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Brian Gallagher
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2020 – today
- 2024
- [c30]Gabriel Perin, Xuxi Chen, Shusen Liu, Bhavya Kailkhura, Zhangyang Wang, Brian Gallagher:
RankMean: Module-Level Importance Score for Merging Fine-tuned LLM Models. ACL (Findings) 2024: 1776-1782 - 2022
- [j13]Indrasis Chakraborty, Brian M. Kelley, Brian Gallagher:
Device Classification for Industrial Control Systems Using Predicted Traffic Features. Frontiers Comput. Sci. 4: 777089 (2022) - 2021
- [j12]Indrasis Chakraborty
, Brian M. Kelley
Industrial control system device classification using network traffic features and neural network embeddings. Array 12: 100081 (2021) - [i8]Ian A. Palmer, T. Nathan Mundhenk, Brian Gallagher, Yong Han:
Explaining neural network predictions of material strength. CoRR abs/2111.03729 (2021) - 2020
- [j11]Anna M. Hiszpanski
Nanomaterial Synthesis Insights from Machine Learning of Scientific Articles by Extracting, Structuring, and Visualizing Knowledge. J. Chem. Inf. Model. 60(6): 2876-2887 (2020) - [c29]Ming Jiang, Brian Gallagher
Exploiting Spark for HPC Simulation Data: Taming the Ephemeral Data Explosion. HPC Asia 2020: 150-160
2010 – 2019
- 2018
- [j10]Ivan Brugere, Brian Gallagher
Network Structure Inference, A Survey: Motivations, Methods, and Applications. ACM Comput. Surv. 51(2): 24:1-24:39 (2018) - [j9]Yifang Wei
Using semantic graphs to detect overlapping target events and story lines from newspaper articles. Int. J. Data Sci. Anal. 5(1): 41-60 (2018) - [j8]Timothy La Fond, Jennifer Neville, Brian Gallagher
Designing Size Consistent Statistics for Accurate Anomaly Detection in Dynamic Networks. ACM Trans. Knowl. Discov. Data 12(4): 46:1-46:49 (2018) - 2017
- [j7]Neil Shah, Danai Koutra, Lisa Jin, Tianmin Zou, Brian Gallagher
On Summarizing Large-Scale Dynamic Graphs. IEEE Data Eng. Bull. 40(3): 75-88 (2017) - [c28]Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher
ε - WGX: Adaptive Edge Probing for Enhancing Incomplete Networks. WebSci 2017: 161-170 - 2016
- [j6]Danai Koutra, Neil Shah, Joshua T. Vogelstein, Brian Gallagher
DeltaCon: Principled Massive-Graph Similarity Function with Attribution. ACM Trans. Knowl. Discov. Data 10(3): 28:1-28:43 (2016) - [c27]Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher
MaxReach: Reducing network incompleteness through node probes. ASONAM 2016: 152-157 - [c26]Yifang Wei, Lisa Singh, Brian Gallagher
Overlapping Target Event and Story Line Detection of Online Newspaper Articles. DSAA 2016: 222-232 - [c25]Ming Jiang, Brian Gallagher, Joshua Kallman, Daniel E. Laney:
A Supervised Learning Framework for Arbitrary Lagrangian-Eulerian Simulations. ICMLA 2016: 977-982 - [c24]Sucheta Soundarajan, Acar Tamersoy, Elias B. Khalil
Generating Graph Snapshots from Streaming Edge Data. WWW (Companion Volume) 2016: 109-110 - [i7]Timothy La Fond, Jennifer Neville, Brian Gallagher
Size-Consistent Statistics for Anomaly Detection in Dynamic Networks. CoRR abs/1608.00712 (2016) - [i6]Ivan Brugere, Brian Gallagher, Tanya Y. Berger-Wolf:
Network Structure Inference, A Survey: Motivations, Methods, and Applications. CoRR abs/1610.00782 (2016) - 2015
- [c23]Neil Shah, Danai Koutra, Tianmin Zou, Brian Gallagher
TimeCrunch: Interpretable Dynamic Graph Summarization. KDD 2015: 1055-1064 - [c22]Keith Henderson, Brian Gallagher
EP-MEANS: an efficient nonparametric clustering of empirical probability distributions. SAC 2015: 893-900 - [c21]Brian Gallagher:
First Development of a 5.9GHz DSRC On-Vehicle Coverage Capability. VTC Fall 2015: 1-5 - [i5]Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher
MaxOutProbe: An Algorithm for Increasing the Size of Partially Observed Networks. CoRR abs/1511.06463 (2015) - 2014
- [c20]Neil Shah, Alex Beutel, Brian Gallagher
Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective. ICDM 2014: 959-964 - [c19]Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher
A Guide to Selecting a Network Similarity Method. SDM 2014: 1037-1045 - [c18]Joseph J. Pfeiffer III, Sebastián Moreno
Attributed graph models: modeling network structure with correlated attributes. WWW 2014: 831-842 - [i4]Neil Shah, Alex Beutel, Brian Gallagher, Christos Faloutsos:
Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective. CoRR abs/1410.3915 (2014) - [i3]Timothy La Fond, Jennifer Neville, Brian Gallagher
Anomaly Detection in Dynamic Networks of Varying Size. CoRR abs/1411.3749 (2014) - 2013
- [c17]Ryan A. Rossi, Brian Gallagher
Modeling dynamic behavior in large evolving graphs. WSDM 2013: 667-676 - 2012
- [j5]Jennifer Neville, Brian Gallagher
Correcting evaluation bias of relational classifiers with network cross validation. Knowl. Inf. Syst. 30(1): 31-55 (2012) - [c16]Keith Henderson, Brian Gallagher
RolX: structural role extraction & mining in large graphs. KDD 2012: 1231-1239 - [c15]Ryan A. Rossi, Brian Gallagher
Role-dynamics: fast mining of large dynamic networks. WWW (Companion Volume) 2012: 997-1006 - [i2]Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson:
Role-Dynamics: Fast Mining of Large Dynamic Networks. CoRR abs/1203.2200 (2012) - [i1]Ryan A. Rossi, Brian Gallagher
Dynamic Behavioral Mixed-Membership Model for Large Evolving Networks. CoRR abs/1205.2056 (2012) - 2011
- [j4]Craig D. Ulmer, Maya B. Gokhale, Brian Gallagher
Massively parallel acceleration of a document-similarity classifier to detect web attacks. J. Parallel Distributed Comput. 71(2): 225-235 (2011) - [c14]Keith Henderson, Brian Gallagher
It's who you know: graph mining using recursive structural features. KDD 2011: 663-671 - [c13]Tao Wang, Jennifer Neville, Brian Gallagher
Correcting Bias in Statistical Tests for Network Classifier Evaluation. ECML/PKDD (3) 2011: 506-521 - 2010
- [c12]Marios Iliofotou, Brian Gallagher
Profiling-By-Association: a resilient traffic profiling solution for the internet backbone. CoNEXT 2010: 2 - [c11]Brian Gallagher
Link Homophily in the Application Layer and its Usage in Traffic Classification. INFOCOM 2010: 221-225
2000 – 2009
- 2009
- [c10]Jennifer Neville, Brian Gallagher
Evaluating Statistical Tests for Within-Network Classifiers of Relational Data. ICDM 2009: 397-406 - 2008
- [j3]Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher, Tina Eliassi-Rad:
Collective Classification in Network Data. AI Mag. 29(3): 93-106 (2008) - [c9]Duen Horng Chau
GRAPHITE: A Visual Query System for Large Graphs. ICDM Workshops 2008: 963-966 - [c8]Brian Gallagher
Leveraging Label-Independent Features for Classification in Sparsely Labeled Networks: An Empirical Study. SNAKDD 2008: 1-19 - [c7]Brian Gallagher
Using ghost edges for classification in sparsely labeled networks. KDD 2008: 256-264 - 2007
- [c6]Brian Gallagher
An Examination of Experimental Methodology for Classifiers of Relational Data. ICDM Workshops 2007: 411-416 - [c5]Hanghang Tong
Fast best-effort pattern matching in large attributed graphs. KDD 2007: 737-746 - 2006
- [j2]Brian Gallagher, Hidlehiko Akatsuka, Hideaki Suzuki:
Wireless communications for vehicle safety: Radio link performance and wireless connectivity methods. IEEE Veh. Technol. Mag. 1(4): 4-24 (2006) - [c4]Brian Gallagher:
Matching Structure and Semantics: A Survey on Graph-Based Pattern Matching. AAAI Fall Symposium: Capturing and Using Patterns for Evidence Detection 2006: 45-53 - [c3]John Burgess, Brian Gallagher
MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks. INFOCOM 2006 - 2004
- [c2]David D. Jensen
Why collective inference improves relational classification. KDD 2004: 593-598 - 2003
- [j1]Amy McGovern, Lisa Friedland, Michael Hay, Brian Gallagher
Exploiting relational structure to understand publication patterns in high-energy physics. SIGKDD Explor. 5(2): 165-172 (2003) - [c1]Jennifer Neville, David D. Jensen, Brian Gallagher:
Simple Estimators for Relational Bayesian Classifiers. ICDM 2003: 609-612
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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