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Bayesian Case-Exclusion and Personalized Explanations for Sustainable Dairy Farming (Extended Abstract)

Authors: Eoin M. Kenny; E. Ruelle; Anne Geoghegan; Laurence Shalloo; Micheál O’Leary; Michael O'Donovan; Mohammed Temraz; +1 Authors

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, that combines predictive accuracy and explanations to improve user adoption. PBI-CBR’s key novelty is its use of Bayesian methods for case-base maintenance in a regression domain. Experiments report the tradeoff between predictive accuracy and explanatory capability for different variants of PBI-CBR, and how updating Bayesian priors each year improves performance.

Subjects by Vocabulary

Microsoft Academic Graph classification: Natural resource economics Computer science Bayesian probability Dairy farming

24 references, page 1 of 3

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[Hurtado-Uria et al., 2013] Cristina Hurtado-Uria, Deirdre Hennessy, Laurence Shalloo, Declan O'Connor, and Luc Delaby. Relationships between meteorological data and grass growth over time in the south of ireland. Irish Geography, 46(3):175-201, 2013. [OpenAIRE]

[Keane and Kenny, 2019] Mark T Keane and Eoin M Kenny. How case-based reasoning explains neural networks: A theoretical analysis of XAI using post-hoc explanation-byexample from a survey of ANN-CBR twin-systems. In International Conference on Case-Based Reasoning, pages 155-171. Springer, 2019.

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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