Improving detection of short-duration fishing behaviour in vessel tracks by feature engineering of training data

Ending hide and seek at sea

(2016) Douglas J. McCauley et al.   SCIENCE

Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning

(2016) Erico N. de Souza et al.   PLoS One

Deriving high-resolution spatiotemporal fishing effort of large-scale longline fishery from vessel monitoring system (VMS) data and validated by observer data

(2014) Shui-Kai Chang et al.   CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES

marmap: A Package for Importing, Plotting and Analyzing Bathymetric and Topographic Data in R

(2013) Eric Pante et al.   PLoS One

Hidden Markov Models: The Best Models for Forager Movements?

(2013) Rocio Joo et al.   PLoS One

Implications of using alternative methods of vessel monitoring system (VMS) data analysis to describe fishing activities and impacts

(2012) G. I. Lambert et al.   ICES JOURNAL OF MARINE SCIENCE

When behaviour reveals activity: Assigning fishing effort to métiers based on VMS data using artificial neural networks

(2011) Tommaso Russo et al.   FISHERIES RESEARCH

Accuracy of VMS data from Norwegian demersal stern trawlers for estimating trawled areas in the Barents Sea

(2011) K. L. Skaar et al.   ICES JOURNAL OF MARINE SCIENCE

Optimization of an artificial neural network for identifying fishing set positions from VMS data: An example from the Peruvian anchovy purse seine fishery

(2010) Rocío Joo et al.   ECOLOGICAL MODELLING

New insights in interpolating fishing tracks from VMS data for different métiers

(2010) Tommaso Russo et al.   FISHERIES RESEARCH

Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data

(2009) Niels T. Hintzen et al.   FISHERIES RESEARCH

Patterns in the spatial distribution of Peruvian anchovy (Engraulis ringens) revealed by spatially explicit fishing data

(2008) Sophie Bertrand et al.   PROGRESS IN OCEANOGRAPHY