A novel method of spectral clustering in attributed networks by constructing parameter-free affinity matrix. - Kamal Berahmand; Mehrnoush Mohammadi; Azadeh Faroughi; Rojiar Pir Mohammadiani (Clust. Comput., 2022)

Graph Regularized Nonnegative Matrix Factorization for Community Detection in Attributed Networks. - Kamal Berahmand; Mehrnoush Mohammadi; Farid Saberi-Movahed; Yuefeng Li; Yue Xu 001 (IEEE Trans. Netw. Sci. Eng., 2023)

WSNMF: Weighted Symmetric Nonnegative Matrix Factorization for attributed graph clustering. - Kamal Berahmand; Mehrnoush Mohammadi; Razieh Sheikhpour; Yuefeng Li; Yue Xu 001 (Neurocomputing, 2024)

Dual-view entropy-regularized nonnegative matrix factorization for attributed graph clustering. - Mehrnoush Mohammadi; Kamal Berahmand; Saman Forouzandeh; Xujuan Zhou; Hassan Khosravi (Inf. Sci., 2025)

Robust semi-supervised multi-label feature selection based on shared subspace and manifold learning. - Razieh Sheikhpour; Mehrnoush Mohammadi; Kamal Berahmand; Farid Saberi-Movahed; Hassan Khosravi (Inf. Sci., 2025)

Sparse feature selection using hypergraph Laplacian-based semi-supervised discriminant analysis. - Razieh Sheikhpour; Kamal Berahmand; Mehrnoush Mohammadi; Hassan Khosravi (Pattern Recognit., 2025)

AI-Assisted Co-Creation: Bridging Skill Gaps in Student-Generated Content. - Stanislav Pozdniakov; Jonathan Brazil; Mehrnoush Mohammadi; Mollie Dollinger; Shazia Sadiq; Hassan Khosravi (J. Learn. Anal., 2025)