Uwe Aickelin

Constructing classifiers for imbalanced data using diversity optimisation

HA Khorshidi, U Aickelin

Journal article  |  2021  |  Information Sciences

A hybrid medical text classification framework: Integrating attentive rule construction and neural network

Xiang Li, Menglin Cui, Jingpeng Li, Ruibin Bai, Zheng Lu, Uwe Aickelin

Journal article  |  2021  |  Neurocomputing

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 ..

On the Importance of Diversity in Re-Sampling for Imbalanced Data and Rare Events in Mortality Risk Models

Yuxuan Yang, Hadi Akbarzadeh Khorshidi, U Aickelin, Aditi Nevgi, Elif Ekinci

Conference Proceedings  |  2021  |  ACM International Conference Proceeding Series

Surgical risk increases significantly when patients present with comorbid conditions. This has resulted in the creation of numerou..

AI based cancer detection models using primary care datasets

Goce Ristanoski, Jon Emery, Javiera Martinez Gutierrez, Damien MCCARTHY, Uwe Aickelin

Conference Proceedings  |  2021  |  International Conference Proceedings Series

Cancer is one of the most common and serious medical conditions with more than 144 000 Australians having been diagnosed with canc..

A Method for Evaluating Options for Motif Detection in Electricity Meter Data

Ian Dent, Tony Craig, Uwe Aickelin, Tom Rodden

Journal article  |  2021  |  Journal of Data Science

Investigation of household electricity usage patterns, and mat- ching the patterns to behaviours, is an important area of research..

Handling uncertainty using features from pathology: Opportunities in primary care data for developing high risk cancer survival methods

G Ristanoski, J Emery, J Martinez Gutierrez, D McCarthy, U Aickelin

Conference Proceedings  |  2021  |  ACM International Conference Proceeding Series

More than 144 000 Australians were diagnosed with cancer in 2019. Diagnosing cancer in primary care is challenging due to the non-..

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..