Shahin Rostami

24 papers B 1C 2Misc 1Journal 10Unranked 9
YearRankTypeTitle / Venue / Authors
2023 — conf
MEOW - Multi-Objective Evolutionary Weapon Detection.
AutoML
Daniel Dimanov, Colin Singleton, Shahin Rostami, Emili Balaguer-Ballester
2022 J jnl
Assessing performance of artificial neural networks and re-sampling techniques for healthcare datasets.
Health Informatics J.
Marcia Amstelvina Saul, Shahin Rostami
2022 — conf
RAMOSS - Resource Aware Multi-Objective Semantic Segmentation Through Neuroevolution.
UKCI
Daniel Dimanov, Colin Singleton, Shahin Rostami, Emili Balaguer-Ballester
2021 J jnl
Generalised Pattern Search Based on Covariance Matrix Diagonalisation.
SN Comput. Sci.
Ferrante Neri, Shahin Rostami
2021 J jnl
MONCAE: Multi-Objective Neuroevolution of Convolutional Autoencoders.
CoRR
Daniel Dimanov, Emili Balaguer-Ballester, Colin Singleton, Shahin Rostami
2020 B conf
A Local Search for Numerical Optimisation Based on Covariance Matrix Diagonalisation.
EvoApplications
Ferrante Neri, Shahin Rostami
2020 — conf
A Machine Learning Approach to Dataset Imputation for Software Vulnerabilities.
MCSS
Shahin Rostami, Agnieszka Kleszcz, Daniel Dimanov, Vasilios Katos
2020 J jnl
On Algorithmic Descriptions and Software Implementations for Multi-objective Optimisation: A Comparative Study.
SN Comput. Sci.
Shahin Rostami, Ferrante Neri, Kiril Gyaurski
2019 — conf
Hyper-parameter Optimisation by Restrained Stochastic Hill Climbing.
UKCI
Rhys Stubbs, Kevin Wilson, Shahin Rostami
2019 — conf
KOSI- Key Object Detection for Sentiment Insights.
UKCI
Daniel Dimanov, Shahin Rostami
2018 — conf
A Comparison of Re-sampling Techniques for Pattern Classification in Imbalanced Data-Sets.
UKCI
Marcia Amstelvina Saul, Shahin Rostami
2018 Misc conf
Knowing the unknown: visualising consumption blind-spots in recommender systems.
SAC
Nava Tintarev, Shahin Rostami, Barry Smyth
2018 — conf
On the Integrity of Performance Comparison for Evolutionary Multi-objective Optimisation Algorithms.
UKCI
Kevin Wilson, Shahin Rostami
2017 J jnl
A fast hypervolume driven selection mechanism for many-objective optimisation problems.
Swarm Evol. Comput.
Shahin Rostami, Ferrante Neri
2017 J jnl
A multi-tier adaptive grid algorithm for the evolutionary multi-objective optimisation of complex problems.
Soft Comput.
Shahin Rostami, Alex Shenfield
2017 J jnl
Age Detection Through Keystroke Dynamics from User Authentication Failures.
Int. J. Digit. Crime Forensics
Ioannis Tsimperidis, Shahin Rostami, Vasilios Katos
2017 C conf
Multi-objective evolution of artificial neural networks in multi-class medical diagnosis problems with class imbalance.
CIBCB
Alex Shenfield, Shahin Rostami
2017 J jnl
Progressive preference articulation for decision making in multi-objective optimisation problems.
Integr. Comput. Aided Eng.
Shahin Rostami, Ferrante Neri, Michael G. Epitropakis
2016 J jnl
Covariance matrix adaptation pareto archived evolution strategy with hypervolume-sorted adaptive grid algorithm.
Integr. Comput. Aided Eng.
Shahin Rostami, Ferrante Neri
2015 C conf
A multi objective approach to evolving artificial neural networks for coronary heart disease classification.
CIBCB
Alex Shenfield, Shahin Rostami
2015 J jnl
A novel preference articulation operator for the Evolutionary Multi-Objective Optimisation of classifiers in concealed weapons detection.
Inf. Sci.
Shahin Rostami, Dean O'Reilly, Alex Shenfield, Nicholas J. Bowring
2015 — conf
Evaluation of Mental Workload and Familiarity in Human Computer Interaction with Integrated Development Environments using Single-Channel EEG.
PPIG
Shahin Rostami, Alex Shenfield, Stephen Sigurnjak, Oluwatoyin Fakorede
2014 — —
Preference focussed many-objective evolutionary computation.
Shahin Rostami
2012 — conf
CMA-PAES: Pareto archived evolution strategy using covariance matrix adaptation for Multi-Objective Optimisation.
UKCI
Shahin Rostami, Alex Shenfield