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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

Open access

Research article

First published 2026-1

Explainable machine learning for early diagnosis of esophageal cancer: A feature-enriched Light Gradient Boosting Machine framework with Shapley Additive Explanations and Local Interpretable Model-Agnostic Explanations interpretations

Adib Md. Ridwan, Khandaker Mohammad Mohi Uddin

Journal of International Medical Research

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

Interpretable machine learning models for predicting in-hospital mortality in patients with chronic critical illness and heart failure: A multicenter study

Min He, Yongqi Lin, Siyu Ren [...]

DIGITAL HEALTH

Retricted access

Research article

First published 2025-1

Designing a Glyph-Based Polar Chart to Interpret the Results of Machine Learning Models

Trung Nguyen, Davide Gentile, Greg A. Jamieson [...]

Ergonomics in Design: The Quarterly of Human Factors Applications

Retricted access

Research article

First published 2025-6

Practical model for flexural capacity of corroded PC structures based on interpretable machine learning

Lizhao Dai, Ping Wu, Hui Yang [...]

Advances in Structural Engineering

Open access

Research article

First published 2025-3

Interpretable Machine Learning Model to Predict Bone Cement Leakage in Percutaneous Vertebral Augmentation for Osteoporotic Vertebral Compression Fracture Based on SHapley Additive exPlanations

Yi-Li Hu, Pei-Yang Wang, Zhi-Yang Xie [...]

Global Spine Journal

Free access

Book review

First published 2024-6

Book review: Christoph Molnar. 2020. Interpretable Machine Learning: A Guide for Making Black Box Models Explainable

Rohan Kumar Sinha

Metamorphosis: A Journal of Management Research

Retricted access

Research article

First published 2026-5

An interpretable machine learning framework for modeling and analysis of swarm robot behaviors

Mohammed Al-Hubaishi, Wail Zita

Journal of High Speed Networks

Retricted access

Research article

First published 2024-7

Analyzing Freeway Safety Influencing Factors Using the CatBoost Model and Interpretable Machine-Learning Framework,SHAP

Jiaqi Li, Xuesong Wang, Xiaohan Yang [...]

Transportation Research Record: Journal of the Transportation Research Board

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