelligence, VOLUME: 218
INDEXED IN: Scopus CrossRef: 5
IN MY: ORCID
Page 8 of 11. Total results: 104.

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