ASSOCIATION RULES IN RANDOM FOREST FOR THE MOST INTERPRETABLE MODEL by Hafizah Ilma, Khairil Anwar Notodiputro, Bagus Sartono

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Integrating SHAP analysis with machine learning to predict postpartum hemorrhage in vaginal births by Zixuan Song, Hong Lin, Mengyuan Shao, Xiaoxue Wang, Xueting Chen, Yangzi Zhou, Dandan Zhang

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MultiCycPermea: accurate and interpretable prediction of cyclic peptide permeability using a multimodal image-sequence model by Zixu Wang, Yangyang Chen, Yifan Shang, Xiulong Yang, Wenqiong Pan, Xiucai Ye, Tetsuya Sakurai, Xiangxiang Zeng

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Interpretable model for rockburst intensity prediction based on Shapley values-based Optuna-random forest by Yaxi Shen, Shunchuan Wu, Yongbing Wang, Jiaxin Wang, Zhiquan Yang

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Investigation on clinical risk factors of bladder lesion by machine learning based interpretable model by Yunxin Wang, Jiachuang Li, Yunfeng Song, Hongguo Wei, Zejun Yan, Shuo Chen, Zhe Zhang

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Development of an interpretable QSPR model to predict the octanol-water partition coefficient based on three artificial intelligence algorithms by Ao Yang, Shirui Sun, Lu Qi, Zong Yang Kong, Jaka Sunarso, Weifeng Shen

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Establishment of interpretable cytotoxicity prediction models using machine learning analysis of transcriptome features by You Wu, Ke Tang, Chunzheng Wang, Hao Song, Fanfan Zhou, Ying Guo

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Interpreting Temporal Shifts in Global Annual Data Using Local Surrogate Models by Shou Nakano, Yang Liu

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Web-based machine learning application for interpretable prediction of prolonged length of stay after lumbar spinal stenosis surgery: a retrospective cohort study with explainable... by Paierhati Yasheng, Paierhati Yasheng, Alimujiang Yusufu, Yasenjiang Yimiti, Haopeng Luan, Cong Peng, Xinghua Song

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Aerospace Equipment Fault Diagnosis Method Based on Fuzzy Fault Tree Analysis and Interpretable Interval Belief Rule Base by Mingxian Long, Hailong Zhu, Guangling Zhang, Wei He

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An AI explained systematic modular approach for enhanced Electricity Theft Detection for urbanized Smart Grid environment by Muhammad Ammar, Nadeem Javaid, Ali Arishi

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A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME by Ahmed M. Salih, Zahra Raisi‐Estabragh, Ilaria Boscolo Galazzo, Petia Radeva, Steffen E. Petersen, Karim Lekadir, Gloria Menegaz

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A hybrid long short-term memory with generalized additive model and post-hoc explainable artificial intelligence with causal inference for air pollutants prediction in Kimberley, S... by Israel Edem Agbehadji, Ibidun Christiana Obagbuwa

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An explainable AI-based hybrid machine learning model for interpretability and enhanced crop yield prediction by Anuradha Yenkikar, Ved Prakash Mishra, Manish Bali, Tabassum Ara

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Building Safer Social Spaces: Addressing Body Shaming with LLMs and Explainable AI by Sajedeh Talebi, Neda Abdolvand

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Transparent brain tumor detection using DenseNet169 and LIME by Lincy Annet Abraham, Gopinath Palanisamy, Goutham Veerapu

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Interpretable Deep Learning for Efficient Code Smell Prioritization in Software Development by Maaeda M. Rashid, Mohd Hafeez Osman, Khaironi Yatim Sharif, Hazura Zulzalil

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Vision-Language Model-Based Local Interpretable Model-Agnostic Explanations Analysis for Explainable In-Vehicle Controller Area Network Intrusion Detection by Jaeseung Lee, Jehyeok Rew

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Towards transparency in AI: Explainable bird species image classification for ecological research by Samparthi V.S. Kumar, Hari Kishan Kondaveeti

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A Hybrid Approach to Credit Risk Assessment Using Bill Payment Habits Data and Explainable Artificial Intelligence by Cem Bulut, Emel Arslan

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