Brett David Roads
Brett David Roads
Postdoctoral Research Associate, University College London
Verified email at ucl.ac.uk - Homepage
Title
Cited by
Cited by
Year
Designing engaging games using bayesian optimization
MM Khajah, BD Roads, RV Lindsey, YE Liu, MC Mozer
Proceedings of the 2016 chi conference on human factors in computing systems …, 2016
432016
Learning to generate images with perceptual similarity metrics
J Snell, K Ridgeway, R Liao, BD Roads, MC Mozer, RS Zemel
2017 IEEE International Conference on Image Processing (ICIP), 4277-4281, 2017
392017
Using highlighting to train attentional expertise
BD Roads, MC Mozer, TA Busey
PloS one 11 (1), e0146266, 2016
142016
Improving Human‐Machine Cooperative Classification Via Cognitive Theories of Similarity
BD Roads, MC Mozer
Cognitive science 41 (5), 1394-1411, 2017
102017
The easy-to-hard training advantage with real-world medical images
BD Roads, B Xu, JK Robinson, JW Tanaka
Cognitive research: principles and implications 3 (1), 1-13, 2018
72018
Learning as the unsupervised alignment of conceptual systems
BD Roads, BC Love
Nature Machine Intelligence 2, 76-82, 2020
52020
Obtaining psychological embeddings through joint kernel and metric learning
BD Roads, MC Mozer
Behavior Research Methods, 2019
42019
Improving Categorization Training with Structure-Sensitive Scheduling
B Roads, M Mozer
Journal of Vision 16 (12), 402-402, 2016
12016
The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks
X Luo, BD Roads, BC Love
arXiv preprint arXiv:2002.02342, 2020
2020
The perceptual boost of visual attention is task-dependent in naturalistic settings
F Bickford Smith, X Luo, BD Roads, BC Love
arXiv, arXiv: 2003.00882, 2020
2020
Towards using human-surrogate models to optimize training sequences during visual category learning
B Roads, M Mozer
Journal of Vision 18 (10), 404-404, 2018
2018
The Easy-to-Hard Advantage with Real-World Visual Categories
B Roads, B Xu, J Robinson, J Tanaka
Journal of Vision 17 (10), 1234-1234, 2017
2017
Accelerating Human Visual Concept Learning and Boosting Performance via Computational Models of Perception and Cognition.
BD Roads
ProQuest LLC, 2017
2017
Visual Classification Expertise without Training.
B Roads, M Mozer
Journal of vision 15 (12), 1172-1172, 2015
2015
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Articles 1–14