Joseph J. Pfeiffer III
Joseph J. Pfeiffer III
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Attributed Graph Models: Modeling network structure with correlated attributes
JJ Pfeiffer III, S Moreno, T La Fond, J Neville, B Gallagher
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
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
Using bayesian filtering to localize flexible materials during manipulation
R Platt, F Permenter, J Pfeiffer
IEEE Transactions on Robotics 27 (3), 586-598, 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
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
Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference
JJ Pfeiffer III, J Neville, PN Bennett
Active sampling of networks
JJ Pfeiffer, J Neville, P Bennett
Proceedings of the ICML 2012 Workshop on Mining and Learning with Graphs, 2012
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
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
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
Incentivized sharing in social networks
JJ Pfeiffer III, E Zheleva
VLDB Workshop on Online Social Systems (WOSS), 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
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
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
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
Incentivizing sharing in social networks
E Zheleva, JJ Pfeiffer III
US Patent 10,482,487, 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
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
Modeling website topic cohesion at scale to improve webpage classification
D Eswaran, PN Bennett, JJ Pfeiffer III
Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015
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