Jennifer Neville

	2012
48		Ryan A. Rossi, Jennifer Neville: Time-Evolving Relational Classification and Ensemble Methods. PAKDD (1) 2012: 1-13
47		Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson: Role-dynamics: fast mining of large dynamic networks. WWW (Companion Volume) 2012: 997-1006
46		Joseph J. Pfeiffer III, Timothy La Fond, Sebastián Moreno, Jennifer Neville: Fast Generation of Large Scale Social Networks with Clustering CoRR abs/1202.4805: (2012)
45		Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson: Role-Dynamics: Fast Mining of Large Dynamic Networks CoRR abs/1203.2200: (2012)
44		Ryan A. Rossi, Luke McDowell, David W. Aha, Jennifer Neville: Transforming Graph Representations for Statistical Relational Learning CoRR abs/1204.0033: (2012)
43		Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson: Dynamic Behavioral Mixed-Membership Model for Large Evolving Networks CoRR abs/1205.2056: (2012)
42		Jennifer Neville, Brian Gallagher, Tina Eliassi-Rad, Tao Wang: Correcting evaluation bias of relational classifiers with network cross validation. Knowl. Inf. Syst. 30(1): 31-55 (2012)
	2011
41		Hoda Eldardiry, Jennifer Neville: Across-Model Collective Ensemble Classification. AAAI 2011
40		Tao Wang, Jennifer Neville, Brian Gallagher, Tina Eliassi-Rad: Correcting Bias in Statistical Tests for Network Classifier Evaluation. ECML/PKDD (3) 2011: 506-521
39		Rongjing Xiang, Jennifer Neville: Understanding Propagation Error and Its Effect on Collective Classification. ICDM 2011: 834-843
38		Ankit Kuwadekar, Jennifer Neville: Relational Active Learning for Joint Collective Classification Models. ICML 2011: 385-392
37		Joseph J. Pfeiffer III, Jennifer Neville: Methods to Determine Node Centrality and Clustering in Graphs with Uncertain Structure. ICWSM 2011
36		Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Neville, Mourad Ouzzani, Ihab F. Ilyas: Guided Data Repair CoRR abs/1103.3103: (2011)
35		Joseph J. Pfeiffer III, Jennifer Neville: Methods to Determine Node Centrality and Clustering in Graphs with Uncertain Structure CoRR abs/1104.0319: (2011)
34		Ryan A. Rossi, Jennifer Neville: Representations and Ensemble Methods for Dynamic Relational Classification CoRR abs/1111.5312: (2011)
33		Douglas Baumann, Susanne E. Hambrusch, Jennifer Neville: Gender demographics trends and changes in U.S. CS departments. Commun. ACM 54(11): 38-42 (2011)
32		Ravish Khosla, Sonia Fahmy, Y. Charlie Hu, Jennifer Neville: Prediction models for long-term Internet prefix availability. Computer Networks 55(3): 873-889 (2011)
31		Rongjing Xiang, Jennifer Neville: Relational Learning with One Network: An Asymptotic Analysis. Journal of Machine Learning Research - Proceedings Track 15: 779-788 (2011)
30		S. V. N. Vishwanathan, Samuel Kaski, Jennifer Neville, Stefan Wrobel: Introduction to the special issue on mining and learning with graphs. Machine Learning 82(2): 91-93 (2011)
29		Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Neville, Mourad Ouzzani, Ihab F. Ilyas: Guided data repair. PVLDB 4(5): 279-289 (2011)
	2010
28		Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Neville: Ranking for data repairs. ICDE Workshops 2010: 23-28
27		Ravish Khosla, Sonia Fahmy, Y. Charlie Hu, Jennifer Neville: Predicting Prefix Availability in the Internet. INFOCOM 2010: 216-220
26		Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Neville, Mourad Ouzzani: GDR: a system for guided data repair. SIGMOD Conference 2010: 1223-1226
25		Chris Mayfield, Jennifer Neville, Sunil Prabhakar: ERACER: a database approach for statistical inference and data cleaning. SIGMOD Conference 2010: 75-86
24		Timothy La Fond, Jennifer Neville: Randomization tests for distinguishing social influence and homophily effects. WWW 2010: 601-610
23		Rongjing Xiang, Jennifer Neville, Monica Rogati: Modeling relationship strength in online social networks. WWW 2010: 981-990
	2009
22		Jennifer Neville, Brian Gallagher, Tina Eliassi-Rad: Evaluating Statistical Tests for Within-Network Classifiers of Relational Data. ICDM 2009: 397-406
21		Indika Kahanda, Jennifer Neville: Using Transactional Information to Predict Link Strength in Online Social Networks. ICWSM 2009
	2008
20		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
19		Rongjing Xiang, Jennifer Neville: Pseudolikelihood EM for Within-network Relational Learning. ICDM 2008: 1103-1108
18		Umang Sharan, Jennifer Neville: Temporal-Relational Classifiers for Prediction in Evolving Domains. ICDM 2008: 540-549
17		Pelin Angin, Jennifer Neville: A Shrinkage Approach for Modeling Non-stationary Relational Autocorrelation. ICDM 2008: 707-712
16		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)
15		Jennifer Neville, David Jensen: A bias/variance decomposition for models using collective inference. Machine Learning 73(1): 87-106 (2008)
	2007
14		Jennifer Neville, David Jensen: Bias/Variance Analysis for Relational Domains. ILP 2007: 27-28
13		Jennifer Neville, David Jensen: Relational Dependency Networks. Journal of Machine Learning Research 8: 653-692 (2007)
	2005
12		Jennifer Neville: Structure Learning for Statistical Relational Models. AAAI 2005: 1656-1657
11		Jennifer Neville, David Jensen: Leveraging Relational Autocorrelation with Latent Group Models. ICDM 2005: 322-329
10		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		Jennifer Neville, David Jensen: Leveraging relational autocorrelation with latent group models. Probabilistic, Logical and Relational Learning 2005
	2004
8		Jennifer Neville, David Jensen: Dependency Networks for Relational Data. ICDM 2004: 170-177
7		David Jensen, Jennifer Neville, Brian Gallagher: Why collective inference improves relational classification. KDD 2004: 593-598
	2003
6		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		Jennifer Neville, David Jensen, Lisa Friedland, Michael Hay: Learning relational probability trees. KDD 2003: 625-630
3		Amy McGovern, Lisa Friedland, Michael Hay, Brian Gallagher, Andrew S. 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		David Jensen, Jennifer Neville: Autocorrelation and Linkage Cause Bias in Evaluation of Relational Learners. ILP 2002: 101-116

Coauthor Index

1	David W. Aha	[44]
2	Luis von Ahn	[16]
3	Pelin Angin	[17]
4	Douglas Baumann	[33]
5	Reynold Cheng	[20]
6	Philipp Cimiano	[16]
7	Dmitri A. Dolgov	[16]
8	Hoda Eldardiry	[41]
9	Tina Eliassi-Rad	[22] [40] [42]
10	Ahmed K. Elmagarmid	[26] [28] [29] [36]
11	Sonia Fahmy	[27] [32]
12	Andrew S. Fast	[3]
13	Timothy La Fond	[24] [46]
14	Lisa Friedland	[3] [4]
15	Brian Gallagher	[3] [6] [7] [22] [40] [42] [43] [45] [47]
16	Henry G. Goldberg	[10]
17	Susanne E. Hambrusch	[20] [33]
18	Michael Hay	[3] [4] [5]
19	Keith Henderson	[43] [45] [47]
20	James A. Hendler (Jim Hendler)	[16]
21	Y. Charlie Hu (Yu Charlie Hu)	[27] [32]
22	Ihab F. Ilyas	[29] [36]
23	David Jensen	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [13] [14] [15]
24	Indika Kahanda	[21]
25	Samuel Kaski	[30]
26	Ravish Khosla	[27] [32]
27	John Komoroske	[10]
28	Ankit Kuwadekar	[38]
29	Anat Levin	[16]
30	Chris Mayfield	[20] [25]
31	Luke McDowell	[44]
32	Amy McGovern	[3]
33	Peter Mika	[16]
34	Brian Milch	[16]
35	Louis-Philippe Morency	[16]
36	Sebastián Moreno	[46]
37	Boris Motik	[16]
38	Mourad Ouzzani	[26] [29] [36]
39	Kelly Palmer	[10]
40	Joseph J. Pfeiffer III	[35] [37] [46]
41	Sunil Prabhakar	[20] [25]
42	Monica Rogati	[23]
43	Ryan A. Rossi	[34] [43] [44] [45] [47] [48]
44	Rahul Shah	[20]
45	Umang Sharan	[18]
46	Özgür Simsek	[10]
47	Sarvjeet Singh	[20]
48	Erik B. Sudderth	[16]
49	S. V. N. Vishwanathan (Vishy Vishwanathan)	[30]
50	Tao Wang	[40] [42]
51	Stefan Wrobel	[30]
52	Rongjing Xiang	[19] [23] [31] [39]
53	Mohamed Yakout	[26] [28] [29] [36]

Colors in the list of coauthors

Last update Sun Jun 3 16:06:10 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page