Shahin Rostami

Orcid: 0000-0001-8977-1239

According to our database1, Shahin Rostami authored at least 24 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
MEOW - Multi-Objective Evolutionary Weapon Detection.
Proceedings of the International Conference on Automated Machine Learning, 2023

2022
Assessing performance of artificial neural networks and re-sampling techniques for healthcare datasets.
Health Informatics J., 2022

RAMOSS - Resource Aware Multi-Objective Semantic Segmentation Through Neuroevolution.
Proceedings of the Advances in Computational Intelligence Systems, 2022

2021
Generalised Pattern Search Based on Covariance Matrix Diagonalisation.
SN Comput. Sci., 2021

MONCAE: Multi-Objective Neuroevolution of Convolutional Autoencoders.
CoRR, 2021

2020
On Algorithmic Descriptions and Software Implementations for Multi-objective Optimisation: A Comparative Study.
SN Comput. Sci., 2020

A Machine Learning Approach to Dataset Imputation for Software Vulnerabilities.
Proceedings of the Multimedia Communications, Services and Security, 2020

A Local Search for Numerical Optimisation Based on Covariance Matrix Diagonalisation.
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020

2019
Hyper-parameter Optimisation by Restrained Stochastic Hill Climbing.
Proceedings of the Advances in Computational Intelligence Systems, 2019

KOSI- Key Object Detection for Sentiment Insights.
Proceedings of the Advances in Computational Intelligence Systems, 2019

2018
On the Integrity of Performance Comparison for Evolutionary Multi-objective Optimisation Algorithms.
Proceedings of the Advances in Computational Intelligence Systems, 2018

A Comparison of Re-sampling Techniques for Pattern Classification in Imbalanced Data-Sets.
Proceedings of the Advances in Computational Intelligence Systems, 2018

Knowing the unknown: visualising consumption blind-spots in recommender systems.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

2017
A fast hypervolume driven selection mechanism for many-objective optimisation problems.
Swarm Evol. Comput., 2017

A multi-tier adaptive grid algorithm for the evolutionary multi-objective optimisation of complex problems.
Soft Comput., 2017

Age Detection Through Keystroke Dynamics from User Authentication Failures.
Int. J. Digit. Crime Forensics, 2017

Progressive preference articulation for decision making in multi-objective optimisation problems.
Integr. Comput. Aided Eng., 2017

Multi-objective evolution of artificial neural networks in multi-class medical diagnosis problems with class imbalance.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017

2016
Covariance matrix adaptation pareto archived evolution strategy with hypervolume-sorted adaptive grid algorithm.
Integr. Comput. Aided Eng., 2016

2015
A novel preference articulation operator for the Evolutionary Multi-Objective Optimisation of classifiers in concealed weapons detection.
Inf. Sci., 2015

Evaluation of Mental Workload and Familiarity in Human Computer Interaction with Integrated Development Environments using Single-Channel EEG.
Proceedings of the 26th Annual Workshop of the Psychology of Programming Interest Group, 2015

A multi objective approach to evolving artificial neural networks for coronary heart disease classification.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015

2014
Preference focussed many-objective evolutionary computation.
PhD thesis, 2014

2012
CMA-PAES: Pareto archived evolution strategy using covariance matrix adaptation for Multi-Objective Optimisation.
Proceedings of the 12th UK Workshop on Computational Intelligence, 2012


  Loading...