Applying Rule Extraction & Rule Refinement techniques to (Blackbox) Classifiers-Reference-Cited by-同舟云学术

Applying Rule Extraction & Rule Refinement techniques to (Blackbox) Classifiers

Published:2015-10-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 8th International Conference on Knowledge Capture
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Author:

Cepukenas Julius¹,Lin Chenghua¹,Sleeman Derek²

Affiliation:

1. Computing Science Department, University of Aberdeen, Aberdeen, AB24 3FX, UK +44 1224 272296

2. Computing Science Department, University of Aberdeen, Aberdeen, AB24 3FX, UK +44 1224 272288

Funder

University of Aberdeen Development TRUST

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2815833.2816950

Reference14 articles.

1. Orthogonal Search-Based Rule Extraction (OSRE) for Trained Neural Networks: A Practical and Efficient Approach

2. Cepukenas J "Applying Rule Extraction & Rule Refinement techniques to Classifiers" Masters Thesis Computing Science Dept University of Aberdeen. (In Preparation). Cepukenas J "Applying Rule Extraction & Rule Refinement techniques to Classifiers" Masters Thesis Computing Science Dept University of Aberdeen. (In Preparation).

3. Tsukimoto H. (2000). Extracting Rules from Trained Neural Networks. IEEE Transactions on Neural Networks 11 377-389. 10.1109/72.839008 Tsukimoto H. (2000). Extracting Rules from Trained Neural Networks. IEEE Transactions on Neural Networks 11 377-389. 10.1109/72.839008

4. Martens D. Huysmans J. Setiono R. Vanthienen J. & Baesens B. (2008). Rule Extraction from Support Vector Machines: An Overview of Issues and Application in Credit Scoring. Studies in Computational Intelligence (SCI)(80) 33-63. Martens D. Huysmans J. Setiono R. Vanthienen J. & Baesens B. (2008). Rule Extraction from Support Vector Machines: An Overview of Issues and Application in Credit Scoring. Studies in Computational Intelligence (SCI)(80) 33-63.

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