@inbook{3af8a479d78c474d8e384e1ca9c29124,
title = "Bayesian case-exclusion and personalized explanations for sustainable dairy farming (extended abstract)",
abstract = "Smart agriculture (SmartAg) has emerged as a rich domain for AI-driven decision support systems (DSS); however, it is often challenged by user-adoption issues. This paper reports a case-based reasoning (CBR) system, PBI-CBR, that predicts grass growth for dairy farmers, combining predictive accuracy and explanations to improve user adoption. PBI-CBR's novelty lies in the use of Bayesian methods for case-base maintenance in a regression domain. Experiments report the tradeoff between predictive accuracy and explanatory capability for variants of PBI-CBR, and how updating Bayesian priors each year improves performance.",
author = "Kenny, \{Eoin M.\} and Elodie Ruelle and Anne Geoghegan and Laurence Shalloo and Miche{\'a}l O'Leary and Michael O'Donovan and Mohammed Temraz and Keane, \{Mark T.\}",
note = "Publisher Copyright: {\textcopyright} 2020 Inst. Sci. inf., Univ. Defence in Belgrade. All rights reserved.; 29th International Joint Conference on Artificial Intelligence, IJCAI 2020 ; Conference date: 01-01-2021",
year = "2020",
language = "English",
series = "IJCAI International Joint Conference on Artificial Intelligence",
publisher = "International Joint Conferences on Artificial Intelligence",
pages = "4740--4744",
editor = "Christian Bessiere",
booktitle = "Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020",
address = "United States",
}
