Jennifer Neville

2008
19	EE	Sarvjeet Singh, Chris Mayfield, Rahul Shah, Sunil Prabhakar, Susanne E. Hambrusch, Jennifer Neville, Reynold Cheng: Database Support for Probabilistic Attributes and Tuples. ICDE 2008: 1053-1061
18	EE	Rongjing Xiang, Jennifer Neville: Pseudolikelihood EM for Within-network Relational Learning. ICDM 2008: 1103-1108
17	EE	Umang Sharan, Jennifer Neville: Temporal-Relational Classifiers for Prediction in Evolving Domains. ICDM 2008: 540-549
16	EE	Pelin Angin, Jennifer Neville: A Shrinkage Approach for Modeling Non-stationary Relational Autocorrelation. ICDM 2008: 707-712
15	EE	James A. Hendler, Philipp Cimiano, Dmitri A. Dolgov, Anat Levin, Peter Mika, Brian Milch, Louis-Philippe Morency, Boris Motik, Jennifer Neville, Erik B. Sudderth, Luis von Ahn: AI's 10 to Watch. IEEE Intelligent Systems 23(3): 9-19 (2008)
14	EE	Jennifer Neville, David Jensen: A bias/variance decomposition for models using collective inference. Machine Learning 73(1): 87-106 (2008)
2007
13	EE	Jennifer Neville, David Jensen: Bias/Variance Analysis for Relational Domains. ILP 2007: 27-28
2005
12		Jennifer Neville: Structure Learning for Statistical Relational Models. AAAI 2005: 1656-1657
11	EE	Jennifer Neville, David Jensen: Leveraging Relational Autocorrelation with Latent Group Models. ICDM 2005: 322-329
10	EE	Jennifer Neville, Özgür Simsek, David Jensen, John Komoroske, Kelly Palmer, Henry G. Goldberg: Using relational knowledge discovery to prevent securities fraud. KDD 2005: 449-458
9	EE	Jennifer Neville, David Jensen: Leveraging relational autocorrelation with latent group models. Probabilistic, Logical and Relational Learning 2005
2004
8	EE	Jennifer Neville, David Jensen: Dependency Networks for Relational Data. ICDM 2004: 170-177
7	EE	David Jensen, Jennifer Neville, Brian Gallagher: Why collective inference improves relational classification. KDD 2004: 593-598
2003
6	EE	Jennifer Neville, David Jensen, Brian Gallagher: Simple Estimators for Relational Bayesian Classifiers. ICDM 2003: 609-612
5		David Jensen, Jennifer Neville, Michael Hay: Avoiding Bias when Aggregating Relational Data with Degree Disparity. ICML 2003: 274-281
4	EE	Jennifer Neville, David Jensen, Lisa Friedland, Michael Hay: Learning relational probability trees. KDD 2003: 625-630
3	EE	Amy McGovern, Lisa Friedland, Michael Hay, Brian Gallagher, Andrew Fast, Jennifer Neville, David Jensen: Exploiting relational structure to understand publication patterns in high-energy physics. SIGKDD Explorations 5(2): 165-172 (2003)
2002
2		David Jensen, Jennifer Neville: Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning. ICML 2002: 259-266
1	EE	David Jensen, Jennifer Neville: Autocorrelation and Linkage Cause Bias in Evaluation of Relational Learners. ILP 2002: 101-116

Coauthor Index

1	Luis von Ahn	[15]
2	Pelin Angin	[16]
3	Reynold Cheng	[19]
4	Philipp Cimiano	[15]
5	Dmitri A. Dolgov	[15]
6	Andrew Fast	[3]
7	Lisa Friedland	[3] [4]
8	Brian Gallagher	[3] [6] [7]
9	Henry G. Goldberg	[10]
10	Susanne E. Hambrusch	[19]
11	Michael Hay	[3] [4] [5]
12	James A. Hendler (Jim Hendler)	[15]
13	David Jensen	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [13] [14]
14	John Komoroske	[10]
15	Anat Levin	[15]
16	Chris Mayfield	[19]
17	Amy McGovern	[3]
18	Peter Mika	[15]
19	Brian Milch	[15]
20	Louis-Philippe Morency	[15]
21	Boris Motik	[15]
22	Kelly Palmer	[10]
23	Sunil Prabhakar	[19]
24	Rahul Shah	[19]
25	Umang Sharan	[17]
26	Özgür Simsek	[10]
27	Sarvjeet Singh	[19]
28	Erik B. Sudderth	[15]
29	Rongjing Xiang	[18]

Colors in the list of coauthors