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ORCIDPetia Georgieva
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- affiliation: University of Aveiro, Portugal
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2020 – today
- 2024
[j22]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: 8220-8229 (2024)- [j21]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: 73793-73809 (2024) - [j20]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): 1933 (2024) - [j19]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): 193-197 (2024) - [c50]João António, Petia Georgieva:
Iterative Stacking Regression for Materials Properties Prediction. IJCNN 2024: 1-6 - [c49]João António, Lyudmila Mihaylova, Petia Georgieva:
Efficient News Synopsis Generation with T5 Transformers. IS 2024: 1-7 - [c48]Manuel S. Neves, Pedro A. Loureiro, Tsonyo Slavov, Petia Georgieva:
End-to-End Learning System for Symbol Decoding in Optical Communication. IS 2024: 1-6 - 2023
- [j18]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: 65608-65619 (2023) - [j17]Petia Georgieva:
Editorial for special section 'IbPRIA22′. Pattern Recognit. Lett. 168: 153 (2023) - [c47]Fábio D. L. Coutinho, Hugerles S. Silva, Petia Georgieva, Arnaldo S. R. Oliveira:
Quantization Effects in a CNN-based Channel Estimator. RWS 2023: 58-60 - 2022
- [j16]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: 103483 (2022) - [c46]José Bastos, Filipe Silva, Petia Georgieva:
Deep Learning for Diagnosis of Alzheimer's Disease with FDG-PET Neuroimaging. IbPRIA 2022: 95-107 - [c45]Daniel Canedo, Pedro Fonseca, Petia Georgieva, António J. R. Neves:
An Innovative Vision System for Floor-Cleaning Robots Based on YOLOv5. IbPRIA 2022: 378-389 - [c44]Rodrigo Almeida, Petia Georgieva, Nelson Martins:
Energy Savings in Residential Buildings Based on Adaptive Thermal Comfort Models. IbPRIA 2022: 642-654 - [c43]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: 1-6 - [p2]André Brandão, Petia Georgieva:
Automatic Log Analysis to Prevent Cyber Attacks. Advances in Intelligent Systems Research and Innovation 2022: 315-339 - [e2]Armando J. Pinho, Petia Georgieva, Luís F. Teixeira, Joan-Andreu Sánchez:
Pattern Recognition and Image Analysis - 10th Iberian Conference, IbPRIA 2022, Aveiro, Portugal, May 4-6, 2022, Proceedings. Lecture Notes in Computer Science 13256, Springer 2022, ISBN 978-3-031-04880-7 [contents] - 2021
- [j15]Diogo Carneiro, Filipe Silva, Petia Georgieva:
Robot Anticipation Learning System for Ball Catching. Robotics 10(4): 113 (2021) - [c42]Ricardo Pousa, Petia Georgieva, José Pina, Pedro Cruz, Paulo S. André:
Machine Learning Approach for Online Monitoring of Quality of Transmission Performance Indicators in Optical Fiber Networks. ECOC 2021: 1-4 - [c41]Fábio Santos, Filipe Silva, Petia Georgieva:
Transfer Learning for Skin Lesion Classification using Convolutional Neural Networks. INISTA 2021: 1-6 - [c40]Fábio Santos, Filipe Silva, Petia Georgieva:
Out of Training Distribution Detection for Multi-Class Skin Lesion Diagnosis. INISTA 2021: 1-6 - 2020
- [j14]Lachezar Bozhkov, Petia Georgieva:
Deep learning models for brain machine interfaces. Ann. Math. Artif. Intell. 88(11): 1175-1190 (2020) - [c39]Nicholas DeCicco, Kristine Napolitano, Russell Trafford, Petia Georgieva, Nidhal Bouaynaya, Robi Polikar:
Trajectory design of an Aircraft for Circular Motion. ICCA 2020: 373-377 - [c38]Petia Georgieva, Pei Zhang:
Optical Character Recognition for Autonomous Stores. IEEE Conf. on Intelligent Systems 2020: 69-75 - [c37]André Brandão, Petia Georgieva:
Log Files Analysis For Network Intrusion Detection. IEEE Conf. on Intelligent Systems 2020: 328-333 - [c36]Fábio Santos, Filipe Silva, Petia Georgieva:
Automated Diagnosis of Skin Lesions. IEEE Conf. on Intelligent Systems 2020: 545-550
2010 – 2019
- 2019
- [c35]Petia Georgieva:
Deep Learning in Brain Computer Interfaces. BCI 2019: 2:1-2:2 - [c34]Desislava Nikolova, Petia Mihaylova, Agata Manolova, Petia Georgieva:
ECG-Based Human Emotion Recognition Across Multiple Subjects. FABULOUS 2019: 25-36 - [c33]Petya Mihaylova, Agata Manolova, Petia Georgieva:
Data Analytics for Home Air Quality Monitoring. FABULOUS 2019: 79-88 - [c32]José Domingues, Bernardo Lopes, Petya Mihaylova, Petia Georgieva:
Incremental Learning for Football Match Outcomes Prediction. IbPRIA (2) 2019: 217-228 - [c31]André Brandão, Pedro Pires, Petia Georgieva:
Reinforcement Learning and Neuroevolution in Flappy Bird Game. IbPRIA (1) 2019: 225-236 - [c30]Diogo Daniel Ferreira, Luís Leira, Petya Mihaylova, Petia Georgieva:
Breaking Text-Based CAPTCHA with Sparse Convolutional Neural Networks. IbPRIA (2) 2019: 404-415 - [c29]Ricardo Jesus, Mário Antunes, Petia Georgieva, Diogo Gomes, Rui L. Aguiar:
Stream Generation: Markov Chains vs GANs. IoTBDS 2019: 177-184 - 2018
- [j13]Vitor Pereira, Filipe Tavares, Petya Mihaylova, Valeri M. Mladenov, Petia Georgieva:
Factor Analysis for Finding Invariant Neural Descriptors of Human Emotions. Complex. 2018: 6740846:1-6740846:8 (2018) - [c28]Diogo Carneiro, Filipe Miguel Teixeira Pereira da Silva, Petia Georgieva:
The role of early anticipations for human-robot ball catching. ICARSC 2018: 10-16 - [c27]Lachezar Bozhkov, Petia Georgieva:
Overview of Deep Learning Architectures for EEG-based Brain Imaging. IJCNN 2018: 1-7 - [c26]Marcos Pires, Petia Georgieva:
An Intelligent Tool for Detection of Phishing Messages. SoCPaR 2018: 116-125 - 2017
- [j12]Lachezar Bozhkov, Petia D. Koprinkova-Hristova, Petia Georgieva:
Reservoir computing for emotion valence discrimination from EEG signals. Neurocomputing 231: 28-40 (2017) - 2016
- [j11]Lachezar Bozhkov, Petia D. Koprinkova-Hristova, Petia Georgieva:
Learning to decode human emotions with Echo State Networks. Neural Networks 78: 112-119 (2016) - [j10]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): 880-892 (2016) - [c25]Petya Dinkova, Petia Georgieva, Agata Manolova, Mariofanna G. Milanova:
Face recognition based on subject dependent Hidden Markov Models. BlackSeaCom 2016: 1-5 - [c24]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: 370-375 - [c23]Nesrine Amor, Nidhal Bouaynaya, Petia Georgieva, Roman Shterenberg, Souad Chebbi:
EEG dynamic source localization using constrained particle filtering. SSCI 2016: 1-8 - 2015
- [j9]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): 573-580 (2015) - [c22]Bradley Ebinger, Nidhal Bouaynaya, Petia Georgieva, Lyudmila Mihaylova:
EEG dynamic source localization using Marginalized Particle Filtering. BIBM 2015: 454-457 - [c21]Lachezar Bozhkov, Petia Georgieva:
Brain Neural Data Analysis with Feature Space Defined by Descriptive Statistics. IbPRIA 2015: 415-422 - [c20]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: 1-8 - [c19]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: 375-382 - [c18]Petia D. Koprinkova-Hristova, Lachezar Bozhkov, Petia Georgieva:
Echo State Networks for Feature Selection in Affective Computing. PAAMS 2015: 131-141 - [e1]Valeri M. Mladenov, Grisha Spasov, Petia Georgieva, Galidia Petrova:
29th European Conference on Modelling and Simulation, ECMS 2015, Albena (Varna), Bulgaria, May 26-29, 2015. Proceedings. European Council for Modeling and Simulation 2015, ISBN 978-0-9932440-0-1 [contents] - 2014
- [j8]Olga Georgieva, Sergey Milanov, Petia Georgieva:
Unsupervised EEG biosignal discrimination. Int. J. Reason. based Intell. Syst. 6(3/4): 118-125 (2014) - [c17]Lachezar Bozhkov, Petia Georgieva, Roumen Trifonov:
Brain Neural Data Analysis Using Machine Learning Feature Selection and Classification Methods. EANN 2014: 123-132 - [c16]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: 2592-2599 - [c15]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: 123-129 - [c14]Lachezar Bozhkov, Petia Georgieva:
Classification models of emotional biosignals evoked while viewing affective pictures. SIMULTECH 2014: 601-606 - [p1]Petia Georgieva, Sebastião Feyo de Azevedo:
Error Tolerant Predictive Control Based on Recurrent Neural Models. Innovations in Intelligent Machines (5) 2014: 45-72 - 2013
- [j7]Petia Georgieva, Filipe Miguel Teixeira Pereira da Silva, Nuno Figueiredo:
IEETA brain computer interface technologies. Int. J. Comput. Intell. Stud. 2(3/4): 314-332 (2013) - [c13]Petia Georgieva, Nuttapod Nuntal, Fernando De la Torre:
Robust Principal Component Analysis for Improving Cognitive Brain States Discrimination from fMRI. IbPRIA 2013: 165-172 - [c12]Petia Georgieva, Fernando De la Torre:
Robust Principal Component Analysis for Brain Imaging. ICANN 2013: 288-295 - [c11]Petia Georgieva, Nidhal Bouaynaya, Lyudmila Mihaylova, Filipe Miguel Teixeira Pereira da Silva:
Bayesian Approach for Reconstruction of Moving Brain Dipoles. ICIAR 2013: 565-572 - 2012
- [c10]Petia Georgieva, Lyudmila Mihaylova, Nidhal Bouaynaya, Lakhmi C. Jain:
Particle filters and beamforming for EEG source estimation. IJCNN 2012: 1-8 - [c9]Petia Georgieva, Filipe Miguel Teixeira Pereira da Silva, Nuno Figueiredo:
Brain Machine Interface - IEETA case study. IEEE Conf. of Intelligent Systems 2012: 374-379 - 2011
- [c8]Petia Georgieva, Sebastião Feyo de Azevedo:
Neural networks for model predictive control. IJCNN 2011: 111-118 - 2010
- [c7]António Ferreira, Carlos Almeida, Petia Georgieva, Ana Maria Tomé, Filipe Miguel Teixeira Pereira da Silva:
Advances in EEG-Based Biometry. ICIAR (2) 2010: 287-295 - [c6]Aida Ferreira, Carlos Almeida, Petia Georgieva, Ana Maria Tomé:
Person identification using VEP signals and SVM classifiers. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j6]Cristina Oliveira, Petia Georgieva, Fernando Rocha, Sebastião Feyo de Azevedo:
Artificial neural networks for modeling in reaction process systems. Neural Comput. Appl. 18(1): 15-24 (2009) - [c5]Luis Alberto Paz Suárez, Petia Georgieva, Sebastião Feyo de Azevedo:
Error tolerant MPC versus PI control - a crystallization case study. ECC 2009: 2899-2904 - [c4]Luis A. Paz Suarez, Petia Georgieva, Sebastião Feyo de Azevedo:
Computationally efficient process control with neural networkbased predictive models. IJCNN 2009: 2990-2997 - 2007
- [c3]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: 294-299 - [c2]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: 1530-1535 - 2006
- [j5]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): 84-92 (2006) - [c1]Vytautas Galvanauskas, Petia Georgieva, Sebastião Feyo de Azevedo:
Dynamic Optimisation of Industrial Sugar Crystallization Process based on a Hybrid (mechanistic+ANN) Model. IJCNN 2006: 2728-2735 - 2005
- [j4]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): 1411-1422 (2005) - [j3]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): 173-193 (2005) - 2002
- [j2]Petia Georgieva, Sebastião Feyo de Azevedo:
A Neural Network Based Approach for Measurement Dynamics Compensation. Appl. Artif. Intell. 16(6): 423-442 (2002) - 2001
- [j1]Petia Georgieva, Achim Ilchmann, Marie-France Weirig:
Modelling and Adaptive Control of Aerobic Continuous Stirred Tank Reactors. Eur. J. Control 7(5): 476-491 (2001)
Coauthor Index
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last updated on 2024-10-23 20:32 CEST by the dblp team
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