Allen, JA, Murray, A, Noad, MJ, Dunlop, RA & Garland, EC 2017, 'Using self-organizing maps to classify humpback whale song units and quantify their similarity' Journal of the Acoustical Society of America.
Garland, EC, Rendell, LE, Lilley, M, Poole, MM, Allen, J & Noad, MJ 2017, 'The devil is in the detail: quantifying vocal variation in a complex, multi-levelled, and rapidly evolving display' Journal of the Acoustical Society of America.
Oña, J, Garland, EC & Denkinger, J 2017, 'Southeastern Pacific humpback whales (Megaptera novaeangliae) and their breeding grounds : distribution and habitat preference of singers and social groups off the coast of Ecuador' Marine Mammal Science, vol 33, no. 1, pp. 219-235. DOI: 10.1111/mms.12365
Stafford, KM, Ferguson, MC, Hauser, DDW, Okkonen, SR, Berchok, CL, Citta, JJ, Clarke, JT, Garland, EC, Jones, J & Suydam, RS 2016, 'Beluga whales in the western Beaufort Sea: current state of knowledge on timing, distribution, habitat use and environmental drivers' Deep Sea Research Part II: Topical Studies in Oceanography, vol In press. DOI: 10.1016/j.dsr2.2016.11.017
Mcloughlin, M, Ingram, S, Rendell, LE, Lamoni, LU, Kirke, A, Garland, EC, Noad, M & Miranda, E 2016, Adapting a computational multi agent model for humpback whale song research for use as a tool for algorithmic composition. in R Großmann & G Hajdu (eds), Proceedings SMC 2016. Proceedings of the SMC Conferences, Hochschule für Musik und Theater Hamburg, pp. 274-280, 13th Sound and Music Computing Conference and Summer School, Hamburg, Germany, 31-3 September.