5 papers
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…
Emo3D: Metric and Benchmarking Dataset for 3D Facial Expression Generation from Emotion Description
Mahshid Dehghani, Amirahmad Shafiee, Ali Shafiei +6
Existing 3D facial emotion modeling have been constrained by limited emotion classes and insufficient datasets. This paper introduces "Emo3D", an extensive "Text-Image-Expression d…