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Example-Based Explainability in Machine Learning
Ikhtiyor Nematov
, Dimitris Sacharidis
, Katja Hose
, Tomer Sagi
Research output
:
Chapter in Book/Report/Conference proceeding
›
Chapter
›
peer-review
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Dive into the research topics of 'Example-Based Explainability in Machine Learning'. Together they form a unique fingerprint.
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Keyphrases
Behavioral Model
100%
Explainable Machine Learning
100%
Example-based
100%
Example-based Method
100%
Causal Link
50%
Misalignment
50%
Machine Learning Models
50%
Training Data
50%
Feature-based
50%
Data Quality
50%
Machine Learning System
50%
User Intention
50%
Explainability
50%
Comprehensive Examination
50%
User-centered
50%
Data Quality Problems
50%
User Data
50%
Feature Model
50%
Data Refinement
50%
Biased Data
50%
Model Training
50%
High Stakes
50%
XAI Models
50%
Model Data
50%
Model Decision
50%
Data Behavior
50%
Example-based Approach
50%
Intent-aware
50%
Explainable AI (XAI) Techniques
50%
Model Debugging
50%
Data Quality Model
50%
Model Fidelity
50%
Computer Science
Explainable Artificial Intelligence
100%
Machine Learning
100%
Learning System
100%
Research Direction
25%
Decision-Making
25%
Behavior Model
25%
Training Model
25%
Interpretability
25%
Training Data
25%
Machine Learning Model
25%
Data Quality Issue
25%
Material Science
Explainable Artificial Intelligence
100%