Skip to main navigation
Skip to search
Skip to main content
Manipal Academy of Higher Education, Manipal, India Home
Help & FAQ
Home
Profiles
Research units
Research output
Equipment
Search by expertise, name or affiliation
Explainable and Fair AI: Balancing Performance in Financial and Real Estate Machine Learning Models
Deepak Bhaskar Acharya
,
B. Divya
*
, Karthigeyan Kuppan
*
Corresponding author for this work
Manipal Institute of Technology, Manipal
Research output
:
Contribution to journal
›
Article
›
peer-review
27
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Explainable and Fair AI: Balancing Performance in Financial and Real Estate Machine Learning Models'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Computer Science
Real Estate
100%
Artificial Intelligence
100%
Machine Learning
100%
Learning System
100%
World Application
33%
Data Scientist
33%
Financial Sector
33%
Interpretability
33%
Feature Individual
33%
XGBoost
33%
Financial Decision
33%
Decision-Making
33%
Regulatory Requirement
33%
Shapley Additive Explanation
33%
INIS
performance
100%
transparency
100%
machine learning
100%
applications
33%
data
33%
prediction
33%
additives
33%
prices
33%
accuracy
33%
legal aspects
33%
houses
33%
datasets
33%
decision making
33%
loans
33%