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Shahin Rostami
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2020 – today
- 2023
- [c13]Daniel Dimanov, Colin Singleton, Shahin Rostami, Emili Balaguer-Ballester:
MEOW - Multi-Objective Evolutionary Weapon Detection. AutoML 2023: 5/1-20 - 2022
- [j9]Marcia Amstelvina Saul, Shahin Rostami:
Assessing performance of artificial neural networks and re-sampling techniques for healthcare datasets. Health Informatics J. 28(1): 146045822210871 (2022) - [c12]Daniel Dimanov, Colin Singleton, Shahin Rostami, Emili Balaguer-Ballester:
RAMOSS - Resource Aware Multi-Objective Semantic Segmentation Through Neuroevolution. UKCI 2022: 526-538 - 2021
- [j8]Ferrante Neri, Shahin Rostami:
Generalised Pattern Search Based on Covariance Matrix Diagonalisation. SN Comput. Sci. 2(3): 171 (2021) - [i1]Daniel Dimanov, Emili Balaguer-Ballester, Colin Singleton, Shahin Rostami:
MONCAE: Multi-Objective Neuroevolution of Convolutional Autoencoders. CoRR abs/2106.11914 (2021) - 2020
- [j7]Shahin Rostami, Ferrante Neri, Kiril Gyaurski:
On Algorithmic Descriptions and Software Implementations for Multi-objective Optimisation: A Comparative Study. SN Comput. Sci. 1(5): 247 (2020) - [c11]Ferrante Neri, Shahin Rostami:
A Local Search for Numerical Optimisation Based on Covariance Matrix Diagonalisation. EvoApplications 2020: 3-19 - [c10]Shahin Rostami, Agnieszka Kleszcz, Daniel Dimanov, Vasilios Katos:
A Machine Learning Approach to Dataset Imputation for Software Vulnerabilities. MCSS 2020: 25-36
2010 – 2019
- 2019
- [c9]Rhys Stubbs, Kevin Wilson, Shahin Rostami:
Hyper-parameter Optimisation by Restrained Stochastic Hill Climbing. UKCI 2019: 189-200 - [c8]Daniel Dimanov, Shahin Rostami:
KOSI- Key Object Detection for Sentiment Insights. UKCI 2019: 296-306 - 2018
- [c7]Nava Tintarev, Shahin Rostami, Barry Smyth:
Knowing the unknown: visualising consumption blind-spots in recommender systems. SAC 2018: 1396-1399 - [c6]Kevin Wilson, Shahin Rostami:
On the Integrity of Performance Comparison for Evolutionary Multi-objective Optimisation Algorithms. UKCI 2018: 3-15 - [c5]Marcia Amstelvina Saul, Shahin Rostami:
A Comparison of Re-sampling Techniques for Pattern Classification in Imbalanced Data-Sets. UKCI 2018: 240-251 - 2017
- [j6]Shahin Rostami, Ferrante Neri, Michael G. Epitropakis:
Progressive preference articulation for decision making in multi-objective optimisation problems. Integr. Comput. Aided Eng. 24(4): 315-335 (2017) - [j5]Ioannis Tsimperidis, Shahin Rostami, Vasilios Katos:
Age Detection Through Keystroke Dynamics from User Authentication Failures. Int. J. Digit. Crime Forensics 9(1): 1-16 (2017) - [j4]Shahin Rostami, Alex Shenfield:
A multi-tier adaptive grid algorithm for the evolutionary multi-objective optimisation of complex problems. Soft Comput. 21(17): 4963-4979 (2017) - [j3]Shahin Rostami, Ferrante Neri:
A fast hypervolume driven selection mechanism for many-objective optimisation problems. Swarm Evol. Comput. 34: 50-67 (2017) - [c4]Alex Shenfield, Shahin Rostami:
Multi-objective evolution of artificial neural networks in multi-class medical diagnosis problems with class imbalance. CIBCB 2017: 1-8 - 2016
- [j2]Shahin Rostami, Ferrante Neri:
Covariance matrix adaptation pareto archived evolution strategy with hypervolume-sorted adaptive grid algorithm. Integr. Comput. Aided Eng. 23(4): 313-329 (2016) - 2015
- [j1]Shahin Rostami, Dean O'Reilly, Alex Shenfield, Nicholas J. Bowring:
A novel preference articulation operator for the Evolutionary Multi-Objective Optimisation of classifiers in concealed weapons detection. Inf. Sci. 295: 494-520 (2015) - [c3]Alex Shenfield, Shahin Rostami:
A multi objective approach to evolving artificial neural networks for coronary heart disease classification. CIBCB 2015: 1-8 - [c2]Shahin Rostami, Alex Shenfield, Stephen Sigurnjak, Oluwatoyin Fakorede:
Evaluation of Mental Workload and Familiarity in Human Computer Interaction with Integrated Development Environments using Single-Channel EEG. PPIG 2015: 2 - 2014
- [b1]Shahin Rostami:
Preference focussed many-objective evolutionary computation. Manchester Metropolitan University, UK, 2014 - 2012
- [c1]Shahin Rostami, Alex Shenfield:
CMA-PAES: Pareto archived evolution strategy using covariance matrix adaptation for Multi-Objective Optimisation. UKCI 2012: 1-8
Coauthor Index
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