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Eamonn Keogh

Department of Computer Science and Engineering

University of California, Riverside

BIOGRAPHY

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PUBLICATIONS

Finding unusual medical time-series subsequences: algorithms and applications.

IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society Jul, 2006 | Pubmed ID: 16871709

Quantitative Analysis of Live-Cell Growth at the Shoot Apex of Arabidopsis thaliana: Algorithms for Feature Measurement and Temporal alignment.

IEEE/ACM transactions on computational biology and bioinformatics / IEEE, ACM May, 2013 | Pubmed ID: 23713005

Quantitative analysis of live-cell growth at the shoot apex of Arabidopsis thaliana: algorithms for feature measurement and temporal alignment.

IEEE/ACM transactions on computational biology and bioinformatics / IEEE, ACM Sep-Oct, 2013 | Pubmed ID: 24384704

INSTITUTIONS

University of California, Riverside

JOVE ARTICLES

Flying Insect Detection and Classification with Inexpensive Sensors

Yanping Chen¹,

Adena Why²,

Gustavo Batista³,

Agenor Mafra-Neto⁴,

Eamonn Keogh¹

¹Department of Computer Science and Engineering, University of California, Riverside,

²Department of Entomology, University of California, Riverside,

³Institute of Mathematics and Computer Sciences, University of São Paulo - USP,

⁴, ISCA Technologies

Bioengineering

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Eamonn Keogh

.css-o250i3{font-size:18px;font-family:Open Sans,sans-serif;line-height:21.6px;}Department of Computer Science and Engineering

University of California, Riverside

Flying Insect Detection and Classification with Inexpensive Sensors

Department of Computer Science and Engineering