ThyroNet-X4 genesis: an advanced deep learning model for auxiliary diagnosis of thyroid nodules’ malignancy by Xiaoxue Wang, Yupeng Niu, Hongli Liu, Fa Tian, Qiang Zhang, Yimeng Wang, Yeju Wang, Yijia Li

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Knowledge Driven Machine Learning Towards Interpretable Intelligent Prognostics and Health Management: Review and Case Study by Ruqiang Yan, Zheng Zhou, Zuogang Shang, Zhiying Wang, Chenye Hu, Yasong Li, Yuangui Yang, Xuefeng Chen, Robert X. Gao

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IRMAOC: an interpretable role mining algorithm based on overlapping clustering by Yaqi Yang, Jun’e Li, Tao Zhang, Lu Chen, Guirong Huang, Zhuo Lv

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Ontologies in modelling and analysing of big genetic data by N. L. Podkolodnyy, O. A. Podkolodnaya, V. A. Ivanisenko, M. A. Marchenko

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Attention-guided convolutional network for bias-mitigated and interpretable oral lesion classification by Adeetya Patel, Camille Besombes, Theerthika Dillibabu, Mridul Sharma, Faleh Tamimi, Maxime Ducret, Peter Chauvin, Sreenath Madathil

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Innovative Framework for Historical Architectural Recognition in China: Integrating Swin Transformer and Global Channel–Spatial Attention Mechanism by Jiade Wu, Yang Ying, Yigao Tan, Zhuliang Liu

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Warped matrix-variate Gaussian processes with structured kernels for multi-step-ahead driving behaviour prediction by Seiya Takano, Tomohiko Jimbo

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Editorial: Artificial intelligence applications for cancer diagnosis in radiology by Abhirup Banerjee, Abhirup Banerjee, Hongming Shan, Ruibin Feng

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HISTORICAL NARRATIVE: CONSTITUENT FEATURES AND LINGUISTIC PROPERTIES by Olga A. Leontovich, Anna A. Khanova

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Interpretable flash flood susceptibility mapping in Yarlung Tsangpo River Basin using H2O Auto-ML by Fei He, Suxia Liu, Xingguo Mo, Zhonggen Wang

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Credit Risk Modeling Using Interpreted XGBoost by Marcin Hernes, Jędrzej Adaszyński, Piotr Tutak

Subjects: “…machine learning interpretability…”
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Generalized Grad-CAM attacking method based on adversarial patch by Nianwen SI, Wenlin ZHANG, Dan QU, Heyu CHANG, Shengxiang LI, Tong NIU

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Enhancing Interpretability of Neural Compact Models: Toward Reliable Device Modeling by Chanwoo Park, Hyunbo Cho, Jungwoo Lee

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On the use of kolmogorov–arnold networks for adapting wind numerical weather forecasts with explainability and interpretability: application to madeira international airport by Décio Alves, Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias

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How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences by Shijie Jiang, Lily‐belle Sweet, Georgios Blougouras, Alexander Brenning, Wantong Li, Markus Reichstein, Joachim Denzler, Wei Shangguan, Guo Yu, Feini Huang, Jakob Zscheischler

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Assessing the performance and interpretability of the CNN-LSTM-Attention model for daily streamflow forecasting in typical basins of the eastern Qinghai-Tibet Plateau by Chuchu Zhang, Yuyan Zhou, Fan Lu, Jianwei Liu, Jiayue Zhang, Zeying Yin, Mengyi Ji, Baoqi Li

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Climate Impact on Evapotranspiration in the Yellow River Basin: Interpretable Forecasting with Advanced Time Series Models and Explainable AI by Sheheryar Khan, Huiliang Wang, Umer Nauman, Rabia Dars, Muhammad Waseem Boota, Zening Wu

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CSTN: A cross-region crop mapping method integrating self-training and contrastive domain adaptation by Shuwen Peng, Liqiang Zhang, Rongchang Xie, Ying Qu

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An Interpretable Prediction Method for Tobacco Drying Process Based on CGTNN by Wencai Wang, Chen Yang, Wenwei Niu, Sidi Lin, Qiang Gao, Zhe Cao, Jianning Chen, Jianzhong Li, Zhengkui Li

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Graph Neural Networks in Brain Connectivity Studies: Methods, Challenges, and Future Directions by Hamed Mohammadi, Waldemar Karwowski

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