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QXAI: Explainable AI Framework for Quantitative Analysis in Patient
  Monitoring Systems

QXAI: Explainable AI Framework for Quantitative Analysis in Patient Monitoring Systems

19 September 2023
T. Shaik
Xiaohui Tao
Haoran Xie
Lin Li
Juan D. Velásquez
Niall Higgins
ArXivPDFHTML

Papers citing "QXAI: Explainable AI Framework for Quantitative Analysis in Patient Monitoring Systems"

6 / 6 papers shown
Title
Stop ordering machine learning algorithms by their explainability! A
  user-centered investigation of performance and explainability
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability
L. Herm
Kai Heinrich
Jonas Wanner
Christian Janiesch
26
86
0
20 Jun 2022
Reviewing the Need for Explainable Artificial Intelligence (xAI)
Reviewing the Need for Explainable Artificial Intelligence (xAI)
Julie Gerlings
Arisa Shollo
Ioanna D. Constantiou
42
73
0
02 Dec 2020
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
975
21,815
0
22 May 2017
Learning Important Features Through Propagating Activation Differences
Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar
Peyton Greenside
A. Kundaje
FAtt
182
3,865
0
10 Apr 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
1.0K
16,931
0
16 Feb 2016
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
513
27,263
0
01 Sep 2014
1