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A hybrid machine learning framework for analyzing human decision making
  through learning preferences

A hybrid machine learning framework for analyzing human decision making through learning preferences

4 June 2019
Mengzhuo Guo
Qingpeng Zhang
Xiuwu Liao
Youhua Chen
Daniel Dajun Zeng
ArXivPDFHTML

Papers citing "A hybrid machine learning framework for analyzing human decision making through learning preferences"

4 / 4 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
19
84
0
20 Jun 2022
Using Shapley Values and Variational Autoencoders to Explain Predictive
  Models with Dependent Mixed Features
Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features
Lars Henry Berge Olsen
I. Glad
Martin Jullum
K. Aas
TDI
FAtt
32
17
0
26 Nov 2021
A Comprehensive Survey of Machine Learning Applied to Radar Signal
  Processing
A Comprehensive Survey of Machine Learning Applied to Radar Signal Processing
Ping Lang
Xiongjun Fu
M. Martorella
Jian Dong
Rui Qin
Xianpeng Meng
M. Xie
26
39
0
29 Sep 2020
Machine Learning with the Sugeno Integral: The Case of Binary
  Classification
Machine Learning with the Sugeno Integral: The Case of Binary Classification
Sadegh Abbaszadeh
Eyke Hüllermeier
13
11
0
06 Jul 2020
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