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Monotonic Neural Additive Models: Pursuing Regulated Machine Learning
  Models for Credit Scoring

Monotonic Neural Additive Models: Pursuing Regulated Machine Learning Models for Credit Scoring

21 September 2022
Dangxing Chen
Weicheng Ye
    FaML
ArXivPDFHTML

Papers citing "Monotonic Neural Additive Models: Pursuing Regulated Machine Learning Models for Credit Scoring"

6 / 6 papers shown
Title
Explainable Automatic Grading with Neural Additive Models
Explainable Automatic Grading with Neural Additive Models
Aubrey Condor
Z. Pardos
ELM
20
2
0
01 May 2024
Neural Additive Image Model: Interpretation through Interpolation
Neural Additive Image Model: Interpretation through Interpolation
Arik Reuter
Anton Thielmann
Benjamin Saefken
DiffM
22
1
0
06 Mar 2024
Can I Trust the Explanations? Investigating Explainable Machine Learning
  Methods for Monotonic Models
Can I Trust the Explanations? Investigating Explainable Machine Learning Methods for Monotonic Models
Dangxing Chen
FAtt
LRM
11
1
0
23 Sep 2023
A Comprehensive Review on Financial Explainable AI
A Comprehensive Review on Financial Explainable AI
Wei Jie Yeo
Wihan van der Heever
Rui Mao
Erik Cambria
Ranjan Satapathy
G. Mengaldo
XAI
AI4TS
24
15
0
21 Sep 2023
How to address monotonicity for model risk management?
How to address monotonicity for model risk management?
Dangxing Chen
Weicheng Ye
16
5
0
28 Apr 2023
Monotonicity for AI ethics and society: An empirical study of the
  monotonic neural additive model in criminology, education, health care, and
  finance
Monotonicity for AI ethics and society: An empirical study of the monotonic neural additive model in criminology, education, health care, and finance
Dangxing Chen
Luyao Zhang
SyDa
13
6
0
17 Jan 2023
1