Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Datasets
Press/Media
Activities
Fellowships, Honors, and Prizes
Impacts
Search by expertise, name or affiliation
An Explainable-AI Based Approach Towards Measuring Cognitive Reserve
Sifat Redwan Wahid
, Sabir Saheel
, Jack Quigley
,
Arshia Khan
Computer Science (Duluth)
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'An Explainable-AI Based Approach Towards Measuring Cognitive Reserve'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Cognitive Reserve
100%
Explainable AI
100%
AI Approach
100%
Age-related Changes
28%
Machine Learning-based Approach
28%
Brain Injury
14%
Brain Aging
14%
Cognitive Decline
14%
Mental Resilience
14%
Black Box
14%
Decision-making Process
14%
Google Scholar
14%
Machine Learning Models
14%
Lack of Transparency
14%
Brain Pathology
14%
Proxy Variables
14%
Proxy Model
14%
Model Transparency
14%
Clinical Adoption
14%
Psychology
Systematic Review
100%
Explainable Artificial Intelligence
100%
Cognitive Decline
50%
Learning Model
50%
Decision-Making Process
50%
Black Box
50%
Computer Science
Explainable Artificial Intelligence
100%
Cognitive Reserve
100%
Interpretability
28%
Machine Learning-Based Approach
28%
Literature Review
14%
Decision Making
14%
Machine Learning Model
14%
Neuroscience
Systematic Review
100%
Decision-Making Process
50%