| Attributed Graph Models: Modeling network structure with correlated attributes JJ Pfeiffer III, S Moreno, T La Fond, J Neville, B Gallagher | 162* | |
| Fast Generation of Large Scale Social Networks While Incorporating Transitive Closures JJ Pfeiffer III, T La Fond, S Moreno, J Neville Proceedings of the Fourth ASE/IEEE International Conference on Social Computing, 2012 | 63* | 2012 |
| Methods to determine node centrality and clustering in graphs with uncertain structure JJ Pfeiffer III, J Neville Fifth International AAAI Conference on Weblogs and Social Media, 2011 | 61* | 2011 |
| Using bayesian filtering to localize flexible materials during manipulation R Platt, F Permenter, J Pfeiffer IEEE Transactions on Robotics 27 (3), 586-598, 2011 | 47 | 2011 |
| Overcoming relational learning biases to accurately predict preferences in large scale networks JJ Pfeiffer III, J Neville, PN Bennett Proceedings of the 24th International Conference on World Wide Web, 853-863, 2015 | 33 | 2015 |
| Causal transfer random forest: Combining logged data and randomized experiments for robust prediction S Zeng, MA Bayir, JJ Pfeiffer III, D Charles, E Kiciman Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 27 | 2021 |
| Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference JJ Pfeiffer III, J Neville, PN Bennett | 23 | 2014 |
| A general framework for reconciling multiple weak segmentations of an image S Ghosh, JJ Pfeiffer, J Mulligan 2009 Workshop on Applications of Computer Vision (WACV), 1-8, 2009 | 23 | 2009 |
| Active sampling of networks JJ Pfeiffer, J Neville, P Bennett Proceedings of the ICML 2012 Workshop on Mining and Learning with Graphs, 2012 | 22 | 2012 |
| Incorporating assortativity and degree dependence into scalable network models S Mussmann, J Moore, J Pfeiffer, J Neville Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 18 | 2015 |
| A scalable method for exact sampling from kronecker family models S Moreno, JJ Pfeiffer, J Neville, S Kirshner 2014 IEEE International Conference on Data Mining, 440-449, 2014 | 15 | 2014 |
| Incentivized sharing in social networks JJ Pfeiffer III, E Zheleva VLDB Workshop on Online Social Systems (WOSS), 2012 | 15 | 2012 |
| Inferring hand-object configuration directly from tactile data R Platt, F Permenter, J Pfeiffer Electronically published proceeding of the Mobile Manipulation Workshop, ICRA, 2010 | 10 | 2010 |
| Masked LARk: Masked learning, aggregation and reporting workflow JJ Pfeiffer III, D Charles, D Gilton, YH Jung, M Parsana, E Anderson arXiv preprint arXiv:2110.14794, 2021 | 9 | 2021 |
| Scalable and exact sampling method for probabilistic generative graph models S Moreno, JJ Pfeiffer III, J Neville Data Mining and Knowledge Discovery 32 (6), 1561-1596, 2018 | 9 | 2018 |
| Assortativity in chung lu random graph models S Mussmann, J Moore, JJ Pfeiffer, J Neville III Proceedings of the 8th Workshop on Social Network Mining and Analysis, 1-8, 2014 | 8 | 2014 |
| Incentivizing sharing in social networks E Zheleva, JJ Pfeiffer III US Patent 10,482,487, 2019 | 7 | 2019 |
| Composite likelihood data augmentation for within-network statistical relational learning JJ Pfeiffer, J Neville, PN Bennett 2014 IEEE International Conference on Data Mining, 490-499, 2014 | 6 | 2014 |
| Method and system for controlling a dexterous robot execution sequence using state classification AM Sanders, RJ Platt, N Quillin, FN Permenter, J Pfeiffer US Patent 8,706,299, 2014 | 4 | 2014 |
| Adaptive Off-ramp Training and Inference for Early Exits in a Deep Neural Network SKPKM Naga, JJ Pfeiffer III, DL Gilton US Patent App. 17/348,299, 2022 | 2 | 2022 |
Jennifer NevilleMicrosoft Research, Purdue Universitymicrosoft.com의 이메일 확인됨