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ORCIDHadi Akbarzadeh Khorshidi
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2020 – today
- 2024
[j21]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): 183-185 (2024)- [j20]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): 232-258 (2024) - [j19]Deepak Adhikari, Wei Jiang, Jinyu Zhan, Maregu Assefa, Hadi Akbarzade Khorshidi, Uwe Aickelin, Danda B. Rawat:
A Lightweight-Window-Portion-Based Multiple Imputation for Extreme Missing Gaps in IoT Systems. IEEE Internet Things J. 11(3): 3676-3689 (2024) - 2023
- [j18]Deepak Adhikari, Wei Jiang, Jinyu Zhan, Zhiyuan He, Danda B. Rawat, Uwe Aickelin, Hadi Akbarzade Khorshidi:
A Comprehensive Survey on Imputation of Missing Data in Internet of Things. ACM Comput. Surv. 55(7): 133:1-133:38 (2023) - [j17]Yuxuan Yang, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
A Diversity-Based Synthetic Oversampling Using Clustering for Handling Extreme Imbalance. SN Comput. Sci. 4(6): 848 (2023) - [j16]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): 746-748 (2023) - [c15]Mansoureh Maadi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
An Uncertainty-Accuracy-Based Score Function for Wrapper Methods in Feature Selection. FUZZ 2023: 1-6 - [c14]Mansoureh Maadi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Uncertainty in Selective Bagging: A Dynamic Bi-objective Optimization Model. SDM 2023: 235-243 - 2022
- [j15]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: 108283 (2022) - [j14]Zahra Ghasemi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Multi-objective Semi-supervised clustering for finding predictive clusters. Expert Syst. Appl. 195: 116551 (2022) - [j13]Uwe Aickelin, Mansoureh Maadi, Hadi Akbarzadeh Khorshidi:
Expert-Machine Collaborative Decision Making: We Need Healthy Competition. IEEE Intell. Syst. 37(5): 28-31 (2022) - [j12]Saeed Aramesh, Uwe Aickelin, Hadi Akbarzadeh Khorshidi:
A hybrid projection method for resource-constrained project scheduling problem under uncertainty. Neural Comput. Appl. 34(17): 14557-14576 (2022) - [c13]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: 17-28 - [i14]Zahra Ghasemi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Multi-objective Semi-supervised Clustering for Finding Predictive Clusters. CoRR abs/2201.10764 (2022) - [i13]Marzieh Soltanolkottabi, Hadi Akbarzadeh Khorshidi, Maarten J. IJzerman:
Modeling of Whole Genomic Sequencing Implementation using System Dynamics and Game Theory. CoRR abs/2210.01551 (2022) - 2021
- [j11]Hadi Akbarzade Khorshidi, Uwe Aickelin:
Constructing classifiers for imbalanced data using diversity optimisation. Inf. Sci. 565: 1-16 (2021) - [j10]Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Multicriteria group decision-making under uncertainty using interval data and cloud models. J. Oper. Res. Soc. 72(11): 2542-2556 (2021) - [c12]Mansoureh Maadi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Collaborative Human-ML Decision Making Using Experts' Privileged Information Under Uncertainty. HUMAN@AAAI Fall Symposium 2021 - [c11]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: 14:1-14:8 - [c10]Jaber Valizadeh, Uwe Aickelin, Hadi Akbarzadeh Khorshidi:
A Robust Mathematical Model for Blood Supply Chain Network using Game Theory. ICBK 2021: 448-453 - [c9]Zahra Ghasemi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
A survey on Optimisation-based Semi-supervised Clustering Methods. ICBK 2021: 477-481 - [i12]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 abs/2101.10267 (2021) - 2020
- [j9]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): 1646-1679 (2020) - [j8]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): 2419-2437 (2020) - [c8]Justin Kane Gunn, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Methods of ranking for aggregated fuzzy numbers from interval-valued data. FUZZ-IEEE 2020: 1-7 - [c7]Hadi Akbarzadeh Khorshidi, Michael Kirley, Uwe Aickelin:
Machine learning with incomplete datasets using multi-objective optimization models. IJCNN 2020: 1-8 - [c6]Mansoureh Maadi, Uwe Aickelin, Hadi Akbarzadeh Khorshidi:
An interval-based aggregation approach based on Bagging and Interval Agreement Approach in ensemble learning. SSCI 2020: 692-699 - [i11]Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Synthetic Over-sampling with the Minority and Majority classes for imbalance problems. CoRR abs/2011.04170 (2020) - [i10]Bahram Farhadinia, Uwe Aickelin, Hadi Akbarzadeh Khorshidi:
Uncertainty measures for probabilistic hesitant fuzzy sets in multiple criteria decision making. CoRR abs/2011.08182 (2020) - [i9]Bahram Farhadinia, Uwe Aickelin, Hadi Akbarzadeh Khorshidi:
Higher order hesitant fuzzy Choquet integral operator and its application to multiple criteria decision making. CoRR abs/2011.08183 (2020) - [i8]Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Gholamreza Haffari, Behrooz Hassani-Mahmooei:
Multi-objective semi-supervised clustering to identify health service patterns for injured patients. CoRR abs/2011.09911 (2020) - [i7]Xuetong Wu, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Zobaida Edib, Michelle Peate:
Imputation techniques on missing values in breast cancer treatment and fertility data. CoRR abs/2011.09912 (2020) - [i6]Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Multicriteria Group Decision-Making Under Uncertainty Using Interval Data and Cloud Models. CoRR abs/2012.01569 (2020) - [i5]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 abs/2012.01974 (2020) - [i4]Justin Kane Gunn, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Methods of ranking for aggregated fuzzy numbers from interval-valued data. CoRR abs/2012.02194 (2020) - [i3]Justin Kane Gunn, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Similarity measure for aggregated fuzzy numbers from interval-valued data. CoRR abs/2012.03721 (2020) - [i2]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 abs/2012.09645 (2020) - [i1]Hadi Akbarzadeh Khorshidi, Michael Kirley, Uwe Aickelin:
Machine learning with incomplete datasets using multi-objective optimization models. CoRR abs/2012.13352 (2020)
2010 – 2019
- 2019
- [j7]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): 18 (2019) - [j6]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): 19 (2019) - 2018
- [c5]Sanaz Nikfalazar, Chung-Hsing Yeh, Susan E. Bedingfield, Hadi Akbarzadeh Khorshidi:
A Hybrid Missing Data Imputation Method for Constructing City Mobility Indices. AusDM 2018: 135-148 - 2017
- [j5]Hadi Akbarzade Khorshidi, Sanaz Nikfalazar:
An improved similarity measure for generalized fuzzy numbers and its application to fuzzy risk analysis. Appl. Soft Comput. 52: 478-486 (2017) - [c4]Sanaz Nikfalazar, Chung-Hsing Yeh, Susan E. Bedingfield, Hadi Akbarzade Khorshidi:
A new iterative fuzzy clustering algorithm for multiple imputation of missing data. FUZZ-IEEE 2017: 1-6 - 2016
- [j4]Hadi Akbarzade Khorshidi, Indra Gunawan, M. Yousef Ibrahim:
Applying UGF Concept to Enhance the Assessment Capability of FMEA. Qual. Reliab. Eng. Int. 32(3): 1085-1093 (2016) - [j3]Sanaz Nikfalazar, Hadi Akbarzade Khorshidi, Ali Zeinal Hamadani:
Fuzzy risk analysis by similarity-based multi-criteria approach to classify alternatives. Int. J. Syst. Assur. Eng. Manag. 7(3): 250-256 (2016) - [j2]Hadi Akbarzade Khorshidi, Indra Gunawan, M. Yousef Ibrahim:
Data-Driven System Reliability and Failure Behavior Modeling Using FMECA. IEEE Trans. Ind. Informatics 12(3): 1253-1260 (2016) - 2015
- [c3]Hadi Akbarzadeh Khorshidi, Indra Gunawan, M. Yousef Ibrahim:
Reliability centered maintenance using system dynamics approach. ICIT 2015: 1932-1936 - [c2]Hadi Akbarzade Khorshidi, Indra Gunawan, Agung Sutrisno, Sanaz Nikfalazar:
An investigation on imperialist competitive algorithm for solving reliability-redundancy allocation problems. IEEM 2015: 1041-1045 - 2013
- [c1]Hadi Akbarzadeh Khorshidi, Indra Gunawan, M. Yousef Ibrahim:
An optimization model for multi-state weighted kout-of-n system reliability value. IECON 2013: 4357-4361 - 2011
- [j1]Hadi Akbarzade Khorshidi, Seyed Reza Hejazi:
Optimising service quality translating via quantitative quality function deployment. Int. J. Serv. Stand. 7(2): 169-180 (2011)
Coauthor Index
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