4 papers
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…
Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning
Mahdi Salahshour, Amirahmad Shafiee, Mojtaba Tefagh
The Lightning Network (LN) has emerged as a second-layer solution to Bitcoin's scalability challenges. The rise of Payment Channel Networks (PCNs) and their specific mechanisms inc…
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…