Evaluating the Quality of Machine Learning Explanations: A Survey on Methods and Metrics

An Artificial Intelligence Approach to Predict Gross Primary Productivity in the Forests of South Korea Using Satellite Remote Sensing Data

(2020) Bora Lee et al.   Forests

Explainable Matrix - Visualization for Global and Local Interpretability of Random Forest Classification Ensembles

(2020) Mario Popolin Neto et al.   IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

Causability and explainabilty of artificial intelligence in medicine

(2019) Andreas Holzinger et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

DARPA’s Explainable Artificial Intelligence (XAI) Program

(2019) David Gunning et al.   AI MAGAZINE

Machine Learning Interpretability: A Survey on Methods and Metrics

(2019) Diogo V. Carvalho et al.   Electronics

AHNG: Representation learning on attributed heterogeneous network

(2019) Mengyue Liu et al.   Information Fusion

Methods for interpreting and understanding deep neural networks

(2018) Grégoire Montavon et al.   DIGITAL SIGNAL PROCESSING

Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow

(2018) Kanit Wongsuphasawat et al.   IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

A Survey of Methods for Explaining Black Box Models

(2018) Riccardo Guidotti et al.   ACM COMPUTING SURVEYS

How AI can be a force for good:

(2018) Mariarosaria Taddeo et al.   SCIENCE

Peeking inside the black-box: A survey on Explainable Artificial Intelligence (XAI)

(2018) Amina Adadi et al.   IEEE Access

Explanation in artificial intelligence: Insights from the social sciences

(2018) Tim Miller   ARTIFICIAL INTELLIGENCE

Can we open the black box of AI?

(2016) Davide Castelvecchi   NATURE

Explanatory Preferences Shape Learning and Inference

(2016) Tania Lombrozo   TRENDS IN COGNITIVE SCIENCES

Measurable Decision Making with GSR and Pupillary Analysis for Intelligent User Interface

(2015) Jianlong Zhou et al.   ACM Transactions on Computer-Human Interaction

Improved Similarity Trees and their Application to Visual Data Classification

(2011) J. G. Paiva et al.   IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models

(2010) Johan Huysmans et al.   DECISION SUPPORT SYSTEMS