1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.SE2024★ 1 cited
Search-based Automated Program Repair of CPS Controllers Modeled in Simulink-Stateflow
Aitor Arrieta, Pablo Valle, Shaukat Ali
Stateflow models are widely used in the industry to model the high-level control logic of Cyber-Physical Systems (CPSs) in Simulink--the defacto CPS simulator. Many approaches exis…
cs.SE2024★ 1 cited
Reality Bites: Assessing the Realism of Driving Scenarios with Large Language Models
Jiahui Wu, Chengjie Lu, Aitor Arrieta +2
Large Language Models (LLMs) are demonstrating outstanding potential for tasks such as text generation, summarization, and classification. Given that such models are trained on a h…
cs.SE2024
Application of Quantum Extreme Learning Machines for QoS Prediction of Elevators' Software in an Industrial Context
Xinyi Wang, Shaukat Ali, Aitor Arrieta +2
Quantum Extreme Learning Machine (QELM) is an emerging technique that utilizes quantum dynamics and an easy-training strategy to solve problems such as classification and regressio…