Community Detection in Complex Networks by Detecting and Expanding Core Nodes Through Extended Local Similarity of Nodes. - Kamal Berahmand; Asgarali Bouyer; Mahdi Vasighi (IEEE Trans. Comput. Soc. Syst., 2018)

A new local and multidimensional ranking measure to detect spreaders in social networks. - Kamal Berahmand; Asgarali Bouyer; Negin Samadi (Computing, 2019)

A Link-Based Similarity for Improving Community Detection Based on Label Propagation Algorithm. - Kamal Berahmand; Asgarali Bouyer (J. Syst. Sci. Complex., 2019)

Review of Swarm Intelligence-based Feature Selection Methods. - Mehrdad Rostami; Kamal Berahmand; Saman Forouzandeh (CoRR, 2020)

A novel method of constrained feature selection by the measurement of pairwise constraints uncertainty. - Mehrdad Rostami; Kamal Berahmand; Saman Forouzandeh (J. Big Data, 2020)

Spectral clustering on protein-protein interaction networks via constructing affinity matrix using attributed graph embedding. - Kamal Berahmand; Elahe Nasiri; Rojiar Pir Mohammadiani; Yuefeng Li (Comput. Biol. Medicine, 2021)

A novel link prediction algorithm for protein-protein interaction networks by attributed graph embedding. - Elahe Nasiri; Kamal Berahmand; Mehrdad Rostami; Mohammad Dabiri (Comput. Biol. Medicine, 2021)

A modified DeepWalk method for link prediction in attributed social network. - Kamal Berahmand; Elahe Nasiri; Mehrdad Rostami; Saman Forouzandeh (Computing, 2021)

Presentation a Trust Walker for rating prediction in recommender system with Biased Random Walk: Effects of H-index centrality, similarity in items and friends. - Saman Forouzandeh; Mehrdad Rostami; Kamal Berahmand (Eng. Appl. Artif. Intell., 2021)

Review of swarm intelligence-based feature selection methods. - Mehrdad Rostami; Kamal Berahmand; Elahe Nasiri; Saman Forouzandeh (Eng. Appl. Artif. Intell., 2021)

A Hotel Recommender System for Tourists Using the Artificial Bee Colony Algorithm and Fuzzy TOPSIS Model: A Case Study of TripAdvisor. - Saman Forouzandeh; Kamal Berahmand; Elahe Nasiri; Mehrdad Rostami (Int. J. Inf. Technol. Decis. Mak., 2021)

A novel community detection based genetic algorithm for feature selection. - Mehrdad Rostami; Kamal Berahmand; Saman Forouzandeh (J. Big Data, 2021)

Presentation of a recommender system with ensemble learning and graph embedding: a case on MovieLens. - Saman Forouzandeh; Kamal Berahmand; Mehrdad Rostami (Multim. Tools Appl., 2021)

A Novel Explainable and Health-aware Food Recommender System. - Merhrdad Rostami; Vahid Farahi; Kamal Berahmand; Saman Forouzandeh; Sajad Ahmadian; Mourad Oussalah 002 (KDIR, 2022)

Gene selection for microarray data classification via multi-objective graph theoretic-based method. - Mehrdad Rostami; Saman Forouzandeh; Kamal Berahmand; Mina Soltani; Meisam Shahsavari; Mourad Oussalah 002 (Artif. Intell. Medicine, 2022)

Impact of Centrality Measures on the Common Neighbors in Link Prediction for Multiplex Networks. - Elahe Nasiri; Kamal Berahmand; Zeynab Samei; Yuefeng Li (Big Data, 2022)

Graph-based relevancy-redundancy gene selection method for cancer diagnosis. - Saeid Azadifar; Mehrdad Rostami; Kamal Berahmand; Parham Moradi; Mourad Oussalah 002 (Comput. Biol. Medicine, 2022)

Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods. - Farshad Saberi-Movahed; Mahyar Mohammadifard; Adel Mehrpooya; Mohammad Rezaei-Ravari; Kamal Berahmand; Mehrdad Rostami; Saeed Karami; Mohammad Najafzadeh; Davood Hajinezhad; Mina Jamshidi; Farshid Abedi; Mahtab Mohammadifard; et al. (Comput. Biol. Medicine, 2022)

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)

An effective explainable food recommendation using deep image clustering and community detection. - Mehrdad Rostami; Usman Muhammad; Saman Forouzandeh; Kamal Berahmand; Vahid Farrahi; Mourad Oussalah 002 (Intell. Syst. Appl., 2022)

A new attributed graph clustering by using label propagation in complex networks. - Kamal Berahmand; Sogol Haghani; Mehrdad Rostami; Yuefeng Li (J. King Saud Univ. Comput. Inf. Sci., 2022)

A preference random walk algorithm for link prediction through mutual influence nodes in complex networks. - Kamal Berahmand; Elahe Nasiri; Saman Forouzandeh; Yuefeng Li (J. King Saud Univ. Comput. Inf. Sci., 2022)

Dual Regularized Unsupervised Feature Selection Based on Matrix Factorization and Minimum Redundancy with application in gene selection. - Farid Saberi-Movahed; Mehrdad Rostami; Kamal Berahmand; Saeed Karami; Prayag Tiwari; Mourad Oussalah 002; Shahab S. Band (Knowl. Based Syst., 2022)

Community Detection Algorithms in Healthcare Applications: A Systematic Review. - Mehrdad Rostami; Mourad Oussalah 002; Kamal Berahmand; Vahid Farrahi (IEEE Access, 2023)

An effective link prediction method in multiplex social networks using local random walk towards dependable pathways. - Wenjun Li; Ting Li; Kamal Berahmand (J. Comb. Optim., 2023)

Hessian-based semi-supervised feature selection using generalized uncorrelated constraint. - Razieh Sheikhpour; Kamal Berahmand; Saman Forouzandeh (Knowl. Based Syst., 2023)

Robust graph regularization nonnegative matrix factorization for link prediction in attributed networks. - Elahe Nasiri; Kamal Berahmand; Yuefeng Li (Multim. Tools Appl., 2023)

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)

A new method for recommendation based on embedding spectral clustering in heterogeneous networks (RESCHet). - Saman Forouzandeh; Kamal Berahmand; Razieh Sheikhpour; Yuefeng Li (Expert Syst. Appl., 2023)

MapReduce scheduling algorithms in Hadoop: a systematic study. - Soudabeh Hedayati; Neda Maleki; Tobias Olsson; Fredrik Ahlgren; Mahdi Seyednezhad; Kamal Berahmand (J. Cloud Comput., 2023)

DAC-HPP: deep attributed clustering with high-order proximity preserve. - Kamal Berahmand; Yuefeng Li; Yue Xu 001 (Neural Comput. Appl., 2023)

Nonnegative Matrix Factorization in Dimensionality Reduction: A Survey. - Farid Saberi-Movahed; Kamal Berahmand; Razieh Sheikhpour; Yuefeng Li; Shirui Pan (CoRR, 2024)

UIFRS-HAN: User interests-aware food recommender system based on the heterogeneous attention network. - Saman Forouzandeh; Kamal Berahmand; Mehrdad Rostami; Aliyeh Aminzadeh; Mourad Oussalah 002 (Eng. Appl. Artif. Intell., 2024)

A novel nonnegative matrix factorization-based model for attributed graph clustering by incorporating complementary information. - Vahid Jannesari; Maryam Keshvari; Kamal Berahmand (Expert Syst. Appl., 2024)

A novel healthy food recommendation to user groups based on a deep social community detection approach. - Mehrdad Rostami; Kamal Berahmand; Saman Forouzandeh; Sajad Ahmadian; Vahid Farrahi; Mourad Oussalah 002 (Neurocomputing, 2024)

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

Autoencoders and their applications in machine learning: a survey. - Kamal Berahmand; Fatemeh Daneshfar; Elaheh Sadat Salehi; Yuefeng Li; Yue Xu 001 (Artif. Intell. Rev., 2024)

Health-aware food recommendation system with dual attention in heterogeneous graphs. - Saman Forouzandeh; Mehrdad Rostami; Kamal Berahmand; Razieh Sheikhpour (Comput. Biol. Medicine, 2024)

A Deep Semi-Supervised Community Detection Based on Point-Wise Mutual Information. - Kamal Berahmand; Yuefeng Li; Yue Xu 001 (IEEE Trans. Comput. Soc. Syst., 2024)

SDAC-DA: Semi-Supervised Deep Attributed Clustering Using Dual Autoencoder. - Kamal Berahmand; Sondos Bahadori; Maryam Nooraei Abadeh; Yuefeng Li; Yue Xu 001 (IEEE Trans. Knowl. Data Eng., 2024)

NEDL-GCP: A nested ensemble deep learning model for Gynecological cancer risk prediction. - Kamal Berahmand; Xujuan Zhou; Yuefeng Li; Raj Gururajan; Prabal Datta Barua; U. Rajendra Acharya; Srinivas Kondalsamy-Chennakesavan (Array, 2025)

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)

A Comprehensive Survey on Spectral Clustering with Graph Structure Learning. - Kamal Berahmand; Farid Saberi-Movahed; Razieh Sheikhpour; Yuefeng Li; Mahdi Jalili (CoRR, 2025)