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ORCIDAmir Moslemi
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2020 – today
- 2026
[j16]Amir Moslemi
, Aryan Safakish, Laurentius Oscar Osapoetra, Lakshmanan Sannachi, Gregory J. Czarnota:
Radiomic feature selection for response prediction of cancer treatment using sparse rank revealing QR factorization and adaptive graph: locally advanced breast cancer and head & neck cancer studies. Biomed. Signal Process. Control. 112: 108492 (2026)- [j15]Amir Moslemi, Zubeka Dang:
Discriminative nonnegative matrix factorization with autoencoder structure for unsupervised feature selection. Int. J. Mach. Learn. Cybern. 17(4): 141 (2026) - [j14]Amir Moslemi, Mina Jamshidi:
Knowledge distillation auto-encoder based feature selection. Signal Image Video Process. 20(2): 70 (2026) - 2025
- [j13]Amir Moslemi, Anna Briskina, Jason Li, Zubeka Dang, Peyman Moghaddam:
Predicting Subsurface Layer Thickness and Seismic Wave Velocity Using Deep Learning: Knowledge Distillation Approach. IEEE Access 13: 495-506 (2025) - [j12]Amir Moslemi, Fariborz Baghaei Naeini:
Subspace learning using low-rank latent representation learning and perturbation theorem: Unsupervised gene selection. Comput. Biol. Medicine 185: 109567 (2025) - [j11]Amir Moslemi, Mina Jamshidi:
Unsupervised feature selection using sparse manifold learning: Auto-encoder approach. Inf. Process. Manag. 62(1): 103923 (2025) - [c1]Zubeka Dang, Anna Jazayeri, Ran Arino, Anna Briskina, Amir Moslemi:
Unsupervised Feature Selection Using Orthogonally Constrained Matrix Factorization with Hessian Regularization and Non-Convex Sparsity. Canadian AI 2025 - 2024
- [j10]Amir Moslemi, Arash Ahmadian:
Subspace learning for feature selection via rank revealing QR factorization: Fast feature selection. Expert Syst. Appl. 256: 124919 (2024) - [j9]Amir Moslemi, Afshin Shaygani:
Subspace learning via Hessian regularized latent representation learning with l2,0-norm constraint: unsupervised feature selection. Int. J. Mach. Learn. Cybern. 15(11): 5361-5380 (2024) - 2023
- [j8]Amir Moslemi, Mahdi Bidar, Arash Ahmadian:
Subspace learning using structure learning and non-convex regularization: Hybrid technique with mushroom reproduction optimization in gene selection. Comput. Biol. Medicine 164: 107309 (2023) - [j7]Amir Moslemi, Arash Ahmadian:
Dual regularized subspace learning using adaptive graph learning and rank constraint: Unsupervised feature selection on gene expression microarray datasets. Comput. Biol. Medicine 167: 107659 (2023) - [j6]Amir Moslemi:
Sparse representation learning using ℓ1-2 compressed sensing and rank-revealing QR factorization. Eng. Appl. Artif. Intell. 125: 106663 (2023) - [j5]Amir Moslemi:
A tutorial-based survey on feature selection: Recent advancements on feature selection. Eng. Appl. Artif. Intell. 126(Part D): 107136 (2023) - 2022
- [i1]Amir Moslemi, Arash Ahmadian:
Subspace Learning for Feature Selection via Rank Revealing QR Factorization: Unsupervised and Hybrid Approaches with Non-negative Matrix Factorization and Evolutionary Algorithm. CoRR abs/2210.00418 (2022) - 2020
- [j4]Mahdi Bashiri, Amir Moslemi, Seyed Taghi Akhavan Niaki:
Robust multi-response surface optimization: a posterior preference approach. Int. Trans. Oper. Res. 27(3): 1751-1770 (2020)
2010 – 2019
- 2018
- [j3]Amir Moslemi, Mirmehdi Seyyed-Esfahani, Seyed Taghi Akhavan Niaki:
Robust surface estimation in multi-response multistage statistical optimization problems. Commun. Stat. Simul. Comput. 47(3): 762-782 (2018) - [j2]Amir Moslemi, Mirmehdi Seyyed-Esfahani:
A novel robust multivariate regression approach to optimize multiple surfaces. RAIRO Oper. Res. 52(4): 1233-1243 (2018) - 2017
- [j1]Amir Moslemi, Mirmehdi Seyyed-Esfahani:
Robustness Indices in Multistage Problems. Qual. Reliab. Eng. Int. 33(6): 1211-1224 (2017)
Coauthor Index
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