The University of Oklahoma
Social media data provides propitious opportunities for public health
10/30/2017 ∙ by Nina Cesare, et al. ∙
Traditional data mining algorithms are exceptional at seeing patterns in...
12/03/2017 ∙ by Austin Graham, et al. ∙
With the growth and accessibility of mobile devices and internet, the ea...
06/22/2018 ∙ by Jasmine DeHart, et al. ∙
Rapid urbanization burdens city infrastructure and creates the need for ...
05/14/2019 ∙ by Oluwashina Madamori, et al. ∙
Data scientists are constantly creating methods to efficiently and accur...
06/29/2019 ∙ by Elena Montes, et al. ∙
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IRIS: Implicit Reinforcement without Interaction at Scale for Learning
Control from Offline Robot Manipulation Data
11/13/2019 ∙ by Ajay Mandlekar ∙
Basic Principles of Clustering Methods
11/18/2019 ∙ by Alexander Jung ∙
Motion Reasoning for Goal-Based Imitation Learning
11/13/2019 ∙ by De-An Huang ∙
Finding Social Media Trolls: Dynamic Keyword Selection Methods for
Rapidly-Evolving Online Debates
11/13/2019 ∙ by Anqi Liu ∙
Deep learning for cardiac image segmentation: A review
11/09/2019 ∙ by Chen Chen ∙
Efficient Saliency Maps for Explainable AI
11/26/2019 ∙ by T. Nathan Mundhenk ∙
The Deep Learning Revolution and Its Implications for Computer
Architecture and Chip Design
11/13/2019 ∙ by Jeffrey Dean ∙
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