5 papers
CNN-TFT explained by SHAP with multi-head attention weights for time series forecasting
Stefano F. Stefenon, João P. Matos-Carvalho, Valderi R. Q. Leithardt +1
Convolutional neural networks (CNNs) and transformer architectures offer strengths for modeling temporal data: CNNs excel at capturing local patterns and translational invariances,…
CORTEX: Composite Overlay for Risk Tiering and Exposure in Operational AI Systems
Aoun E Muhammad, Kin Choong Yow, Jamel Baili +2
As the deployment of Artificial Intelligence (AI) systems in high-stakes sectors - like healthcare, finance, education, justice, and infrastructure has increased - the possibility…
L-XAIDS: A LIME-based eXplainable AI framework for Intrusion Detection Systems
Aoun E Muhammad, Kin-Choong Yow, Nebojsa Bacanin-Dzakula +1
Recent developments in Artificial Intelligence (AI) and their applications in critical industries such as healthcare, fin-tech and cybersecurity have led to a surge in research in…
Time series forecasting based on optimized LLM for fault prediction in distribution power grid insulators
João Pedro Matos-Carvalho, Stefano Frizzo Stefenon, Valderi Reis Quietinho Leithardt +1
Surface contamination on electrical grid insulators leads to an increase in leakage current until an electrical discharge occurs, which can result in a power system shutdown. To mi…
3D Multi-Object Tracking Employing MS-GLMB Filter for Autonomous Driving
Linh Van Ma, Muhammad Ishfaq Hussain, Kin-Choong Yow +1
The MS-GLMB filter offers a robust framework for tracking multiple objects through the use of multi-sensor data. Building on this, the MV-GLMB and MV-GLMB-AB filters enhance the MS…