Widespread Increases in Future Wildfire Risk to Global Forest Carbon Offset Projects Revealed by Explainable AI

no code implementations • 3 May 2023 • Tristan Ballard, Matthew Cooper, Chris Lowrie, Gopal Erinjippurath

Carbon offset programs are critical in the fight against climate change.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI)

Can visualization alleviate dichotomous thinking? Effects of visual representations on the cliff effect

2 code implementations • 17 Feb 2020 • Jouni Helske, Satu Helske, Matthew Cooper, Anders Ynnerman, Lonni Besançon

Common reporting styles for statistical results in scientific articles, such as p-values and confidence intervals (CI), have been reported to be prone to dichotomous interpretations, especially with respect to the null hypothesis significance testing framework.

Other Statistics Human-Computer Interaction

The ACRV Picking Benchmark (APB): A Robotic Shelf Picking Benchmark to Foster Reproducible Research

1 code implementation • 17 Sep 2016 • Jürgen Leitner, Adam W. Tow, Jake E. Dean, Niko Suenderhauf, Joseph W. Durham, Matthew Cooper, Markus Eich, Christopher Lehnert, Ruben Mangels, Christopher Mccool, Peter Kujala, Lachlan Nicholson, Trung Pham, James Sergeant, Liao Wu, Fangyi Zhang, Ben Upcroft, Peter Corke

We present a new physical benchmark challenge for robotic picking: the ACRV Picking Benchmark (APB).