Jay Young

According to our database, Jay Young authored at least 13 papers between 2006 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

The STRANDS Project: Long-Term Autonomy in Everyday Environments.

Nick Hawes, Christopher Burbridge, Ferdian Jovan, Lars Kunze, Bruno Lacerda, Lenka Mudrová, Jay Young, Jeremy L. Wyatt, Denise Hebesberger, Tobias Körtner, Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt, Lucas Beyer, Alexander Hermans, Bastian Leibe, Aitor Aldoma, Thomas Faulhammer, Michael Zillich, Markus Vincze, Eris Chinellato, Muhannad Al-Omari, Paul Duckworth, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn, Christian Dondrup, Jaime Pulido Fentanes, Tomás Krajník, João Machado Santos, Tom Duckett, Marc Hanheide

IEEE Robotics Autom. Mag., 2017

Learning deep visual object models from noisy web data: How to make it work.

Nizar Massouh, Francesca Babiloni, Tatiana Tommasi, Jay Young, Nick Hawes, Barbara Caputo

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Semantic web-mining and deep vision for lifelong object discovery.

Jay Young, Lars Kunze, Valerio Basile, Elena Cabrio, Nick Hawes, Barbara Caputo

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Making Sense of Indoor Spaces Using Semantic Web Mining and Situated Robot Perception.

Jay Young, Valerio Basile, Markus Suchi, Lars Kunze, Nick Hawes, Markus Vincze, Barbara Caputo

Proceedings of the Semantic Web: ESWC 2017 Satellite Events - ESWC 2017 Satellite Events, Portorož, Slovenia, May 28, 2017

2016

Learning by observation using Qualitative Spatial Relations.

Jay Young

PhD thesis, 2016

Towards Lifelong Object Learning by Integrating Situated Robot Perception and Semantic Web Mining.

Jay Young, Valerio Basile, Lars Kunze, Elena Cabrio, Nick Hawes

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015

Learning By Observation Using Qualitative Spatial Relations.

Jay Young, Nick Hawes

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014

Learning Micro-Management Skills in RTS Games by Imitating Experts.

Jay Young, Nick Hawes

Proceedings of the Tenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2014

Effects of Training Data Variation and Temporal Representation in a QSR-Based Action Prediction System.

Jay Young, Nick Hawes

Proceedings of the 2014 AAAI Spring Symposia, 2014

2013

Predicting Situated Behaviour Using Sequences of Abstract Spatial Relations.

Jay Young, Nick Hawes

Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013

2012

SCAIL: An integrated Starcraft AI system.

Jay Young, Fran Smith, Christopher Atkinson, Ken Poyner, Tom Chothia

Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games, 2012

Evolutionary Learning of Goal Priorities in a Real-Time Strategy Game.

Jay Young, Nick Hawes

Proceedings of the Eighth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2012

2006

Invited Paper: Enhanced Architectures, Design Methodologies and CAD Tools for Dynamic Reconfiguration of Xilinx FPGAs.

Patrick Lysaght, Brandon Blodget, Jeff Mason, Jay Young, Brendan Bridgford

Proceedings of the 2006 International Conference on Field Programmable Logic and Applications (FPL), 2006