David Cox

Rowland Institute, Harvard, Cambridge, MA, United States 
Object recognition
"David Cox"
Mean distance: 14.29 (cluster 29)
Cross-listing: Computational Biology Tree

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Fong RC, Scheirer WJ, Cox DD. (2018) Using human brain activity to guide machine learning. Scientific Reports. 8: 5397
Zoccolan D, Cox DD, Benucci A. (2015) Editorial: What can simple brains teach us about how vision works. Frontiers in Neural Circuits. 9: 51
Papa J, Rosa G, Costa K, et al. (2015) On the model selection of Bernoulli restricted Boltzmann machines through harmony search Gecco 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference. 1449-1450
Bergstra J, Komer B, Eliasmith C, et al. (2015) Hyperopt: A Python library for model selection and hyperparameter optimization Computational Science and Discovery. 8
Bergstra J, Pinto N, Cox DD. (2015) SkData: Data sets and algorithm evaluation protocols in Python Computational Science and Discovery. 8
Papa JP, Rosa GH, Marana AN, et al. (2015) Model selection for Discriminative Restricted Boltzmann Machines through meta-heuristic techniques Journal of Computational Science. 9: 14-18
Papa JP, Scheirer W, Cox DD. (2015) Fine-tuning Deep Belief Networks using Harmony Search Applied Soft Computing Journal
Scheirer WJ, Anthony SE, Nakayama K, et al. (2014) Perceptual Annotation: Measuring Human Vision to Improve Computer Vision. Ieee Transactions On Pattern Analysis and Machine Intelligence. 36: 1679-86
Cox DD, Dean T. (2014) Neural networks and neuroscience-inspired computer vision. Current Biology : Cb. 24: R921-9
Cox DD. (2014) Do we understand high-level vision? Current Opinion in Neurobiology. 25: 187-93
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