Robustness Indices in Multistage Problems. - Amir Moslemi; Mirmehdi Seyyed-Esfahani (Qual. Reliab. Eng. Int., 2017)

Robust surface estimation in multi-response multistage statistical optimization problems. - Amir Moslemi; Mirmehdi Seyyed-Esfahani; Seyed Taghi Akhavan Niaki (Commun. Stat. Simul. Comput., 2018)

A novel robust multivariate regression approach to optimize multiple surfaces. - Amir Moslemi; Mirmehdi Seyyed-Esfahani (RAIRO Oper. Res., 2018)

Robust multi-response surface optimization: a posterior preference approach. - Mahdi Bashiri; Amir Moslemi; Seyed Taghi Akhavan Niaki (Int. Trans. Oper. Res., 2020)

Subspace Learning for Feature Selection via Rank Revealing QR Factorization: Unsupervised and Hybrid Approaches with Non-negative Matrix Factorization and Evolutionary Algorithm. - Amir Moslemi; Arash Ahmadian (CoRR, 2022)

Sparse representation learning using ℓ1-2 compressed sensing and rank-revealing QR factorization. - Amir Moslemi (Eng. Appl. Artif. Intell., 2023)

Subspace learning using structure learning and non-convex regularization: Hybrid technique with mushroom reproduction optimization in gene selection. - Amir Moslemi; Mahdi Bidar; Arash Ahmadian (Comput. Biol. Medicine, 2023)

A tutorial-based survey on feature selection: Recent advancements on feature selection. - Amir Moslemi (Eng. Appl. Artif. Intell., 2023)

Dual regularized subspace learning using adaptive graph learning and rank constraint: Unsupervised feature selection on gene expression microarray datasets. - Amir Moslemi; Arash Ahmadian (Comput. Biol. Medicine, 2023)

Subspace learning for feature selection via rank revealing QR factorization: Fast feature selection. - Amir Moslemi; Arash Ahmadian (Expert Syst. Appl., 2024)

Subspace learning via Hessian regularized latent representation learning with l2,0-norm constraint: unsupervised feature selection. - Amir Moslemi; Afshin Shaygani (Int. J. Mach. Learn. Cybern., 2024)

Unsupervised Feature Selection Using Orthogonally Constrained Matrix Factorization with Hessian Regularization and Non-Convex Sparsity. - Zubeka Dang; Anna Jazayeri; Ran Arino; Anna Briskina; Amir Moslemi (Canadian AI, 2025)

Predicting Subsurface Layer Thickness and Seismic Wave Velocity Using Deep Learning: Knowledge Distillation Approach. - Amir Moslemi; Anna Briskina; Jason Li; Zubeka Dang; Peyman Moghaddam (IEEE Access, 2025)

Subspace learning using low-rank latent representation learning and perturbation theorem: Unsupervised gene selection. - Amir Moslemi; Fariborz Baghaei Naeini (Comput. Biol. Medicine, 2025)

Unsupervised feature selection using sparse manifold learning: Auto-encoder approach. - Amir Moslemi; Mina Jamshidi (Inf. Process. Manag., 2025)