Events and Cancellations

Memorial Research Week 2019 - Marine Institute School of Fisheries Lunchtime Seminar Series
Dates: Wednesday, 13th November 2019
Time(s): 12:00 pm - 1:00 pm
Organizer: Fisheries Graduate Student Association
Venue: Hampton Hall
Event Details:

Presenter: Danielle Quinn

Hosted by the Fisheries Graduate Student Association, this week’s seminar focuses on Supervised machine learning to facilitate cryptic skate classification and observer training in real time.  The inability to differentiate accurately and confidently among morphologically similar species that overlap spatially constrains effective conservation and management strategies. Machine learning offers a promising alternative to statistical inference techniques. By applying supervised machine learning to decipher this classification problem, researchers have generated predictions of species’ classification with equal or higher accuracy than alternative methods.

The seminar will explore the strengths, limitations, and potential application of routines for retroactive and on-the-ground differentiation of Cryptic Winter Skate and Little Skate populations in the Bay of Fundy, Nova Scotia, Canada, explaining its broader application for a wide range of classification challenges. Ms. Quinn will also explore the development of a web-based application that gives users access to these routines, and discuss the increasingly important role of interactive user interfaces in wildlife and fisheries science.

Last Updated: Thu, 31 Oct 2019 08:34:57 NDT