Benjamin A. Miller

Cited by

	All	Since 2018
Citations	959	417
h-index	15	11
i10-index	23	13

120

2009201020112012201320142015201620172018201920202021202220233 10 26 51 68 84 110 87 85 81 70 66 86 59 55

Public access

View all

9 articles

1 article

available

not available

Based on funding mandates

Co-authors

Patrick J. WolfeProfessor of Statistics, University College LondonVerified email at stat.harvard.edu
Nicholas ArcolanoJellyfishVerified email at post.harvard.edu
Andrew BolstadIowa State UniversityVerified email at iastate.edu
Tina Eliassi-RadProfessor & President Joseph E. Aoun Chair, Northeastern UniversityVerified email at eliassi.org
Jeremy KepnerMIT Lincoln Laboratory Supercomputing CenterVerified email at ll.mit.edu
Vijay GadepallyMITVerified email at mit.edu
Zohair ShafiNortheastern UniversityVerified email at northeastern.edu
Wheeler RumlUniversity of New HampshireVerified email at cs.unh.edu
Scott AlfeldAmherst CollegeVerified email at amherst.edu
Yevgeniy VorobeychikWashington University in Saint LouisVerified email at wustl.edu
Shana HutchisonUniversity of WashingtonVerified email at cs.washington.edu
Stephen KelleyUnited HealthcareVerified email at uhc.com
Mustafa ÇamurcuNortheastern UniversityVerified email at husky.neu.edu
Steven Thomas SmithMIT Lincoln LaboratoryVerified email at ieee.org
Lauren MilechinMIT Office of Research Computing and DataVerified email at mit.edu
Janani KalyanamUniversity of California, San DiegoVerified email at ucsd.edu
Vivek K GoyalBoston UniversityVerified email at bu.edu
Navraj SinghDirector, Sensor Fusion, Slingshot AerospaceVerified email at slingshotaerospace.com
Karl NiTechnical StaffVerified email at mit.edu
Albert I Reuther, Ph.D., MBASenior Technical Staff, MIT Lincoln Laboratory Supercomputing CenterVerified email at computer.org

Benjamin A. Miller

Lincoln Laboratory, Massachusetts Institute of Technology

Verified email at ll.mit.edu

Statistical Signal Processing Machine Learning Digital Signal Processing Scalable Algorithms Dimensionality Reduction


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Subgraph Detection Using Eigenvector L1 Norms. BA Miller, NT Bliss, PJ Wolfe NIPS 2010, 1633-1641, 2010	82	2010
Efficient anomaly detection in dynamic, attributed graphs: Emerging phenomena and big data BA Miller, N Arcolano, NT Bliss 2013 IEEE International Conference on Intelligence and Security Informatics …, 2013	64	2013
Toward signal processing theory for graphs and non-Euclidean data BA Miller, NT Bliss, PJ Wolfe 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010	63	2010
A spectral framework for anomalous subgraph detection BA Miller, MS Beard, PJ Wolfe, NT Bliss IEEE Transactions on Signal Processing 63 (16), 4191-4206, 2015	62	2015
Graphulo: Linear algebra graph kernels for NoSQL databases V Gadepally, J Bolewski, D Hook, D Hutchison, B Miller, J Kepner 2015 IEEE International Parallel and Distributed Processing Symposium …, 2015	61	2015
Polyphase nonlinear equalization of time-interleaved analog-to-digital converters J Goodman, B Miller, M Herman, G Raz, J Jackson IEEE Journal of Selected Topics in Signal Processing 3 (3), 362-373, 2009	57	2009
Eigenspace analysis for threat detection in social networks BA Miller, MS Beard, NT Bliss 14th International Conference on Information Fusion, 1-7, 2011	41	2011
Matched filtering for subgraph detection in dynamic networks BA Miller, MS Beard, NT Bliss 2011 IEEE Statistical Signal Processing Workshop (SSP), 509-512, 2011	37	2011
A scalable signal processing architecture for massive graph analysis BA Miller, N Arcolano, MS Beard, J Kepner, MC Schmidt, NT Bliss, ... 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012	34	2012
Detection theory for graphs BA Miller, NT Bliss, PJ Wolfe, MS Beard Lincoln Laboratory Journal 20 (1), 10-30, 2013	32	2013
Digital compensation of a nonlinear system HH Kim, MR Green, BA Miller, AK Bolstad, AR Chen, DD Santiago US Patent 8,644,437, 2014	23	2014
A multi-sensor compressed sensing receiver: Performance bounds and simulated results B Miller, J Goodman, K Forsythe, JZ Sun, VK Goyal Signals, Systems and Computers, 2009 Conference Record of the Forty-Third …, 2009	22	2009
The cube coefficient subspace architecture for nonlinear digital predistortion M Herman, B Miller, J Goodman 2008 42nd Asilomar Conference on Signals, Systems and Computers, 1857-1861, 2008	22	2008
Anomalous subgraph detection via sparse principal component analysis N Singh, BA Miller, NT Bliss, PJ Wolfe 2011 IEEE Statistical Signal Processing Workshop (SSP), 485-488, 2011	21	2011
A log-frequency approach to the identification of the Wiener–Hammerstein model J Goodman, M Herman, B Bond, B Miller IEEE Signal Processing Letters 16 (10), 889-892, 2009	21	2009
Improving Robustness to Attacks Against Vertex Classification BA Miller, M Çamurcu, AJ Gomez, K Chan, T Eliassi-Rad	15	2019
Polyphase nonlinear digital predistortion JI Goodman, BA Miller, MA Herman, JE Vian US Patent 8,410,843, 2013	14	2013
Efficient reconstruction of block-sparse signals J Goodman, K Forsythe, B Miller Statistical Signal Processing Workshop (SSP), 2011 IEEE, 629-632, 2011	14	2011
Extending the dynamic range of RF receivers using nonlinear equalization J Goodman, B Miller, M Herman, M Vai, P Monticciolo 2009 International Waveform Diversity and Design Conference, 224-228, 2009	14	2009
Sampling operations on big data V Gadepally, T Herr, L Johnson, L Milechin, M Milosavljevic, BA Miller 2015 49th Asilomar Conference on Signals, Systems and Computers, 1515-1519, 2015	13	2015

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors