Predicting Grass Growth for Sustainable Dairy Farming: A CBR System Using Bayesian Case-Exclusion and Post-Hoc, Personalized Explanation-by-Example (XAI)

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Title: Predicting Grass Growth for Sustainable Dairy Farming: A CBR System Using Bayesian Case-Exclusion and Post-Hoc, Personalized Explanation-by-Example (XAI)
Authors: Kenny, Eoin M.Ruelle, ElodieGeoghegan, AnneKeane, Mark T.et al.
Permanent link: http://hdl.handle.net/10197/11072
Date: 9-Aug-2019
Online since: 2019-09-11T08:22:17Z
Funding Details: Department of Agriculture, Food and the Marine
Science Foundation Ireland
Type of material: Conference Publication
Publisher: Springer
Series/Report no.: Lecture Notes in Computer Science (LNCS, volume 11680)
Copyright (published version): 2019 Springer
Keywords: Recommender SystemsCase-based reasoningCBRBayesian analysisSmart agricultureCase exclusionXAI
DOI: 10.1007/978-3-030-29249-2_12
Language: en
Status of Item: Peer reviewed
Is part of: Bach, K., Marling, C. (eds.). Case-Based Reasoning Research and Development: 27th International Conference, ICCBR 2019 Otzenhausen, Germany, September 8-12, 2019 Proceedings
Conference Details: The 27th International Conference on Case-Based Reasoning and Development (ICCBR 2019), Oztenhausen, Germany, 8-12 2019
Appears in Collections:Computer Science Research Collection
Insight Research Collection

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