DRPM: An advanced predictive model for early diabetes detection and risk stratification by Fulei Nie, Xiaoming Song, Wei Chen

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Application of Machine Learning Models in Social Sciences: Managing Nonlinear Relationships by Theodoros Kyriazos, Mary Poga

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Explainable Climate-Based Time Series Modeling for Predicting Chemical Compositions in Tobacco Leaves by Hong He, Yunwei Zhang, Bin Li, Chengjin Tao

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Explainable Artificial Intelligence in Radiological Cardiovascular Imaging—A Systematic Review by Matteo Haupt, Martin H. Maurer, Rohit Philip Thomas

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Machine learning classification meets migraine: recommendations for study evaluation by Igor Petrušić, Andrej Savić, Katarina Mitrović, Nebojša Bačanin, Gabriele Sebastianelli, Daniele Secci, Gianluca Coppola

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A systematic review on the integration of explainable artificial intelligence in intrusion detection systems to enhancing transparency and interpretability in cybersecurity by Vincent Zibi Mohale, Ibidun Christiana Obagbuwa

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Interpretable Machine Learning Framework for Non-Destructive Concrete Strength Prediction with Physics-Consistent Feature Analysis by Teerapun Saeheaw

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An Empirical Comparison of Machine Learning and Deep Learning Models for Automated Fake News Detection by Yexin Tian, Shuo Xu, Yuchen Cao, Zhongyan Wang, Zijing Wei

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Feature engineering through two-level genetic algorithm by Aditi Gulati, Armin Felahatpisheh, Camilo E. Valderrama

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Machine learning prediction and interpretability analysis of high-risk chest pain: a study from the MIMIC-IV database by Hongyi Chen, Haiyang Song, Hongyu Huang, Xiaojun Fang, Huang Chen, Qingqing Yang, Junyu Zhang, Wenjun Ding, Zheng Gong, Jun Ke

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Trade-offs between machine learning and deep learning for mental illness detection on social media by Zhanyi Ding, Zhongyan Wang, Yeyubei Zhang, Yuchen Cao, Yunchong Liu, Xiaorui Shen, Yexin Tian, Jianglai Dai

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Interpretable multi-label classification model for predicting post-anesthesia care unit complications: a prospective cohort study by Guoting Ma, Wenjun Yan, Zunqiang Zhao, Yanjia Li, Lingkai Wang

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Hybrid Metaheuristic Optimized Random Forest Models for Predicting Compressive Strength of Alkali Activated Concrete by Mana Alyami, Muhammad Faisal Javed, Irfan Ullah, Hisham Alabduljabbar, Furqan Ahmad

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Interpretable noninvasive diagnosis of tuberculous pleural effusion using LGBM and SHAP: development and clinical application of a machine learning model by Bihua Yao, Xingyu Yu, Liannv Qiu, Er-min Gu, Siyu Mao, Lei Jiang, Jijun Tong, Jianguo Wu

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Stroke Detection in Brain CT Images Using Convolutional Neural Networks: Model Development, Optimization and Interpretability by Hassan Abdi, Mian Usman Sattar, Raza Hasan, Vishal Dattana, Salman Mahmood

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Integrating traditional and non-traditional model risk frameworks in credit scoring by Hendrik A. du Toit, Willem D. Schutte, Helgard Raubenheimer

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An integrated data-driven and causality crash severity model by Yuanyuan Xiao, Zongtao Duan

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Prediction of Thermal and Optical Properties of Oxyfluoride Glasses Based on Interpretable Machine Learning by Yuhao Xie, Xiangfu Wang

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Multiple Regression with Transformations and Variable Selection at the Industrial Scale by Gus Greivel, Soutir Bandyopadhyay, Alexandra M. Newman, Brian G. Thomas

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Interpretable machine learning model for early prediction of disseminated intravascular coagulation in critically ill children by Jintuo Zhou, Yongjin Xie, Ying Liu, Peiguang Niu, Huajiao Chen, Xiaoping Zeng, Jinhua Zhang

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