| 2026 | ECIR | Image Complexity-Aware Adaptive Retrieval for Efficient Vision-Language Models. | Mikel Williams-Lekuona, Georgina Cosma |
| 2022 | APSEC | Multifaceted Hierarchical Report Identification for Non-Functional Bugs in Deep Learning Frameworks. | Guoming Long, Tao Chen, Georgina Cosma |
| 2020 | CEC | Enhancing Prediction in Cyclone Separators through Computational Intelligence. | Oluwaseyi Ogun, Mbetobong Enoh, Georgina Cosma, Aboozar Taherkhani, Vincenzo Madonna |
| 2020 | IJCNN | Classifying Imbalanced Multi-modal Sensor Data for Human Activity Recognition in a Smart Home using Deep Learning. | Ali A. Alani, Georgina Cosma, Aboozar Taherkhani |
| 2020 | IJCNN | Predicting Insulation Resistance of Enamelled Wire using Neural Network and Curve Fit Methods Under Thermal Aging. | Gulrukh Turabee, Georgina Cosma, Vincenzo Madonna, Paolo Giangrande, Muhammad Raza Khowja, Gaurang Vakil, Chris Gerada, Michael Galea |
| 2019 | ICANN | NatCSNN: A Convolutional Spiking Neural Network for Recognition of Objects Extracted from Natural Images. | Pedro Machado, Georgina Cosma, T. Martin McGinnity |
| 2019 | ICDM | Clan-Based Cultural Algorithm for Feature Selection. | Oluwabunmi Oloruntoba, Georgina Cosma, Antonio Liotta |
| 2018 | IJCNN | Bio-Inspired Ganglion Cell Models for Detecting Horizontal and Vertical Movements. | Pedro Machado, Andreas Oikonomou, Georgina Cosma, T. Martin McGinnity |
| 2017 | CIBCB | A multivariate feature selection framework for high dimensional biomedical data classification. | Abeer Alzubaidi, Georgina Cosma |
| 2017 | ICALT | Style Analysis for Source Code Plagiarism Detection - An Analysis of a Dataset of Student Coursework. | Olfat M. Mirza, Mike Joy, Georgina Cosma |