Mixed-Type Imputation for Missing Data Credal Classification via Quality Matrices

Zuowei Zhang, Zhunga Liu, Hongpeng Tian, Arnaud Martin

How to cite:

Zuowei Zhang, Zhunga Liu, Hongpeng Tian, Arnaud Martin

"Mixed-Type Imputation for Missing Data Credal Classification via Quality Matrices"

EEE Transactions on Systems, Man, and Cybernetics: Systems ,

(2024):

1-14.

Authors:

Zuowei Zhang, Zhunga Liu, Hongpeng Tian, Arnaud Martin

Source:

EEE Transactions on Systems, Man, and Cybernetics: Systems ,

p.1-14

(2024)

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References

Arnaud Martin, Christophe Osswald

"Human Expert Fusion for Image Classification."

Information & Security: An International Journal

(2006):

122-143.

Field of application

Concepts and Implementation

Policy, strategy and doctrine

Technologies

C4ISR

Architectures

Modelling and Simulation

OR & Systems Analysis

Cryptography

Data mining

Deep Learning & AI

Emerging Technologies

ISIJ 55: Open Source Intelligence, Artificial Intelligence, and Human-centered Approaches to Cybersecurity and Countering Disinformation

Mixed-Type Imputation for Missing Data Credal Classification via Quality Matrices

The C-factor in the Cybersecurity Equation: The Importance of Student Cybersecurity Competitions

On Inequalities Bounding Imprecision and Nonspecificity Measures of Uncertainty

On the Effectiveness of Measures of Uncertainty of Basic Belief Assignments

Blockchain in Agriculture

Mixed-Type Imputation for Missing Data Credal Classification via Quality Matrices

Authors:

Source:

Field of application

Concepts and Implementation

Technologies