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Explainable, Interpretable and Transparent AI Systems

Explainable, Interpretable and Transparent AI Systems

B. K. Tripathy
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This book provides up-to-date information on latest advancements in the field of Explainable AI, which is the critical requirement of AI/ML/DL models. It provides examples, case studies, latest techniques, and applications from the domains of health care, finance, network security etc.
Kategori:
Computers - Artificial Intelligence (AI)
Tahun:
2025
Penerbit:
CRC Press
Bahasa:
english
File:
PDF, 30.49 MB
IPFS:
CID , CID Blake2b
english, 2025
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Istilah kunci

 
xai
systems
models
explainable
explanations
interpretable
decision
techniques
features
feature
transparent
lime
methods
decisions
prediction
figure
intelligence
explainability
users
algorithm
artificial
input
shap
model’s
transparency
algorithms
predictions
identify
interpretability
importance
analysis
network
specific
detection
neural
accuracy
dataset
bias
arxiv
recommendation
visualization
approach
values
method
agnostic
proposed
networks
complex
understanding
clustering
recommender
healthcare
conference
output
recommendations
challenges
fuzzy
classification
financial
behavior

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