Petia Georgieva

According to our database, Petia Georgieva authored at least 69 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Novel CNN-Based Channel Estimation Algorithm in the Presence of Phase Noise and CFO.

Fábio D. L. Coutinho, Hugerles S. Silva, Petia Georgieva, Arnaldo S. R. Oliveira

IEEE Wirel. Commun. Lett., January, 2024

3D Object Detection for Self-Driving Vehicles Enhanced by Object Velocity.

Leandro Alexandrino, Hadi Z. Olyaei, André Albuquerque, Petia Georgieva, Miguel V. Drummond

IEEE Access, 2024

2023

Editorial for special section 'IbPRIA22′.

Petia Georgieva

Pattern Recognit. Lett., April, 2023

Uncovering Archaeological Sites in Airborne LiDAR Data With Data-Centric Artificial Intelligence.

Daniel Canedo, João Fonte, Luis Gonçalves-Seco, Marta Vázquez, Rita Dias, Tiago Do Pereiro, João Hipólito, Fernando Menéndez-Marsh, Petia Georgieva, António J. R. Neves

IEEE Access, 2023

Quantization Effects in a CNN-based Channel Estimator.

Fábio D. L. Coutinho, Hugerles S. Silva, Petia Georgieva, Arnaldo S. R. Oliveira

Proceedings of the IEEE Radio and Wireless Symposium, 2023

2022

5G cascaded channel estimation using convolutional neural networks.

Fábio D. L. Coutinho, Hugerles S. Silva, Petia Georgieva, Arnaldo S. R. Oliveira

Digit. Signal Process., 2022

CNN-based Algorithm for Joint Channel and Phase Noise Estimation in OFDM Relay Systems.

Fábio D. L. Coutinho, Hugerles S. Silva, Petia Georgieva, Arnaldo S. R. Oliveira

Proceedings of the IEEE Latin-American Conference on Communications, 2022

An Innovative Vision System for Floor-Cleaning Robots Based on YOLOv5.

Daniel Canedo, Pedro Fonseca, Petia Georgieva, António J. R. Neves

Proceedings of the Pattern Recognition and Image Analysis - 10th Iberian Conference, 2022

Deep Learning for Diagnosis of Alzheimer's Disease with FDG-PET Neuroimaging.

José Bastos, Filipe Silva, Petia Georgieva

Proceedings of the Pattern Recognition and Image Analysis - 10th Iberian Conference, 2022

Energy Savings in Residential Buildings Based on Adaptive Thermal Comfort Models.

Rodrigo Almeida, Petia Georgieva, Nelson Martins

Proceedings of the Pattern Recognition and Image Analysis - 10th Iberian Conference, 2022

Automatic Log Analysis to Prevent Cyber Attacks.

André Brandão, Petia Georgieva

Proceedings of the Advances in Intelligent Systems Research and Innovation, 2022

2021

Robot Anticipation Learning System for Ball Catching.

Diogo Carneiro, Filipe Silva, Petia Georgieva

Robotics, 2021

Out of Training Distribution Detection for Multi-Class Skin Lesion Diagnosis.

Fábio Santos, Filipe Silva, Petia Georgieva

Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2021

Transfer Learning for Skin Lesion Classification using Convolutional Neural Networks.

Fábio Santos, Filipe Silva, Petia Georgieva

Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2021

Machine Learning Approach for Online Monitoring of Quality of Transmission Performance Indicators in Optical Fiber Networks.

Ricardo Pousa, Petia Georgieva, José Pina, Pedro Cruz, Paulo André

Proceedings of the European Conference on Optical Communication, 2021

2020

Deep learning models for brain machine interfaces.

Lachezar Bozhkov, Petia Georgieva

Ann. Math. Artif. Intell., 2020

Automated Diagnosis of Skin Lesions.

Fábio Santos, Filipe Silva, Petia Georgieva

Proceedings of the 10th IEEE International Conference on Intelligent Systems, 2020

Optical Character Recognition for Autonomous Stores.

Petia Georgieva, Pei Zhang

Proceedings of the 10th IEEE International Conference on Intelligent Systems, 2020

Log Files Analysis For Network Intrusion Detection.

André Brandão, Petia Georgieva

Proceedings of the 10th IEEE International Conference on Intelligent Systems, 2020

Trajectory design of an Aircraft for Circular Motion.

Nicholas DeCicco, Kristine Napolitano, Russell Trafford, Petia Georgieva, Nidhal Bouaynaya, Robi Polikar

Proceedings of the 16th IEEE International Conference on Control & Automation, 2020

2019

Stream Generation: Markov Chains vs GANs.

Ricardo Jesus, Mário Antunes, Petia Georgieva, Diogo Gomes, Rui L. Aguiar

Proceedings of the 4th International Conference on Internet of Things, 2019

Breaking Text-Based CAPTCHA with Sparse Convolutional Neural Networks.

Diogo Daniel Ferreira, Luís Leira, Petya Mihaylova, Petia Georgieva

Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

Incremental Learning for Football Match Outcomes Prediction.

José Domingues, Bernardo Lopes, Petya Mihaylova, Petia Georgieva

Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

Reinforcement Learning and Neuroevolution in Flappy Bird Game.

André Brandão, Pedro Pires, Petia Georgieva

Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

ECG-Based Human Emotion Recognition Across Multiple Subjects.

Desislava Nikolova, Petia Mihaylova, Agata Manolova, Petia Georgieva

Proceedings of the Future Access Enablers for Ubiquitous and Intelligent Infrastructures, 2019

Data Analytics for Home Air Quality Monitoring.

Petya Mihaylova, Agata Manolova, Petia Georgieva

Proceedings of the Future Access Enablers for Ubiquitous and Intelligent Infrastructures, 2019

Deep Learning in Brain Computer Interfaces.

Petia Georgieva

Proceedings of the 9th Balkan Conference on Informatics, 2019

2018

Factor Analysis for Finding Invariant Neural Descriptors of Human Emotions.

Vitor Pereira, Filipe Tavares, Petya Mihaylova, Valeri M. Mladenov, Petia Georgieva

Complex., 2018

An Intelligent Tool for Detection of Phishing Messages.

Marcos Pires, Petia Georgieva

Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition, 2018

Overview of Deep Learning Architectures for EEG-based Brain Imaging.

Lachezar Bozhkov, Petia Georgieva

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

The role of early anticipations for human-robot ball catching.

Diogo Carneiro, Filipe Miguel Teixeira Pereira da Silva, Petia Georgieva

Proceedings of the 2018 IEEE International Conference on Autonomous Robot Systems and Competitions, 2018

2017

Reservoir computing for emotion valence discrimination from EEG signals.

Lachezar Bozhkov, Petia D. Koprinkova-Hristova, Petia Georgieva

Neurocomputing, 2017

2016

A Beamformer-Particle Filter Framework for Localization of Correlated EEG Sources.

Petia Georgieva, Nidhal Bouaynaya, Filipe Miguel Teixeira Pereira da Silva, Lyudmila Mihaylova, Lakhmi C. Jain

IEEE J. Biomed. Health Informatics, 2016

Learning to decode human emotions with Echo State Networks.

Lachezar Bozhkov, Petia D. Koprinkova-Hristova, Petia Georgieva

Neural Networks, 2016

EEG dynamic source localization using constrained particle filtering.

Nesrine Amor, Nidhal Bouaynaya, Petia Georgieva, Roman Shterenberg, Souad Chebbi

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Regression approach for automatic detection of attention lapses.

Krasimira Georgieva, Olga Georgieva, Petia Georgieva, Maria J. Ribeiro, Joana S. Paiva

Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016

Face recognition based on subject dependent Hidden Markov Models.

Petya Dinkova, Petia Georgieva, Agata Manolova, Mariofanna G. Milanova

Proceedings of the 2016 IEEE International Black Sea Conference on Communications and Networking, 2016

2015

Learning to decode human emotions from event-related potentials.

Olga Georgieva, Sergey Milanov, Petia Georgieva, Isabel M. Santos, Ana Teresa Pereira, Carlos F. Silva

Neural Comput. Appl., 2015

Echo State Networks for Feature Selection in Affective Computing.

Petia D. Koprinkova-Hristova, Lachezar Bozhkov, Petia Georgieva

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.

Lachezar Bozhkov, Petia Georgieva, Isabel M. Santos, Ana Teresa Pereira, Carlos F. Silva

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.

Jasmina Stoyanova, Pedro Quelhas Brito, Petia Georgieva, Mariofanna G. Milanova

Proceedings of the International Symposium on Innovations in Intelligent SysTems and Applications, 2015

Brain Neural Data Analysis with Feature Space Defined by Descriptive Statistics.

Lachezar Bozhkov, Petia Georgieva

Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

EEG dynamic source localization using Marginalized Particle Filtering.

Bradley Ebinger, Nidhal Bouaynaya, Petia Georgieva, Lyudmila Mihaylova

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

Error Tolerant Predictive Control Based on Recurrent Neural Models.

Petia Georgieva, Sebastião Feyo de Azevedo

Proceedings of the Innovations in Intelligent Machines-5, 2014

Unsupervised EEG biosignal discrimination.

Olga Georgieva, Sergey Milanov, Petia Georgieva

Int. J. Reason. based Intell. Syst., 2014

Classification models of emotional biosignals evoked while viewing affective pictures.

Lachezar Bozhkov, Petia Georgieva

Proceedings of the 4th International Conference On Simulation And Modeling Methodologies, 2014

Towards an Adaptive Brain-Computer Interface - An Error Potential Approach.

Nuno Figueiredo, Filipe Miguel Teixeira Pereira da Silva, Petia Georgieva, Mariofanna G. Milanova, Engin Mendi

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.

Petia Georgieva, Filipe Miguel Teixeira Pereira da Silva, Lyudmila Mihaylova, Nidhal Bouaynaya

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Brain Neural Data Analysis Using Machine Learning Feature Selection and Classification Methods.

Lachezar Bozhkov, Petia Georgieva, Roumen Trifonov

Proceedings of the Engineering Applications of Neural Networks, 2014

2013

IEETA brain computer interface technologies.

Petia Georgieva, Filipe Miguel Teixeira Pereira da Silva, Nuno Figueiredo

Int. J. Comput. Intell. Stud., 2013

Bayesian Approach for Reconstruction of Moving Brain Dipoles.

Petia Georgieva, Nidhal Bouaynaya, Lyudmila Mihaylova, Filipe Miguel Teixeira Pereira da Silva

Proceedings of the Image Analysis and Recognition - 10th International Conference, 2013

Robust Principal Component Analysis for Brain Imaging.

Petia Georgieva, Fernando De la Torre

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

Robust Principal Component Analysis for Improving Cognitive Brain States Discrimination from fMRI.

Petia Georgieva, Nuttapod Nuntal, Fernando De la Torre

Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

2012

Brain Machine Interface - IEETA case study.

Petia Georgieva, Filipe Miguel Teixeira Pereira da Silva, Nuno Figueiredo

Proceedings of the 6th IEEE International Conference on Intelligent Systems, 2012

Particle filters and beamforming for EEG source estimation.

Petia Georgieva, Lyudmila Mihaylova, Nidhal Bouaynaya, Lakhmi C. Jain

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

Neural networks for model predictive control.

Petia Georgieva, Sebastião Feyo de Azevedo

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Person identification using VEP signals and SVM classifiers.

Aida Ferreira, Carlos Almeida, Petia Georgieva, Ana Maria Tomé

Proceedings of the International Joint Conference on Neural Networks, 2010

Advances in EEG-Based Biometry.

António Ferreira, Carlos Almeida, Petia Georgieva, Ana Maria Tomé, Filipe Miguel Teixeira Pereira da Silva

Proceedings of the Image Analysis and Recognition, 7th International Conference, 2010

2009

Artificial neural networks for modeling in reaction process systems.

Cristina Oliveira, Petia Georgieva, Fernando Rocha, Sebastião Feyo de Azevedo

Neural Comput. Appl., 2009

Computationally efficient process control with neural networkbased predictive models.

Luis A. Paz Suarez, Petia Georgieva, Sebastião Feyo de Azevedo

Proceedings of the International Joint Conference on Neural Networks, 2009

Error tolerant MPC versus PI control - a crystallization case study.

Luis Alberto Paz Suárez, Petia Georgieva, Sebastião Feyo de Azevedo

Proceedings of the 10th European Control Conference, 2009

2007

Sparse Nonnegative Matrix Factorization with Genetic Algorithms for Microarray Analysis.

Kurt Stadlthanner, Dominik Lutter, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Petia Georgieva, Carlos García Puntonet

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.

Petia Georgieva, Cristina Oliveira, Fernando Rocha, Sebastião Feyo de Azevedo

Proceedings of the International Joint Conference on Neural Networks, 2007

2006

An Integral Plus States Adaptive Neural Control of Aerobic Continuous Stirred Tank Reactor.

Ieroham S. Baruch, Petia Georgieva, Josefina Barrera-Cortés

Eng. Lett., 2006

Dynamic Optimisation of Industrial Sugar Crystallization Process based on a Hybrid (mechanistic+ANN) Model.

Vytautas Galvanauskas, Petia Georgieva, Sebastião Feyo de Azevedo

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

Adaptive recurrent neural network control of biological wastewater treatment.

Ieroham S. Baruch, Petia Georgieva, Josefina Barrera-Cortés, Sebastião Feyo de Azevedo

Int. J. Intell. Syst., 2005

On-line monitoring of a sugar crystallization process.

Alexandros Simoglou, Petia Georgieva, Elaine B. Martin, Anthony Julian Morris, Sebastião Feyo de Azevedo

Comput. Chem. Eng., 2005

2002

A Neural Network Based Approach for Measurement Dynamics Compensation.

Petia Georgieva, Sebastião Feyo de Azevedo

Appl. Artif. Intell., 2002

2001

Modelling and Adaptive Control of Aerobic Continuous Stirred Tank Reactors.

Petia Georgieva, Achim Ilchmann, Marie-France Weirig

Eur. J. Control, 2001