Petia Georgieva

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 44

Top Topics

Feature Selection

Top Venues

IEEE Conf. on Intelligent Systems

Publications

Daniel Canedo, João Hipólito, João Fonte, Rita Dias, Tiago Do Pereiro, Petia Georgieva, Luis Gonçalves-Seco, Marta Vázquez, Nelson Pires, Pastor Fábrega-Álvarez, Fernando Menéndez-Marsh, António J. R. Neves
The Synergy between Artificial Intelligence, Remote Sensing, and Archaeological Fieldwork Validation. Remote. Sens. 16 (11) (2024)
André C. Campos, Petia Georgieva, Marco A. Fernandes, Paulo P. Monteiro, Gil M. Fernandes, Fernando P. Guiomar
Optical Beam Steering in FSO Systems Supported by Computer Vision. IEEE Access 12 (2024)
Leandro Alexandrino, Hadi Z. Olyaei, André Albuquerque, Petia Georgieva, Miguel V. Drummond
3D Object Detection for Self-Driving Vehicles Enhanced by Object Velocity. IEEE Access 12 (2024)
Fábio D. L. Coutinho, Hugerles S. Silva, Petia Georgieva, Arnaldo S. R. Oliveira
A Novel CNN-Based Channel Estimation Algorithm in the Presence of Phase Noise and CFO. IEEE Wirel. Commun. Lett. 13 (1) (2024)
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
Uncovering Archaeological Sites in Airborne LiDAR Data With Data-Centric Artificial Intelligence. IEEE Access 11 (2023)
Fábio D. L. Coutinho, Hugerles S. Silva, Petia Georgieva, Arnaldo S. R. Oliveira
Quantization Effects in a CNN-based Channel Estimator. RWS (2023)
Petia Georgieva
Editorial for special section 'IbPRIA22′. Pattern Recognit. Lett. 168 (2023)
Fábio D. L. Coutinho, Hugerles S. Silva, Petia Georgieva, Arnaldo S. R. Oliveira
CNN-based Algorithm for Joint Channel and Phase Noise Estimation in OFDM Relay Systems. LATINCOM (2022)
Rodrigo Almeida, Petia Georgieva, Nelson Martins
Energy Savings in Residential Buildings Based on Adaptive Thermal Comfort Models. IbPRIA (2022)
José Bastos, Filipe Silva, Petia Georgieva
Deep Learning for Diagnosis of Alzheimer's Disease with FDG-PET Neuroimaging. IbPRIA (2022)
Daniel Canedo, Pedro Fonseca, Petia Georgieva, António J. R. Neves
An Innovative Vision System for Floor-Cleaning Robots Based on YOLOv5. IbPRIA (2022)
Fábio D. L. Coutinho, Hugerles S. Silva, Petia Georgieva, Arnaldo S. R. Oliveira
5G cascaded channel estimation using convolutional neural networks. Digit. Signal Process. 126 (2022)
Diogo Carneiro, Filipe Silva, Petia Georgieva
Robot Anticipation Learning System for Ball Catching. Robotics 10 (4) (2021)
Fábio Santos, Filipe Silva, Petia Georgieva
Out of Training Distribution Detection for Multi-Class Skin Lesion Diagnosis. INISTA (2021)
Ricardo Pousa, Petia Georgieva, José Pina, Pedro Cruz, Paulo André
Machine Learning Approach for Online Monitoring of Quality of Transmission Performance Indicators in Optical Fiber Networks. ECOC (2021)
Fábio Santos, Filipe Silva, Petia Georgieva
Transfer Learning for Skin Lesion Classification using Convolutional Neural Networks. INISTA (2021)
Nicholas DeCicco, Kristine Napolitano, Russell Trafford, Petia Georgieva, Nidhal Bouaynaya, Robi Polikar
Trajectory design of an Aircraft for Circular Motion. ICCA (2020)
Lachezar Bozhkov, Petia Georgieva
Deep learning models for brain machine interfaces. Ann. Math. Artif. Intell. 88 (11) (2020)
Fábio Santos, Filipe Silva, Petia Georgieva
Automated Diagnosis of Skin Lesions. IEEE Conf. on Intelligent Systems (2020)
Petia Georgieva, Pei Zhang
Optical Character Recognition for Autonomous Stores. IEEE Conf. on Intelligent Systems (2020)
André Brandão, Petia Georgieva
Log Files Analysis For Network Intrusion Detection. IEEE Conf. on Intelligent Systems (2020)
Diogo Daniel Ferreira, Luís Leira, Petya Mihaylova, Petia Georgieva
Breaking Text-Based CAPTCHA with Sparse Convolutional Neural Networks. IbPRIA (2) (2019)
André Brandão, Pedro Pires, Petia Georgieva
Reinforcement Learning and Neuroevolution in Flappy Bird Game. IbPRIA (1) (2019)
José Domingues, Bernardo Lopes, Petya Mihaylova, Petia Georgieva
Incremental Learning for Football Match Outcomes Prediction. IbPRIA (2) (2019)
Petya Mihaylova, Agata Manolova, Petia Georgieva
Data Analytics for Home Air Quality Monitoring. FABULOUS (2019)
Desislava Nikolova, Petia Mihaylova, Agata Manolova, Petia Georgieva
ECG-Based Human Emotion Recognition Across Multiple Subjects. FABULOUS (2019)
Ricardo Jesus, Mário Antunes, Petia Georgieva, Diogo Gomes, Rui L. Aguiar
Stream Generation: Markov Chains vs GANs. IoTBDS (2019)
Petia Georgieva
Deep Learning in Brain Computer Interfaces. BCI (2019)
Marcos Pires, Petia Georgieva
An Intelligent Tool for Detection of Phishing Messages. SoCPaR (2018)
Vitor Pereira, Filipe Tavares, Petya Mihaylova, Valeri M. Mladenov, Petia Georgieva
Factor Analysis for Finding Invariant Neural Descriptors of Human Emotions. Complex. 2018 (2018)
Lachezar Bozhkov, Petia Georgieva
Overview of Deep Learning Architectures for EEG-based Brain Imaging. IJCNN (2018)
Diogo Carneiro, Filipe Miguel Teixeira Pereira da Silva, Petia Georgieva
The role of early anticipations for human-robot ball catching. ICARSC (2018)
Lachezar Bozhkov, Petia D. Koprinkova-Hristova, Petia Georgieva
Reservoir computing for emotion valence discrimination from EEG signals. Neurocomputing 231 (2017)
Nesrine Amor, Nidhal Bouaynaya, Petia Georgieva, Roman Shterenberg, Souad Chebbi
EEG dynamic source localization using constrained particle filtering. SSCI (2016)
Petia Georgieva, Nidhal Bouaynaya, Filipe Miguel Teixeira Pereira da Silva, Lyudmila Mihaylova, Lakhmi C. Jain
A Beamformer-Particle Filter Framework for Localization of Correlated EEG Sources. IEEE J. Biomed. Health Informatics 20 (3) (2016)
Krasimira Georgieva, Olga Georgieva, Petia Georgieva, Maria J. Ribeiro, Joana S. Paiva
Regression approach for automatic detection of attention lapses. IEEE Conf. on Intelligent Systems (2016)
Petya Dinkova, Petia Georgieva, Agata Manolova, Mariofanna G. Milanova
Face recognition based on subject dependent Hidden Markov Models. BlackSeaCom (2016)
Lachezar Bozhkov, Petia D. Koprinkova-Hristova, Petia Georgieva
Learning to decode human emotions with Echo State Networks. Neural Networks 78 (2016)
Olga Georgieva, Sergey Milanov, Petia Georgieva, Isabel M. Santos, Ana Teresa Pereira, Carlos F. Silva
Learning to decode human emotions from event-related potentials. Neural Comput. Appl. 26 (3) (2015)
Jasmina Stoyanova, Pedro Quelhas Brito, Petia Georgieva, Mariofanna G. Milanova
Comparison of consumer purchase intention between interactive and augmented reality shopping platforms through statistical analyses. INISTA (2015)
Petia D. Koprinkova-Hristova, Lachezar Bozhkov, Petia Georgieva
Echo State Networks for Feature Selection in Affective Computing. PAAMS (2015)
Lachezar Bozhkov, Petia Georgieva, Isabel M. Santos, Ana Teresa Pereira, Carlos F. Silva
EEG-based Subject Independent Affective Computing Models. INNS Conference on Big Data (2015)
Bradley Ebinger, Nidhal Bouaynaya, Petia Georgieva, Lyudmila Mihaylova
EEG dynamic source localization using Marginalized Particle Filtering. BIBM (2015)
Lachezar Bozhkov, Petia Georgieva
Brain Neural Data Analysis with Feature Space Defined by Descriptive Statistics. IbPRIA (2015)
Lachezar Bozhkov, Petia Georgieva, Roumen Trifonov
Brain Neural Data Analysis Using Machine Learning Feature Selection and Classification Methods. EANN (2014)
Lachezar Bozhkov, Petia Georgieva
Classification models of emotional biosignals evoked while viewing affective pictures. SIMULTECH (2014)
Olga Georgieva, Sergey Milanov, Petia Georgieva
Unsupervised EEG biosignal discrimination. Int. J. Reason. based Intell. Syst. 6 (3/4) (2014)
Nuno Figueiredo, Filipe Miguel Teixeira Pereira da Silva, Petia Georgieva, Mariofanna G. Milanova, Engin Mendi
Towards an Adaptive Brain-Computer Interface - An Error Potential Approach. MPRSS (2014)
Petia Georgieva, Filipe Miguel Teixeira Pereira da Silva, Lyudmila Mihaylova, Nidhal Bouaynaya
Statistical approach for reconstruction of dynamic brain dipoles based on EEG data. IJCNN (2014)
Petia Georgieva, Fernando De la Torre
Robust Principal Component Analysis for Brain Imaging. ICANN (2013)
Petia Georgieva, Nidhal Bouaynaya, Lyudmila Mihaylova, Filipe Miguel Teixeira Pereira da Silva
Bayesian Approach for Reconstruction of Moving Brain Dipoles. ICIAR (2013)
Petia Georgieva, Filipe Miguel Teixeira Pereira da Silva, Nuno Figueiredo
IEETA brain computer interface technologies. Int. J. Comput. Intell. Stud. 2 (3/4) (2013)
Petia Georgieva, Nuttapod Nuntal, Fernando De la Torre
Robust Principal Component Analysis for Improving Cognitive Brain States Discrimination from fMRI. IbPRIA (2013)
Petia Georgieva, Lyudmila Mihaylova, Nidhal Bouaynaya, Lakhmi C. Jain
Particle filters and beamforming for EEG source estimation. IJCNN (2012)
Petia Georgieva, Filipe Miguel Teixeira Pereira da Silva, Nuno Figueiredo
Brain Machine Interface - IEETA case study. IEEE Conf. of Intelligent Systems (2012)
Petia Georgieva, Sebastião Feyo de Azevedo
Neural networks for model predictive control. IJCNN (2011)
António Ferreira, Carlos Almeida, Petia Georgieva, Ana Maria Tomé, Filipe Miguel Teixeira Pereira da Silva
Advances in EEG-Based Biometry. ICIAR (2) (2010)
Aida Ferreira, Carlos Almeida, Petia Georgieva, Ana Maria Tomé
Person identification using VEP signals and SVM classifiers. IJCNN (2010)
Luis Alberto Paz Suárez, Petia Georgieva, Sebastião Feyo de Azevedo
Error tolerant MPC versus PI control - a crystallization case study. ECC (2009)
Cristina Oliveira, Petia Georgieva, Fernando Rocha, Sebastião Feyo de Azevedo
Artificial neural networks for modeling in reaction process systems. Neural Comput. Appl. 18 (1) (2009)
Luis A. Paz Suarez, Petia Georgieva, Sebastião Feyo de Azevedo
Computationally efficient process control with neural networkbased predictive models. IJCNN (2009)
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)
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)
Vytautas Galvanauskas, Petia Georgieva, Sebastião Feyo de Azevedo
Dynamic Optimisation of Industrial Sugar Crystallization Process based on a Hybrid (mechanistic+ANN) Model. IJCNN (2006)
Ieroham S. Baruch, Petia Georgieva, Josefina Barrera-Cortés
An Integral Plus States Adaptive Neural Control of Aerobic Continuous Stirred Tank Reactor. Eng. Lett. 13 (2) (2006)
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) (2005)
Alexandros Simoglou, Petia Georgieva, Elaine B. Martin, Anthony Julian Morris, Sebastião Feyo de Azevedo
On-line monitoring of a sugar crystallization process. Comput. Chem. Eng. 29 (6) (2005)
Petia Georgieva, Sebastião Feyo de Azevedo
A Neural Network Based Approach for Measurement Dynamics Compensation. Appl. Artif. Intell. 16 (6) (2002)
Petia Georgieva, Achim Ilchmann, Marie-France Weirig
Modelling and Adaptive Control of Aerobic Continuous Stirred Tank Reactors. Eur. J. Control 7 (5) (2001)