相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Regulating Autonomous Systems: Beyond Standards
David Danks et al.
IEEE INTELLIGENT SYSTEMS (2017)
Prediction and explanation in social systems
Jake M. Hofman et al.
SCIENCE (2017)
Evaluating the Visualization of What a Deep Neural Network Has Learned
Wojciech Samek et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2017)
Learning From Explanations Using Sentiment and Advice in RL
Samantha Krening et al.
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS (2017)
Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation
Sandra Wachter et al.
INTERNATIONAL DATA PRIVACY LAW (2017)
The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables
Himabindu Lakkaraju et al.
KDD'17: PROCEEDINGS OF THE 23RD ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2017)
Visualizing Deep Convolutional Neural Networks Using Natural Pre-images
Aravindh Mahendran et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2016)
INTERPRETABLE CLASSIFIERS USING RULES AND BAYESIAN ANALYSIS: BUILDING A BETTER STROKE PREDICTION MODEL
Benjamin Letham et al.
ANNALS OF APPLIED STATISTICS (2015)
Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation
Alex Goldstein et al.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2015)
Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission
Rich Caruana et al.
KDD'15: PROCEEDINGS OF THE 21ST ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2015)
A multidisciplinary survey on discrimination analysis
Andrea Romei et al.
KNOWLEDGE ENGINEERING REVIEW (2014)
On the interpretation of weight vectors of linear models in multivariate neuroimaging
Stefan Haufe et al.
NEUROIMAGE (2014)
Using sensitivity analysis and visualization techniques to open black box data mining models
Paulo Cortez et al.
INFORMATION SCIENCES (2013)
The Computerized Adaptive Diagnostic Test for Major Depressive Disorder (CAD-MDD): A Screening Tool for Depression
Robert D. Gibbons et al.
JOURNAL OF CLINICAL PSYCHIATRY (2013)
Reverse Engineering the Neural Networks for Rule Extraction in Classification Problems
M. Gethsiyal Augasta et al.
NEURAL PROCESSING LETTERS (2012)
PROTOTYPE SELECTION FOR INTERPRETABLE CLASSIFICATION
Jacob Bien et al.
ANNALS OF APPLIED STATISTICS (2011)
Performance of classification models from a user perspective
David Martens et al.
DECISION SUPPORT SYSTEMS (2011)
An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models
Johan Huysmans et al.
DECISION SUPPORT SYSTEMS (2011)
Building comprehensible customer churn prediction models with advanced rule induction techniques
Wouter Verbeke et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Comprehensible credit scoring models using rule extraction from support vector machines
David Martens et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2007)
Confident interpretation of Bayesian decision tree ensembles for clinical applications
Vitaly Schetinin et al.
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE (2007)
Predicting post-synaptic activity in proteins with data mining
GL Pappa et al.
BIOINFORMATICS (2005)
Illuminating the black box: a randomization approach for understanding variable contributions in artificial neural networks
JD Olden et al.
ECOLOGICAL MODELLING (2002)
Sensitivity analysis for importance assessment
A Saltelli
RISK ANALYSIS (2002)
分享论文
