CMA-PAES: Pareto archived evolution strategy using covariance matrix adaptation for Multi-Objective Optimisation. - Shahin Rostami; Alex Shenfield (UKCI, 2012)

Preference focussed many-objective evolutionary computation. - Shahin Rostami (2014)

A multi objective approach to evolving artificial neural networks for coronary heart disease classification. - Alex Shenfield; Shahin Rostami (CIBCB, 2015)

Evaluation of Mental Workload and Familiarity in Human Computer Interaction with Integrated Development Environments using Single-Channel EEG. - Shahin Rostami; Alex Shenfield; Stephen Sigurnjak; Oluwatoyin Fakorede (PPIG, 2015)

A novel preference articulation operator for the Evolutionary Multi-Objective Optimisation of classifiers in concealed weapons detection. - Shahin Rostami; Dean O'Reilly; Alex Shenfield; Nicholas J. Bowring (Inf. Sci., 2015)

Covariance matrix adaptation pareto archived evolution strategy with hypervolume-sorted adaptive grid algorithm. - Shahin Rostami; Ferrante Neri (Integr. Comput. Aided Eng., 2016)

Multi-objective evolution of artificial neural networks in multi-class medical diagnosis problems with class imbalance. - Alex Shenfield; Shahin Rostami (CIBCB, 2017)

Progressive preference articulation for decision making in multi-objective optimisation problems. - Shahin Rostami; Ferrante Neri; Michael G. Epitropakis (Integr. Comput. Aided Eng., 2017)

Age Detection Through Keystroke Dynamics from User Authentication Failures. - Ioannis Tsimperidis; Shahin Rostami; Vasilios Katos (Int. J. Digit. Crime Forensics, 2017)

A multi-tier adaptive grid algorithm for the evolutionary multi-objective optimisation of complex problems. - Shahin Rostami; Alex Shenfield (Soft Comput., 2017)

A fast hypervolume driven selection mechanism for many-objective optimisation problems. - Shahin Rostami; Ferrante Neri (Swarm Evol. Comput., 2017)

Knowing the unknown: visualising consumption blind-spots in recommender systems. - Nava Tintarev; Shahin Rostami; Barry Smyth (SAC, 2018)

A Comparison of Re-sampling Techniques for Pattern Classification in Imbalanced Data-Sets. - Marcia Amstelvina Saul; Shahin Rostami (UKCI, 2018)

On the Integrity of Performance Comparison for Evolutionary Multi-objective Optimisation Algorithms. - Kevin Wilson; Shahin Rostami (UKCI, 2018)

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

Hyper-parameter Optimisation by Restrained Stochastic Hill Climbing. - Rhys Stubbs; Kevin Wilson; Shahin Rostami (UKCI, 2019)

A Local Search for Numerical Optimisation Based on Covariance Matrix Diagonalisation. - Ferrante Neri; Shahin Rostami (EvoApplications, 2020)

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

On Algorithmic Descriptions and Software Implementations for Multi-objective Optimisation: A Comparative Study. - Shahin Rostami; Ferrante Neri; Kiril Gyaurski (SN Comput. Sci., 2020)

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

Generalised Pattern Search Based on Covariance Matrix Diagonalisation. - Ferrante Neri; Shahin Rostami (SN Comput. Sci., 2021)

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

Assessing performance of artificial neural networks and re-sampling techniques for healthcare datasets. - Marcia Amstelvina Saul; Shahin Rostami (Health Informatics J., 2022)

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