Measuring Interpretability for Different Types of Machine Learning Models - researchr publication authors

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Qing Zhou, Fenglu Liao, Chao Mou, Ping Wang. Measuring Interpretability for Different Types of Machine Learning Models. In Mohadeseh Ganji, Lida Rashidi, Benjamin C. M. Fung, Can Wang 0005, editors, Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2018 Workshops, BDASC, BDM, ML4Cyber, PAISI, DaMEMO, Melbourne, VIC, Australia, June 3, 2018, Revised Selected Papers. Volume 11154 of Lecture Notes in Computer Science, pages 295-308, Springer, 2018. [doi]

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