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The listing below is maintained sporadically.

For up-to-the-minute info on my publications, see my Google Scholar Profile.

2016

Jiang, M., B. Gallagher, J. Kallman, and D. Laney, "A Supervised Learning Framework for Arbitrary Lagrangian-Eulerian Simulations," Proceedings of the 15th IEEE International Conference on Machine Learning and Applications (ICMLA), 2016. [PDF]

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2013

Rossi, R., B. Gallagher, J. Neville, and K. Henderson, "Modeling Dynamic Behavior in Large Evolving Graphs," Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM), 2013. [PDF]

2012

Henderson K., B. Gallagher, T. Eliassi-Rad, H. Tong, S. Basu, L. Akoglu, D. Koutra, C. Faloutsos and L. Li, "RolX: Structural Role Extraction & Mining in Large Graphs," Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012. [PDF]

Neville, J, B. Gallagher, T. Eliassi-Rad, and Tao Wang, "Correcting Evaluation Bias of Relational Classifiers with Network Cross Validation." Knowledge and Information Systems, 30:31-55, 2012. [PDF]

Rossi, R., B. Gallagher, J. Neville and K. Henderson, "Role-Dynamics: Fast Mining of Large Dynamic Networks," Large Scale Network Analysis (LSNA-WWW), 2012. [PDF]

2011

Wang, T., J. Neville, B. Gallagher, and T. Eliassi-Rad, "Correcting Bias in Statistical Tests for Network Classifier Evaluation," Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2011. [PDF]

Henderson K., B. Gallagher, L. Li, L. Akoglu, T. Eliassi-Rad, H. Tong, and C. Faloutsos, "Itís Who You Know: Graph Mining Using Recursive Structural Features," Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011. [PDF]

Ulmer, C. M. Gokhale, B. Gallagher, P. Top, and T. Eliassi-Rad, "Massively parallel acceleration of a document-similarity classifier to detect web attacks." Journal of Parallel and Distributed Computing. Vol. 71, Issue 2, pp. 225-235, February 2011. [PDF]

2010

Iliofotou, M., B. Gallagher, T. Eliassi-Rad, G. Xie, and M. Faloutsos, Profiling-by-Association: A Resilient Traffic Profiling Solution for the Internet Backbone, Proceedings of the 2010 ACM International Conference on emerging Networking EXperiments and Technologies (CoNEXT), December 2010. [PDF]

Gallagher, B. and T. Eliassi-Rad, Leveraging Label-Independent Features for Classification in Sparsely Labeled Networks: An Empirical Study, Advances in Social Network Mining and Analysis, Second International Workshop, SNAKDD 2008, Las Vegas, NV, USA, August 24-27, 2008, Revised Selected Papers. Lecture Notes in Computer Science 5498 Springer 2010. [PDF]

Gallagher, B, M. Iliofotou, T. Eliassi-Rad, and M. Faloutsos, Link Homophily in the Application Layer and its Usage in Traffic Classification, Proceedings of the 29th IEEE Conference on Computer Communications (INFOCOM'10) Miniconference, San Diego, CA, March 2010. [PDF]

2009

Neville, J., B. Gallagher, and T. Eliassi-Rad, Evaluating Statistical Tests for Within-Network Classifiers of Relational Data, Proceedings of the 9th IEEE International Conference on Data Mining (ICDM'09), December, 2009. Best-paper award runner up. [PDF]

Gallagher, B. and T. Eliassi-Rad, Classification of HTTP Attacks: A Study on the ECML/PKDD 2007 Discovery Challenge, Lawrence Livermore National Laboratory Technical Report LLNL-TR-414570, 2009. [PDF] (Also presented at Center for Advanced Signal and Image Sciences (CASIS) Workshop, Lawrence Livermore National Laboratory, November 2008.)

2008

Sen, P. G. Namata, M. Bilgic, L. Getoor, B. Gallagher, and T. Eliassi-Rad, "Collective Classification in Network Data," AI Magazine, Special Issue on AI and Networks, 29(3):93-106, 2008. [PDF]

Gallagher, B., H. Tong, T. Eliassi-Rad, and C. Faloutsos, "Using Ghost Edges for Classification in Sparsely Labeled Networks," Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008. [PDF]

Gallagher, B. and T. Eliassi-Rad, "Leveraging Label-Independent Features for Classification in Sparsely Labeled Networks: An Empirical Study," In Proceedings of the Second ACM SIGKDD Workshop on Social Network Mining and Analysis (SNA-KDD), 2008. [PDF]

Chau, D. H., C. Faloutsos, H. Tong, J. Hong, B. Gallagher, and T. Eliassi-Rad, GRAPHITE: A Visual Query System for Large Graphs, Proceedings of the 2008 IEEE International Conference on Data Mining Workshops (ICDMW'08), Pisa, Italy, December 2008. [PDF]

2007

Gallagher, B. and T. Eliassi-Rad, "An Examination of Experimental Methodology for Classifiers of Relational Data," In Proceedings of the IEEE ICDM Workshop on Mining Graphs and Complex Structures, 2007. [PDF]

Tong, H., B. Gallagher, C. Faloutsos, and T. Eliassi-Rad, "Fast Best-Effort Pattern Matching in Large Attributed Graphs," Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007. [PDF]

Gallagher, B. and T. Eliassi-Rad, "Leveraging Network Structure to Infer Missing Values in Relational Data," Lawrence Livermore National Laboratory Technical Report UCRL-TR-231993, 2007.

2006

Gallagher, B., "Matching Structure and Semantics: A Survey on Graph-Based Pattern Matching," Papers from the AAAI Fall Symposium on Capturing and Using Patterns for Evidence Detection, 2006. [PDF]

Gallagher, B., "The State of the Art in Graph-Based Pattern Matching," Lawrence Livermore National Laboratory Technical Report UCRL-TR-220300, 2006.

Burgess, J., B. Gallagher, D. Jensen, and B.N. Levine, "MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networking," Proceedings of the 25th IEEE International Conference on Computer Communications (INFOCOM), 2006. [PDF]

2005

Gallagher, B., D. Jensen, and B.N. Levine, "Explaining Routing Performance in Disruption Tolerant Networks," University of Massachusetts Amherst, Technical Report 05-57, 2005. [PDF]

2004

Jensen, D., J. Neville, and B. Gallagher, "Why Collective Inference Improves Relational Classification," Proceedings of The 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004. [PDF]

2003

Neville, J., D. Jensen, and B. Gallagher, "Simple Estimators for Relational Bayesian Classifiers," Proceedings of The Third IEEE International Conference on Data Mining, 2003. [PDF] (Extended version available as Neville, J., D. Jensen, B. Gallagher and R. Fairgrieve, "Simple Estimators for Relational Bayesian Classifers," University of Massachusetts Amherst, Technical Report 03-04, 2003. [PDF])

McGovern, A., L. Friedland, M. Hay, B. Gallagher, A. Fast, J. Neville and D. Jensen, "Exploiting Relational Structure to Understand Publication Patterns in High-Energy Physics," SIGKDD Explorations, Volume 5, Issue 2, pages 165-172, December 2003 (Winning entry: KDD Cup 2003 Open Task, Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2003). [PDF]

Neville, J., D. Jensen, B. Gallagher and R. Fairgrieve, "Simple Estimators for Relational Bayesian Classifers," University of Massachusetts Amherst, Technical Report 03-04, 2003. [PDF]