Brian Gallagher

52 papers A* 12A 3B 2C 2Misc 1Journal 21Unranked 11

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Cross-Quality Few-Shot Transfer for Alloy Yield Strength Prediction: A New Materials Science Benchmark and A Sparsity-Oriented Optimization Framework. CPAL Xuxi Chen, Tianlong Chen, Everardo Yeriel Olivares, Kate Elder, Scott McCall, Aurelien Perron, Joseph McKeown, Bhavya Kailkhura, Zhangyang Wang, Brian Gallagher
2024	—	`conf`	RankMean: Module-Level Importance Score for Merging Fine-tuned LLM Models. ACL (Findings) Gabriel J. Perin, Xuxi Chen, Shusen Liu, Bhavya Kailkhura, Zhangyang Wang, Brian Gallagher
2022	J	`jnl`	Device Classification for Industrial Control Systems Using Predicted Traffic Features. Frontiers Comput. Sci. Indrasis Chakraborty, Brian M. Kelley, Brian Gallagher
2021	J	`jnl`	Explaining neural network predictions of material strength. CoRR Ian A. Palmer, T. Nathan Mundhenk, Brian Gallagher, Yong Han
2021	J	`jnl`	Industrial control system device classification using network traffic features and neural network embeddings. Array Indrasis Chakraborty, Brian M. Kelley, Brian Gallagher
2020	C	`conf`	Exploiting Spark for HPC Simulation Data: Taming the Ephemeral Data Explosion. HPC Asia Ming Jiang, Brian Gallagher, Albert Chu, Ghaleb Abdulla, Timothy Bender
2020	J	`jnl`	Nanomaterial Synthesis Insights from Machine Learning of Scientific Articles by Extracting, Structuring, and Visualizing Knowledge. J. Chem. Inf. Model. Anna M. Hiszpanski, Brian Gallagher, Karthik Chellappan, Peggy Li, Shusen Liu, Hyojin Kim, Jinkyu Han, Bhavya Kailkhura, David J. Buttler, Thomas Yong-Jin Han
2018	J	`jnl`	Designing Size Consistent Statistics for Accurate Anomaly Detection in Dynamic Networks. ACM Trans. Knowl. Discov. Data Timothy La Fond, Jennifer Neville, Brian Gallagher
2018	J	`jnl`	Network Structure Inference, A Survey: Motivations, Methods, and Applications. ACM Comput. Surv. Ivan Brugere, Brian Gallagher, Tanya Y. Berger-Wolf
2018	J	`jnl`	Using semantic graphs to detect overlapping target events and story lines from newspaper articles. Int. J. Data Sci. Anal. Yifang Wei, Lisa Singh, David Buttler, Brian Gallagher
2017	J	`jnl`	On Summarizing Large-Scale Dynamic Graphs. IEEE Data Eng. Bull. Neil Shah, Danai Koutra, Lisa Jin, Tianmin Zou, Brian Gallagher, Christos Faloutsos
2017	—	`conf`	ε - WGX: Adaptive Edge Probing for Enhancing Incomplete Networks. WebSci Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher, Ali Pinar
2016	C	`conf`	A Supervised Learning Framework for Arbitrary Lagrangian-Eulerian Simulations. ICMLA Ming Jiang, Brian Gallagher, Joshua Kallman, Daniel E. Laney
2016	J	`jnl`	DeltaCon: Principled Massive-Graph Similarity Function with Attribution. ACM Trans. Knowl. Discov. Data Danai Koutra, Neil Shah, Joshua T. Vogelstein, Brian Gallagher, Christos Faloutsos
2016	—	`conf`	Generating Graph Snapshots from Streaming Edge Data. WWW (Companion Volume) Sucheta Soundarajan, Acar Tamersoy, Elias B. Khalil, Tina Eliassi-Rad, Duen Horng Chau, Brian Gallagher, Kevin A. Roundy
2016	B	`conf`	MaxReach: Reducing network incompleteness through node probes. ASONAM Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher, Ali Pinar
2016	J	`jnl`	Network Structure Inference, A Survey: Motivations, Methods, and Applications. CoRR Ivan Brugere, Brian Gallagher, Tanya Y. Berger-Wolf
2016	B	`conf`	Overlapping Target Event and Story Line Detection of Online Newspaper Articles. DSAA Yifang Wei, Lisa Singh, Brian Gallagher, David Buttler
2016	J	`jnl`	Size-Consistent Statistics for Anomaly Detection in Dynamic Networks. CoRR Timothy La Fond, Jennifer Neville, Brian Gallagher
2015	Misc	`conf`	EP-MEANS: an efficient nonparametric clustering of empirical probability distributions. SAC Keith Henderson, Brian Gallagher, Tina Eliassi-Rad
2015	—	`conf`	First Development of a 5.9GHz DSRC On-Vehicle Coverage Capability. VTC Fall Brian Gallagher
2015	J	`jnl`	MaxOutProbe: An Algorithm for Increasing the Size of Partially Observed Networks. CoRR Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher, Ali Pinar
2015	A*	`conf`	TimeCrunch: Interpretable Dynamic Graph Summarization. KDD Neil Shah, Danai Koutra, Tianmin Zou, Brian Gallagher, Christos Faloutsos
2014	A	`conf`	A Guide to Selecting a Network Similarity Method. SDM Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher
2014	J	`jnl`	Anomaly Detection in Dynamic Networks of Varying Size. CoRR Timothy La Fond, Jennifer Neville, Brian Gallagher
2014	A*	`conf`	Attributed graph models: modeling network structure with correlated attributes. WWW Joseph J. Pfeiffer III, Sebastián Moreno, Timothy La Fond, Jennifer Neville, Brian Gallagher
2014	A*	`conf`	Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective. ICDM Neil Shah, Alex Beutel, Brian Gallagher, Christos Faloutsos
2014	J	`jnl`	Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective. CoRR Neil Shah, Alex Beutel, Brian Gallagher, Christos Faloutsos
2013	A	`conf`	Modeling dynamic behavior in large evolving graphs. WSDM Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson
2012	J	`jnl`	Correcting evaluation bias of relational classifiers with network cross validation. Knowl. Inf. Syst. Jennifer Neville, Brian Gallagher, Tina Eliassi-Rad, Tao Wang
2012	J	`jnl`	Dynamic Behavioral Mixed-Membership Model for Large Evolving Networks CoRR Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson
2012	A*	`conf`	RolX: structural role extraction & mining in large graphs. KDD Keith Henderson, Brian Gallagher, Tina Eliassi-Rad, Hanghang Tong, Sugato Basu, Leman Akoglu, Danai Koutra, Christos Faloutsos, Lei Li
2012	J	`jnl`	Role-Dynamics: Fast Mining of Large Dynamic Networks CoRR Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson
2012	—	`conf`	Role-dynamics: fast mining of large dynamic networks. WWW (Companion Volume) Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson
2011	—	`conf`	Correcting Bias in Statistical Tests for Network Classifier Evaluation. ECML/PKDD (3) Tao Wang, Jennifer Neville, Brian Gallagher, Tina Eliassi-Rad
2011	A*	`conf`	It's who you know: graph mining using recursive structural features. KDD Keith Henderson, Brian Gallagher, Lei Li, Leman Akoglu, Tina Eliassi-Rad, Hanghang Tong, Christos Faloutsos
2011	J	`jnl`	Massively parallel acceleration of a document-similarity classifier to detect web attacks. J. Parallel Distributed Comput. Craig D. Ulmer, Maya B. Gokhale, Brian Gallagher, Philip Top, Tina Eliassi-Rad
2010	A*	`conf`	Link Homophily in the Application Layer and its Usage in Traffic Classification. INFOCOM Brian Gallagher, Marios Iliofotou, Tina Eliassi-Rad, Michalis Faloutsos
2010	A	`conf`	Profiling-By-Association: a resilient traffic profiling solution for the internet backbone. CoNEXT Marios Iliofotou, Brian Gallagher, Tina Eliassi-Rad, Guowu Xie, Michalis Faloutsos
2009	A*	`conf`	Evaluating Statistical Tests for Within-Network Classifiers of Relational Data. ICDM Jennifer Neville, Brian Gallagher, Tina Eliassi-Rad
2008	J	`jnl`	Collective Classification in Network Data. AI Mag. Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher, Tina Eliassi-Rad
2008	—	`conf`	GRAPHITE: A Visual Query System for Large Graphs. ICDM Workshops Duen Horng Chau, Christos Faloutsos, Hanghang Tong, Jason I. Hong, Brian Gallagher, Tina Eliassi-Rad
2008	—	`conf`	Leveraging Label-Independent Features for Classification in Sparsely Labeled Networks: An Empirical Study. SNAKDD Brian Gallagher, Tina Eliassi-Rad
2008	A*	`conf`	Using ghost edges for classification in sparsely labeled networks. KDD Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, Christos Faloutsos
2007	—	`conf`	An Examination of Experimental Methodology for Classifiers of Relational Data. ICDM Workshops Brian Gallagher, Tina Eliassi-Rad
2007	A*	`conf`	Fast best-effort pattern matching in large attributed graphs. KDD Hanghang Tong, Christos Faloutsos, Brian Gallagher, Tina Eliassi-Rad
2006	—	`conf`	Matching Structure and Semantics: A Survey on Graph-Based Pattern Matching. AAAI Fall Symposium: Capturing and Using Patterns for Evidence Detection Brian Gallagher
2006	A*	`conf`	MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks. INFOCOM John Burgess, Brian Gallagher, David D. Jensen, Brian Neil Levine
2006	J	`jnl`	Wireless communications for vehicle safety: Radio link performance and wireless connectivity methods. IEEE Veh. Technol. Mag. Brian Gallagher, Hidlehiko Akatsuka, Hideaki Suzuki
2004	A*	`conf`	Why collective inference improves relational classification. KDD David D. Jensen, Jennifer Neville, Brian Gallagher
2003	J	`jnl`	Exploiting relational structure to understand publication patterns in high-energy physics. SIGKDD Explor. Amy McGovern, Lisa Friedland, Michael Hay, Brian Gallagher, Andrew S. Fast, Jennifer Neville, David D. Jensen
2003	A*	`conf`	Simple Estimators for Relational Bayesian Classifiers. ICDM Jennifer Neville, David D. Jensen, Brian Gallagher