24 citations · 49 across the 19 of their papers we have counts for
20 papers
KG-Commit: A Dynamic Knowledge Graph for Online Just-in-Time Software Defect Prediction
Mohsen Hesamolhokama, Mohammad Sina Beyrami Aghbash, Behnam Rohani +2
Just-in-time software defect prediction (JIT-SDP) aims to identify risky commits as they arrive and provide developers with timely feedback. This need for low latency has led most…
Learning Spectral Representations of Code through Latent Graph Learning for Generalizable Cross-Language Code Clone Detection
Mohsen Hesamolhokama, Ali Sadeghi, Kousha Moeini +3
Current code clone detection (CCD) methods rely on fixed, language-specific graph representations like abstract syntax trees (ASTs) or program dependency graphs (PDGs). Because fun…
From Illusion to Insight: Change-Aware File-Level Software Defect Prediction Using Agentic AI
Mohsen Hesamolhokama, Behnam Rohani, Amirahmad Shafiee +2
Much of the reported progress in file-level software defect prediction (SDP) is, in reality, nothing but an illusion of accuracy. Over the last decades, machine learning and deep l…
SDPERL: A Framework for Software Defect Prediction Using Ensemble Feature Extraction and Reinforcement Learning
Mohsen Hesamolhokama, Amirahmad Shafiee, Mohammadreza Ahmaditeshnizi +2
Ensuring software quality remains a critical challenge in complex and dynamic development environments, where software defects can result in significant operational and financial r…
A Decision Support System for Stock Selection and Asset Allocation Based on Fundamental Data Analysis
Ali Abrishami, Jafar Habibi, AmirAli Jarrahi +2
Financial markets are integral to a country's economic success, yet their complex nature raises challenging issues for predicting their behaviors. There is a growing demand for an…
Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic Networks
Erfan Loghmani, MohammadAmin Fazli
Representation learning methods have revolutionized machine learning on networks by converting discrete network structures into continuous domains. However, dynamic networks that e…
Operational scheduling of oil products pipeline with intermediate event occurrences
Seyyed Hamed Moghimi, Jafar Habibi, Hamid Jahad +1
Oil products are the main source of energy in the world today. Distribution of these products is one of the main issues in the industry. The main tools for this work are pipelines,…
A Novel Experts Advice Aggregation Framework Using Deep Reinforcement Learning for Portfolio Management
MohammadAmin Fazli, Mahdi Lashkari, Hamed Taherkhani +1
Solving portfolio management problems using deep reinforcement learning has been getting much attention in finance for a few years. We have proposed a new method using experts sign…
FNR: A Similarity and Transformer-Based Approach to Detect Multi-Modal Fake News in Social Media
Faeze Ghorbanpour, Maryam Ramezani, Mohammad A. Fazli +1
The availability and interactive nature of social media have made them the primary source of news around the globe. The popularity of social media tempts criminals to pursue their…
RPS: Portfolio Asset Selection using Graph based Representation Learning
MohammadAmin Fazli, Parsa Alian, Ali Owfi +1
Portfolio optimization is one of the essential fields of focus in finance. There has been an increasing demand for novel computational methods in this area to compute portfolios wi…
Under the Skin of Foundation NFT Auctions
MohammadAmin Fazli, Ali Owfi, Mohammad Reza Taesiri
Non Fungible Tokens (NFTs) have gained a solid foothold within the crypto community, and substantial amounts of money have been allocated to their trades. In this paper, we studied…
Building Stable Off-chain Payment Networks
MohammadAmin Fazli, Seyed Moeen Nehzati, MohammadAmin Salarkia
Payment channel is a protocol which allows cryptocurrency users to route multiple transactions through network without committing them to the main blockchain network (mainnet). Thi…
Predicting Subjective Features of Questions of QA Websites using BERT
Issa Annamoradnejad, Mohammadamin Fazli, Jafar Habibi
Community Question-Answering websites, such as StackOverflow and Quora, expect users to follow specific guidelines in order to maintain content quality. These systems mainly rely o…
Governance of Social Welfare in Networked Markets
MohammadAmin Fazli, Alireza Amanihamedani
This paper aims to investigate how a central authority (e.g. a government) can increase social welfare in a network of markets and firms. In these networks, modeled using a biparti…
Hybrid-Learning approach toward situation recognition and handling
Hossein Rajaby Faghihi, Mohammad Amin Fazli, Jafar Habibi
The success of smart environments largely depends on their smartness of understanding the environments' ongoing situations. Accordingly, this task is an essence to smart environmen…
Reactive Liquid: Optimized Liquid Architecture for Elastic and Resilient Distributed Data Processing
Seyed Esmaeil Mirvakili, MohammadAmin Fazli, Jafar Habibi
Today's most prominent IT companies are built on the extraction of insight from data, and data processing has become crucial in data-intensive businesses. Nevertheless, the size of…
Team Selection For Prediction Tasks
MohammadAmin Fazli, Azin Ghazimatin, Jafar Habibi +1
Given a random variable and a set of experts , we describe a method for finding a subset of experts whose aggregated opinion best predicts the…
On a Bounded Budget Network Creation Game
Shayan Ehsani, Saber Shokat Fadaee, MohammadAmin Fazli +4
We consider a network creation game in which each player (vertex) has a fixed budget to establish links to other players. In our model, each link has unit price and each agent trie…
On the Non-Progressive Spread of Influence through Social Networks
MohammadAmin Fazli, Mohammad Ghodsi, Jafar Habibi +3
The spread of influence in social networks is studied in two main categories: the progressive model and the non-progressive model (see e.g. the seminal work of Kempe, Kleinberg, an…
Maximizing Non-monotone Submodular Set Functions Subject to Different Constraints: Combined Algorithms
Salman Fadaei, MohammadAmin Fazli, MohammadAli Safari
We study the problem of maximizing constrained non-monotone submodular functions and provide approximation algorithms that improve existing algorithms in terms of either the approx…