Petia Georgieva

86 papers B 11C 8Misc 8Journal 24Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Transfer Learning-Based Channel Estimation Supported by FPGA Dynamic Reconfiguration. IEEE Wirel. Commun. Lett. Fábio D. L. Coutinho, Luís Filipe Almeida, Hugerles S. Silva, Petia Georgieva, Arnaldo S. R. Oliveira
2025	—	`conf`	A Graph Convolutional Network-Based Approach for Dynamic Connectivity Prediction in 5G Networks. INFOCOM WKSHPS Raul Barbosa, Marco Araújo, Petia Georgieva, Susana Sargento, Pedro Rito
2025	J	`jnl`	A Quantization-Aware DL-Based Channel Estimation Algorithm for OFDM Systems. IEEE Access Fábio D. L. Coutinho, Samuel Santos Pereira, Hugerles S. Silva, Petia Georgieva, Arnaldo S. R. Oliveira
2025	—	`conf`	Blemish Detection Algorithms for Image Sensor Improvement and Qualification During Camera Production. MECO André Fernandes, Pedro Cruz, Guilherme Gonçalves, Tsonyo Slavov, Petia Georgieva
2025	B	`conf`	Data-driven Approach for Fatigue Assessment in Swimming Athletes. IJCNN João P. Cardoso, Hugo Veríssimo, Petia Georgieva
2025	—	`conf`	Demo: Mobility-Aware 5G Vehicles Handover via Location-Based RTT Prediction. VNC Raul Barbosa, Bruno Mendes, Afonso Teixeira, Marco Araújo, Daniel Corujo, Petia Georgieva, Susana Sargento
2025	—	`conf`	Edge-Aware Zero-Touch Slice Reconfiguration for Cross-Layer Resource Optimization in 5G Networks. ComComAP Raul Barbosa, Paulo Duarte, João Silva, João Gameiro, Marco Araújo, Susana Sargento, Petia Georgieva, Pedro Rito
2025	—	`conf`	Robust Strategies for Enhanced Glycemic Control in Type I Diabetes. MECO Jordan Kralev, Asparuh Markovski, Tsonyo Slavov, Petia Georgieva
2025	—	`conf`	Uncertain Model Identification in Type I Diabetes: A Robust Control Framework for Glucose Regulation. MECO Jordan Kralev, Asparuh Markovski, Tsonyo Slavov, Petia Georgieva
2024	J	`jnl`	3D Object Detection for Self-Driving Vehicles Enhanced by Object Velocity. IEEE Access Leandro Alexandrino, Hadi Z. Olyaei, André Albuquerque, Petia Georgieva, Miguel V. Drummond
2024	J	`jnl`	A Novel CNN-Based Channel Estimation Algorithm in the Presence of Phase Noise and CFO. IEEE Wirel. Commun. Lett. Fábio D. L. Coutinho, Hugerles S. Silva, Petia Georgieva, Arnaldo S. R. Oliveira
2024	Misc	`conf`	Deep Learning for Multi-class Diagnosis of Thyroid Disorders Using Selective Features. AIMSA Filipa Santana, José Brito, Petia Georgieva
2024	—	`conf`	Efficient News Synopsis Generation with T5 Transformers. IS João António, Lyudmila Mihaylova, Petia Georgieva
2024	—	`conf`	End-to-End Learning System for Symbol Decoding in Optical Communication. IS Manuel S. Neves, Pedro A. Loureiro, Tsonyo Slavov, Petia Georgieva
2024	B	`conf`	Iterative Stacking Regression for Materials Properties Prediction. IJCNN João António, Petia Georgieva
2024	J	`jnl`	Optical Beam Steering in FSO Systems Supported by Computer Vision. IEEE Access André C. Campos, Petia Georgieva, Marco A. Fernandes, Paulo P. Monteiro, Gil M. Fernandes, Fernando P. Guiomar
2024	J	`jnl`	The Synergy between Artificial Intelligence, Remote Sensing, and Archaeological Fieldwork Validation. Remote. Sens. 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
2023	J	`jnl`	Editorial for special section 'IbPRIA22′. Pattern Recognit. Lett. Petia Georgieva
2023	—	`conf`	Quantization Effects in a CNN-based Channel Estimator. RWS Fábio D. L. Coutinho, Hugerles S. Silva, Petia Georgieva, Arnaldo S. R. Oliveira
2023	J	`jnl`	Uncovering Archaeological Sites in Airborne LiDAR Data With Data-Centric Artificial Intelligence. IEEE Access 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
2022	J	`jnl`	5G cascaded channel estimation using convolutional neural networks. Digit. Signal Process. Fábio D. L. Coutinho, Hugerles S. Silva, Petia Georgieva, Arnaldo S. R. Oliveira
2022	Misc	`conf`	An Innovative Vision System for Floor-Cleaning Robots Based on YOLOv5. IbPRIA Daniel Canedo, Pedro Fonseca, Petia Georgieva, António J. R. Neves
2022	—	`ch.`	Automatic Log Analysis to Prevent Cyber Attacks. Advances in Intelligent Systems Research and Innovation André Brandão, Petia Georgieva
2022	—	`conf`	CNN-based Algorithm for Joint Channel and Phase Noise Estimation in OFDM Relay Systems. LATINCOM Fábio D. L. Coutinho, Hugerles S. Silva, Petia Georgieva, Arnaldo S. R. Oliveira
2022	Misc	`conf`	Deep Learning for Diagnosis of Alzheimer's Disease with FDG-PET Neuroimaging. IbPRIA José Bastos, Filipe Silva, Petia Georgieva
2022	Misc	`conf`	Energy Savings in Residential Buildings Based on Adaptive Thermal Comfort Models. IbPRIA Rodrigo Almeida, Petia Georgieva, Nelson Martins
2022	Misc	`ed.`	Pattern Recognition and Image Analysis - 10th Iberian Conference, IbPRIA 2022, Aveiro, Portugal, May 4-6, 2022, Proceedings IbPRIA Armando J. Pinho, Petia Georgieva, Luís F. Teixeira, Joan-Andreu Sánchez
2021	—	`conf`	Machine Learning Approach for Online Monitoring of Quality of Transmission Performance Indicators in Optical Fiber Networks. ECOC Ricardo Pousa, Petia Georgieva, José Pina, Pedro Cruz, Paulo S. André
2021	C	`conf`	Out of Training Distribution Detection for Multi-Class Skin Lesion Diagnosis. INISTA Fábio Santos, Filipe Silva, Petia Georgieva
2021	J	`jnl`	Robot Anticipation Learning System for Ball Catching. Robotics Diogo Carneiro, Filipe Silva, Petia Georgieva
2021	C	`conf`	Transfer Learning for Skin Lesion Classification using Convolutional Neural Networks. INISTA Fábio Santos, Filipe Silva, Petia Georgieva
2020	—	`conf`	Automated Diagnosis of Skin Lesions. IEEE Conf. on Intelligent Systems Fábio Santos, Filipe Silva, Petia Georgieva
2020	J	`jnl`	Deep learning models for brain machine interfaces. Ann. Math. Artif. Intell. Lachezar Bozhkov, Petia Georgieva
2020	—	`conf`	Log Files Analysis For Network Intrusion Detection. IEEE Conf. on Intelligent Systems André Brandão, Petia Georgieva
2020	—	`conf`	Optical Character Recognition for Autonomous Stores. IEEE Conf. on Intelligent Systems Petia Georgieva, Pei Zhang
2020	—	`conf`	Trajectory design of an Aircraft for Circular Motion. ICCA Nicholas DeCicco, Kristine Napolitano, Russell Trafford, Petia Georgieva, Nidhal Bouaynaya, Robi Polikar
2019	—	`conf`	Breaking Text-Based CAPTCHA with Sparse Convolutional Neural Networks. IbPRIA (2) Diogo Daniel Ferreira, Luís Leira, Petya Mihaylova, Petia Georgieva
2019	—	`conf`	Data Analytics for Home Air Quality Monitoring. FABULOUS Petya Mihaylova, Agata Manolova, Petia Georgieva
2019	—	`conf`	Deep Learning in Brain Computer Interfaces. BCI Petia Georgieva
2019	—	`conf`	ECG-Based Human Emotion Recognition Across Multiple Subjects. FABULOUS Desislava Nikolova, Petia Mihaylova, Agata Manolova, Petia Georgieva
2019	—	`conf`	Incremental Learning for Football Match Outcomes Prediction. IbPRIA (2) José Domingues, Bernardo Lopes, Petya Mihaylova, Petia Georgieva
2019	—	`conf`	Reinforcement Learning and Neuroevolution in Flappy Bird Game. IbPRIA (1) André Brandão, Pedro Pires, Petia Georgieva
2019	C	`conf`	Stream Generation: Markov Chains vs GANs. IoTBDS Ricardo Jesus, Mário Antunes, Petia Georgieva, Diogo Gomes, Rui L. Aguiar
2018	—	`conf`	An Intelligent Tool for Detection of Phishing Messages. SoCPaR Marcos Pires, Petia Georgieva
2018	J	`jnl`	Factor Analysis for Finding Invariant Neural Descriptors of Human Emotions. Complex. Vitor Pereira, Filipe Tavares, Petya Mihaylova, Valeri M. Mladenov, Petia Georgieva
2018	B	`conf`	Overview of Deep Learning Architectures for EEG-based Brain Imaging. IJCNN Lachezar Bozhkov, Petia Georgieva
2018	—	`conf`	The role of early anticipations for human-robot ball catching. ICARSC Diogo Carneiro, Filipe Miguel Teixeira Pereira da Silva, Petia Georgieva
2017	J	`jnl`	Reservoir computing for emotion valence discrimination from EEG signals. Neurocomputing Lachezar Bozhkov, Petia D. Koprinkova-Hristova, Petia Georgieva
2016	J	`jnl`	A Beamformer-Particle Filter Framework for Localization of Correlated EEG Sources. IEEE J. Biomed. Health Informatics Petia Georgieva, Nidhal Bouaynaya, Filipe Miguel Teixeira Pereira da Silva, Lyudmila Mihaylova, Lakhmi C. Jain
2016	—	`conf`	EEG dynamic source localization using constrained particle filtering. SSCI Nesrine Amor, Nidhal Bouaynaya, Petia Georgieva, Roman Shterenberg, Souad Chebbi
2016	—	`conf`	Face recognition based on subject dependent Hidden Markov Models. BlackSeaCom Petya Dinkova, Petia Georgieva, Agata Manolova, Mariofanna G. Milanova
2016	J	`jnl`	Learning to decode human emotions with Echo State Networks. Neural Networks Lachezar Bozhkov, Petia D. Koprinkova-Hristova, Petia Georgieva
2016	—	`conf`	Regression approach for automatic detection of attention lapses. IEEE Conf. on Intelligent Systems Krasimira Georgieva, Olga Georgieva, Petia Georgieva, Maria J. Ribeiro, Joana S. Paiva
2015	C	`ed.`	29th European Conference on Modelling and Simulation, ECMS 2015, Albena (Varna), Bulgaria, May 26-29, 2015. Proceedings. ECMS Valeri M. Mladenov, Grisha Spasov, Petia Georgieva, Galidia Petrova
2015	Misc	`conf`	Brain Neural Data Analysis with Feature Space Defined by Descriptive Statistics. IbPRIA Lachezar Bozhkov, Petia Georgieva
2015	C	`conf`	Comparison of consumer purchase intention between interactive and augmented reality shopping platforms through statistical analyses. INISTA Jasmina Stoyanova, Pedro Quelhas Brito, Petia Georgieva, Mariofanna G. Milanova
2015	—	`conf`	EEG dynamic source localization using Marginalized Particle Filtering. BIBM Bradley Ebinger, Nidhal Bouaynaya, Petia Georgieva, Lyudmila Mihaylova
2015	—	`conf`	EEG-based Subject Independent Affective Computing Models. INNS Conference on Big Data Lachezar Bozhkov, Petia Georgieva, Isabel M. Santos, Ana Teresa Pereira, Carlos F. Silva
2015	Misc	`conf`	Echo State Networks for Feature Selection in Affective Computing. PAAMS Petia D. Koprinkova-Hristova, Lachezar Bozhkov, Petia Georgieva
2015	J	`jnl`	Learning to decode human emotions from event-related potentials. Neural Comput. Appl. Olga Georgieva, Sergey Milanov, Petia Georgieva, Isabel M. Santos, Ana Teresa Pereira, Carlos F. Silva
2014	C	`conf`	Brain Neural Data Analysis Using Machine Learning Feature Selection and Classification Methods. EANN Lachezar Bozhkov, Petia Georgieva, Roumen Trifonov
2014	C	`conf`	Classification models of emotional biosignals evoked while viewing affective pictures. SIMULTECH Lachezar Bozhkov, Petia Georgieva
2014	—	`ch.`	Error Tolerant Predictive Control Based on Recurrent Neural Models. Innovations in Intelligent Machines (5) Petia Georgieva, Sebastião Feyo de Azevedo
2014	B	`conf`	Statistical approach for reconstruction of dynamic brain dipoles based on EEG data. IJCNN Petia Georgieva, Filipe Miguel Teixeira Pereira da Silva, Lyudmila Mihaylova, Nidhal Bouaynaya
2014	—	`conf`	Towards an Adaptive Brain-Computer Interface - An Error Potential Approach. MPRSS Nuno Figueiredo, Filipe Miguel Teixeira Pereira da Silva, Petia Georgieva, Mariofanna G. Milanova, Engin Mendi
2014	J	`jnl`	Unsupervised EEG biosignal discrimination. Int. J. Reason. based Intell. Syst. Olga Georgieva, Sergey Milanov, Petia Georgieva
2013	—	`conf`	Bayesian Approach for Reconstruction of Moving Brain Dipoles. ICIAR Petia Georgieva, Nidhal Bouaynaya, Lyudmila Mihaylova, Filipe Miguel Teixeira Pereira da Silva
2013	J	`jnl`	IEETA brain computer interface technologies. Int. J. Comput. Intell. Stud. Petia Georgieva, Filipe Miguel Teixeira Pereira da Silva, Nuno Figueiredo
2013	C	`conf`	Robust Principal Component Analysis for Brain Imaging. ICANN Petia Georgieva, Fernando De la Torre
2013	Misc	`conf`	Robust Principal Component Analysis for Improving Cognitive Brain States Discrimination from fMRI. IbPRIA Petia Georgieva, Nuttapod Nuntal, Fernando De la Torre
2012	—	`conf`	Brain Machine Interface - IEETA case study. IEEE Conf. of Intelligent Systems Petia Georgieva, Filipe Miguel Teixeira Pereira da Silva, Nuno Figueiredo
2012	B	`conf`	Particle filters and beamforming for EEG source estimation. IJCNN Petia Georgieva, Lyudmila Mihaylova, Nidhal Bouaynaya, Lakhmi C. Jain
2011	B	`conf`	Neural networks for model predictive control. IJCNN Petia Georgieva, Sebastião Feyo de Azevedo
2010	—	`conf`	Advances in EEG-Based Biometry. ICIAR (2) António Ferreira, Carlos Almeida, Petia Georgieva, Ana Maria Tomé, Filipe Miguel Teixeira Pereira da Silva
2010	B	`conf`	Person identification using VEP signals and SVM classifiers. IJCNN Aida Ferreira, Carlos Almeida, Petia Georgieva, Ana Maria Tomé
2009	J	`jnl`	Artificial neural networks for modeling in reaction process systems. Neural Comput. Appl. Cristina Oliveira, Petia Georgieva, Fernando Rocha, Sebastião Feyo de Azevedo
2009	B	`conf`	Computationally efficient process control with neural networkbased predictive models. IJCNN Luis A. Paz Suarez, Petia Georgieva, Sebastião Feyo de Azevedo
2009	—	`conf`	Error tolerant MPC versus PI control - a crystallization case study. ECC Luis Alberto Paz Suárez, Petia Georgieva, Sebastião Feyo de Azevedo
2007	B	`conf`	Process modeling strategy combining analytical and data based techniques - I. NN identification of reaction rates with known kinetics coefficients. IJCNN Petia Georgieva, Cristina Oliveira, Fernando Rocha, Sebastião Feyo de Azevedo
2007	B	`conf`	Sparse Nonnegative Matrix Factorization with Genetic Algorithms for Microarray Analysis. IJCNN Kurt Stadlthanner, Dominik Lutter, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Petia Georgieva, Carlos García Puntonet
2006	J	`jnl`	An Integral Plus States Adaptive Neural Control of Aerobic Continuous Stirred Tank Reactor. Eng. Lett. Ieroham S. Baruch, Petia Georgieva, Josefina Barrera-Cortés
2006	B	`conf`	Dynamic Optimisation of Industrial Sugar Crystallization Process based on a Hybrid (mechanistic+ANN) Model. IJCNN Vytautas Galvanauskas, Petia Georgieva, Sebastião Feyo de Azevedo
2005	J	`jnl`	Adaptive recurrent neural network control of biological wastewater treatment. Int. J. Intell. Syst. Ieroham S. Baruch, Petia Georgieva, Josefina Barrera-Cortés, Sebastião Feyo de Azevedo
2005	J	`jnl`	On-line monitoring of a sugar crystallization process. Comput. Chem. Eng. Alexandros Simoglou, Petia Georgieva, Elaine B. Martin, Anthony Julian Morris, Sebastião Feyo de Azevedo
2002	J	`jnl`	A Neural Network Based Approach for Measurement Dynamics Compensation. Appl. Artif. Intell. Petia Georgieva, Sebastião Feyo de Azevedo
2001	J	`jnl`	Modelling and Adaptive Control of Aerobic Continuous Stirred Tank Reactors. Eur. J. Control Petia Georgieva, Achim Ilchmann, Marie-France Weirig