7 papers
Impact Range Assessment (IRA): An Interpretable Sensitivity Measure for Regression Modelling
Jihao You, Dan Tulpan, Jiaojiao Diao +1
While regression models capture the relationship between predictors and the response variable, they often lack intuitive accompanying methods to understand the influence of predict…
GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction
Eya Cherif, Arthur Ouaknine, Luke A. Brown +7
Plant traits such as leaf carbon content and leaf mass are essential variables in the study of biodiversity and climate change. However, conventional field sampling cannot feasibly…
Behavior-Specific Filtering for Enhanced Pig Behavior Classification in Precision Livestock Farming
Zhen Zhang, Dong Sam Ha, Gota Morota +1
This study proposes a behavior-specific filtering method to improve behavior classification accuracy in Precision Livestock Farming. While traditional filtering methods, such as wa…
Website visits can predict angler presence using machine learning
Julia S. Schmid, Sean Simmons, Mark A. Lewis +2
Understanding and predicting recreational angler effort is important for sustainable fisheries management. However, conventional methods of measuring angler effort, such as surveys…
Analyzing recreational fishing effort -- Gender differences and the impact of Covid-19
Julia S. Schmid, Sean Simmons, Mark S. Poesch +2
Recreational fishing is an important economic driver and provides multiple social benefits. To predict fishing activity, identifying variables related to variation, such as gender…
Fungal Genetic Variants in Oceanic Environments
Sade A. Davenport, Scott H. Harrison
Comparing specific types of organisms as they are found across environmental conditions has helped inform how genes and gene products of these organisms relate to phenotypes and ad…