Uwe Aickelin

Integration of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score methods under a q-rung orthopair environment: A distribution case study of COVID-19 vaccine doses.

AS Albahri, OS Albahri, AA Zaidan, Alhamzah Alnoor, HA Alsattar, Rawia Mohammed, AH Alamoodi, BB Zaidan, Uwe Aickelin, Mamoun Alazab, Salem Garfan, Ibraheem YY Ahmaro, MA Ahmed

Journal article  |  2022  |  Comput Stand Interfaces

Owing to the limitations of Pythagorean fuzzy and intuitionistic fuzzy sets, scientists have developed a distinct and successive f..

A hybrid mathematical modelling approach for energy generation from hazardous waste during the COVID-19 pandemic

Jaber Valizadeh, Mehri Aghdamigargari, Ali Jamali, Uwe Aickelin, Setare Mohammadi, Hadi Akbarzadeh Khorshidi, Ashkan Hafezalkotob

Journal article  |  2021  |  Journal of Cleaner Production

The COVID-19 virus in a short time has caused a terrible crisis that has been spread around the world. This crisis has affected hu..

Based on T-spherical Fuzzy Environment: A Combination of FWZIC and FDOSM for Prioritising COVID-19 Vaccine Dose Recipients

MA Alsalem, Hassan Alsattar, AS Albahri, RT Mohammed, OS Albahri, AA Zaidan, Alhamzah Alnoor, AH Alamoodi, Sarah Qahtan, BB Zaidan, Uwe Aickelin, Mamoun Alazab, FM Jumaah

Journal article  |  2021  |  Journal of Infection and Public Health

The problem complexity of multi-criteria decision-making (MCDM) has been raised in the distribution of coronavirus disease 2019 (C..

Novel dynamic fuzzy Decision-Making framework for COVID-19 vaccine dose recipients

OS Albahri, AA Zaidan, AS Albahri, HA Alsattar, Rawia Mohammed, Uwe Aickelin, Gang Kou, FM Jumaah, Mahmood M Salih, AH Alamoodi, BB Zaidan, Mamoun Alazab, Alhamzah Alnoor, Jameel R Al-Obaidi

Journal article  |  2021  |  Journal of Advanced Research

Context: The vaccine distribution for the coronavirus disease of 2019 (COVID-19) is a multicriteria decision-making (MCDM) problem..

Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge

Xuetong Wu, Jonathan H Manton, Uwe Aickelin, Jingge Zhu

Conference Proceedings  |  2021  |  2021 IEEE International Symposium on Information Theory (ISIT)

Constructing classifiers for imbalanced data using diversity optimisation

Hadi A Khorshidi, Uwe Aickelin

Journal article  |  2021  |  INFORMATION SCIENCES

Imbalanced data is challenging in classification. This paper proposes a new approach to address imbalanced data by adopting divers..

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

The main objective of this work is to improve the quality and transparency of the medical text classification solutions. Conventio..

Guest Editorial: Special issue on "Artificial Intelligence in Health Informatics"

Siuly Siuly, Uwe Aickelin, Enamul Kabir, Zhisheng Huang, Yanchun Zhang

Journal article  |  2021  |  HEALTH INFORMATION SCIENCE AND SYSTEMS

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..

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..