Benjamin Coleman
Benjamin Coleman
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Cited by
Point-of-care colorimetric analysis through smartphone video
B Coleman, C Coarsey, MA Kabir, W Asghar
Sensors and Actuators B: Chemical 282, 225-231, 2019
Cell phone based colorimetric analysis for point-of-care settings
B Coleman, C Coarsey, W Asghar
Analyst 144 (6), 1935-1947, 2019
Development of a flow-free magnetic actuation platform for an automated microfluidic ELISA
C Coarsey, B Coleman, MA Kabir, M Sher, W Asghar
RSC advances 9 (15), 8159-8168, 2019
Sub-linear race sketches for approximate kernel density estimation on streaming data
B Coleman, A Shrivastava
Proceedings of The Web Conference 2020, 1739-1749, 2020
To Petabytes and beyond: recent advances in probabilistic and signal processing algorithms and their application to metagenomics
RAL Elworth, Q Wang, PK Kota, CJ Barberan, B Coleman, A Balaji, ...
Nucleic acids research 48 (10), 5217-5234, 2020
Modeling and Analysis of Power Line Communications for Application in Smart Grid
M Peck, G Alvarez, B Coleman, H Moradi, M Forest, V Aalo
arXiv preprint arXiv:1709.06883, 2017
Sub-linear Memory Sketches for Near Neighbor Search on Streaming Data
B Coleman, R Baraniuk, A Shrivastava
International Conference on Machine Learning, 2089-2099, 2020
Bloom Origami Assays: Practical Group Testing
L Abraham, G Becigneul, B Coleman, B Scholkopf, A Shrivastava, ...
arXiv preprint arXiv:2008.02641, 2020
A One-Pass Private Sketch for Most Machine Learning Tasks
B Coleman, A Shrivastava
arXiv preprint arXiv:2006.09352, 2020
Sub-linear sequence search via a Repeated And Merged Bloom Filter (RAMBO): indexing 170 TB data in 14 hours
G Gupta, M Yan, B Coleman, RA Elworth, T Treangen, A Shrivastava
arXiv preprint arXiv:1910.04358, 2019
Diversified RACE sampling on data streams applied to metagenomic sequence analysis
B Coleman, B Geordie, L Chou, RAL Elworth, TJ Treangen, A Shrivastava
bioRxiv, 852889, 2019
Density Sketches for Sampling and Estimation
A Desai, B Coleman, A Shrivastava
arXiv preprint arXiv:2102.12301, 2021
STORM: Foundations of End-to-End Empirical Risk Minimization on the Edge
B Coleman, G Gupta, J Chen, A Shrivastava
arXiv preprint arXiv:2006.14554, 2020
RAMBO: Repeated And Merged BloOm Filter for Ultra-fast Multiple Set Membership Testing (MSMT) on Large-Scale Data
G Gupta, M Yan, B Coleman, RA Elworth, T Medini, T Treangen, ...
arXiv preprint arXiv:1910.02611, 2019
Revisiting Consistent Hashing with Bounded Loads
J Chen, B Coleman, A Shrivastava
arXiv preprint arXiv:1908.08762, 2019
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