2008 | ||
---|---|---|
48 | EE | Andrew Fast, David Jensen: Why Stacked Models Perform Effective Collective Classification. ICDM 2008: 785-790 |
47 | EE | Ravi Kumar, Alexander Tuzhilin, Christos Faloutsos, David Jensen, Gueorgi Kossinets, Jure Leskovec, Andrew Tomkins: Social networks: looking ahead. KDD 2008: 1060 |
46 | EE | Jennifer Neville, David Jensen: A bias/variance decomposition for models using collective inference. Machine Learning 73(1): 87-106 (2008) |
45 | EE | Michael Hay, Gerome Miklau, David Jensen, Donald F. Towsley, Philipp Weis: Resisting structural re-identification in anonymized social networks. PVLDB 1(1): 102-114 (2008) |
44 | EE | Amy McGovern, David Jensen: Optimistic pruning for multiple instance learning. Pattern Recognition Letters 29(9): 1252-1260 (2008) |
2007 | ||
43 | EE | Matthew J. Rattigan, Marc Maier, David Jensen, Bin Wu, Xin Pei, JianBin Tan, Yi Wang: Exploiting Network Structure for Active Inference in Collective Classification. ICDM Workshops 2007: 429-434 |
42 | EE | Matthew J. Rattigan, Marc Maier, David Jensen: Graph clustering with network structure indices. ICML 2007: 783-790 |
41 | EE | Jennifer Neville, David Jensen: Bias/Variance Analysis for Relational Domains. ILP 2007: 27-28 |
40 | EE | Lisa Friedland, David Jensen: Finding tribes: identifying close-knit individuals from employment patterns. KDD 2007: 290-299 |
39 | EE | Andrew Fast, Lisa Friedland, Marc Maier, Brian Taylor, David Jensen, Henry G. Goldberg, John Komoroske: Relational data pre-processing techniques for improved securities fraud detection. KDD 2007: 941-949 |
38 | EE | Trevor Strohman, W. Bruce Croft, David Jensen: Recommending citations for academic papers. SIGIR 2007: 705-706 |
2006 | ||
37 | EE | Chirag Shah, W. Bruce Croft, David Jensen: Representing documents with named entities for story link detection (SLD). CIKM 2006: 868-869 |
36 | EE | John Burgess, Brian Gallagher, David Jensen, Brian Neil Levine: MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks. INFOCOM 2006 |
35 | EE | Matthew J. Rattigan, Marc Maier, David Jensen: Using structure indices for efficient approximation of network properties. KDD 2006: 357-366 |
34 | EE | Hendrik Blockeel, David Jensen, Stefan Kramer: Introduction to the special issue on multi-relational data mining and statistical relational learning. Machine Learning 62(1-2): 3-5 (2006) |
2005 | ||
33 | Stephen Hart, Roderic A. Grupen, David Jensen: A Relational Representation for Procedural Task Knowledge. AAAI 2005: 1280-1285 | |
32 | EE | Jennifer Neville, David Jensen: Leveraging Relational Autocorrelation with Latent Group Models. ICDM 2005: 322-329 |
31 | EE | Özgür Simsek, David Jensen: Decentralized Search in Networks Using Homophily and Degree Disparity. IJCAI 2005: 304-310 |
30 | 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 |
29 | EE | Andrew Fast, David Jensen, Brian Neil Levine: Creating social networks to improve peer-to-peer networking. KDD 2005: 568-573 |
28 | EE | George Dean Bissias, Marc Liberatore, David Jensen, Brian Neil Levine: Privacy Vulnerabilities in Encrypted HTTP Streams. Privacy Enhancing Technologies 2005: 1-11 |
27 | EE | Jennifer Neville, David Jensen: Leveraging relational autocorrelation with latent group models. Probabilistic, Logical and Relational Learning 2005 |
26 | EE | Matthew J. Rattigan, David Jensen: The case for anomalous link discovery. SIGKDD Explorations 7(2): 41-47 (2005) |
2004 | ||
25 | EE | Bita Gorjiara, Pai H. Chou, Nader Bagherzadeh, Mehrdad Reshadi, David Jensen: Fast and efficient voltage scheduling by evolutionary slack distribution. ASP-DAC 2004: 659-662 |
24 | EE | Jennifer Neville, David Jensen: Dependency Networks for Relational Data. ICDM 2004: 170-177 |
23 | EE | David Jensen, Jennifer Neville, Brian Gallagher: Why collective inference improves relational classification. KDD 2004: 593-598 |
2003 | ||
22 | EE | Jennifer Neville, David Jensen, Brian Gallagher: Simple Estimators for Relational Bayesian Classifiers. ICDM 2003: 609-612 |
21 | David Jensen, Jennifer Neville, Michael Hay: Avoiding Bias when Aggregating Relational Data with Degree Disparity. ICML 2003: 274-281 | |
20 | Amy McGovern, David Jensen: Identifying Predictive Structures in Relational Data Using Multiple Instance Learning. ICML 2003: 528-535 | |
19 | EE | David Jensen, Matthew J. Rattigan, Hannah Blau: Information awareness: a prospective technical assessment. KDD 2003: 378-387 |
18 | EE | Jennifer Neville, David Jensen, Lisa Friedland, Michael Hay: Learning relational probability trees. KDD 2003: 625-630 |
17 | EE | Haifeng Xi, Heng Cao, Leonard Berman, David Jensen: Supply chain simulation: distributed supply chain simulation using a generic job running framework. Winter Simulation Conference 2003: 1305-1312 |
16 | 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 | ||
15 | David Jensen, Jennifer Neville: Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning. ICML 2002: 259-266 | |
14 | EE | David Jensen, Jennifer Neville: Autocorrelation and Linkage Cause Bias in Evaluation of Relational Learners. ILP 2002: 101-116 |
2000 | ||
13 | EE | Victor Lavrenko, Matthew D. Schmill, Dawn Lawrie, Paul Ogilvie, David Jensen, James Allan: Language Models for Financial News Recommendation. CIKM 2000: 389-396 |
12 | EE | David Jensen: Knowledge Discovery from Graphs (Invited Talk). Graph Drawing 2000: 170 |
11 | Fawzi Daud, Michael Mateas, Phoebe Sengers, Susan Brennan, Alain Giboin, David R. Traum, Vinay Chaudri, Richard Fikes, Donia Scott, Richard Power, David Jensen: Reports on the AAAI Fall Symposia (November 1999 and November 1998). AI Magazine 21(2): 85-88 (2000) | |
10 | EE | David Jensen: Data Snooping, Dredging and Fishing: The Dark Side of Data Mining, A SIGKDD99 Panel Report. SIGKDD Explorations 1(2): 52-54 (2000) |
1999 | ||
9 | David Jensen, Michael Atighetchi, Régis Vincent, Victor R. Lesser: Learning Quantitative Knowledge for Multiagent Coordination. AAAI/IAAI 1999: 24-31 | |
8 | Tim Oates, David Jensen: Toward a Theoretical Understanding of Why and When Decision Tree Pruning Algorithms Fail. AAAI/IAAI 1999: 372-378 | |
7 | EE | Foster J. Provost, David Jensen, Tim Oates: Efficient Progressive Sampling. KDD 1999: 23-32 |
6 | EE | David Jensen, Yulin Dong, Barbara Staudt Lerner, Eric K. McCall, Leon J. Osterweil, Stanley M. Sutton Jr., Alexander E. Wise: Coordinating agent activities in knowledge discovery processes. WACC 1999: 137-146 |
1998 | ||
5 | Tim Oates, David Jensen: Large Datasets Lead to Overly Complex Models: An Explanation and a Solution. KDD 1998: 294-298 | |
4 | Francisco Barahona, David Jensen: Plant location with minimum inventory. Math. Program. 83: 101-111 (1998) | |
1997 | ||
3 | Tim Oates, David Jensen: The Effects of Training Set Size on Decision Tree Complexity. ICML 1997: 254-262 | |
2 | EE | David Jensen, Tim Oates, Paul R. Cohen: Building Simple Models: A Case Study with Decision Trees. IDA 1997: 211-222 |
1 | David Jensen, Matthew D. Schmill: Adjusting for Multiple Comparisons in Decision Tree Pruning. KDD 1997: 195-198 |