13 citations · 46 across the 15 of their papers we have counts for
18 papers
PRICE: A Systematic Study of LLM Adaptation Choices for Bitcoin Price Forecasting
Maryam Fakhari, Mehran Safayani
Cryptocurrency markets exhibit extreme volatility and non-stationary dynamics that challenge conventional forecasting methods. Although Large Language Models (LLMs) have shown prom…
ASDFormer: A Transformer with Mixtures of Pooling-Classifier Experts for Robust Autism Diagnosis and Biomarker Discovery
Mohammad Izadi, Mehran Safayani
Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition marked by disruptions in brain connectivity. Functional MRI (fMRI) offers a non-invasive window into large-…
A Dual-Attention Graph Network for fMRI Data Classification
Amirali Arbab, Zeinab Davarani, Mehran Safayani
Understanding the complex neural activity dynamics is crucial for the development of the field of neuroscience. Although current functional MRI classification approaches tend to be…
GraPLUS: Graph-based Placement Using Semantics for Image Composition
Mir Mohammad Khaleghi, Mehran Safayani, Abdolreza Mirzaei
We present GraPLUS (Graph-based Placement Using Semantics), a novel framework for plausible object placement in images that leverages scene graphs and large language models. Our ap…
Unpaired Image-to-Image Translation with Content Preserving Perspective: A Review
Mehran Safayani, Behnaz Mirzapour, Hanieh aghaebrahimiyan +2
Image-to-image translation (I2I) transforms an image from a source domain to a target domain while preserving source content. Most computer vision applications are in the field of…
OPSD: an Offensive Persian Social media Dataset and its baseline evaluations
Mehran Safayani, Amir Sartipi, Amir Hossein Ahmadi +4
The proliferation of hate speech and offensive comments on social media has become increasingly prevalent due to user activities. Such comments can have detrimental effects on indi…
Knowledge Distillation on Spatial-Temporal Graph Convolutional Network for Traffic Prediction
Mohammad Izadi, Mehran Safayani, Abdolreza Mirzaei
Efficient real-time traffic prediction is crucial for reducing transportation time. To predict traffic conditions, we employ a spatio-temporal graph neural network (ST-GNN) to mode…
HDGL: A hierarchical dynamic graph representation learning model for brain disorder classification
Parnian Jalali, Mehran Safayani
The human brain can be considered as complex networks, composed of various regions that continuously exchange their information with each other, forming the brain network graph, fr…
Clustering based on Mixtures of Sparse Gaussian Processes
Zahra Moslehi, Abdolreza Mirzaei, Mehran Safayani
Creating low dimensional representations of a high dimensional data set is an important component in many machine learning applications. How to cluster data using their low dimensi…
Deep Graph Clustering via Mutual Information Maximization and Mixture Model
Maedeh Ahmadi, Mehran Safayani, Abdolreza Mirzaei
Attributed graph clustering or community detection which learns to cluster the nodes of a graph is a challenging task in graph analysis. In this paper, we introduce a contrastive l…
Biomedical text summarization using Conditional Generative Adversarial Network(CGAN)
Seyed Vahid Moravvej, Abdolreza Mirzaei, Mehran Safayani
Text summarization in medicine can help doctors for reducing the time to access important information from countless documents. The paper offers a supervised extractive summarizati…
Joint Sentiment/Topic Modeling on Text Data Using Boosted Restricted Boltzmann Machine
Masoud Fatemi, Mehran Safayani
Recently by the development of the Internet and the Web, different types of social media such as web blogs become an immense source of text data. Through the processing of these da…
A Latent Variable Model for Two-Dimensional Canonical Correlation Analysis and its Variational Inference
Mehran Safayani, Saeid Momenzadeh
Describing the dimension reduction (DR) techniques by means of probabilistic models has recently been given special attention. Probabilistic models, in addition to a better interpr…
An EM Based Probabilistic Two-Dimensional CCA with Application to Face Recognition
Mehran Safayani, Seyed Hashem Ahmadi, Homayun Afrabandpey +1
Recently, two-dimensional canonical correlation analysis (2DCCA) has been successfully applied for image feature extraction. The method instead of concatenating the columns of the…
Duplicate matching and estimating features for detection of copy-move images forgery
Ghassem Alikhajeh, Abdolreza Mirzaei, Mehran Safayani +1
Copy-move forgery is the most popular and simplest image manipulation method. In this type of forgery, an area from the image copied, then after post processing such as rotation an…
Extended Two-Dimensional PCA for Efficient Face Representation and Recognition
Mehran Safayani, Mohammad T. Manzuri-Shalmani, Mahmoud Khademi
In this paper a novel method called Extended Two-Dimensional PCA (E2DPCA) is proposed which is an extension to the original 2DPCA. We state that the covariance matrix of 2DPCA is e…
Multilinear Biased Discriminant Analysis: A Novel Method for Facial Action Unit Representation
Mahmoud Khademi, Mehran Safayani, Mohammad T. Manzuri-Shalmani
In this paper a novel efficient method for representation of facial action units by encoding an image sequence as a fourth-order tensor is presented. The multilinear tensor-based e…
Facial Expression Representation and Recognition Using 2DHLDA, Gabor Wavelets, and Ensemble Learning
Mahmoud Khademi, Mohammad H. Kiapour, Mehran Safayani +2
In this paper, a novel method for representation and recognition of the facial expressions in two-dimensional image sequences is presented. We apply a variation of two-dimensional…