44 citations · 402 across the 28 of their papers we have counts for
28 papers
AI-Powered Hybrid Intrusion Detection Framework for Cloud Security Using Novel Metaheuristic Optimization
Maryam Mahdi Alhusseini, Alireza Rouhi, Mohammad-Reza Feizi-Derakhshi
Cybersecurity poses considerable problems to Cloud Computing (CC), especially regarding Intrusion Detection Systems (IDSs), facing difficulties with skewed datasets and suboptimal…
Benchmarking ChatGPT and DeepSeek in April 2025: A Novel Dual Perspective Sentiment Analysis Using Lexicon-Based and Deep Learning Approaches
Maryam Mahdi Alhusseini, Mohammad-Reza Feizi-Derakhshi
This study presents a novel dual-perspective approach to analyzing user reviews for ChatGPT and DeepSeek on the Google Play Store, integrating lexicon-based sentiment analysis (Tex…
Enhanced cast-128 with adaptive s-box optimization via neural networks for image protection
Fadhil Abbas Fadhil, Maryam Mahdi Alhusseini, Mohammad-Reza Feizi-Derakhshi
An improved CAST-128 encryption algorithm, which is done by implementing chaos-based adaptive S-box generation using Logistic sine Map (LSM), has been provided in this paper becaus…
AI-Enhanced Intelligent NIDS Framework: Leveraging Metaheuristic Optimization for Robust Attack Detection and Prevention
Maryam Mahdi Alhusseini, Mohammad Reza Feizi Derakhshi
In todays rapidly evolving digital landscape, safeguarding network infrastructures against cyberattacks has become a critical priority. This research presents an innovative AI-driv…
Persian topic detection based on Human Word association and graph embedding
Mehrdad Ranjbar-Khadivi, Shahin Akbarpour, Mohammad-Reza Feizi-Derakhshi +1
In this paper, we propose a framework to detect topics in social media based on Human Word Association. Identifying topics discussed in these media has become a critical and signif…
Unsupervised Broadcast News Summarization; a comparative study on Maximal Marginal Relevance (MMR) and Latent Semantic Analysis (LSA)
Majid Ramezani, Mohammad-Salar Shahryari, Amir-Reza Feizi-Derakhshi +1
The methods of automatic speech summarization are classified into two groups: supervised and unsupervised methods. Supervised methods are based on a set of features, while unsuperv…
A Human Word Association based model for topic detection in social networks
Mehrdad Ranjbar Khadivi, Shahin Akbarpour, Mohammad-Reza Feizi-Derakhshi +1
With the widespread use of social networks, detecting the topics discussed on these platforms has become a significant challenge. Current approaches primarily rely on frequent patt…
A Comprehensive Review of Visual-Textual Sentiment Analysis from Social Media Networks
Israa Khalaf Salman Al-Tameemi, Mohammad-Reza Feizi-Derakhshi, Saeed Pashazadeh +1
Social media networks have become a significant aspect of people's lives, serving as a platform for their ideas, opinions and emotions. Consequently, automated sentiment analysis (…
Text-Based Automatic Personality Prediction Using KGrAt-Net; A Knowledge Graph Attention Network Classifier
Majid Ramezani, Mohammad-Reza Feizi-Derakhshi, Mohammad-Ali Balafar
Nowadays, a tremendous amount of human communications occur on Internet-based communication infrastructures, like social networks, email, forums, organizational communication platf…
Word Embeddings and Validity Indexes in Fuzzy Clustering
Danial Toufani-Movaghar, Mohammad-Reza Feizi-Derakhshi
In the new era of internet systems and applications, a concept of detecting distinguished topics from huge amounts of text has gained a lot of attention. These methods use represen…
Knowledge Graph-Enabled Text-Based Automatic Personality Prediction
Majid Ramezani, Mohammad-Reza Feizi-Derakhshi, Mohammad-Ali Balafar
How people think, feel, and behave, primarily is a representation of their personality characteristics. By being conscious of personality characteristics of individuals whom we are…
Graph-Based Recommendation System Enhanced with Community Detection
Zeinab Shokrzadeh, Mohammad-Reza Feizi-Derakhshi, Mohammad-Ali Balafar +1
Many researchers have used tag information to improve the performance of recommendation techniques in recommender systems. Examining the tags of users will help to get their intere…
Text-based automatic personality prediction: A bibliographic review
Ali-Reza Feizi-Derakhshi, Mohammad-Reza Feizi-Derakhshi, Majid Ramezani +6
Personality detection is an old topic in psychology and Automatic Personality Prediction (or Perception) (APP) is the automated (computationally) forecasting of the personality on…
Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding
Narjes Nikzad-Khasmakhi, Mohammad-Reza Feizi-Derakhshi, Meysam Asgari-Chenaghlu +7
Background: Keyword extraction is a popular research topic in the field of natural language processing. Keywords are terms that describe the most relevant information in a document…
COVID-19 detection using deep convolutional neural networks and binary-differential-algorithm-based feature selection on X-ray images
Mohammad Saber Iraji, Mohammad-Reza Feizi-Derakhshi, Jafar Tanha
The new Coronavirus is spreading rapidly, and it has taken the lives of many people so far. The virus has destructive effects on the human lung, and early detection is very importa…
FRAKE: Fusional Real-time Automatic Keyword Extraction
Aidin Zehtab-Salmasi, Mohammad-Reza Feizi-Derakhshi, Mohamad-Ali Balafar
Keyword extraction is the process of identifying the words or phrases that express the main concepts of text to the best of one's ability. Electronic infrastructure creates a consi…
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 +2
Real time nature of social networks with bursty short messages and their respective large data scale spread among vast variety of topics are research interest of many researchers.…
Automatic Personality Prediction; an Enhanced Method Using Ensemble Modeling
Majid Ramezani, Mohammad-Reza Feizi-Derakhshi, Mohammad-Ali Balafar +7
Human personality is significantly represented by those words which he/she uses in his/her speech or writing. As a consequence of spreading the information infrastructures (specifi…
BERTERS: Multimodal Representation Learning for Expert Recommendation System with Transformer
N. Nikzad-Khasmakhi, M. A. Balafar, M. Reza Feizi-Derakhshi +1
The objective of an expert recommendation system is to trace a set of candidates' expertise and preferences, recognize their expertise patterns, and identify experts. In this paper…
A Model to Measure the Spread Power of Rumors
Zoleikha Jahanbakhsh-Nagadeh, Mohammad-Reza Feizi-Derakhshi, Majid Ramezani +7
With technologies that have democratized the production and reproduction of information, a significant portion of daily interacted posts in social media has been infected by rumors…
ExEm: Expert Embedding using dominating set theory with deep learning approaches
N. Nikzad-Khasmakhi, M. A. Balafar, M. Reza Feizi-Derakhshi +1
A collaborative network is a social network that is comprised of experts who cooperate with each other to fulfill a special goal. Analyzing this network yields meaningful informati…
A multimodal deep learning approach for named entity recognition from social media
Meysam Asgari-Chenaghlu, M. Reza Feizi-Derakhshi, Leili Farzinvash +2
Named Entity Recognition (NER) from social media posts is a challenging task. User generated content that forms the nature of social media, is noisy and contains grammatical and li…
A Speech Act Classifier for Persian Texts and its Application in Identifying Rumors
Zoleikha Jahanbakhsh-Nagadeh, Mohammad-Reza Feizi-Derakhshi, Arash Sharifi
Speech Acts (SAs) are one of the important areas of pragmatics, which give us a better understanding of the state of mind of the people and convey an intended language function. Kn…
An Enhanced Multi-Objective Biogeography-Based Optimization for Overlapping Community Detection in Social Networks with Node Attributes
Ali Reihanian, Mohammad-Reza Feizi-Derakhshi, Hadi S. Aghdasi
Community detection is one of the most important and interesting issues in social network analysis. In recent years, simultaneous considering of nodes' attributes and topological s…