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Twin-Systems to Explain Artificial Neural Networks using Case-Based Reasoning: Comparative Tests of Feature-Weighting Methods in ANN-CBR Twins for XAI
Research article (Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019) · cited 73× · AI/ML
Twin-Systems to Explain Artificial Neural Networks using Case-Based Reasoning: Comparative Tests of Feature-Weighting Methods in ANN-CBR Twins for XAI
Summary
Twin-Systems to Explain Artificial Neural Networks using Case-Based Reasoning: Comparative Tests of Feature-Weighting Methods in ANN-CBR Twins for XAI is a scholarly article[1].
Key Facts
Twin-Systems to Explain Artificial Neural Networks using Case-Based Reasoning: Comparative Tests of Feature-Weighting Methods in ANN-CBR Twins for XAI's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Twin-Systems to Explain Artificial Neural Networks using Case-Based Reasoning: Comparative Tests of Feature-Weighting Methods in ANN-CBR Twins for XAI. Retrieved May 24, 2026, from https://4ort.xyz/entity/twin-systems-to-explain-artificial-neural-networks-using-case-based-reasoning-comparative-tests-of-feature-weighting-met
MLA“Twin-Systems to Explain Artificial Neural Networks using Case-Based Reasoning: Comparative Tests of Feature-Weighting Methods in ANN-CBR Twins for XAI.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/twin-systems-to-explain-artificial-neural-networks-using-case-based-reasoning-comparative-tests-of-feature-weighting-met.
BibTeX@misc{4ortxyz_twin-systems-to-explain-artificial-neural-networks-using-case-based-reasoning-comparative-tests-of-feature-weighting-met_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Twin-Systems to Explain Artificial Neural Networks using Case-Based Reasoning: Comparative Tests of Feature-Weighting Methods in ANN-CBR Twins for XAI}}, year = {2026}, url = {https://4ort.xyz/entity/twin-systems-to-explain-artificial-neural-networks-using-case-based-reasoning-comparative-tests-of-feature-weighting-met}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Twin-Systems to Explain Artificial Neural Networks using Case-Based Reasoning: Comparative Tests of Feature-Weighting Methods in ANN-CBR Twins for XAI — https://4ort.xyz/entity/twin-systems-to-explain-artificial-neural-networks-using-case-based-reasoning-comparative-tests-of-feature-weighting-met (retrieved 2026-05-24)
