KOSI- Key Object Detection for Sentiment Insights. - Daniel Dimanov; Shahin Rostami (UKCI, 2019)

A Machine Learning Approach to Dataset Imputation for Software Vulnerabilities. - Shahin Rostami; Agnieszka Kleszcz; Daniel Dimanov; Vasilios Katos (MCSS, 2020)

MONCAE: Multi-Objective Neuroevolution of Convolutional Autoencoders. - Daniel Dimanov; Emili Balaguer-Ballester; Colin Singleton; Shahin Rostami (CoRR, 2021)

RAMOSS - Resource Aware Multi-Objective Semantic Segmentation Through Neuroevolution. - Daniel Dimanov; Colin Singleton; Shahin Rostami; Emili Balaguer-Ballester (UKCI, 2022)

MEOW - Multi-Objective Evolutionary Weapon Detection. - Daniel Dimanov; Colin Singleton; Shahin Rostami; Emili Balaguer-Ballester (AutoML, 2023)