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Open access

Research article

First published 2020-7

A survey of surveys on the use of visualization for interpreting machine learning models

Angelos Chatzimparmpas, Rafael M. Martins, Ilir Jusufi [...]

Information Visualization

Open access

Research article

First published 2025-1

InterpretME: A tool for interpretations of machine learning models over knowledge graphs

Yashrajsinh Chudasama, Disha Purohit, Philipp D. Rohde [...]

Semantic Web: – Interoperability,Usability,Applicability

Retricted access

Research article

First published 2025-12

Interpretable machine learning for hotel demand prediction: A case study framework from Xiamen,China

Liyao Huang, Weimin Zheng, Suiwen (Sharon) Zou [...]

Tourism Economics

Retricted access

Research article

First published 2025

Interpretable machine learning for quantifying environmental and operational impacts on structural responses in long-span bridges

Tugang Xiao, Zhongkui Zhao, Yiming Liu [...]

Structural Health Monitoring

Retricted access

Research article

First published 2025-6

The Long-Term Theft Prediction in Beijing Using Machine Learning Algorithms: Comparison and Interpretation

Yanji Zhang, Liang Cai, Guangwen Song [...]

Crime & Delinquency

Retricted access

Research article

First published 2022-07

Forecasting venue popularity on location‐based services using interpretable machine learning

Lei Wang, Ram Gopal, Ramesh Shankar [...]

Production and Operations Management

Open access

Research article

First published 2025

Biomarker-based and interpretable machine learning framework for predicting pathological stage in gastric cancer: A retrospective analysis

Guanmo Liu, Sen Yang, Jie Li [...]

DIGITAL HEALTH

Open access

Research article

First published 2024

Interpretable machine learning for predicting chronic kidney disease progression risk

Jin-Xin Zheng, Xin Li, Jiang Zhu [...]

DIGITAL HEALTH

Open access

Research article

First published 2025

Prediction of acute kidney injury in intensive care unit patients based on interpretable machine learning

Li Zhang, Mingyu Li, Chengcheng Wang [...]

DIGITAL HEALTH

Open access

Research article

First published 2024-11

Interpretable Machine Learning for Mode Choice Modeling on Tracking-Based Revealed Preference Data

Victoria Dahmen, Simone Weikl, Klaus Bogenberger

Transportation Research Record: Journal of the Transportation Research Board

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