Joseph J. Pfeiffer

发表

Methods to Determine Node Centrality and Clustering in Graphs with Uncertain Structure pdf

Jennifer Neville, Joseph J. Pfeiffer, Joseph J. Pfeiffer, 2011, ICWSM.

Attributed Graph Models: Towards the Sharing of Relational Network Data

Jennifer Neville, Brian Gallagher, Joseph J. Pfeiffer, 2014 .

Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference

Paul N. Bennett, Jennifer Neville, Joseph J. Pfeiffer, 2014, CIKM.

Incorporating Assortativity and Degree Dependence into Scalable Network Models

Jennifer Neville, Joseph J. Pfeiffer, John Moore, 2015, AAAI.

Incentivized Social Sharing: Characteristics and Optimization

Joseph J. Pfeiffer, Joseph J. Pfeiffer, Elena Zheleva, 2018, Influence and Behavior Analysis in Social Networks and Social Media.

Fast Generation of Large Scale Social Networks While Incorporating Transitive Closures

Jennifer Neville, Joseph J. Pfeiffer, Joseph J. Pfeiffer, 2012, 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing.

Overcoming uncertainty for within-network relational machine learning

Joseph J. Pfeiffer, Joseph J. Pfeiffer, 2015 .

Attributed graph models: modeling network structure with correlated attributes

Jennifer Neville, Brian Gallagher, Joseph J. Pfeiffer, 2014, WWW.

A Non-negative Matrix Factorization Framework for Combining Multiple Image Segmentations ; CU-CS-1050-08

Soumya Ghosh, Joseph J. Pfeiffer, Joseph J. Pfeiffer, 2008 .

New Techniques for Path Planning in Image Space ; CU-CS-1052-09

Jane Mulligan, Joseph J. Pfeiffer, Dan Knights, 2008 .

Fast Generation of Large Scale Social Networks with Clustering pdf

Jennifer Neville, Joseph J. Pfeiffer, Joseph J. Pfeiffer, 2012, ArXiv.

Ludwig,: Decoupling Program Re resentations From Processing Mode P s

Joseph J. Pfeiffer, 1995 .

Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning

Paul N. Bennett, Jennifer Neville, Joseph J. Pfeiffer, 2014, 2014 IEEE International Conference on Data Mining.

Overcoming Relational Learning Biases to Accurately Predict Preferences in Large Scale Networks

Paul N. Bennett, Jennifer Neville, Joseph J. Pfeiffer, 2015, WWW.

A general framework for reconciling multiple weak segmentations of an image

Soumya Ghosh, Jane Mulligan, Joseph J. Pfeiffer, 2009, 2009 Workshop on Applications of Computer Vision (WACV).

Unbiased Estimation of the Value of an Optimized Policy pdf

Elon Portugaly, Joseph J. Pfeiffer, Joseph J. Pfeiffer, 2018, ArXiv.

Assortativity in Chung Lu Random Graph Models

Jennifer Neville, Joseph J. Pfeiffer, John Moore, 2014, SNAKDD'14.

Optimizing the Effectiveness of Incentivized Social Sharing

Joseph J. Pfeiffer, Elena Zheleva, 2017, ASONAM.

A Scalable Method for Exact Sampling from Kronecker Family Models

Jennifer Neville, Joseph J. Pfeiffer, Sergey Kirshner, 2014, 2014 IEEE International Conference on Data Mining.

Scalable and exact sampling method for probabilistic generative graph models

Jennifer Neville, Joseph J. Pfeiffer, Joseph J. Pfeiffer, 2018, Data Mining and Knowledge Discovery.

Modeling Website Topic Cohesion at Scale to Improve Webpage Classification

Paul N. Bennett, Joseph J. Pfeiffer, Dhivya Eswaran, 2015, SIGIR.