13 citations · 53 across the 8 of their papers we have counts for
8 papers
CausalLP: Learning causal relations with weighted knowledge graph link prediction
Utkarshani Jaimini, Cory Henson, Amit P. Sheth
Causal networks are useful in a wide variety of applications, from medical diagnosis to root-cause analysis in manufacturing. In practice, however, causal networks are often incomp…
Relation-based Motion Prediction using Traffic Scene Graphs
Maximilian Zipfl, Felix Hertlein, Achim Rettinger +5
Representing relevant information of a traffic scene and understanding its environment is crucial for the success of autonomous driving. Modeling the surrounding of an autonomous c…
A Survey on Knowledge Graph-based Methods for Automated Driving
Juergen Luettin, Sebastian Monka, Cory Henson +1
Automated driving is one of the most active research areas in computer science. Deep learning methods have made remarkable breakthroughs in machine learning in general and in autom…
Knowledge-based Entity Prediction for Improved Machine Perception in Autonomous Systems
Ruwan Wickramarachchi, Cory Henson, Amit Sheth
Knowledge-based entity prediction (KEP) is a novel task that aims to improve machine perception in autonomous systems. KEP leverages relational knowledge from heterogeneous sources…
Accelerating Road Sign Ground Truth Construction with Knowledge Graph and Machine Learning
Ji Eun Kim, Cory Henson, Kevin Huang +2
Having a comprehensive, high-quality dataset of road sign annotation is critical to the success of AI-based Road Sign Recognition (RSR) systems. In practice, annotators often face…
Neuro-symbolic Architectures for Context Understanding
Alessandro Oltramari, Jonathan Francis, Cory Henson +2
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 prerequisit…
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice
Ruwan Wickramarachchi, Cory Henson, Amit Sheth
The autonomous driving (AD) industry is exploring the use of knowledge graphs (KGs) to manage the vast amount of heterogeneous data generated from vehicular sensors. The various ty…
Semantic, Cognitive, and Perceptual Computing: Advances toward Computing for Human Experience
Amit Sheth, Pramod Anantharam, Cory Henson
The World Wide Web continues to evolve and serve as the infrastructure for carrying massive amounts of multimodal and multisensory observations. These observations capture various…