Fairness in Algorithmic Decision Making

Schedule
2022
Monday, January 3rd
12:00 AM	Achieving MAX-MIN Fair Cross-efficiency scores in Data Envelopment Analysis Sandro Radovanović, University of Belgrade Boris Delibašić, University of Belgrade Aleksandar Marković, University of Belgrade Milija Suknović, University of Belgrade Online 12:00 AM - 12:00 AM Visit Site
12:00 AM	Fair CRISP-DM: Embedding Fairness in Machine Learning (ML) Development Life Cycle Vivek Singh, University of Missouri - St. Louis Anshuman Singh, University of Missouri - St. Louis Kailash Joshi, University of Missouri - St. Louis Online 12:00 AM - 12:00 AM Visit Site
12:00 AM	Instance-dependent cost-sensitive learning: do we really need it? Toon Vanderschueren, KU Leuven Wouter Verbeke, Vrije Universiteit Brussel Bart Baesens, KU Leuven Tim Verdonck, University of Antwerp and KU Leuven Online 12:00 AM - 12:00 AM Visit Site
12:00 AM	Introduction to the Minitrack on Fairness in Algorithmic Decision Making Boris Delibašić, University of Belgrade Sandro Radovanović, University of Belgrade Online 12:00 AM - 12:00 AM Visit Site

Search