Hadi Akbarzadeh Khorshidi

Constructing classifiers for imbalanced data using diversity optimisation

HA Khorshidi, U Aickelin

Journal article  |  2021  |  Information Sciences

A Review on Human-AI Interaction in Machine Learning and Insights for Medical Applications

Mansoureh Maadi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin

Journal article  |  2021  |  International Journal of Environmental Research and Public Health

OBJECTIVE: To provide a human-Artificial Intelligence (AI) interaction review for Machine Learning (ML) applications to inform how..

Higher order hesitant fuzzy choquet integral operator and its application to multiple criteria decision making

B Farhadinia, U Aickelin, HA Khorshidi

Journal article  |  2021  |  Iranian Journal of Fuzzy Systems

Generally, the criteria involved in a decision making problem are interactive or inter- dependent, and therefore aggregating them ..

An interval-based aggregation approach based on Bagging and Interval Agreement Approach in ensemble learning

M Maadi, U Aickelin, HA Khorshidi

Conference Proceedings  |  2020  |  2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020

The main aim in ensemble learning is using multiple classifiers rather than one classifier to aggregate classifiers' outputs for m..

Methods of ranking for aggregated fuzzy numbers from interval-valued data

Justin Kane Gunn, Hadi Akbarzadeh Khorshidi, Uwe Aickelin

Conference Proceedings  |  2020  |  IEEE International Conference on Fuzzy Systems

This paper primarily presents two methods of ranking aggregated fuzzy numbers from intervals using the Interval Agreement Approach..

Multicriteria group decision-making under uncertainty using interval data and cloud models

Hadi Akbarzadeh Khorshidi, Uwe Aickelin

Journal article  |  2020  |  Journal of the Operational Research Society

In this study, we propose a multicriteria group decision-making (MCGDM) algorithm under uncertainty where data is collected as int..

Machine learning with incomplete datasets using multi-objective optimization models

Hadi A Khorshidi, Michael Kirley, Uwe Aickelin

Conference Proceedings  |  2020  |  Proceedings of the International Joint Conference on Neural Networks

Machine learning techniques have been developed to learn from complete data. When missing values exist in a dataset, the incomplet..

Missing data imputation using decision trees and fuzzy clustering with iterative learning

S Nikfalazar, CH Yeh, S Bedingfield, HA Khorshidi

Journal article  |  2020  |  Knowledge and Information Systems

Various imputation approaches have been proposed to address the issue of missing values in data mining and machine learning applic..

Similarity measure for aggregated fuzzy numbers from interval-valued data

Justin Kane Gunn, Hadi Akbarzadeh Khorshidi, Uwe Aickelin

Journal article  |  2020  |  Soft Computing Letters

This paper presents a method to compute the degree of similarity between two aggregated fuzzy numbers from intervals using the Int..

Transfer Learning to Enhance Amenorrhea Status Prediction in Cancer and Fertility Data with Missing Values

Xuetong Wu, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Zobaida Edib, Michelle Peate

Book Chapter  |  2020