研究论文
Techniques for interpretable machine learning
Mengnan Du, Ninghao Liu, Xia Hu
Texas A&M University
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摘要与影响
摘要 · 完整
Uncovering the mysterious ways machine learning models make decisions.
逐年被引趋势
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关键指标
1,270
被引次数 · OpenAlex
101.22
领域内被引倍数
同类平均 = 1
同类平均 = 1
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引用位次
同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
41
参考文献
Google Scholar 与 OpenAlex 的被引统计范围不同，数值存在差异属正常。
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学术脉络
学科主题
计算机 / AIExplainable Artificial Intelligence (XAI)
Adversarial Robustness in Machine Learning · Machine Learning and Data Classification
参考文献 41
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
被引 7,512Kelvin Xu, Jimmy Ba, Ryan Kiros · arXiv (Cornell University) · 2015
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
被引 4,685Sebastian Bach, Alexander Binder, Grégoire Montavon · PLoS ONE · 2015
Deep neural networks are easily fooled: High confidence predictions for unrecognizable images
被引 3,336Anh‐Tu Nguyen, Jason Yosinski, Jeff Clune · 2015
此处列出前 3 条
引用本文 1,270
Deep Learning for Anomaly Detection
被引 2,659Guansong Pang, Chunhua Shen, Longbing Cao · ACM Computing Surveys · 2021
Deep Learning for Anomaly Detection: A Review
被引 1,731Guansong Pang, Chunhua Shen, Longbing Cao · Singapore Management University Institutional Knowledge (InK) (Singapore Management University) · 2020
Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy
被引 1,541Ben Shneiderman · International Journal of Human-Computer Interaction · 2020
按被引量排序，此处列出前 3 条