Medical Image Segmentation Using Anisotropic Filter, User Interaction and Fuzzy C-Mean (FCM). - M. A. Balafar; Abdul Rahman Ramli; M. Iqbal Saripan; Rozi Mahmud; Syamsiah Mashohor (ICIC (3), 2008)

Medical Image Segmentation Using Fuzzy C-Mean (FCM), Learning Vector Quantization (LVQ) and User Interaction. - M. A. Balafar; Abdul Rahman Ramli; M. Iqbal Saripan; Rozi Mahmud; Syamsiah Mashohor (ICIC (3), 2008)

A new method for MR grayscale inhomogeneity correction. - M. A. Balafar; Abdul Rahman Ramli; Syamsiah Mashohor (Artif. Intell. Rev., 2010)

Review of brain MRI image segmentation methods. - M. A. Balafar; Abdul Rahman Ramli; M. Iqbal Saripan; Syamsiah Mashohor (Artif. Intell. Rev., 2010)

Medical Image Segmentation Using Fuzzy C-Mean (FCM) and User Specified Data. - M. A. Balafar; Abdul Rahman Ramli; M. Iqbal Saripan; Syamsiah Mashohor; Rozi Mahmud (J. Circuits Syst. Comput., 2010)

Improved Fast Fuzzy C-Mean and its Application in Medical Image Segmentation. - M. A. Balafar; Abdul Rahman Ramli; M. Iqbal Saripan; Syamsiah Mashohor; Rozi Mahmud (J. Circuits Syst. Comput., 2010)

Robust Recognition against Illumination Variations Based on SIFT. - Farzan Erlik Nowruzi; Mohammad Ali Balafar; Saeid Pashazadeh (ICIRA (3), 2012)

New spatial based MRI image de-noising algorithm. - M. A. Balafar (Artif. Intell. Rev., 2013)

Gaussian mixture model based segmentation methods for brain MRI images. - M. A. Balafar (Artif. Intell. Rev., 2014)

Fuzzy C-mean based brain MRI segmentation algorithms. - M. A. Balafar (Artif. Intell. Rev., 2014)

Visual multi secret sharing by cylindrical random grid. - Saman Salehi; M. A. Balafar (J. Inf. Secur. Appl., 2014)

Empowering particle swarm optimization algorithm using multi agents' capability: A holonic approach. - Mahdi Roshanzamir; Mohammad Ali Balafar; Seyed Naser Razavi (Knowl. Based Syst., 2017)

Fuzzy clustering based on Forest optimization algorithm. - Arash Chaghari; Mohammad-Reza Feizi-Derakhshi; Mohammad Ali Balafar (J. King Saud Univ. Comput. Inf. Sci., 2018)

A hybrid algorithm using a genetic algorithm and multiagent reinforcement learning heuristic to solve the traveling salesman problem. - Mir Mohammad Alipour; Seyed Naser Razavi; Mohammad-Reza Feizi-Derakhshi; Mohammad Ali Balafar (Neural Comput. Appl., 2018)

The state-of-the-art in expert recommendation systems. - Narjes Nikzad-Khasmakhi; M. A. Balafar; Mohammad-Reza Feizi-Derakhshi (Eng. Appl. Artif. Intell., 2019)

A novel image encryption algorithm based on polynomial combination of chaotic maps and dynamic function generation. - Meysam Asgari-Chenaghlu; Mohammad Ali Balafar; Mohammad-Reza Feizi-Derakhshi (Signal Process., 2019)

The combination of term relations analysis and weighted frequent itemset model for multidocument summarization. - Arash Chaghari; Mohammad-Reza Feizi-Derakhshi; Mohammad Ali Balafar (Comput. Intell., 2020)

Active Learning for Constrained Document Clustering with Uncertainty Region. - M. A. Balafar; R. Hazratgholizadeh; Mohammad-Reza Feizi-Derakhshi (Complex., 2020)

A Model to Measure the Spread Power of Rumors. - Zoleikha Jahanbakhsh-Nagadeh; Mohammad-Reza Feizi-Derakhshi; Majid Ramezani; Taymaz Rahkar-Farshi; Meysam Asgari-Chenaghlu; Narjes Nikzad-Khasmakhi; Ali-Reza Feizi-Derakhshi; Mehrdad Ranjbar-Khadivi; Elnaz Zafarani-Moattar; Mohammad Ali Balafar (CoRR, 2020)

Automatic Personality Prediction; an Enhanced Method Using Ensemble Modeling. - Majid Ramezani; Mohammad-Reza Feizi-Derakhshi; Mohammad Ali Balafar; Meysam Asgari-Chenaghlu; Ali-Reza Feizi-Derakhshi; Narjes Nikzad-Khasmakhi; Mehrdad Ranjbar-Khadivi; Zoleikha Jahanbakhsh-Nagadeh; Elnaz Zafarani-Moattar; Taymaz Rahkar-Farshi (CoRR, 2020)

BERTERS: Multimodal Representation Learning for Expert Recommendation System with Transformer. - Narjes Nikzad-Khasmakhi; Mohammad Ali Balafar; Mohammad-Reza Feizi-Derakhshi; Cina Motamed (CoRR, 2020)

TopicBERT: A Transformer transfer learning based memory-graph approach for multimodal streaming social media topic detection. - Meysam Asgari-Chenaghlu; Mohammad-Reza Feizi-Derakhshi; Leili Farzinvash; Mohammad Ali Balafar; Cina Motamed (CoRR, 2020)

A survey of neighborhood construction algorithms for clustering and classifying data points. - Shahin Pourbahrami; Mohammad Ali Balafar; Leyli Mohammad Khanli; Zana Azeez Kakarash (Comput. Sci. Rev., 2020)

A new hierarchical multi group particle swarm optimization with different task allocations inspired by holonic multi agent systems. - Mahdi Roshanzamir; Mohammad Ali Balafar; Seyed Naser Razavi (Expert Syst. Appl., 2020)

Emphasis Learning, Features Repetition in Width Instead of Length to Improve Classification Performance: Case Study - Alzheimer's Disease Diagnosis. - Hamid Akramifard; Mohammad Ali Balafar; Seyed Naser Razavi; Abd. Rahman bin Ramli (Sensors, 2020)

CGFFCM: Cluster-weight and Group-local Feature-weight learning in Fuzzy C-Means clustering algorithm for color image segmentation. - Amin Golzari Oskouei; Mahdi Hashemzadeh; Bahareh Asheghi; Mohammad Ali Balafar (Appl. Soft Comput., 2021)

Topic Detection and Tracking Techniques on Twitter: A Systematic Review. - Meysam Asgari-Chenaghlu; Mohammad-Reza Feizi-Derakhshi; Leili Farzinvash; Mohammad Ali Balafar; Cina Motamed (Complex., 2021)

FRAKE: Fusional Real-time Automatic Keyword Extraction. - Aidin Zehtab-Salmasi; Mohammad-Reza Feizi-Derakhshi; Mohammad Ali Balafar (CoRR, 2021)

Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding. - Narjes Nikzad-Khasmakhi; Mohammad-Reza Feizi-Derakhshi; Meysam Asgari-Chenaghlu; Mohammad Ali Balafar; Ali-Reza Feizi-Derakhshi; Taymaz Rahkar-Farshi; Majid Ramezani; Zoleikha Jahanbakhsh-Nagadeh; Elnaz Zafarani-Moattar; Mehrdad Ranjbar-Khadivi (CoRR, 2021)

Using hybrid artificial intelligence approach based on a neuro-fuzzy system and evolutionary algorithms for modeling landslide susceptibility in East Azerbaijan Province, Iran. - Solmaz Abdollahizad; Mohammad Ali Balafar; Bakhtiar Feizizadeh; Amin Babazadeh Sangar; Karim Samadzamini (Earth Sci. Informatics, 2021)

Correction to: Using hybrid artificial intelligence approach based on a neuro‑fuzzy system and evolutionary algorithms for modeling landslide susceptibility in East Azerbaijan Province, Iran. - Solmaz Abdollahizad; Mohammad Ali Balafar; Bakhtiar Feizizadeh; Amin Babazadeh Sangar; Karim Samadzamini (Earth Sci. Informatics, 2021)

ExEm: Expert embedding using dominating set theory with deep learning approaches. - Narjes Nikzad-Khasmakhi; Mohammad Ali Balafar; Mohammad-Reza Feizi-Derakhshi; Cina Motamed (Expert Syst. Appl., 2021)

Cy: Chaotic yolo for user intended image encryption and sharing in social media. - Meysam Asgari-Chenaghlu; Mohammad-Reza Feizi-Derakhshi; Narjes Nikzad-Khasmakhi; Ali-Reza Feizi-Derakhshi; Majid Ramezani; Zoleikha Jahanbakhsh-Nagadeh; Taymaz Rahkar-Farshi; Elnaz Zafarani-Moattar; Mehrdad Ranjbar-Khadivi; Mohammad Ali Balafar (Inf. Sci., 2021)

A new Grayscale image encryption algorithm composed of logistic mapping, Arnold cat, and image blocking. - Delavar Zareai; Mohammad Ali Balafar; Mohammad-Reza Feizi-Derakhshi (Multim. Tools Appl., 2021)

SSTRN: Semantic Style Transfer Reference Network for Face Super-Resolution. - Saghar Farhangfar; Aryaz Baradarani; Mohammad Ali Balafar; Mohammad Asadpour (IWSSIP, 2022)

Resource recommender system performance improvement by exploring similar tags and detecting tags communities. - Zeinab Shokrzadeh; Mohammad-Reza Feizi-Derakhshi; Mohammad Ali Balafar; Jamshid Bagherzadeh Mohasefi (CoRR, 2022)

Knowledge Graph-Enabled Text-Based Automatic Personality Prediction. - Majid Ramezani; Mohammad-Reza Feizi-Derakhshi; Mohammad Ali Balafar (CoRR, 2022)

Text-Based Automatic Personality Prediction Using KGrAt-Net; A Knowledge Graph Attention Network Classifier. - Majid Ramezani; Mohammad-Reza Feizi-Derakhshi; Mohammad Ali Balafar (CoRR, 2022)

CWI: A multimodal deep learning approach for named entity recognition from social media using character, word and image features. - Meysam Asgari-Chenaghlu; Mohammad-Reza Feizi-Derakhshi; Leili Farzinvash; M. A. Balafar; Cina Motamed (Neural Comput. Appl., 2022)

Automatic personality prediction: an enhanced method using ensemble modeling. - Majid Ramezani; Mohammad-Reza Feizi-Derakhshi; Mohammad Ali Balafar; Meysam Asgari-Chenaghlu; Ali-Reza Feizi-Derakhshi; Narjes Nikzad-Khasmakhi; Mehrdad Ranjbar-Khadivi; Zoleikha Jahanbakhsh-Nagadeh; Elnaz Zafarani-Moattar; Taymaz Akan (Neural Comput. Appl., 2022)

Single Image Super-Resolution Network with Enhanced Octave Convolution for Separating Image Frequencies. - Saghar Farhangfar; Aryaz Baradarani; Mohammad Asadpour; Mohammad Ali Balafar; Roman Gr. Maev (ICCCNT, 2023)

Detecting Communities in Complex Networks Using an Adaptive Genetic Algorithm and Node Similarity-Based Encoding. - Sajjad Hesamipour; Mohammad Ali Balafar; Saeed Mousazadeh (Complex., 2023)

Active constrained deep embedded clustering with dual source. - R. Hazratgholizadeh; M. A. Balafar; Mohammad-Reza Feizi-Derakhshi (Appl. Intell., 2023)

EDCWRN: efficient deep clustering with the weight of representations and the help of neighbors. - Amin Golzari Oskouei; Mohammad Ali Balafar; Cina Motamed (Appl. Intell., 2023)

A convolutional autoencoder model with weighted multi-scale attention modules for 3D skeleton-based action recognition. - F. Khezerlou; Aryaz Baradarani; M. A. Balafar (J. Vis. Commun. Image Represent., 2023)

Stacking ensemble approach in data mining methods for landslide prediction. - Solmaz Abdollahizad; Mohammad Ali Balafar; Bakhtiar Feizizadeh; Amin Babazadeh Sangar; Karim Samadzamini (J. Supercomput., 2023)

Trust-aware and energy-efficient data gathering in wireless sensor networks using PSO. - Keiwan Soltani; Leili Farzinvash; Mohammad Ali Balafar (Soft Comput., 2023)

RDEIC-LFW-DSS: ResNet-based deep embedded image clustering using local feature weighting and dynamic sample selection mechanism. - Amin Golzari Oskouei; Mohammad Ali Balafar; Cina Motamed (Inf. Sci., 2023)

A model to measure the spread power of rumors. - Zoleikha Jahanbakhsh-Nagadeh; Mohammad-Reza Feizi-Derakhshi; Majid Ramezani; Taymaz Akan; Meysam Asgari-Chenaghlu; Narjes Nikzad-Khasmakhi; Ali-Reza Feizi-Derakhshi; Mehrdad Ranjbar-Khadivi; Elnaz Zafarani-Moattar; Mohammad Ali Balafar (J. Ambient Intell. Humaniz. Comput., 2023)

Computing semantic similarity of texts by utilizing dependency graph. - Majid Mohebbi; Seyed Naser Razavi; Mohammad Ali Balafar (J. Intell. Inf. Syst., 2023)

ASVMK: A novel SVMs Kernel based on Apollonius function and density peak clustering. - Shahin Pourbahrami; Mohammad Ali Balafar; Leyli Mohammad Khanli (Eng. Appl. Artif. Intell., 2023)

AMTLDC: a new adversarial multi-source transfer learning framework to diagnosis of COVID-19. - Hadi Alhares; Jafar Tanha; Mohammad Ali Balafar (Evol. Syst., 2023)

EGPIECLMAC: efficient grayscale privacy image encryption with chaos logistics maps and Arnold Cat. - Delavar Zareai; Mohammad Ali Balafar; Mohammad-Reza Feizi-Derakhshi (Evol. Syst., 2023)

DGBPSO-DBSCAN: An Optimized Clustering Technique Based on Supervised/Unsupervised Text Representation. - Asma Khazaal Abdulsahib; M. A. Balafar; Aryaz Baradarani (IEEE Access, 2024)

An Attention-Based Convolutional Recurrent Neural Networks for Scene Text Recognition. - Adil Abdullah Abdulhussein Alshawi; Jafar Tanha; Mohammad Ali Balafar (IEEE Access, 2024)

Adaptive deep learning models for efficient multivariate anomaly detection in IoT infrastructures. - Ali Jameel Hashim; M. A. Balafar; Jafar Tanha; Aryaz Baradarani (Appl. Soft Comput., 2024)

A cloud-based hybrid intrusion detection framework using XGBoost and ADASYN-Augmented random forest for IoMT. - Arash Salehpour; Monire Norouzi; Mohammad Ali Balafar; Karim Samadzamini (IET Commun., 2024)

Simultaneous single image super-resolution and blind Gaussian denoising via slim ghost full-frequency residual blocks. - Saghar Farhangfar; Aryaz Baradarani; Mohammad Asadpour; Mohammad Ali Balafar; Roman Gr. Maev (IET Image Process., 2024)

NEAE: NeuroEvolution AutoEncoder for anomaly detection in internet traffic data. - Ali Jameel Hashim; M. A. Balafar; Jafar Tanha (J. Supercomput., 2024)

Spatio-temporal attention modules in orientation-magnitude-response guided multi-stream CNNs for human action recognition. - F. Khezerlou; Aryaz Baradarani; Mohammad Ali Balafar; Roman Gr. Maev (IET Image Process., 2024)

A novel individual-relational consistency for bad semi-supervised generative adversarial networks (IRC-BSGAN) in image classification and synthesis. - Mohammad Saber Iraji; Jafar Tanha; Mohammad Ali Balafar; Mohammad-Reza Feizi-Derakhshi (Appl. Intell., 2024)

Image classification with consistency-regularized bad semi-supervised generative adversarial networks: a visual data analysis and synthesis. - Mohammad Saber Iraji; Jafar Tanha; Mohammad Ali Balafar; Mohammad-Reza Feizi-Derakhshi (Vis. Comput., 2024)

A novel interpolation consistency for bad generative adversarial networks (IC-BGAN). - Mohammad Saber Iraji; Jafar Tanha; Mohammad Ali Balafar; Mohammad-Reza Feizi-Derakhshi (Multim. Tools Appl., 2024)

Review of heterogeneous graph embedding methods based on deep learning techniques and comparing their efficiency in node classification. - Azad Noori; Mohammad Ali Balafar; Asgarali Bouyer; Khosro Salmani (Soc. Netw. Anal. Min., 2024)

A Novel Multimodal Deep Learning Approach With Loss Function for Detection of Sleep Apnea Events. - Alireza Fakhim Babaei; Jafar Tanha; Mohammad Ali Balafar; Seyed Ehsan Roshan (IEEE Access, 2025)

Human embryo stage classification using an enhanced R(2 + 1)D model and dynamic programming with optimized datasets. - Abbas Barhoun; Mohammad Ali Balafar; Amin Golzari Oskouei; Leila Sadeghi (Biomed. Signal Process. Control., 2025)

An Efficient Deep Learning-Based Framework for Predicting Cyber Violence in Social Networks. - Younes Fayand Fathabad; Mohammad Ali Balafar; Amin Golzari Oskouei; Kamal Koohi (Complex., 2025)

ParNet: Joint image super-resolution and blind denoising with expanded residual blocks and multi-scale ghost-gated metaformers. - Saghar Farhangfar; Aryaz Baradarani; Mohammad Asadpour; Mohammad Ali Balafar; Roman Gr. Maev (Digit. Signal Process., 2025)

AEVAE: Adaptive Evolutionary Autoencoder for Anomaly Detection in Time Series. - Ali Jameel Hashim; M. A. Balafar; Jafar Tanha; Aryaz Baradarani (IEEE Trans. Neural Networks Learn. Syst., 2025)

An optimized intrusion detection system for resource-constrained IoMT environments: enhancing security through efficient feature selection and classification. - Arash Salehpour; Mohammad Ali Balafar; Alireza Souri (J. Supercomput., 2025)

A novel contrastive multi-view framework for heterogeneous graph embedding. - Azad Noori; Mohammad Ali Balafar; Asgarali Bouyer; Khosro Salmani (Knowl. Inf. Syst., 2025)