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

Author(s)
Kenny, Eoin M.  
Ruelle, Elodie  
Geoghegan, Anne  
Keane, Mark T.  
et al.  
Uri
http://hdl.handle.net/10197/11072
Date Issued
2019-08-09
Date Available
2019-09-11T08:22:17Z
Embargo end date
2020-09-12
Sponsorship
Department of Agriculture, Food and the Marine
Science Foundation Ireland
Other Sponsorship
Insight Research Centre
Type of Material
Conference Publication
Publisher
Springer
Series
Lecture Notes in Computer Science (LNCS, volume 11680)
Copyright (Published Version)
2019 Springer
Subjects

Recommender Systems

Case-based reasoning

CBR

Bayesian analysis

Smart agriculture

Case exclusion

XAI

DOI
10.1007/978-3-030-29249-2_12
Language
English
Status of Item
Peer reviewed
Journal
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
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
No Thumbnail Available
Name

insight_publication.pdf

Size

1.03 MB

Format

Adobe PDF

Checksum (MD5)

32b4a1ce431813b705b0cc9440f70e0c

Owning collection
Insight Research Collection
Mapped collections
Climate Change Collection•
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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