Jennifer Neville

2008
15	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
14	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)
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	[14]
2	Reynold Cheng	[15]
3	Philipp Cimiano	[14]
4	Dmitri A. Dolgov	[14]
5	Andrew Fast	[3]
6	Lisa Friedland	[3] [4]
7	Brian Gallagher	[3] [6] [7]
8	Henry G. Goldberg	[10]
9	Susanne E. Hambrusch	[15]
10	Michael Hay	[3] [4] [5]
11	James A. Hendler	[14]
12	David Jensen	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [13]
13	John Komoroske	[10]
14	Anat Levin	[14]
15	Chris Mayfield	[15]
16	Amy McGovern	[3]
17	Peter Mika	[14]
18	Brian Milch	[14]
19	Louis-Philippe Morency	[14]
20	Boris Motik	[14]
21	Kelly Palmer	[10]
22	Sunil Prabhakar	[15]
23	Rahul Shah	[15]
24	Özgür Simsek	[10]
25	Sarvjeet Singh	[15]
26	Erik B. Sudderth	[14]

Colors in the list of coauthors