Optimising service quality translating via quantitative quality function deployment. - Hadi Akbarzade Khorshidi; Seyed Reza Hejazi (Int. J. Serv. Stand., 2011)

An optimization model for multi-state weighted kout-of-n system reliability value. - Hadi Akbarzadeh Khorshidi; Indra Gunawan; M. Yousef Ibrahim 001 (IECON, 2013)

Reliability centered maintenance using system dynamics approach. - Hadi Akbarzadeh Khorshidi; Indra Gunawan; M. Yousef Ibrahim 001 (ICIT, 2015)

An investigation on imperialist competitive algorithm for solving reliability-redundancy allocation problems. - Hadi Akbarzade Khorshidi; Indra Gunawan; Agung Sutrisno; Sanaz Nikfalazar (IEEM, 2015)

Applying UGF Concept to Enhance the Assessment Capability of FMEA. - Hadi Akbarzade Khorshidi; Indra Gunawan; M. Yousef Ibrahim 001 (Qual. Reliab. Eng. Int., 2016)

Fuzzy risk analysis by similarity-based multi-criteria approach to classify alternatives. - Sanaz Nikfalazar; Hadi Akbarzade Khorshidi; Ali Zeinal Hamadani (Int. J. Syst. Assur. Eng. Manag., 2016)

Data-Driven System Reliability and Failure Behavior Modeling Using FMECA. - Hadi Akbarzade Khorshidi; Indra Gunawan; M. Yousef Ibrahim 001 (IEEE Trans. Ind. Informatics, 2016)

A new iterative fuzzy clustering algorithm for multiple imputation of missing data. - Sanaz Nikfalazar; Chung-Hsing Yeh; Susan E. Bedingfield; Hadi Akbarzade Khorshidi (FUZZ-IEEE, 2017)

An improved similarity measure for generalized fuzzy numbers and its application to fuzzy risk analysis. - Hadi Akbarzade Khorshidi; Sanaz Nikfalazar (Appl. Soft Comput., 2017)

A Hybrid Missing Data Imputation Method for Constructing City Mobility Indices. - Sanaz Nikfalazar; Chung-Hsing Yeh; Susan E. Bedingfield; Hadi Akbarzadeh Khorshidi (AusDM, 2018)

Multi-objective semi-supervised clustering to identify health service patterns for injured patients. - Hadi Akbarzadeh Khorshidi; Uwe Aickelin; Gholamreza Haffari; Behrooz Hassani-Mahmooei (Health Inf. Sci. Syst., 2019)

Imputation techniques on missing values in breast cancer treatment and fertility data. - Xuetong Wu; Hadi Akbarzadeh Khorshidi; Uwe Aickelin; Zobaida Edib; Michelle Peate (Health Inf. Sci. Syst., 2019)

Methods of ranking for aggregated fuzzy numbers from interval-valued data. - Justin Kane Gunn; Hadi Akbarzadeh Khorshidi; Uwe Aickelin (FUZZ-IEEE, 2020)

Machine learning with incomplete datasets using multi-objective optimization models. - Hadi Akbarzadeh Khorshidi; Michael Kirley; Uwe Aickelin (IJCNN, 2020)

An interval-based aggregation approach based on Bagging and Interval Agreement Approach in ensemble learning. - Mansoureh Maadi; Uwe Aickelin; Hadi Akbarzadeh Khorshidi (SSCI, 2020)

Synthetic Over-sampling with the Minority and Majority classes for imbalance problems. - Hadi Akbarzadeh Khorshidi; Uwe Aickelin (CoRR, 2020)

Higher order hesitant fuzzy Choquet integral operator and its application to multiple criteria decision making. - Bahram Farhadinia; Uwe Aickelin; Hadi Akbarzadeh Khorshidi (CoRR, 2020)

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 (CoRR, 2020)

Similarity measure for aggregated fuzzy numbers from interval-valued data. - Justin Kane Gunn; Hadi Akbarzadeh Khorshidi; Uwe Aickelin (CoRR, 2020)

Uncertainty measures for probabilistic hesitant fuzzy sets in multiple criteria decision making. - Bahram Farhadinia; Uwe Aickelin; Hadi Akbarzadeh Khorshidi (Int. J. Intell. Syst., 2020)

Missing data imputation using decision trees and fuzzy clustering with iterative learning. - Sanaz Nikfalazar; Chung-Hsing Yeh; Susan E. Bedingfield; Hadi Akbarzadeh Khorshidi (Knowl. Inf. Syst., 2020)

Collaborative Human-ML Decision Making Using Experts' Privileged Information Under Uncertainty. - Mansoureh Maadi; Hadi Akbarzadeh Khorshidi; Uwe Aickelin (HUMAN@AAAI Fall Symposium, 2021)

On the Importance of Diversity in Re-Sampling for Imbalanced Data and Rare Events in Mortality Risk Models. - Yuxuan Yang; Hadi Akbarzadeh Khorshidi; Uwe Aickelin; Aditi Nevgi; Elif Ekinci (ACSW, 2021)

A survey on Optimisation-based Semi-supervised Clustering Methods. - Zahra Ghasemi; Hadi Akbarzadeh Khorshidi; Uwe Aickelin (ICBK, 2021)

A Robust Mathematical Model for Blood Supply Chain Network using Game Theory. - Jaber Valizadeh; Uwe Aickelin; Hadi Akbarzadeh Khorshidi (ICBK, 2021)

A new interval-based aggregation approach based on bagging and Interval Agreement Approach (IAA) in ensemble learning. - Mansoureh Maadi; Uwe Aickelin; Hadi Akbarzadeh Khorshidi (CoRR, 2021)

Constructing classifiers for imbalanced data using diversity optimisation. - Hadi Akbarzade Khorshidi; Uwe Aickelin (Inf. Sci., 2021)

Multicriteria group decision-making under uncertainty using interval data and cloud models. - Hadi Akbarzadeh Khorshidi; Uwe Aickelin (J. Oper. Res. Soc., 2021)

Cluster-based Diversity Over-sampling: A Density and Diversity Oriented Synthetic Over-sampling for Imbalanced Data. - Yuxuan Yang; Hadi Akbarzadeh Khorshidi; Uwe Aickelin (IJCCI, 2022)

A cooperative robust human resource allocation problem for healthcare systems for disaster management. - Ashkan Hafezalkotob; Keyvan Fardi; Uwe Aickelin; Samaneh Chaharbaghi; Hadi Akbarzadeh Khorshidi (Comput. Ind. Eng., 2022)

Modeling of Whole Genomic Sequencing Implementation using System Dynamics and Game Theory. - Marzieh Soltanolkottabi; Hadi Akbarzadeh Khorshidi; Maarten J. IJzerman (CoRR, 2022)

Multi-objective Semi-supervised clustering for finding predictive clusters. - Zahra Ghasemi; Hadi Akbarzadeh Khorshidi; Uwe Aickelin (Expert Syst. Appl., 2022)

Expert-Machine Collaborative Decision Making: We Need Healthy Competition. - Uwe Aickelin; Mansoureh Maadi; Hadi Akbarzadeh Khorshidi (IEEE Intell. Syst., 2022)

A hybrid projection method for resource-constrained project scheduling problem under uncertainty. - Saeed Aramesh; Uwe Aickelin; Hadi Akbarzadeh Khorshidi (Neural Comput. Appl., 2022)

An Uncertainty-Accuracy-Based Score Function for Wrapper Methods in Feature Selection. - Mansoureh Maadi; Hadi Akbarzadeh Khorshidi; Uwe Aickelin (FUZZ, 2023)

Uncertainty in Selective Bagging: A Dynamic Bi-objective Optimization Model. - Mansoureh Maadi; Hadi Akbarzadeh Khorshidi; Uwe Aickelin (SDM, 2023)

A Comprehensive Survey on Imputation of Missing Data in Internet of Things. - Deepak Adhikari; Wei Jiang 016; Jinyu Zhan; Zhiyuan He 001; Danda B. Rawat; Uwe Aickelin; Hadi Akbarzade Khorshidi (ACM Comput. Surv., 2023)

Guest Editorial Special Issue on Multiobjective Evolutionary Optimization in Machine Learning. - Uwe Aickelin; Hadi Akbarzadeh Khorshidi; Rong Qu; Hadi Charkhgard (IEEE Trans. Evol. Comput., 2023)

A Diversity-Based Synthetic Oversampling Using Clustering for Handling Extreme Imbalance. - Yuxuan Yang; Hadi Akbarzadeh Khorshidi; Uwe Aickelin (SN Comput. Sci., 2023)

A review on over-sampling techniques in classification of multi-class imbalanced datasets: insights for medical problems. - Yuxuan Yang; Hadi Akbarzadeh Khorshidi; Uwe Aickelin (Frontiers Digit. Health, 2024)

A Lightweight-Window-Portion-Based Multiple Imputation for Extreme Missing Gaps in IoT Systems. - Deepak Adhikari; Wei Jiang 016; Jinyu Zhan; Maregu Assefa; Hadi Akbarzade Khorshidi; Uwe Aickelin; Danda B. Rawat (IEEE Internet Things J., 2024)

Editorial: Special issue on operations research and machine learning. - Hadi Akbarzadeh Khorshidi; Marzieh Soltanolkottabi; Richard Allmendinger 001; Uwe Aickelin (INFOR Inf. Syst. Oper. Res., 2024)

Cloud model-based best-worst method for group decision making under uncertainty. - Behzad Minaei; Hadi Akbarzadeh Khorshidi; Uwe Aickelin; Arash Geramian (INFOR Inf. Syst. Oper. Res., 2024)

Turning Uncertainty to Information by Intervals in Ensemble Classifiers. - Mansoureh Maadi; Uwe Aickelin; Hadi Akbarzadeh Khorshidi; Michael Kirley (PAKDD (6), 2025)

A synthetic over-sampling method with minority and majority classes for imbalance problems. - Hadi Akbarzadeh Khorshidi; Uwe Aickelin (Knowl. Inf. Syst., 2025)