Brian Gallagher

Orcid: 0000-0002-3262-6652

According to our database1, Brian Gallagher authored at least 48 papers between 2003 and 2024.

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Bibliography

2024
RankMean: Module-Level Importance Score for Merging Fine-tuned LLM Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2022
Device Classification for Industrial Control Systems Using Predicted Traffic Features.
Frontiers Comput. Sci., 2022

2021
Explaining neural network predictions of material strength.
CoRR, 2021

Industrial control system device classification using network traffic features and neural network embeddings.
Array, 2021

2020
Nanomaterial Synthesis Insights from Machine Learning of Scientific Articles by Extracting, Structuring, and Visualizing Knowledge.
J. Chem. Inf. Model., 2020

Exploiting Spark for HPC Simulation Data: Taming the Ephemeral Data Explosion.
Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 2020

2018
Designing Size Consistent Statistics for Accurate Anomaly Detection in Dynamic Networks.
ACM Trans. Knowl. Discov. Data, 2018

Using semantic graphs to detect overlapping target events and story lines from newspaper articles.
Int. J. Data Sci. Anal., 2018

Network Structure Inference, A Survey: Motivations, Methods, and Applications.
ACM Comput. Surv., 2018

2017
On Summarizing Large-Scale Dynamic Graphs.
IEEE Data Eng. Bull., 2017

ε - WGX: Adaptive Edge Probing for Enhancing Incomplete Networks.
Proceedings of the 2017 ACM on Web Science Conference, 2017

2016
DeltaCon: Principled Massive-Graph Similarity Function with Attribution.
ACM Trans. Knowl. Discov. Data, 2016

Size-Consistent Statistics for Anomaly Detection in Dynamic Networks.
CoRR, 2016

Generating Graph Snapshots from Streaming Edge Data.
Proceedings of the 25th International Conference on World Wide Web, 2016

A Supervised Learning Framework for Arbitrary Lagrangian-Eulerian Simulations.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Overlapping Target Event and Story Line Detection of Online Newspaper Articles.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

MaxReach: Reducing network incompleteness through node probes.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
MaxOutProbe: An Algorithm for Increasing the Size of Partially Observed Networks.
CoRR, 2015

First Development of a 5.9GHz DSRC On-Vehicle Coverage Capability.
Proceedings of the IEEE 82nd Vehicular Technology Conference, 2015

EP-MEANS: an efficient nonparametric clustering of empirical probability distributions.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

TimeCrunch: Interpretable Dynamic Graph Summarization.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
Anomaly Detection in Dynamic Networks of Varying Size.
CoRR, 2014

Attributed graph models: modeling network structure with correlated attributes.
Proceedings of the 23rd International World Wide Web Conference, 2014

A Guide to Selecting a Network Similarity Method.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013
Modeling dynamic behavior in large evolving graphs.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

2012
Correcting evaluation bias of relational classifiers with network cross validation.
Knowl. Inf. Syst., 2012

Dynamic Behavioral Mixed-Membership Model for Large Evolving Networks
CoRR, 2012

Role-dynamics: fast mining of large dynamic networks.
Proceedings of the 21st World Wide Web Conference, 2012

RolX: structural role extraction & mining in large graphs.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011
Massively parallel acceleration of a document-similarity classifier to detect web attacks.
J. Parallel Distributed Comput., 2011

Correcting Bias in Statistical Tests for Network Classifier Evaluation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

It's who you know: graph mining using recursive structural features.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010
Link Homophily in the Application Layer and its Usage in Traffic Classification.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

Profiling-By-Association: a resilient traffic profiling solution for the internet backbone.
Proceedings of the 2010 ACM Conference on Emerging Networking Experiments and Technology, 2010

2009
Evaluating Statistical Tests for Within-Network Classifiers of Relational Data.
Proceedings of the ICDM 2009, 2009

2008
Collective Classification in Network Data.
AI Mag., 2008

Using ghost edges for classification in sparsely labeled networks.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Leveraging Label-Independent Features for Classification in Sparsely Labeled Networks: An Empirical Study.
Proceedings of the Advances in Social Network Mining and Analysis, 2008

GRAPHITE: A Visual Query System for Large Graphs.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Fast best-effort pattern matching in large attributed graphs.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

An Examination of Experimental Methodology for Classifiers of Relational Data.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006
Wireless communications for vehicle safety: Radio link performance and wireless connectivity methods.
IEEE Veh. Technol. Mag., 2006

MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks.
Proceedings of the INFOCOM 2006. 25th IEEE International Conference on Computer Communications, 2006

Matching Structure and Semantics: A Survey on Graph-Based Pattern Matching.
Proceedings of the Capturing and Using Patterns for Evidence Detection, 2006

2004
Why collective inference improves relational classification.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003
Exploiting relational structure to understand publication patterns in high-energy physics.
SIGKDD Explor., 2003

Simple Estimators for Relational Bayesian Classifiers.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003


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