Petia Georgieva

According to our database1, Petia Georgieva authored at least 53 papers between 2001 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2020
Deep learning models for brain machine interfaces.
Ann. Math. Artif. Intell., 2020

Automated Diagnosis of Skin Lesions.
Proceedings of the 10th IEEE International Conference on Intelligent Systems, 2020

Optical Character Recognition for Autonomous Stores.
Proceedings of the 10th IEEE International Conference on Intelligent Systems, 2020

Log Files Analysis For Network Intrusion Detection.
Proceedings of the 10th IEEE International Conference on Intelligent Systems, 2020

2019
Stream Generation: Markov Chains vs GANs.
Proceedings of the 4th International Conference on Internet of Things, 2019

Breaking Text-Based CAPTCHA with Sparse Convolutional Neural Networks.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

Incremental Learning for Football Match Outcomes Prediction.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

Reinforcement Learning and Neuroevolution in Flappy Bird Game.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

ECG-Based Human Emotion Recognition Across Multiple Subjects.
Proceedings of the Future Access Enablers for Ubiquitous and Intelligent Infrastructures, 2019

Data Analytics for Home Air Quality Monitoring.
Proceedings of the Future Access Enablers for Ubiquitous and Intelligent Infrastructures, 2019

Deep Learning in Brain Computer Interfaces.
Proceedings of the 9th Balkan Conference on Informatics, 2019

2018
Factor Analysis for Finding Invariant Neural Descriptors of Human Emotions.
Complex., 2018

An Intelligent Tool for Detection of Phishing Messages.
Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition, 2018

Overview of Deep Learning Architectures for EEG-based Brain Imaging.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

The role of early anticipations for human-robot ball catching.
Proceedings of the 2018 IEEE International Conference on Autonomous Robot Systems and Competitions, 2018

2017
Reservoir computing for emotion valence discrimination from EEG signals.
Neurocomputing, 2017

2016
A Beamformer-Particle Filter Framework for Localization of Correlated EEG Sources.
IEEE J. Biomed. Health Informatics, 2016

Learning to decode human emotions with Echo State Networks.
Neural Networks, 2016

EEG dynamic source localization using constrained particle filtering.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Regression approach for automatic detection of attention lapses.
Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016

Face recognition based on subject dependent Hidden Markov Models.
Proceedings of the 2016 IEEE International Black Sea Conference on Communications and Networking, 2016

2015
Learning to decode human emotions from event-related potentials.
Neural Comput. Appl., 2015

Echo State Networks for Feature Selection in Affective Computing.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection, 2015

EEG-based Subject Independent Affective Computing Models.
Proceedings of the INNS Conference on Big Data 2015, 2015

Comparison of consumer purchase intention between interactive and augmented reality shopping platforms through statistical analyses.
Proceedings of the International Symposium on Innovations in Intelligent SysTems and Applications, 2015

Brain Neural Data Analysis with Feature Space Defined by Descriptive Statistics.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

EEG dynamic source localization using Marginalized Particle Filtering.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Error Tolerant Predictive Control Based on Recurrent Neural Models.
Proceedings of the Innovations in Intelligent Machines-5, 2014

Unsupervised EEG biosignal discrimination.
Int. J. Reason. based Intell. Syst., 2014

Classification models of emotional biosignals evoked while viewing affective pictures.
Proceedings of the 4th International Conference On Simulation And Modeling Methodologies, 2014

Towards an Adaptive Brain-Computer Interface - An Error Potential Approach.
Proceedings of the Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, 2014

Statistical approach for reconstruction of dynamic brain dipoles based on EEG data.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Brain Neural Data Analysis Using Machine Learning Feature Selection and Classification Methods.
Proceedings of the Engineering Applications of Neural Networks, 2014

2013
IEETA brain computer interface technologies.
Int. J. Comput. Intell. Stud., 2013

Bayesian Approach for Reconstruction of Moving Brain Dipoles.
Proceedings of the Image Analysis and Recognition - 10th International Conference, 2013

Robust Principal Component Analysis for Brain Imaging.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

Robust Principal Component Analysis for Improving Cognitive Brain States Discrimination from fMRI.
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

2012
Brain Machine Interface - IEETA case study.
Proceedings of the 6th IEEE International Conference on Intelligent Systems, 2012

Particle filters and beamforming for EEG source estimation.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Neural networks for model predictive control.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Person identification using VEP signals and SVM classifiers.
Proceedings of the International Joint Conference on Neural Networks, 2010

Advances in EEG-Based Biometry.
Proceedings of the Image Analysis and Recognition, 7th International Conference, 2010

2009
Artificial neural networks for modeling in reaction process systems.
Neural Comput. Appl., 2009

Computationally efficient process control with neural networkbased predictive models.
Proceedings of the International Joint Conference on Neural Networks, 2009

Error tolerant MPC versus PI control - a crystallization case study.
Proceedings of the European Control Conference, 2009

2007
Sparse Nonnegative Matrix Factorization with Genetic Algorithms for Microarray Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2007

Process modeling strategy combining analytical and data based techniques - I. NN identification of reaction rates with known kinetics coefficients.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
An Integral Plus States Adaptive Neural Control of Aerobic Continuous Stirred Tank Reactor.
Eng. Lett., 2006

Dynamic Optimisation of Industrial Sugar Crystallization Process based on a Hybrid (mechanistic+ANN) Model.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Adaptive recurrent neural network control of biological wastewater treatment.
Int. J. Intell. Syst., 2005

On-line monitoring of a sugar crystallization process.
Comput. Chem. Eng., 2005

2002
A Neural Network Based Approach for Measurement Dynamics Compensation.
Appl. Artif. Intell., 2002

2001
Modelling and Adaptive Control of Aerobic Continuous Stirred Tank Reactors.
Eur. J. Control, 2001


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