Book |
- Pires, M.; Georgieva, P.. An Intelligent Tool for Detection of Phishing Messages. 2020.
10.1007/978-3-030-17065-3_12
- Georgieva, P.; Suárez, L.A.P.; de Azevedo, S.F.. Time accounting artificial neural networks for biochemical process models.
2017.
10.1007/978-3-319-41438-6_4
- Bozhkov, L.; Georgieva, P.. Brain neural data analysis with feature space defined by descriptive statistics. 2015.
10.1007/978-3-319-19390-8_47
- Figueiredo, N.; Silva, F.; Georgieva, P.; Milanova, M.; Mendi, E.. Towards an adaptive brain-computer interface – An error
potential approach. 2015.
10.1007/978-3-319-14899-1_12
- Georgieva, P.; Silva, F.; Milanova, M.; Kasabov, N.. EEG signal processing for brain-computer interfaces. 2014.
10.1007/978-3-642-30574-0_46
- Georgieva, P.; de Azevedo, S.F.. Error tolerant predictive control based on recurrent neural models. 2014.
10.1007/978-3-662-43370-6_2
- Bozhkov, L.; Georgieva, P.; Trifonov, R.. Brain Neural Data Analysis Using Machine Learning Feature Selection and Classification
Methods. 2014.
10.1007/978-3-319-11071-4_12
- Georgieva, P.; Nuntal, N.; De La Torre, F.. Robust principal component analysis for improving cognitive brain states discrimination
from fMRI. 2013.
10.1007/978-3-642-38628-2_19
- Georgieva, P.; Mihaylova, L.; Silva, F.; Milanova, M.; Figueiredo, N.; Jain, L.C.. A sequential Monte Carlo approach for
brain source localization. 2013.
10.1007/978-3-642-28696-4-5
- Mihaylova, L.; Georgieva, P.; Jain, L.C.. Introduction to intelligent signal processing and data mining. 2013.
10.1007/978-3-642-28696-4-1
- Georgieva, P.; De La Torre, F.. Robust principal component analysis for brain imaging. 2013.
10.1007/978-3-642-40728-4_36
- Petia Georgieva; Lyudmila Mihaylova; Lakhmi C Jain. Advances in Intelligent Signal Processing and Data Mining. Springer
Berlin Heidelberg. 2013.
10.1007/978-3-642-28696-4
- Georgieva, P.; Bouaynaya, N.; Mihaylova, L.; Silva, F.. Bayesian approach for reconstruction of moving brain dipoles.
2013.
10.1007/978-3-642-39094-4_64
- Georgieva, P.. Plant and Equipment: Instrumentation and Process Control: Process Control. 2011.
10.1016/b978-0-12-374407-4.00413-1
- Oliveira, R.; Georgieva, P.; Feyo de Azevedo, S.. Plant and Equipment: Instrumentation and Process Control: Instrumentation.
2011.
10.1016/b978-0-12-374407-4.00412-x
- Georgieva, P.; Suárez, L.A.P.; De Azevedo, S.F.. Time accounting artificial neural networks for biochemical process models.
2010.
10.1007/978-3-642-13428-9_8
- Ferreira, A.; Almeida, C.; Georgieva, P.; Tomé, A.; Silva, F.. Advances in EEG-based biometry. 2010.
10.1007/978-3-642-13775-4_29
- Georgieva, P.; de Azevedo, S.F.. Novel computational methods for modeling and control in chemical and biochemical process
systems. 2009.
10.1007/978-3-642-01888-6_4
- Oliveira, C.; Georgieva, P.; Rocha, F.; Ferreira, A.; De Azevedo, S.F.. Modelling of dicalcium phosphate dihydrate precipitation
from solution. 2005.
10.1016/s0263-8762(07)73209-4
- Simoglou, A.; Georgieva, P.; Martin, E.B.; Morris, A.J.; Feyo de Azevedo, S.. On-line multivariate statistical monitoring
of a fed-batch sugar crystallisation process. 2004.
10.1016/s1570-7946(04)80202-5
|
Book chapter |
- Desislava Nikolova; Petia Mihaylova; Agata Manolova; Petia Georgieva. "ECG-Based Human Emotion Recognition Across Multiple
Subjects". 2019.
10.1007/978-3-030-23976-3_3
- André Brandão; Pedro Pires; Petia Georgieva. "Reinforcement Learning and Neuroevolution in Flappy Bird Game". 225-236. Springer
International Publishing, 2019.
10.1007/978-3-030-31332-6_20
- Diogo Daniel Ferreira; Luís Leira; Petya Mihaylova; Petia Georgieva. "Breaking Text-Based CAPTCHA with Sparse Convolutional
Neural Networks". 2019.
10.1007/978-3-030-31321-0_35
- José Domingues; Bernardo Lopes; Petya Mihaylova; Petia Georgieva. "Incremental Learning for Football Match Outcomes Prediction".
2019.
10.1007/978-3-030-31321-0_19
|
Conference paper |
- Georgieva, P.. "Deep learning in brain computer interfaces". 2019.
10.1145/3351556.3351594
- Jesus, R.; Antunes, M.; Georgieva, P.; Gomes, D.; Aguiar, R.L.. "Stream generation: Markov chains vs GANs". 2019.
10.5220/0007766501770184
- Bozhkov, L.; Georgieva, P.. "Overview of Deep Learning Architectures for EEG-based Brain Imaging". 2018.
10.1109/IJCNN.2018.8489561
- Carneiro, D.; Silva, F.; Georgieva, P.. "The role of early anticipations for human-robot ball catching". 2018.
10.1109/ICARSC.2018.8374153
- Dinkova, P.; Georgieva, P.; Manolova, A.; Milanova, M.. "Face recognition based on subject dependent Hidden Markov Models".
2017.
10.1109/BlackSeaCom.2016.7901570
- Georgieva, K.; Georgieva, O.; Georgieva, P.; Ribeiro, M.J.; Paiva, J.S.. "Regression approach for automatic detection of attention
lapses". 2016.
10.1109/IS.2016.7737447
- Mladenov, V.M.; Georgieva, P.; Spasov, G.; Petrova, G.. "Preface". 2015.
- Stoyanova, J.; Brito, P.Q.; Georgieva, P.; Milanova, M.. "Comparison of consumer purchase intention between interactive and
augmented reality shopping platforms through statistical analyses". 2015.
10.1109/inista.2015.7276727
- Koprinkova-Hristova, P.; Bozhkov, L.; Georgieva, P.. "Echo state networks for feature selection in affective computing". 2015.
10.1007/978-3-319-18944-4_11
- Bozhkov, L.; Georgieva, P.; Santos, I.; Pereira, A.; Silva, C.. "EEG-based subject independent affective computing models".
2015.
10.1016/j.procs.2015.07.314
- Duarte, D.P.; Prats, S.; Keizer, J.J.; Georgieva, P.; Nogueira, R.; Bilro, L.. "Novel approach for simultaneous sediment classification
and concentration determination of water turbidity". 2015.
10.1117/12.2194578
- Ebinger, B.; Bouaynaya, N.; Georgieva, P.; Mihaylova, L.; Ebinger, B; Bouaynaya, N; Georgieva, P; et al. "EEG dynamic source
localization using Marginalized Particle Filtering". 2015.
10.1109/bibm.2015.7359727
- Bozhkov, L; Georgieva, P; Trifonov, R. "Brain Neural Data Analysis Using Machine Learning Feature Selection and Classification
Methods". 2014.
- Lachezar Bozhkov; Petia Georgieva. "Classification Models of Emotional Biosignals Evoked While Viewing Affective Pictures".
2014.
10.5220/0005104206010606
- Georgieva, P.; Silva, F.; Bouaynaya, N.; Mihaylova, L.. "Bayesian tracking and multi-core beamforming for estimation of correlated
brain sources". 2014.
10.1049/cp.2014.0522
- Georgieva, P.; Silva, F.; Mihaylova, L.; Bouaynaya, N.. "Statistical approach for reconstruction of dynamic brain dipoles
based on EEG data". 2014.
10.1109/IJCNN.2014.6889663
- Suarez, L.A.P.; Georgieva, P.; De Azevedo, S.F.. "Error tolerant MPC versus PI control - A crystallization case study". 2014.
- Georgieva, O.; Milanov, S.; Georgieva, P.. "Cluster analysis for EEG biosignal discrimination". 2013.
10.1109/INISTA.2013.6577646
- Georgieva, P.; Silva, F.; Figueiredo, N.. "Brain machine interface IEETA case study". 2012.
10.1109/IS.2012.6335164
- Georgieva, P.; Mihaylova, L.; Bouaynaya, N.; Jain, L.. "Particle filters and beamforming for EEG source estimation". 2012.
10.1109/IJCNN.2012.6252516
- Georgieva, P.; Feyo De Azevedo, S.. "Neural networks for model predictive control". 2011.
10.1109/IJCNN.2011.6033208
- Tomé, A.M.; Teixeira, A.R.; Figueiredo, N.; Georgieva, P.; Santos, I.M.; Lang, E.. "Clustering evoked potential signals using
subspace methods". 2010.
10.1109/IEMBS.2010.5627971
- Ferreira, A.; Almeida, C.; Georgieva, P.; Tomé, A.. "Person identification using VEP signals and SVM classifiers". 2010.
10.1109/IJCNN.2010.5596616
- Suárez, L.A.P.; Georgieva, P.; De Azevedo, S.F.. "Intelligent predictive control - Application to scheduled crystallization
processes". 2009.
10.1109/icais.2009.34
- Suárez, L.A.P.; Georgieva, P.; De Azevedo, S.F.. "Computationally efficient process control with neural networkbased predictive
models". 2009.
10.1109/IJCNN.2009.5178663
- Georgieva, P.; De Azevedo, S.F.. "Neural network - Based estimation of reaction rates with partly unknown states and completely
known kinetics coefficients". 2008.
10.1109/is.2008.4670443
- Stadlthanner, K.; Lutter, D.; Theis, F.J.; Lang, E.W.; Tomé, A.M.; Georgieva, P.; Puntonet, C.G.. "Sparse nonnegative matrix
factorization with genetic algorithms for microarray analysis". 2007.
10.1109/IJCNN.2007.4370971
- Georgieva, P.; Oliveira, C.; Rocha, F.; Feyo De Azevedo, S.. "Process modeling strategy combining analytical and data based
techniques - I. NN identification of reaction rates with known kinetics coefficients". 2007.
10.1109/ijcnn.2007.4371185
- Georgieva, P; de Azevedo, SF. "Application of Feed Forward Neural Networks in Modeling and Control of a Fed-Batch Crystallization
Process". 2006.
- Galvanauskas, V.; Georgieva, P.; Feyo De Azevedo, S.. "Dynamic optimisation of industrial sugar crystallization process based
on a hybrid (mechanistic+ANN) model". 2006.
- Simoglou, A.; Georgieva, P.; Martin, E.B.; Morris, A.J.; De Azevedo, S.F.. "A time varying state space approach for sugar
crystallization process modelling and monitoring". 2005.
- Baruch, I.S.; Georgieva, P.; Hernandes P., L.A.; Nenkova, B.. "An adaptive integral plus states neural control of aerobic
continuous stirred tank reactor". 2004.
- Roumenin, C.; Georgieva, P.; Ivanov, A.. "Anomalous angle dependence of the output signal of bipolar magnetic sensors". 1998.
10.1109/ASDAM.1998.730227
|
Journal article |
- Santos, Fábio Miguel Tomaz dos. "Deep learning for multi-class skin lesion diagnosis". (2020): http://hdl.handle.net/10773/29604.
- Lachezar Bozhkov; Petia Georgieva. "Deep learning models for brain machine interfaces". Annals of Mathematics and Artificial
Intelligence (2019): https://doi.org/10.1007/s10472-019-09668-0.
10.1007/s10472-019-09668-0
- Vitor Pereira; Filipe Tavares; Petya Mihaylova; Valeri Mladenov; Petia Georgieva. "Factor Analysis for Finding Invariant Neural
Descriptors of Human Emotions". Complexity (2018): https://doi.org/10.1155/2018/6740846.
10.1155/2018/6740846
- A. C. Maurício; T. Pereira; P. Teixeira; R. Magalhães; J. D. Santos; P. P. Barbosa; M. V. Branquinho; et al. "Human umbilical
cord blood plasma as an alternative to animal sera for mesenchymal stromal cells in vitro expansion - A multicomponent metabolomic
analysis". Plos One (2018): https://publons.com/publon/15924906/.
10.1371/JOURNAL.PONE.0203936
- Bozhkov, L.; Koprinkova-Hristova, P.; Georgieva, P.. "Reservoir computing for emotion valence discrimination from EEG signals".
Neurocomputing 231 (2017): 28-40. http://www.scopus.com/inward/record.url?eid=2-s2.0-85006062107&partnerID=MN8TOARS.
10.1016/j.neucom.2016.03.108
- Bozhkov, L.; Koprinkova-Hristova, P.; Georgieva, P.. "Learning to decode human emotions with Echo State Networks". Neural
Networks 78 (2016): 112-119. http://www.scopus.com/inward/record.url?eid=2-s2.0-84966400967&partnerID=MN8TOARS.
10.1016/j.neunet.2015.07.005
- Georgieva, P.; Bouaynaya, N.; Silva, F.; Mihaylova, L.; Jain, L.C.. "A Beamformer-Particle Filter Framework for Localization
of Correlated EEG Sources". IEEE Journal of Biomedical and Health Informatics 20 3 (2016): 880-892. http://www.scopus.com/inward/record.url?eid=2-s2.0-84969913442&partnerID=MN8TOARS.
10.1109/jbhi.2015.2413752
- Milanova, Mariofanna; Manolova, Agata; Dinkova, Petya; Georgieva, Petia. "Face Recognition Based on Subject Dependent Hidden
Markov Models". IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom) (2016): https://publons.com/publon/14571346/.
10.1109/BLACKSEACOM.2016.7901570
- Roumiana Ilieva; Petia Georgieva; Stanislava Petrova. "BRAIN DATA ANALYSIS AND MANAGEMENT". GISAP:MSP 7 (2015): http://dx.doi.org/10.18007/gisap:msp.v0i7.1071.
10.18007/gisap:msp.v0i7.1071
- Georgieva, O.; Milanov, S.; Georgieva, P.; Santos, I.M.; Pereira, A.T.; Silva, C.F.. "Learning to decode human emotions from
event-related potentials". Neural Computing and Applications 26 3 (2015): 573-580. http://www.scopus.com/inward/record.url?eid=2-s2.0-84925289990&partnerID=MN8TOARS.
10.1007/s00521-014-1653-6
- Neves, José; Machado, José; Gomes, Guida; Sousa, Sérgio; Tereso, Daniela; Coelho, Ana; Caldeira, A. Teresa; et al. "An Evaluation
of Parchments’ Degradation - A Hybrid Approach". Parchment stands for a multifaceted material made from animal skin, which
has been used for centuries as a writing support or as bookbinding. Due to the historic value of objects made of parchment,
understanding their degradation and their condition is of utmost importance to archives, libraries and museums, i.e., the
assessment of parchment degradation is mandatory, although it is hard to do with (2015): http://www.scs-europe.net/dlib/2015/2015-0492.htm.
- Georgieva, O.; Milanov, S.; Georgieva, P.. "Unsupervised EEG biosignal discrimination". International Journal of Reasoning-based
Intelligent Systems 6 3-4 (2014): 118-125. http://www.scopus.com/inward/record.url?eid=2-s2.0-84918536579&partnerID=MN8TOARS.
10.1504/ijris.2014.066249
- Petia Georgieva; Filipe Silva; Nuno Figueiredo. "IEETA brain computer interface technologies". International Journal of
Computational Intelligence Studies 2 3/4 (2013): 314-314. http://dx.doi.org/10.1504/ijcistudies.2013.057645.
10.1504/ijcistudies.2013.057645
- Alexiev, Kiril; Koprinkova-Hristova, Petia. "Echo State Networks in Dynamic Data Clustering". Lecture Notes in Computer
Science (2013): https://publons.com/publon/3487082/.
10.1007/978-3-642-40728-4_43
- Georgi Jelev; Valentin Atanassov; Denitsa Borisova; Kiril Alexiev; Petia Koprinkova-Hristova. "Recurrent neural networks for
automatic clustering of multispectral satellite images". Image and Signal Processing for Remote Sensing Xix (2013):
https://publons.com/publon/3487086/.
10.1117/12.2029191
- Georgieva, Petia; Azevedo, Sebastião Feyo de. "Application of artificial neural networks in modeling and optimization of batch
crystallization processes". This paper is focused on issues of dynamic process modeling and model-based optimization
of batch and fed-batch industrial crystallization processes applying the concept of artificial neural networks as
computational tools. The objective is to drive the process to its optimal state of profit maximization and cost
minimization. The simulation results demonstrate that t (2013): http://revistas.ua.pt/index.php/revdeti/article/view/1870.
- Paz Suárez, L.A.; Georgieva, P.; Feyo de Azevedo, S.. "Nonlinear MPC for fed-batch multiple stages sugar crystallization".
Chemical Engineering Research and Design 89 6 (2011): 753-767. http://www.scopus.com/inward/record.url?eid=2-s2.0-79956293971&partnerID=MN8TOARS.
10.1016/j.cherd.2010.10.010
- Tomé, A.M.; Teixeira, A.R.; Figueiredo, N.; Georgieva, P.; Santos, I.M.; Lang, E.. "Clustering evoked potential signals using
subspace methods.". Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and
Biology Society. IEEE Engineering in Medicine and Biology Society. Conference (2010): 3986-3989. http://www.scopus.com/inward/record.url?eid=2-s2.0-84903875543&partnerID=MN8TOARS.
- Tome, AM; Teixeira, AR; Figueiredo, N; Santos, IM; Georgieva, P; Lang, EW. "SSA of biomedical signals: A linear invariant
systems approach". STATISTICS AND ITS INTERFACE (2010): https://www.authenticus.pt/P-003-CZ0.
- Oliveira, C.; Georgieva, P.; Rocha, F.; Feyo De Azevedo, S.. "Artificial neural networks for modeling in reaction process
systems". Neural Computing and Applications 18 1 (2009): 15-24. http://www.scopus.com/inward/record.url?eid=2-s2.0-58549113550&partnerID=MN8TOARS.
10.1007/s00521-008-0200-8
- Oliveira, C.; Georgieva, P.; Rocha, F.; Ferreira, A.; Feyo de Azevedo, S.. "Dynamical model of brushite precipitation". Journal
of Crystal Growth 305 1 (2007): 201-210. http://www.scopus.com/inward/record.url?eid=2-s2.0-34249875384&partnerID=MN8TOARS.
10.1016/j.jcrysgro.2007.04.016
- Simoglou, A.; Georgieva, P.; Martin, E.B.; Morris, A.J.; Feyo De Azevedo, S.. "On-line monitoring of a sugar crystallization
process". Computers and Chemical Engineering 29 6 SPEC. IS (2005): 1411-1422. http://www.scopus.com/inward/record.url?eid=2-s2.0-18244371404&partnerID=MN8TOARS.
10.1016/j.compchemeng.2005.02.013
- Baruch, I.S.; Georgieva, P.; Barrera-Cortes, J.; De Azevedo, S.F.. "Adaptive recurrent neural network control of biological
wastewater treatment". International Journal of Intelligent Systems 20 2 (2005): 173-193. http://www.scopus.com/inward/record.url?eid=2-s2.0-13844296578&partnerID=MN8TOARS.
10.1002/int.20061
- Georgieva, P.; Meireles, M.J.; Feyo de Azevedo, S.. "Knowledge-based hybrid modelling of a batch crystallisation when accounting
for nucleation, growth and agglomeration phenomena". Chemical Engineering Science 58 16 (2003): 3699-3713. http://www.scopus.com/inward/record.url?eid=2-s2.0-0042827953&partnerID=MN8TOARS.
10.1016/S0009-2509(03)00260-4
- Trayana Patarinska; Petya Koprinkova; Silvia Popova. "Neural network based biomass and growth rate estimation aimed to control
of a chemostat microbial cultivation". Applied Artificial Intelligence (2003): https://publons.com/publon/3487068/.
10.1080/713827143
- Faculdade de Engenharia. "Modeling of sugar crystallization through knowledge integration". (2003): https://repositorio-aberto.up.pt/handle/10216/98899.
10.1002/elsc.200390019
- Georgieva, P.; Feyo De Azevedo, S.. "A neural network based approach for measurement dynamics compensation". Applied Artificial
Intelligence 16 6 (2002): 423-442. http://www.scopus.com/inward/record.url?eid=2-s2.0-0036646944&partnerID=MN8TOARS.
10.1080/08839510290030291
- Georgieva, P.; Ilchmann, A.. "Adaptive ¿-tracking control of activated sludge processes". International Journal of Control
74 12 (2001): 1247-1259. http://www.scopus.com/inward/record.url?eid=2-s2.0-0035883107&partnerID=MN8TOARS.
10.1080/00207170110065910
- Georgieva, P.; Ilchmann, A.; Weirig, M.-F.. "Modelling and adaptive control of aerobic continuous stirred tank reactors".
European Journal of Control 7 5 (2001): 476-491. http://www.scopus.com/inward/record.url?eid=2-s2.0-29944447574&partnerID=MN8TOARS.
10.3166/ejc.7.476-491
- Mareels, I; Georgieva, P; Ilchmann, A; Weirig, M. "Discussion on: “Modeling and Adaptive Control of Aerobic Continuous Stirred
Tank Reactors” by P. Georgieva, A. Ilchmann and M.-F. Weirig". European Journal of Control (2001):
10.3166/ejc.7.492-493
- Georgieva, P.G.; Ignatova, M.N.. "Implementation of robust control theory to a continuous stirred tank bioreactor". Bioprocess
Engineering 22 6 (2000): 563-568. http://www.scopus.com/inward/record.url?eid=2-s2.0-2442593226&partnerID=MN8TOARS.
- Ignatova, M.; Lubenova, V.; Georgieva, P.. "MIMO adaptive linearizing control of fed-batch amino acids simultaneous production".
Bioprocess Engineering 22 1 (2000): 79-84. http://www.scopus.com/inward/record.url?eid=2-s2.0-0033951345&partnerID=MN8TOARS.
- Georgieva, P.G.; Feyo De Azevedo, S.. "Robust control design of an activated sludge process". International Journal of
Robust and Nonlinear Control 9 13 (1999): 949-967. http://www.scopus.com/inward/record.url?eid=2-s2.0-6744224437&partnerID=MN8TOARS.
10.1002/(SICI)1099-1239(199911)9:13<949::AID-RNC445>3.0.CO;2-G
- Georgieva, P.G.; Ignatova, M.N.. "LFT models of continuous biotechnological processes". Bioprocess Engineering 20 2
(1999): 179-183. http://www.scopus.com/inward/record.url?eid=2-s2.0-0033063952&partnerID=MN8TOARS.
10.1007/s004490050578
- Petia Georgieva. "ROBUST STABILITY IN MULTIVARIABLE FEEDBACK-SYSTEMS USING DOMINANCE CONCEPT AND APPROXIMATE MODEL". 93,
INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS: SYSTEMS ENGINEERING IN THE SERVICE OF HUMANS, VOL 3 (1993):
https://publons.com/publon/15926468/.
|
Thesis / Dissertation |
- Marques, João António Palavra. "A self-surveillance system for change detection of pigmented skin lesions". Master, 2019.
http://hdl.handle.net/10773/29597.
- Maia, Fábio. "A study of transfer learning for skin lesion classification". Master, 2019. http://hdl.handle.net/10773/29408.
- Sousa, Diogo Macedo de. "Decision support service for Bewegen bike-sharing systems". Master, 2019. http://hdl.handle.net/10773/29670.
- Carneiro, Diogo José Vaz. "Generalization and anticipation skills for robot ball catching using supervised learning". Master,
2017. http://hdl.handle.net/10773/23856.
- Pires, Marcos da Silva Neto Abranches. "Development of intelligent tool for phising email detection". Master, 2017. http://hdl.handle.net/10773/25890.
- Costa, Rui Jorge Duarte. "Face detection and recognision". Master, 2016. http://hdl.handle.net/10773/21683.
- Paz Suárez, Luis Alberto. "Estratégias avançadas de modelização e controlo para processos industriais não lineares e descontínuos
: aplicação em cristalizadores industriais de açucar". PhD, 2010. http://hdl.handle.net/10216/58885.
- Gaspar, Pedro André dos Santos. "Laboratório virtual de sistemas de controlo: realidade virtual". Master, 2010. http://hdl.handle.net/10773/3562.
- Maia, Pedro Emanuel Moreira. "Detecção de actividade cerebral com imagens de ressonância magnética". Master, 2010. http://hdl.handle.net/10773/7434.
- Prada, Bruno Miguel Lopes. "Interface cérebro-computador não invasiva baseada em OpenVibe". Master, 2010. http://hdl.handle.net/10773/7524.
- Ferreira, António José Claro. "Sistema de identificação pessoal baseado em sinais de EEG". Master, 2009. http://hdl.handle.net/10773/2114.
- Ferraz, João Miguel Ribeiro Paiva. "Laboratório virtual de sistemas de controlo". Master, 2009. http://hdl.handle.net/10773/2108.
- Ribeiro, Vítor Manuel Costa. "Controlo de sistemas dinâmicos com redes neuronais artificiais". Master, 2008. http://hdl.handle.net/10773/2007.
- Salgado, Norberto Emanuel Godinho. "Ajuste de controladores por optimização não linear multiobjectivo". Master, 2008. http://hdl.handle.net/10773/1959.
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