Interpretable Machine Learning for COVID-19: An Empirical Study on
Severity Prediction Task

Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task

30 September 2020

Dingchang Zheng

Papers citing "Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task"

13 / 13 papers shown

Title
DeepCOVIDNet: An Interpretable Deep Learning Model for Predictive Surveillance of COVID-19 Using Heterogeneous Features and their Interactions Ankit Ramchandani Chao Fan Ali Mostafavi 17 76 0 31 Jul 2020
Deep Learning for Screening COVID-19 using Chest X-Ray Images S. Basu Sushmita Mitra N. Saha 14 180 0 22 Apr 2020
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques Vijay Arya Rachel K. E. Bellamy Pin-Yu Chen Amit Dhurandhar Michael Hind ... Karthikeyan Shanmugam Moninder Singh Kush R. Varshney Dennis L. Wei Yunfeng Zhang XAI 15 391 0 06 Sep 2019
A Gentle Introduction to Deep Learning in Medical Image Processing Andreas Maier Christopher Syben Tobias Lasser Christian Riess PINN 19 430 0 12 Oct 2018
Towards Robust Interpretability with Self-Explaining Neural Networks David Alvarez-Melis Tommi Jaakkola MILM XAI 90 938 0 20 Jun 2018
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 253 2,248 0 24 Jun 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 220 21,459 0 22 May 2017
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li Xiuqiang He 73 2,625 0 13 Mar 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 328 3,742 0 28 Feb 2017
Model-Agnostic Interpretability of Machine Learning Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 57 835 0 16 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 284 16,765 0 16 Feb 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 118 18,922 0 20 Dec 2014
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 214 33,445 0 16 Oct 2013

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