Deep Collective Inference J Moore, J Neville Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence …, 2017 | 46 | 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 |