GAMI-Net: An explainable neural network based on generalized additive models with structured interactions

Towards interpretable and robust hand detection via pixel-wise prediction

(2020) Dan Liu et al.   PATTERN RECOGNITION

Adaptive iterative attack towards explainable adversarial robustness

(2020) Yucheng Shi et al.   PATTERN RECOGNITION

Enhancing Explainability of Neural Networks Through Architecture Constraints

(2020) Zebin Yang et al.   IEEE Transactions on Neural Networks and Learning Systems

Definitions, methods, and applications in interpretable machine learning

(2019) W. James Murdoch et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Adversarial Attack Type I: Cheat Classifiers by Significant Changes

(2019) Sanli Tang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Explaining nonlinear classification decisions with deep Taylor decomposition

(2017) Grégoire Montavon et al.   PATTERN RECOGNITION

A lasso for hierarchical interactions

(2013) Jacob Bien et al.   ANNALS OF STATISTICS

Structured variable selection and estimation

(2010) Ming Yuan et al.   Annals of Applied Statistics

Variable Selection With the Strong Heredity Constraint and Its Oracle Property

(2010) Nam Hee Choi et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Sparse additive models

(2009) Pradeep Ravikumar et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY