Case-based Reasoning
Case-Based Reasoning is a problem-solving paradigm in artificial intelligence that employs past problem-solution experiences, represented as cases, to address new problems through similarity-based retrieval, adaptation, and reuse of previously recorded solutions.
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Publications per year
2017–2026
355
2.1K
Machine learning in geosciences and remote sensing
David J. Lary, Amir H. Alavi, Amir H. Gandomi et al. · Geoscience Frontiers · 2015 · 1.1K citations · Full text
An introduction to case-based reasoning
Janet L. Kolodner · Artificial Intelligence Review · 1992 · 1K citations
Interpretable machine learning: Fundamental principles and 10 grand challenges
Cynthia Rudin, Chaofan Chen, Zhi Chen et al. · Statistics Surveys · 2022 · 844 citations · Full text
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Georgia Institute of Technology
Atlanta, United States
27 h-index
86 publications
7.1K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
22 h-index
79 publications
2.4K citations

Centre National de la Recherche Scientifique
Paris, France
20 h-index
71 publications
2.6K citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
19 h-index
48 publications
3.4K citations

University of Massachusetts Amherst
Amherst Center, United States
17 h-index
44 publications
2.4K citations
Artificial Intelligence Research Institute
Cerdanyola del Vallès, Spain
17 h-index
29 publications
7.3K citations

University of Auckland
Auckland, New Zealand
17 h-index
23 publications
1.6K citations
Seoul National University
Seoul, South Korea
16 h-index
51 publications
2.1K citations
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119 publications · 6.7K citations
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34 publications · 1.9K citations
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26 publications · 825 citations
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20 publications · 1.1K citations
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26 publications · 2.1K citations
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