88 citations
- University of British ColumbiaCA5 papers
- Dalhousie UniversityCA4 papers
- University of AlbertaCA3 papers
- Ministry of EnvironmentCA2 papers
- Adobe Systems (United States)US1 paper
- Australian Centre for Robotic VisionAU1 paper
- Bedford Institute of OceanographyCA1 paper
- Ben-Gurion University of the NegevIL1 paper
- Columbia UniversityUS1 paper
- Deakin UniversityAU1 paper
- Département mathématiques, informatique, sciences de la donnée et technologies du numériqueFR1 paper
- Ecologie Comportementale et Biologie des Populations de PoissonsFR1 paper
13 papers
Using machine learning to inform harvest control rule design in complex fishery settings
Felipe Montealegre-Mora, Carl Boettiger, Carl J. Walters +1
In fishery science, harvest management of size-structured stochastic populations is a long-standing and difficult problem. Rectilinear precautionary policies based on biomass and h…
Maritime Tracking Data Analysis and Integration with AISdb
Gabriel Spadon, Jay Kumar, Jinkun Chen +7
Efficiently handling Automatic Identification System (AIS) data is vital for enhancing maritime safety and navigation, yet is hindered by the system's high volume and error-prone d…
BenthicNet: A global compilation of seafloor images for deep learning applications
Scott C. Lowe, Benjamin Misiuk, Isaac Xu +26
Advances in underwater imaging enable collection of extensive seafloor image datasets necessary for monitoring important benthic ecosystems. The ability to collect seafloor imagery…
Variance-Reduced Stochastic Optimization for Efficient Inference of Hidden Markov Models
Evan Sidrow, Nancy Heckman, Alexandre Bouchard-Côté +3
Hidden Markov models (HMMs) are popular models to identify a finite number of latent states from sequential data. However, fitting them to large data sets can be computationally de…
Characterising menotactic behaviours in movement data using hidden Markov models
Ron R. Togunov, Andrew E. Derocher, Nicholas J. Lunn +1
1. Movement is the primary means by which animals obtain resources and avoid hazards. Most movement exhibits directional bias that is related to environmental features (taxis), suc…
Modelling multi-scale state-switching functional data with hidden Markov models
Evan Sidrow, Nancy Heckman, Sarah M. E. Fortune +3
Data sets comprised of sequences of curves sampled at high frequencies in time are increasingly common in practice, but they can exhibit complicated dependence structures that cann…