no code implementations • 30 Sep 2022 • Juergen Luettin, Sebastian Monka, Cory Henson, Lavdim Halilaj
However, recent progress in knowledge graph embeddings and graph neural networks allows to applying machine learning to graph-structured data.
no code implementations • 30 Mar 2022 • Ruwan Wickramarachchi, Cory Henson, Amit Sheth
Knowledge-based entity prediction (KEP) is a novel task that aims to improve machine perception in autonomous systems.
no code implementations • 4 Dec 2020 • Ji Eun Kim, Cory Henson, Kevin Huang, Tuan A. Tran, Wan-Yi Lin
We show that our knowledge graph approach can reduce sign search space by 98. 9%.
no code implementations • 9 Mar 2020 • Alessandro Oltramari, Jonathan Francis, Cory Henson, Kaixin Ma, Ruwan Wickramarachchi
Computational context understanding refers to an agent's ability to fuse disparate sources of information for decision-making and is, therefore, generally regarded as a prerequisite for sophisticated machine reasoning capabilities, such as in artificial intelligence (AI).
no code implementations • 29 Feb 2020 • Ruwan Wickramarachchi, Cory Henson, Amit Sheth
With the expectation that neuro-symbolic fusion through KGEs will improve scene understanding, this research explores the generation and evaluation of KGEs for autonomous driving data.
no code implementations • 20 Oct 2015 • Amit Sheth, Pramod Anantharam, Cory Henson
Toward this goal, we discuss computing paradigms of semantic computing, cognitive computing, and an emerging aspect of computing, which we call perceptual computing.