no code implementations • 17 Jul 2023 • Ajaya Adhikari, Steven Vethman, Daan Vos, Marc Lenz, Ioana Cocu, Ioannis Tolios, Cor J. Veenman
For skills-based matching, it is unclear if and how a shift in the gender distribution, which we call gender mobility, between occupations will be effected.
no code implementations • 24 Feb 2023 • Solomiia Kurchaba, Jasper van Vliet, Fons J. Verbeek, Cor J. Veenman
It is based on a proposed regression model predicting the amount of $\text{NO}_\text{2}$ that is expected to be produced by a ship with certain properties operating in the given atmospheric conditions.
1 code implementation • 12 Dec 2022 • Erwin Walraven, Ajaya Adhikari, Cor J. Veenman
Information about conditions under which the classifier is able to support the decision maker is not available, while for instance information about when the system is not able to differentiate classes can be very helpful.
no code implementations • 14 Mar 2022 • Solomiia Kurchaba, Jasper van Vliet, Fons J. Verbeek, Jacqueline J. Meulman, Cor J. Veenman
This work is a crucial step toward the development of an automated procedure for global ship emission monitoring using remote sensing data.
1 code implementation • 18 Oct 2021 • António Pereira Barata, Frank W. Takes, H. Jaap van den Herik, Cor J. Veenman
When dealing with sensitive data in automated data-driven decision-making, an important concern is to learn predictors with high performance towards a class label, whilst minimising for the discrimination towards any sensitive attribute, like gender or race, induced from biased data.