A Survey on the Explainability of Supervised Machine Learning

A Survey on the Explainability of Supervised Machine Learning

16 November 2020

Papers citing "A Survey on the Explainability of Supervised Machine Learning"

16 / 66 papers shown

Title
Shallow decision trees for explainable $k$ -means clustering E. Laber Lucas Murtinho F. Oliveira 24 24 0 29 Dec 2021
Efficient Decompositional Rule Extraction for Deep Neural Networks Mateo Espinosa Zarlenga Z. Shams M. Jamnik 14 16 0 24 Nov 2021
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities Waddah Saeed C. Omlin XAI 36 415 0 11 Nov 2021
Training Neural Networks for Solving 1-D Optimal Piecewise Linear Approximation Hangcheng Dong Jing-Xiao Liao Yan Wang Yixin Chen Bingguo Liu Dong Ye Guodong Liu 57 0 0 14 Oct 2021
Fairness and underspecification in acoustic scene classification: The case for disaggregated evaluations Andreas Triantafyllopoulos M. Milling K. Drossos Björn W. Schuller 21 7 0 04 Oct 2021
Deep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning? Gregory B. Rehm Chao Wang I. Cortés-Puch Chen-Nee Chuah Jason Y. Adams 27 1 0 25 Sep 2021
Towards Explainable Scientific Venue Recommendations Bastian Schafermeier Gerd Stumme Tom Hanika 10 1 0 21 Sep 2021
A Comparison of Deep Saliency Map Generators on Multispectral Data in Object Detection Jens Bayer David Munch Michael Arens 3DPC 27 3 0 26 Aug 2021
Sample Observed Effects: Enumeration, Randomization and Generalization Andre F. Ribeiro CML 11 4 0 09 Aug 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts Gesina Schwalbe Bettina Finzel XAI 26 184 0 15 May 2021
Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information F. Simini Gianni Barlacchi Massimilano Luca Luca Pappalardo HAI 15 174 0 01 Dec 2020
Explainable Empirical Risk Minimization Linli Zhang Georgios Karakasidis Arina Odnoblyudova Leyla Dogruel Alex Jung 19 5 0 03 Sep 2020
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,923 0 17 Aug 2015
Node harvest N. Meinshausen 72 64 0 12 Oct 2009