@article {53307,
	title = {The use of context in machine learning for bioacoustics},
	journal = {The Journal of the Acoustical Society of America},
	volume = {144},
	year = {2018},
	month = {Jan-09-2018},
	pages = {1728 - 1728},
	abstract = {<p>Biological acoustic signals are often produced in context. Contextual information includes things such as timing between calls, conspecific or interspecies cues, and physical environmental cues such as sunrise or sunset. We show how some forms of contextual information can be used to improve the results of detection and classification tasks for biological acoustic signals. We examine how context can be used to improve labeled data, resulting in more-accurate classification results, as well as how learners can exploit context directly. We demonstrate these improvements via two bioacoustic detection/classification tasks. The first algorithm detects odontocete echolocation clicks. We used a decision support system that allowed analysts to label echolocation clicks using between call timing cues as well as other measurements and found that deep learners trained with these high quality data are able to detect clicks in adverse environments. The second algorithm applies contextual information surrounding North Atlantic right whale upcalls to improve precision and recall. [This work was supported by ONR Grant Nos. N00014-17-1-2867 and N00014-15-1-2299.]</p>
},
	issn = {0001-4966},
	doi = {10.1121/1.5067665},
	url = {http://asa.scitation.org/doi/10.1121/1.5067665},
	author = {Roch, Marie A. and Baumann-Pickering, Simone and Cholewiak, Danielle and Fleishman, Erica and Frasier, Kaitlin E. and Glotin, Herv{\'e} and Helble, Tyler A. and John A. Hildebrand and Klinck, Holger and Lindeneau, Scott and Liu, Xiaobai and Nosal, Eva-Marie and Palmer, Kaitlin and Shiu, Yu and Singh, Gurisht}
}
@article {53027,
	title = {Identifying behavioral states and habitat use of acoustically tracked humpback whales in Hawaii},
	journal = {Marine Mammal Science},
	volume = {34},
	year = {2018},
	month = {Jan-07-2018},
	pages = {701 - 717},
	abstract = {<p>Although humpback whales have been well-studied on their Hawaiian breeding grounds, it is difficult to track individual animals over long distances without tags, particularly when they move offshore. Here, singing humpback whales were localized in three dimensions on the Pacific Missile Range Facility off Kauai, Hawaii, located between 20 km and 80 km offshore, from January 2011 through June 2014. Detailed behavioral analyses were conducted on the resulting tracks. One hundred and eight individual tracks were identified and metrics of these tracks were examined. Using these metrics, the tracks were classified into four behavior categories, described herein as Directed Travel, Repeated Stationary Dives, Mill, and tracks with Combinations of behavioral states. Some diel and seasonal patterns were identified, with Mill tracks occurring more at night than the other behaviors, Repeated Stationary Dive tracks occurring more during the day, and Directed Travel occurring only at the start and end of the breeding season. These results provide detailed insights into the movement of singing humpback whales, particularly in offshore waters where they may be migrating into or out of breeding grounds. This also contributes valuable information on the baseline behavior of humpback whales on a US Navy training range.</p>
},
	doi = {10.1111/mms.v34.310.1111/mms.12475},
	url = {http://doi.wiley.com/10.1111/mms.v34.3},
	author = {Elizabeth Henderson, E. and Helble, Tyler A. and Ierley, Glenn and Martin, Steve}
}
