| 2026 | NetSoft | A GenAI-Driven Multi-Agent Framework for Explainable Intent-Based Slice Recommendation. | Rui Ferreira, Raul Barbosa, Marco Arajo, Petia Georgieva, Susana Sargento, Anabela Tereso, Paulo Novais, Pedro Rito, Bruno Mendes |
| 2025 | IJCNN | Data-driven Approach for Fatigue Assessment in Swimming Athletes. | Joo P. Cardoso, Hugo Verssimo, Petia Georgieva |
| 2025 | INFOCOM | A Graph Convolutional Network-Based Approach for Dynamic Connectivity Prediction in 5G Networks. | Raul Barbosa, Marco Arajo, Petia Georgieva, Susana Sargento, Pedro Rito |
| 2025 | PKAW | Explainable Artificial Intelligence for Intrusion Detection in Connected Vehicles. | Ramin Taheri, Alexander E. Gegov, Farzad Arabikhan, Alexandar Ichtev, Petia Georgieva |
| 2024 | AIMSA | Deep Learning for Multi-class Diagnosis of Thyroid Disorders Using Selective Features. | Filipa Santana, Jos Brito, Petia Georgieva |
| 2024 | IJCNN | Iterative Stacking Regression for Materials Properties Prediction. | Joo Antnio, Petia Georgieva |
| 2022 | IBPRIA | Energy Savings in Residential Buildings Based on Adaptive Thermal Comfort Models. | Rodrigo Almeida, Petia Georgieva, Nelson Martins |
| 2022 | IBPRIA | Deep Learning for Diagnosis of Alzheimer's Disease with FDG-PET Neuroimaging. | Jos Bastos, Filipe Silva, Petia Georgieva |
| 2022 | IBPRIA | An Innovative Vision System for Floor-Cleaning Robots Based on YOLOv5. | Daniel Canedo, Pedro Fonseca, Petia Georgieva, Antnio J. R. Neves |
| 2021 | INISTA | Transfer Learning for Skin Lesion Classification using Convolutional Neural Networks. | Fbio Santos, Filipe Silva, Petia Georgieva |
| 2021 | INISTA | Out of Training Distribution Detection for Multi-Class Skin Lesion Diagnosis. | Fbio Santos, Filipe Silva, Petia Georgieva |
| 2019 | IBPRIA | Reinforcement Learning and Neuroevolution in Flappy Bird Game. | Andr Brando, Pedro Pires, Petia Georgieva |
| 2019 | IBPRIA | Incremental Learning for Football Match Outcomes Prediction. | Jos Domingues, Bernardo Lopes, Petya Mihaylova, Petia Georgieva |
| 2019 | IBPRIA | Breaking Text-Based CAPTCHA with Sparse Convolutional Neural Networks. | Diogo Daniel Ferreira, Lus Leira, Petya Mihaylova, Petia Georgieva |
| 2018 | IJCNN | Overview of Deep Learning Architectures for EEG-based Brain Imaging. | Lachezar Bozhkov, Petia Georgieva |
| 2015 | IBPRIA | Brain Neural Data Analysis with Feature Space Defined by Descriptive Statistics. | Lachezar Bozhkov, Petia Georgieva |
| 2015 | INISTA | 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 |
| 2015 | PAAMS | Echo State Networks for Feature Selection in Affective Computing. | Petia D. Koprinkova-Hristova, Lachezar Bozhkov, Petia Georgieva |
| 2014 | EANN | Brain Neural Data Analysis Using Machine Learning Feature Selection and Classification Methods. | Lachezar Bozhkov, Petia Georgieva, Roumen Trifonov |
| 2014 | IJCNN | Statistical approach for reconstruction of dynamic brain dipoles based on EEG data. | Petia Georgieva, Filipe Miguel Teixeira Pereira da Silva, Lyudmila Mihaylova, Nidhal Bouaynaya |
| 2014 | SIMULTECH | Classification models of emotional biosignals evoked while viewing affective pictures. | Lachezar Bozhkov, Petia Georgieva |
| 2013 | IBPRIA | Robust Principal Component Analysis for Improving Cognitive Brain States Discrimination from fMRI. | Petia Georgieva, Nuttapod Nuntal, Fernando De la Torre |
| 2013 | ICANN | Robust Principal Component Analysis for Brain Imaging. | Petia Georgieva, Fernando De la Torre |
| 2012 | IJCNN | Particle filters and beamforming for EEG source estimation. | Petia Georgieva, Lyudmila Mihaylova, Nidhal Bouaynaya, Lakhmi C. Jain |
| 2011 | IJCNN | Neural networks for model predictive control. | Petia Georgieva, Sebastio Feyo de Azevedo |
| 2010 | IJCNN | Person identification using VEP signals and SVM classifiers. | Antnio Ferreira, Carlos Almeida, Petia Georgieva, Ana Maria Tom |
| 2009 | IJCNN | Computationally efficient process control with neural networkbased predictive models. | Luis A. Paz Suarez, Petia Georgieva, Sebastio Feyo de Azevedo |
| 2007 | IJCNN | 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, Sebastio Feyo de Azevedo |
| 2007 | IJCNN | Sparse Nonnegative Matrix Factorization with Genetic Algorithms for Microarray Analysis. | Kurt Stadlthanner, Dominik Lutter, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tom, Petia Georgieva, Carlos Garca Puntonet |
| 2006 | IJCNN | Dynamic Optimisation of Industrial Sugar Crystallization Process based on a Hybrid (mechanistic+ANN) Model. | Vytautas Galvanauskas, Petia Georgieva, Sebastio Feyo de Azevedo |