| A fast hypervolume driven selection mechanism for many-objective optimisation problems S Rostami, F Neri Swarm and evolutionary computation 34, 50-67, 2017 | 103 | 2017 |
| Covariance matrix adaptation pareto archived evolution strategy with hypervolume-sorted adaptive grid algorithm S Rostami, F Neri Integrated Computer-Aided Engineering 23 (4), 313-329, 2016 | 80 | 2016 |
| Progressive preference articulation for decision making in multi-objective optimisation problems S Rostami, F Neri, M Epitropakis Integrated Computer-Aided Engineering 24 (4), 315-335, 2017 | 67 | 2017 |
| Knowing the Unknown: Visualising Consumption Blind-Spots in Recommender Systems N Tintarev, S Rostami, B Smyth Symposium on Applied Computing (SAC), 2018 | 39 | 2018 |
| Age Detection Through Keystroke Dynamics From User Authentication Failures G Tsimperidis, V Katos, S Rostami International Journal of Digital Crime and Forensics (IJDCF), 2017 | 33 | 2017 |
| A novel preference articulation operator for the Evolutionary Multi-Objective Optimisation of classifiers in concealed weapons detection S Rostami, D O’Reilly, A Shenfield, N Bowring Information Sciences 295, 494-520, 2015 | 33 | 2015 |
| Multi-objective evolution of artificial neural networks in multi-class medical diagnosis problems with class imbalance A Shenfield, S Rostami 2017 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2017 | 26 | 2017 |
| On algorithmic descriptions and software implementations for multi-objective optimisation: a comparative study S Rostami, F Neri, K Gyaurski SN Computer Science 1 (5), 247, 2020 | 25 | 2020 |
| Cma-paes: Pareto archived evolution strategy using covariance matrix adaptation for multi-objective optimisation S Rostami, A Shenfield 2012 12th UK Workshop on Computational Intelligence (UKCI), 1-8, 2012 | 18 | 2012 |
| A machine learning approach to dataset imputation for software vulnerabilities S Rostami, A Kleszcz, D Dimanov, V Katos Multimedia Communications, Services and Security: 10th International …, 2020 | 17 | 2020 |
| Generalised pattern search based on covariance matrix diagonalisation F Neri, S Rostami SN Computer Science 2 (3), 171, 2021 | 15 | 2021 |
| Preference Focussed Many-Objective Evolutionary Computation S Rostami Manchester Metropolitan University, 2014 | 12 | 2014 |
| Moncae: Multi-objective neuroevolution of convolutional autoencoders D Dimanov, E Balaguer-Ballester, C Singleton, S Rostami arXiv preprint arXiv:2106.11914, 2021 | 11 | 2021 |
| A Multi objective Approach to Evolving Artificial Neural Networks for Coronary Heart Disease Classification A Shenfield, S Rostami Conference on Computational Intelligence in Bioinformatics and Computational …, 2015 | 11 | 2015 |
| A multi-tier adaptive grid algorithm for the evolutionary multi-objective optimisation of complex problems S Rostami, A Shenfield Soft Computing, 1-17, 2016 | 10 | 2016 |
| Measurement of vital signs using lifelight remote photoplethysmography: results of the VISION-D and VISION-V observational studies E Heiden, T Jones, A Brogaard Maczka, M Kapoor, M Chauhan, L Wiffen, ... JMIR Formative Research 6 (11), e36340, 2022 | 9 | 2022 |
| A local search for numerical optimisation based on covariance matrix diagonalisation F Neri, S Rostami Applications of Evolutionary Computation: 23rd European Conference …, 2020 | 8 | 2020 |
| State of vulnerabilities 2018/2019 V Katos, S Rostami, P Bellonias, N Davies, A Kleszcz, S Faily, A Spyros, ... European Union Agency for Cybersecurity (ENISA), Technical Report, 2019 | 8 | 2019 |
| User attribution through keystroke dynamics-based author age estimation I Tsimperidis, S Rostami, K Wilson, V Katos Selected Papers from the 12th International Networking Conference: INC 2020 …, 2021 | 7 | 2021 |
| Evaluation of Mental Workload and Familiarity in Human Computer Interaction with Integrated Development Environments using Single-Channel EEG S Rostami, A Shenfield, S Sigurnjak, O Fakorede Psychology of Programming Interest Group 2015 - 26th Annual Workshop, 2015 …, 2015 | 7 | 2015 |
Ferrante NeriProfessor of Machine Learning and Artificial Intelligence, NICE group, University of SurreyVerified email at surrey.ac.uk