Hadi Akbarzadeh Khorshidi

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 38

Top Topics

Decision Making

Missing Data Imputation

Top Venues

INFOR Inf. Syst. Oper. Res.

Health Inf. Sci. Syst.

Publications

Hadi Akbarzadeh Khorshidi, Marzieh Soltanolkottabi, Richard Allmendinger, Uwe Aickelin
Editorial: Special issue on operations research and machine learning. INFOR Inf. Syst. Oper. Res. 62 (2) (2024)
Behzad Minaei, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Arash Geramian
Cloud model-based best-worst method for group decision making under uncertainty. INFOR Inf. Syst. Oper. Res. 62 (2) (2024)
Uwe Aickelin, Hadi Akbarzadeh Khorshidi, Rong Qu, Hadi Charkhgard
Guest Editorial Special Issue on Multiobjective Evolutionary Optimization in Machine Learning. IEEE Trans. Evol. Comput. 27 (4) (2023)
Mansoureh Maadi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
An Uncertainty-Accuracy-Based Score Function for Wrapper Methods in Feature Selection. FUZZ (2023)
Yuxuan Yang, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
A Diversity-Based Synthetic Oversampling Using Clustering for Handling Extreme Imbalance. SN Comput. Sci. 4 (6) (2023)
Mansoureh Maadi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
Uncertainty in Selective Bagging: A Dynamic Bi-objective Optimization Model. SDM (2023)
Saeed Aramesh, Uwe Aickelin, Hadi Akbarzadeh Khorshidi
A hybrid projection method for resource-constrained project scheduling problem under uncertainty. Neural Comput. Appl. 34 (17) (2022)
Marzieh Soltanolkottabi, Hadi Akbarzadeh Khorshidi, Maarten J. IJzerman
Modeling of Whole Genomic Sequencing Implementation using System Dynamics and Game Theory. CoRR (2022)
Ashkan Hafezalkotob, Keyvan Fardi, Uwe Aickelin, Samaneh Chaharbaghi, Hadi Akbarzadeh Khorshidi
A cooperative robust human resource allocation problem for healthcare systems for disaster management. Comput. Ind. Eng. 170 (2022)
Zahra Ghasemi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
Multi-objective Semi-supervised Clustering for Finding Predictive Clusters. CoRR (2022)
Uwe Aickelin, Mansoureh Maadi, Hadi Akbarzadeh Khorshidi
Expert-Machine Collaborative Decision Making: We Need Healthy Competition. IEEE Intell. Syst. 37 (5) (2022)
Yuxuan Yang, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
Cluster-based Diversity Over-sampling: A Density and Diversity Oriented Synthetic Over-sampling for Imbalanced Data. IJCCI (2022)
Zahra Ghasemi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
Multi-objective Semi-supervised clustering for finding predictive clusters. Expert Syst. Appl. 195 (2022)
Mansoureh Maadi, Uwe Aickelin, Hadi Akbarzadeh Khorshidi
A new interval-based aggregation approach based on bagging and Interval Agreement Approach (IAA) in ensemble learning. CoRR (2021)
Yuxuan Yang, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Aditi Nevgi, Elif Ekinci
On the Importance of Diversity in Re-Sampling for Imbalanced Data and Rare Events in Mortality Risk Models. ACSW (2021)
Hadi Akbarzadeh Khorshidi, Uwe Aickelin
Multicriteria group decision-making under uncertainty using interval data and cloud models. J. Oper. Res. Soc. 72 (11) (2021)
Jaber Valizadeh, Uwe Aickelin, Hadi Akbarzadeh Khorshidi
A Robust Mathematical Model for Blood Supply Chain Network using Game Theory. ICBK (2021)
Zahra Ghasemi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
A survey on Optimisation-based Semi-supervised Clustering Methods. ICBK (2021)
Mansoureh Maadi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
Collaborative Human-ML Decision Making Using Experts' Privileged Information Under Uncertainty. HUMAN@AAAI Fall Symposium (2021)
Hadi Akbarzadeh Khorshidi, Uwe Aickelin
Multicriteria Group Decision-Making Under Uncertainty Using Interval Data and Cloud Models. CoRR (2020)
Bahram Farhadinia, Uwe Aickelin, Hadi Akbarzadeh Khorshidi
Uncertainty measures for probabilistic hesitant fuzzy sets in multiple criteria decision making. Int. J. Intell. Syst. 35 (11) (2020)
Sanaz Nikfalazar, Chung-Hsing Yeh, Susan E. Bedingfield, Hadi Akbarzadeh Khorshidi
Missing data imputation using decision trees and fuzzy clustering with iterative learning. Knowl. Inf. Syst. 62 (6) (2020)
Justin Kane Gunn, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
Methods of ranking for aggregated fuzzy numbers from interval-valued data. CoRR (2020)
Bahram Farhadinia, Uwe Aickelin, Hadi Akbarzadeh Khorshidi
Uncertainty measures for probabilistic hesitant fuzzy sets in multiple criteria decision making. CoRR (2020)
Yuxuan Yang, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Aditi Nevgi, Elif Ekinci
On the Importance of Diversity in Re-Sampling for Imbalanced Data and Rare Events in Mortality Risk Models. CoRR (2020)
Hadi Akbarzadeh Khorshidi, Uwe Aickelin
Synthetic Over-sampling with the Minority and Majority classes for imbalance problems. CoRR (2020)
Justin Kane Gunn, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
Similarity measure for aggregated fuzzy numbers from interval-valued data. CoRR (2020)
Hadi Akbarzadeh Khorshidi, Michael Kirley, Uwe Aickelin
Machine learning with incomplete datasets using multi-objective optimization models. IJCNN (2020)
Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Gholamreza Haffari, Behrooz Hassani-Mahmooei
Multi-objective semi-supervised clustering to identify health service patterns for injured patients. CoRR (2020)
Xuetong Wu, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Zobaida Edib, Michelle Peate
Imputation techniques on missing values in breast cancer treatment and fertility data. CoRR (2020)
Bahram Farhadinia, Uwe Aickelin, Hadi Akbarzadeh Khorshidi
Higher order hesitant fuzzy Choquet integral operator and its application to multiple criteria decision making. CoRR (2020)
Mansoureh Maadi, Uwe Aickelin, Hadi Akbarzadeh Khorshidi
An interval-based aggregation approach based on Bagging and Interval Agreement Approach in ensemble learning. SSCI (2020)
Justin Kane Gunn, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
Methods of ranking for aggregated fuzzy numbers from interval-valued data. FUZZ-IEEE (2020)
Xuetong Wu, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Zobaida Edib, Michelle Peate
Transfer learning to enhance amenorrhea status prediction in cancer and fertility data with missing values. CoRR (2020)
Hadi Akbarzadeh Khorshidi, Michael Kirley, Uwe Aickelin
Machine learning with incomplete datasets using multi-objective optimization models. CoRR (2020)
Xuetong Wu, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Zobaida Edib, Michelle Peate
Imputation techniques on missing values in breast cancer treatment and fertility data. Health Inf. Sci. Syst. 7 (1) (2019)
Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Gholamreza Haffari, Behrooz Hassani-Mahmooei
Multi-objective semi-supervised clustering to identify health service patterns for injured patients. Health Inf. Sci. Syst. 7 (1) (2019)
Sanaz Nikfalazar, Chung-Hsing Yeh, Susan E. Bedingfield, Hadi Akbarzadeh Khorshidi
A Hybrid Missing Data Imputation Method for Constructing City Mobility Indices. AusDM (2018)
Hadi Akbarzadeh Khorshidi, Indra Gunawan, M. Yousef Ibrahim
Reliability centered maintenance using system dynamics approach. ICIT (2015)
Hadi Akbarzadeh Khorshidi, Indra Gunawan, M. Yousef Ibrahim
An optimization model for multi-state weighted kout-of-n system reliability value. IECON (2013)