SELECTED CONFERENCE PUBLICATIONS
(Selected journal publications can be found here.)
(Selected submitted papers can be found here.)

Dan Sussman, Vince Lyzinski, Youngser Park, C.E. Priebe,"Matched Filters for
Noisy Indued Subgraph Detection", GTA³ 2018: Workshop on
Graph Techniques for Adversarial Activity Analytics, in conjuction
with 11th ACM International Conference on Web Search and Data
Mining, Marina Del Rey, CA, Feb 9,
2018. (won the best paper award)

Da Zheng, Disa Mhembere, Joshua T. Vogelstein, C.E. Priebe,
and Randal Burns,"FlashR: Parallelize and
Scale R for Machine Learning using SSDs,", accepted for The 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel
Programming (PPoPP 2018), Vienna, Austria, Feb 24  28, 2018.

Keith Levin, Avanti Athreya, Minh Tang, Vince Lyzinski,
C.E. Priebe,"A central limit theorem for an omnibus embedding
of multiple random dot product graphs," Data Driven Discovery
Workshop, IEEE International Conference on Data Mining (ICDM), New Orleans, Louisiana, USA, 18 November 2017

W.M. Campbell, Lin Li, C. Dagli, J. AcevedoAviles, K. Greyer,
J.P. Campbell, C.E. Priebe. "CrossDomain Entity
Resolution in Social Media," The 4th International Workshop on
Natural Language Processing for Social Media", July 11, New York, 2016.

D. Zheng, R. Burns, J. Vogelstein, C. E. Priebe, and
A. S. Szalay. "An SSDbased eigensolver for spectral analysis on
billionnode graph,". CoRR, abs/1602.01421, 2016.

Joshua T. Vogelstein and John Bogovic and Aaron Carass and William R. Gray and Jerry L. Prince and Bennett L and Luigi Ferrucci and Susan M. Resnick and Carey E. Priebe and R. Jacob Vogelstein,
"GraphTheoretical Methods for
Statistical Inference on MR Connectome Data," OHBM, 2015.

Da Zheng, Disa Mhembere, Randal Burns, Joshua Vogelstein,
Carey E. Priebe, Alexander S. Szalay,
"FlashGraph: Processing
BillionNode Graphs on an Array of Commodity SSDs," In 13th USENIX Conference on File and Storage Technologies (FAST 15), 2015.

Youngser Park, Heng Wang, Tobias Nöbauer, Alipasha Vaziri, Carey E. Priebe,
"Anomaly Detection on
WholeBrain Functional Imaging of Neuronal Activity using Graph
Scan Statistics," 21st ACM SIGKDD Conference on Knowledge
Discovery and Data Mining (KDD2015), Workshop on Outlier Definition, Detection, and Description (ODDx3),
August 10, Sydney, Australia

Heng Wang, Da Zheng, Randal Burns, Carey E. Priebe,
"Active Community
Detection in Massive Graphs," SDMNetworks 2015: The Second SDM Workshop on
Mining Networks and Graphs: A Big Data Analytic Challenge,
April 30  May 02, 2015, Vancouver, BC, Canada

J. Feng, X. Tang, M. Tang, C.E. Priebe, M.I. Miller,
"Metric space structures for
computational anatomy," 4th International Workshop of Machine
Learning in Medical Imaging, Nagoya, Japan, September 22,
Springer, pp 123–130, 2013.
 H. Wang, M. Tang,
C.E. Priebe, Y. Park,
￼￼Inference in Time Series of Graphs using Locality Statistics ,
IEEE Global Conference on Signal and Information Processing, Austin, Texas, Dec 35, 2013. poster.
 D. Mhembere, W.G. Roncal, D. Sussman,
C.E. Priebe, R. Jung, S. Ryman, R.J. Vogelstein, J.T. Vogelstein, R. Burns,
Computing Scalable Multivariate Glocal Invariants of Large (Brain) Graphs
IEEE Global Conference on Signal and Information Processing, Austin, Texas, Dec 35, 2013. poster.
 Z. Lubberts,
C.E. Priebe, Doug Comer, Daniel Sussman, Li
Chen,
￼￼A Statistical Approach to Archaeological Surveys Using Remotely Sensed Data ,
The 3rd annual Hopkins Imaging Conference,
Nov. 21, 2013. Zack's photo.
 D.L Sussman, D. Mhembere, S. Ryman, R. Jung,
R.J. Vogelstein, R. Burns, J.Vogelstein,
and C.E. Priebe,
Massive Diffusion MRI Graph Structure Preserves Spatial Information
,
Organization for Human Brain Mapping, Seatle, WA, 2013.
 B. Castle, M.W. Trosset, and C.E. Priebe,
A Nonmetric Embedding Approach to Testing for Matched Pairs
,
Technical Report 1104, Department of Statistics, Indiana University,
Bloomington, IN, 2011.
 L. Chen,
D.C. Comer, C.E. Priebe, D.L. Sussman, and J.C. Tilton, "Refinement of a Method for Identifying Probable Archaeological Sites from Remotely Sensed Data,"
A book chapter in Mapping Archaeological Landscapes from Space,
SpringerBriefs in Archaeological Heritage Management, 2013. Also appeared in
Johns Hopkins Engineering.
 M. Sun, M. Tang, C.E. Priebe,
A Comparison of Graph Embedding Methods for Vertex Nomination
,
2012 11th Internaltional Conference on Machine Learning and
Applications (ICMLA),
Boca Raton, FL, 2012.
 J.C. Tilton, D.C. Comer, C.E. Priebe, D.L. Sussman, L. Chen,
Refinement of a Method for Identifying Probable
Archaeological Sites from Remotely Sensed Data,
SPIE Defense, Security, and Sensing 2012, April, 2327,
Baltimore, 2012.
 N.H. Lee, C.E. Priebe, M. Tang,
An implied latent position process for doubly stochastic
messaging activities,
Annual International Conference on
Computational Mathematics, Computational Geometry
& Statistics (CMCGS 2012). January, 3031, Singapore, 2012.
 D.S. Lee and C.E. Priebe,
"Bayesian vertex nomination," 11th World Meeting of
the International Society for Bayesian Analysis (ISBA 2012), 2529
June 2012, Kyoto, Japan.
 C.E. Priebe, A. Rukhin,
Invariant Theory for Hypothesis Testing on Graphs
,
58th Session of the International Statistical Institute:
August 2126, 2011, Dublin, Ireland.
 D. Marchette, C.E. Priebe,
G. Coppersmith,
Vertex nomination via attributed random dot product graphs
,
58th Session of the International Statistical Institute:
August 2126, 2011, Dublin, Ireland.
 N.H. Lee, T.S.T. Leung, C.E. Priebe,
Random Graphs Based on SelfExciting Messaging
Activities,
2011 International Conference on Business Intelligence and
Financial Engineering, December, 1213, Hong Kong, 2011.
 C.E. Priebe, N.H. Lee, Y. Park, M. Tang, Attribute Fusion
in a Latent Process Model for Time Series of Graphs, IEEE
International Workshop on Statistical Signal Processing 2011
(SSP'11), pp 513516, Nice, France, June 2830, 2011.
 C.E. Priebe, G.A. Coppersmith, and A. Rukhin,
You say "graph invariant," I say
"test statistic", ASA Sections on Statistical Computing
Statistical Graphics, SCGN Newsletter, 21, 2010.
 Samuel Carliles, Tamás Budavári,
Sebastien Sebastien, Carey E. Priebe, Alexander Szalay,
Photometric Redshift Estimation on SDSS Data Using Random Forests, Astronomical Data Analysis Software and Systems XVII P5.10 ASP Conference Series, Vol. XXX, 2008.
 H. Zhou, D. Karakos, S. Khudanpur, A.G. Andreou
and C.E. Priebe, On Projections of
Gaussian Distributions using
Maximum Likelihood Criteria, in Proceedings of the 2009 Workshop
on Information Theory and its Applications (Invited Talk), UCSD
Campus, La Jolla, CA, February 813, 2009.
 D. Karakos, S. Khudanpur and C.E. Priebe,
Computation of Csiszar's Mutual
Information of Order alpha, in
Proceedings of the 2008 IEEE International Symposium on
Information Theory (ISIT08), Toronto, Canada, July 611, 2008.
 D. Karakos, S. Khudanpur, D.J. Marchette,
A. Papamarcou and C.E. Priebe, On the
Minimization of Concave Information Functionals for
Unsupervised Classification via Decision Trees,
Statistics and Probability Letters, Vol. 78, No. 8,
pp. 975984, June 2008.
 D. Karakos, S. Khudanpur, J. Eisner and
C.E. Priebe, Iterative Denoising
using JensenRenyi Divergences
with an Application to Unsupervised Document Categorization, in
Proceedings of the 2007 IEEE International Conference on
Acoustics, Speech and Signal Processing (ICASSP07), Honolulu,
Hawaii, April 1520, 2007.
 D. Karakos, J. Eisner, S. Khudanpur and
C.E. Priebe, CrossInstance Tuning
of Unsupervised Document
Clustering Algorithms, in Proceedings of the 2007 Annual
Conference of the North American Chapter of the Association for
Computational Linguistics (NAACLHLT 2007), Rochester, NY, April
2227, 2007.
 D.J. Marchette, C.E. Priebe, Y. Park,
D. Karakos, Iterative Denoising for
Adaptive Sensors, in
Proceedings of the 2006 Hawaii International Conference on
Statistics, Mathematics and Related Fields, Honolulu, Hawaii,
January 1618, 2006.
 D. Karakos, S. Khudanpur, J. Eisner and
C.E. Priebe, Unsupervised
Classification via Decision Trees: An
InformationTheoretic Perspective, in Proceedings of the 2005 IEEE
International Conference on Acoustics, Speech and Signal
Processing (Invited Talk), Philadelphia, PA, March 1823, 2005.
 C.E. Priebe, D.J. Marchette, Y. Park,
E. Wegman, J. Solka, D. Socolinsky, D. Karakos, K. Church,
R. Guglielmi, R. Coifman, D. Lin, D. Healy, M. Jacobs, A. Tsao,
Iterative Denoising for
Crosscorpus Discovery, in Proceedings of
the 2004 Symposium on Computational Statistics (Invited Talk),
Prague, August 2327, 2004.
Last Modified: Wednesday, 13Jun2018 16:21:26 EDT