Anomaly detection based on an enhanced projection distance. - Shima Asgharian Jouibari; Saeed Jalili; Mohammad Rahmanimanesh (IST, 2012)

Fusion of one-class classifiers for protocol-based anomaly detection in AODV-based mobile ad hoc networks. - Mohammad Rahmanimanesh; Saeed Jalili; Ahmad R. Sharafat (Int. J. Ad Hoc Ubiquitous Comput., 2013)

Routing anomaly detection in OLSR-based MANETs. - Hojjat Gohargazi; Saeed Jalili; Mohammad Rahmanimanesh (Int. J. Mob. Commun., 2015)

FIS-MPT: fuzzy inference system-based melody production tools. - Negar Rezaei; Mohammad Rahmanimanesh (Int. J. Arts Technol., 2019)

Adaptive three-phase support vector data description. - Mohammad Rahmanimanesh; Jalal A. Nasiri; Saeed Jalili; Nasrollah Moghaddam Charkari (Pattern Anal. Appl., 2019)

Persian Handwritten Digit Recognition Using Combination of Convolutional Neural Network and Support Vector Machine Methods. - Mohammad Javad Parseh; Mohammad Rahmanimanesh; Parviz Keshavarzi (Int. Arab J. Inf. Technol., 2020)

Fast level set method for glioma brain tumor segmentation based on Superpixel fuzzy clustering and lattice Boltzmann method. - Asieh Khosravanian; Mohammad Rahmanimanesh; Parviz Keshavarzi; Saeed Mozaffari (Comput. Methods Programs Biomed., 2021)

Discrete Social Spider Algorithm for Solving Traveling Salesman Problem. - Asieh Khosravanian; Mohammad Rahmanimanesh; Parviz Keshavarzi (Int. J. Comput. Intell. Appl., 2021)

Fuzzy local intensity clustering (FLIC) model for automatic medical image segmentation. - Asieh Khosravanian; Mohammad Rahmanimanesh; Parviz Keshavarzi; Saeed Mozaffari (Vis. Comput., 2021)

Mobile financial applications development using an integrated approach of the netnography, fuzzy QFD and fuzzy flowsort. - Mohsen Shafiei Nikabadi; Mohammad Rahmanimanesh; Hanieh Shambayati (Int. J. Bus. Inf. Syst., 2022)

Semantic-aware visual scene representation. - Mohammad Javad Parseh; Mohammad Rahmanimanesh; Parviz Keshavarzi; Zohreh Azimifar (Int. J. Multim. Inf. Retr., 2022)

On evaluating the collaborative research areas: A case study. - Mona Moradi; Mohammad Rahmanimanesh; Ali Shahzadi (J. King Saud Univ. Comput. Inf. Sci., 2022)

Detection of gait disorders in people with a walking disability. - Esmaeel Khaleghi; Hadi Soltanizadeh; Masoume Gholizade; Farhad Azadi; Mohammad Zahraei; Mohammad Rahmanimanesh (Multim. Tools Appl., 2022)

Level set method for automated 3D brain tumor segmentation using symmetry analysis and kernel induced fuzzy clustering. - Asieh Khosravanian; Mohammad Rahmanimanesh; Parviz Keshavarzi; Saeed Mozaffari; Kamran Kazemi (Multim. Tools Appl., 2022)

Optimization of virtual closed-loop supply chain under uncertainty: application of IoT. - Hanieh Shambayati; Mohsen Shafiei Nikabadi; Seyed Mohammad Ali Khatami Firouzabadi; Mohammad Rahmanimanesh; Sara Saberi (Kybernetes, 2023)

Enhancing level set brain tumor segmentation using fuzzy shape prior information and deep learning. - Asieh Khosravanian; Mohammad Rahmanimanesh; Parviz Keshavarzi; Saeed Mozaffari (Int. J. Imaging Syst. Technol., 2023)

Semantic embedding: scene image classification using scene-specific objects. - Mohammad Javad Parseh; Mohammad Rahmanimanesh; Parviz Keshavarzi; Zohreh Azimifar (Multim. Syst., 2023)

Smooth unsupervised domain adaptation considering uncertainties. - Mona Moradi; Mohammad Rahmanimanesh; Ali Shahzadi; Reza Monsefi (Inf. Sci., 2023)

Transfer learning for concept drifting data streams in heterogeneous environments. - Mona Moradi; Mohammad Rahmanimanesh; Ali Shahzadi (Knowl. Inf. Syst., 2024)

Unsupervised domain adaptation by incremental learning for concept drifting data streams. - Mona Moradi; Mohammad Rahmanimanesh; Ali Shahzadi (Int. J. Mach. Learn. Cybern., 2024)

Scene representation using a new two-branch neural network model. - Mohammad Javad Parseh; Mohammad Rahmanimanesh; Parviz Keshavarzi; Zohreh Azimifar (Vis. Comput., 2024)

A review of recent advances and strategies in transfer learning. - Masoume Gholizade; Hadi Soltanizadeh; Mohammad Rahmanimanesh; Shib Sankar Sana (Int. J. Syst. Assur. Eng. Manag., 2025)

Learning from streaming data with unsupervised heterogeneous domain adaptation. - Mona Moradi; Mohammad Rahmanimanesh; Ali Shahzadi (Int. J. Data Sci. Anal., 2025)