Journal of Inflammation ResearchJunshuang Guo,1,2 Ruike Zhang,1 Ruirui Dong,1 Fan Yang,1 Yating Wang,1 Wang Miao1 1Neuro-Intensive Care Unit of the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China; 2Department of Immunology ...
Guo J +5 more
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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. [PDF]
J Int Med ResRidwan AM, Mohi Uddin KM.
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The impact of physical exercise on adolescent psychological resilience: an empirical analysis based on deep neural networks. [PDF]
Front PsycholChen Y, Song J, Zhao G, Fu J.
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The SHAP dependence plot for features in the GBM model.
Lang Gao (12963876) +7 more
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A PI-Dual-STGCN Fault Diagnosis Model Based on the SHAP-LLM Joint Explanation Framework. [PDF]
Sensors (Basel)Zhao Z, Ye S, Qi L, Ni H, Fei S, Tong Z.
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ADAPT-IDS: SELF LEARNING ANOMALY DETECTION WITH DYNAMIC THRESHOLDING AND SHAP INTERPRETABILITY
Ayesha Bashir, Dr. Jawaid Iqbal, Adil Elahi, Azeem Akram
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Revealing Nonlinear Relationships and Thresholds of Human Activities and Climate Change on Ecosystem Services in Anhui Province Based on the XGBoost–SHAP Model [PDF]
Lei Zhang +3 more
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Exploring the impact of ICT interaction on students' creative thinking across performance levels: an explainable AI perspective. [PDF]
Front PsycholCai X, Bi Y, Feng Y.
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An ultrasound-based machine learning model for predicting pelvic adhesions: A SHAP-enhanced XGBoost approach. [PDF]
Digit HealthHuang Y +5 more
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