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2010 – 2019
- 2017
[j1]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:
The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE Robotics Autom. Mag. 24(3): 146-156 (2017)- [c12]Jay Young, Valerio Basile, Markus Suchi, Lars Kunze, Nick Hawes, Markus Vincze, Barbara Caputo:
Making Sense of Indoor Spaces Using Semantic Web Mining and Situated Robot Perception. AnSWeR@ESWC 2017: 31-40 - [c11]Jay Young, Valerio Basile, Markus Suchi, Lars Kunze, Nick Hawes, Markus Vincze, Barbara Caputo:
Making Sense of Indoor Spaces Using Semantic Web Mining and Situated Robot Perception. ESWC (Satellite Events) 2017: 299-313 - [c10]Jay Young, Lars Kunze, Valerio Basile, Elena Cabrio, Nick Hawes, Barbara Caputo:
Semantic web-mining and deep vision for lifelong object discovery. ICRA 2017: 2774-2779 - [c9]Nizar Massouh, Francesca Babiloni, Tatiana Tommasi, Jay Young, Nick Hawes, Barbara Caputo:
Learning deep visual object models from noisy web data: How to make it work. IROS 2017: 5564-5571 - [i2]Nizar Massouh, Francesca Babiloni, Tatiana Tommasi, Jay Young, Nick Hawes, Barbara Caputo:
Learning Deep Visual Object Models From Noisy Web Data: How to Make it Work. CoRR abs/1702.08513 (2017) - 2016
- [b1]Jay Young:
Learning by observation using Qualitative Spatial Relations. University of Birmingham, UK, 2016 - [c8]Jay Young, Valerio Basile, Lars Kunze, Elena Cabrio, Nick Hawes:
Towards Lifelong Object Learning by Integrating Situated Robot Perception and Semantic Web Mining. ECAI 2016: 1458-1466 - [i1]Nick Hawes, Chris 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, Muhannad Al-Omari, Eris Chinellato, Paul Duckworth, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn, Christian Dondrup, Jaime Pulido Fentanes, Tomás Krajník, João Machado Santos, Tom Duckett, Marc Hanheide:
The STRANDS Project: Long-Term Autonomy in Everyday Environments. CoRR abs/1604.04384 (2016) - 2015
- [c7]Jay Young, Nick Hawes:
Learning By Observation Using Qualitative Spatial Relations. AAMAS 2015: 745-751 - 2014
- [c6]Jay Young, Nick Hawes:
Effects of Training Data Variation and Temporal Representation in a QSR-Based Action Prediction System. AAAI Spring Symposia 2014 - [c5]Jay Young, Nick Hawes:
Learning Micro-Management Skills in RTS Games by Imitating Experts. AIIDE 2014 - 2013
- [c4]Jay Young, Nick Hawes:
Predicting Situated Behaviour Using Sequences of Abstract Spatial Relations. AAAI Fall Symposia 2013 - 2012
- [c3]Jay Young, Nick Hawes:
Evolutionary Learning of Goal Priorities in a Real-Time Strategy Game. AIIDE 2012 - [c2]Jay Young, Fran Smith, Christopher Atkinson, Ken Poyner, Tom Chothia:
SCAIL: An integrated Starcraft AI system. CIG 2012: 438-445
2000 – 2009
- 2006
- [c1]Patrick Lysaght, Brandon Blodget, Jeff Mason, Jay Young, Brendan Bridgford:
Invited Paper: Enhanced Architectures, Design Methodologies and CAD Tools for Dynamic Reconfiguration of Xilinx FPGAs. FPL 2006: 1-6
Coauthor Index
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