 | 2012 |
| 19 |  | Ryan A. Rossi,
Brian Gallagher,
Jennifer Neville,
Keith Henderson:
Role-dynamics: fast mining of large dynamic networks.
WWW (Companion Volume) 2012: 997-1006 |
| 18 |  | Ryan A. Rossi,
Brian Gallagher,
Jennifer Neville,
Keith Henderson:
Role-Dynamics: Fast Mining of Large Dynamic Networks
CoRR abs/1203.2200: (2012) |
| 17 |  | 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 |
| 16 |  | Tao Wang,
Jennifer Neville,
Brian Gallagher,
Tina Eliassi-Rad:
Correcting Bias in Statistical Tests for Network Classifier Evaluation.
ECML/PKDD (3) 2011: 506-521 |
| 15 |  | Keith Henderson,
Brian Gallagher,
Lei Li,
Leman Akoglu,
Tina Eliassi-Rad,
Hanghang Tong,
Christos Faloutsos:
It's who you know: graph mining using recursive structural features.
KDD 2011: 663-671 |
| 14 |  | Craig Ulmer,
Maya Gokhale,
Brian Gallagher,
Philip Top,
Tina Eliassi-Rad:
Massively parallel acceleration of a document-similarity classifier to detect web attacks.
J. Parallel Distrib. Comput. 71(2): 225-235 (2011) |
| 2010 |
| 13 |  | Marios Iliofotou,
Brian Gallagher,
Tina Eliassi-Rad,
Guowu Xie,
Michalis Faloutsos:
Profiling-By-Association: a resilient traffic profiling solution for the internet backbone.
CoNEXT 2010: 2 |
| 12 |  | Brian Gallagher,
Marios Iliofotou,
Tina Eliassi-Rad,
Michalis Faloutsos:
Link Homophily in the Application Layer and its Usage in Traffic Classification.
INFOCOM 2010: 221-225 |
| 2009 |
| 11 |  | Jennifer Neville,
Brian Gallagher,
Tina Eliassi-Rad:
Evaluating Statistical Tests for Within-Network Classifiers of Relational Data.
ICDM 2009: 397-406 |
| 2008 |
| 10 |  | Duen Horng Chau,
Christos Faloutsos,
Hanghang Tong,
Jason I. Hong,
Brian Gallagher,
Tina Eliassi-Rad:
GRAPHITE: A Visual Query System for Large Graphs.
ICDM Workshops 2008: 963-966 |
| 9 |  | Brian Gallagher,
Hanghang Tong,
Tina Eliassi-Rad,
Christos Faloutsos:
Using ghost edges for classification in sparsely labeled networks.
KDD 2008: 256-264 |
| 8 |  | Brian Gallagher,
Tina Eliassi-Rad:
Leveraging Label-Independent Features for Classification in Sparsely Labeled Networks: An Empirical Study.
SNAKDD 2008: 1-19 |
| 7 |  | Prithviraj Sen,
Galileo Namata,
Mustafa Bilgic,
Lise Getoor,
Brian Gallagher,
Tina Eliassi-Rad:
Collective Classification in Network Data.
AI Magazine 29(3): 93-106 (2008) |
| 2007 |
| 6 |  | Brian Gallagher,
Tina Eliassi-Rad:
An Examination of Experimental Methodology for Classifiers of Relational Data.
ICDM Workshops 2007: 411-416 |
| 5 |  | Hanghang Tong,
Christos Faloutsos,
Brian Gallagher,
Tina Eliassi-Rad:
Fast best-effort pattern matching in large attributed graphs.
KDD 2007: 737-746 |
| 2006 |
| 4 |  | John Burgess,
Brian Gallagher,
David Jensen,
Brian Neil Levine:
MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks.
INFOCOM 2006 |
| 2004 |
| 3 |  | David Jensen,
Jennifer Neville,
Brian Gallagher:
Why collective inference improves relational classification.
KDD 2004: 593-598 |
| 2003 |
| 2 |  | Jennifer Neville,
David Jensen,
Brian Gallagher:
Simple Estimators for Relational Bayesian Classifiers.
ICDM 2003: 609-612 |
| 1 |  | 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) |