Modeling the tail of a hyperexponential distribution to detect abnormal periods of inactivity in older adults

Masud Moshtaghi; Ingrid Zukerman

doi:10.1007/978-3-319-13560-1_85

Modeling the tail of a hyperexponential distribution to detect abnormal periods of inactivity in older adults

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Original language	English
Title of host publication	PRICAI 2014: Trends in Artificial Intelligence - 13th Pacific Rim International Conference on Artificial Intelligence, Proceedings
Editors	Duc-Nghia Pham, Seong-Bae Park
Place of Publication	Cham Switzerland
Publisher	Springer
Pages	985 - 997
Number of pages	13
ISBN (Print)	9783319135595
DOIs	https://doi.org/10.1007/978-3-319-13560-1_85
Publication status	Published - 2014
Event	Pacific Rim International Conference on Artificial Intelligence 2014 - Gold Coast, Australia Duration: 1 Dec 2014 → 5 Dec 2014 Conference number: 13th http://www.pricai.org/conferences/past-conferences/6-pricai-2010-conference.html

Conference

Conference	Pacific Rim International Conference on Artificial Intelligence 2014
Abbreviated title	PROCAI-2014
Country	Australia
City	Gold Coast
Period	1/12/14 → 5/12/14
Internet address	http://www.pricai.org/conferences/past-conferences/6-pricai-2010-conference.html

Access to Document

10.1007/978-3-319-13560-1_85

2732502-oaFinal published version, 361 KB

Cite this

Moshtaghi, M., & Zukerman, I. (2014). Modeling the tail of a hyperexponential distribution to detect abnormal periods of inactivity in older adults. In D-N. Pham, & S-B. Park (Eds.), PRICAI 2014: Trends in Artificial Intelligence - 13th Pacific Rim International Conference on Artificial Intelligence, Proceedings (pp. 985 - 997). Springer. https://doi.org/10.1007/978-3-319-13560-1_85

Moshtaghi, Masud ; Zukerman, Ingrid. / Modeling the tail of a hyperexponential distribution to detect abnormal periods of inactivity in older adults. PRICAI 2014: Trends in Artificial Intelligence - 13th Pacific Rim International Conference on Artificial Intelligence, Proceedings. editor / Duc-Nghia Pham ; Seong-Bae Park. Cham Switzerland : Springer, 2014. pp. 985 - 997

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author = "Masud Moshtaghi and Ingrid Zukerman",

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doi = "10.1007/978-3-319-13560-1_85",

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booktitle = "PRICAI 2014: Trends in Artificial Intelligence - 13th Pacific Rim International Conference on Artificial Intelligence, Proceedings",

publisher = "Springer",

note = "Pacific Rim International Conference on Artificial Intelligence 2014, PROCAI-2014 ; Conference date: 01-12-2014 Through 05-12-2014",

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Moshtaghi, M & Zukerman, I 2014, Modeling the tail of a hyperexponential distribution to detect abnormal periods of inactivity in older adults. in D-N Pham & S-B Park (eds), PRICAI 2014: Trends in Artificial Intelligence - 13th Pacific Rim International Conference on Artificial Intelligence, Proceedings. Springer, Cham Switzerland, pp. 985 - 997, Pacific Rim International Conference on Artificial Intelligence 2014, Gold Coast, Australia, 1/12/14. https://doi.org/10.1007/978-3-319-13560-1_85

Modeling the tail of a hyperexponential distribution to detect abnormal periods of inactivity in older adults. / Moshtaghi, Masud; Zukerman, Ingrid.

PRICAI 2014: Trends in Artificial Intelligence - 13th Pacific Rim International Conference on Artificial Intelligence, Proceedings. ed. / Duc-Nghia Pham; Seong-Bae Park. Cham Switzerland : Springer, 2014. p. 985 - 997.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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BT - PRICAI 2014: Trends in Artificial Intelligence - 13th Pacific Rim International Conference on Artificial Intelligence, Proceedings

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CY - Cham Switzerland

T2 - Pacific Rim International Conference on Artificial Intelligence 2014

Y2 - 1 December 2014 through 5 December 2014

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Moshtaghi M, Zukerman I. Modeling the tail of a hyperexponential distribution to detect abnormal periods of inactivity in older adults. In Pham D-N, Park S-B, editors, PRICAI 2014: Trends in Artificial Intelligence - 13th Pacific Rim International Conference on Artificial Intelligence, Proceedings. Cham Switzerland: Springer. 2014. p. 985 - 997 https://doi.org/10.1007/978-3-319-13560-1_85