John Moore

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Jennifer NevilleMicrosoft Research, Purdue UniversityVerified email at microsoft.com
Joseph J. Pfeiffer IIIMicrosoftVerified email at microsoft.com
Stephen MussmannIncoming Assistant Professor, Georgia TechVerified email at gatech.edu
Hogun ParkAssistant professor, College of Computing, Sungkyunkwan University (SKKU)Verified email at skku.edu

John Moore

Graduate Student, Purdue University

Verified email at purdue.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deep Collective Inference J Moore, J Neville Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence …, 2017	44	2017
Incorporating Assortativity and Degree Dependence into Scalable Network Models. S Mussmann, J Moore, JJ Pfeiffer III, J Neville AAAI, 238-246, 2015	18	2015
Assortativity in Chung Lu Random Graph Models S Mussmann, J Moore, J Pfeiffer, J Neville KDD, 2014	8	2014
Modeling and Simultaneously Removing Bias via Adversarial Neural Networks J Moore, J Pfeiffer, K Wei, R Iyer, D Charles, R Gilad-Bachrach, L Boyles, ... arXiv preprint arXiv:1804.06909, 2018	5	2018
Deep Dynamic Relational Classifiers: Exploiting Dynamic Neighborhoods in Complex Networks H Park, J Moore, J Neville MAISoN- WSDM Workshop ’17 Cambridge, UK, 0	5*
Using Recurrent Neural Networks in Trajectory Prediction J Moore, B Ribeiro	1	2016
Deep Embedded Joins J Moore, E Hanau, M Sadoghi		2016

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