C-SHAP: A Hybrid Method for Fast and Efficient Interpretability by Golshid Ranjbaran, Diego Reforgiato Recupero, Chanchal K. Roy, Kevin A. Schneider

Subjects: Get full text

Space Weather Forecasts of Ground Level Space Weather in the UK: Evaluating Performance and Limitations by A. W. Smith, I. J. Rae, C. Forsyth, J. C. Coxon, M.‐T. Walach, C. J. Lao, D. S. Bloomfield, S. A. Reddy, M. K. Coughlan, A. Keesee, S. Bentley

Subjects: Get full text

Developing a Transparent Anaemia Prediction Model Empowered With Explainable Artificial Intelligence by Muhammad Sajid Farooq, Muhammad Hassan Ghulam Muhammad, Oualid Ali, Zahid Zeeshan, Muhammad Saleem, Munir Ahmad, Sagheer Abbas, Muhammad Adnan Khan, Taher M. Ghazal

Subjects: Get full text

Data-driven analysis in the selective oligomerization of long-chain linear alpha olefin on zeolite catalysts: A machine learning-based parameter study by Sung Woo Lee, Marcel Jonathan Hidajat, Seung Hyeok Cha, Gwang-Nam Yun, Dong Won Hwang

Subjects: Get full text

Machine Learning Models for Predicting Thermal Properties of Radiative Cooling Aerogels by Chengce Yuan, Yimin Shi, Zhichen Ba, Daxin Liang, Jing Wang, Xiaorui Liu, Yabei Xu, Junreng Liu, Hongbo Xu

Subjects: Get full text

Development of a prognostic nomogram for ocular melanoma: a SEER population-based study (2000–2021) by Miyun Zheng, Miyun Zheng, Maodong Xu, Maodong Xu, Mengxing You, Mengxing You, Zhiqing Huang, Zhiqing Huang

Subjects: Get full text

An Interpretable Machine Learning Procedure Which Unravels Hidden Interplanetary Drivers of the Low Latitude Dayside Magnetopause by Sheng Li, Yang‐Yi Sun, Chieh‐Hung Chen

Subjects: Get full text

The Potential of SHAP and Machine Learning for Personalized Explanations of Influencing Factors in Myopic Treatment for Children by Jun-Wei Chen, Hsin-An Chen, Tzu-Chi Liu, Tzu-En Wu, Chi-Jie Lu

Subjects: Get full text

Machine learning and SHAP value interpretation for predicting comorbidity of cardiovascular disease and cancer with dietary antioxidants by Xiangjun Qi, Shujing Wang, Caishan Fang, Jie Jia, Lizhu Lin, Tianhui Yuan

Subjects: Get full text

Impact of Operational and Financial Efficiency on Aviation Stock Prices: A Machine Learning Model with SHAP Interpretability by Ahmet Akusta

Subjects: Get full text

XI2S-IDS: An Explainable Intelligent 2-Stage Intrusion Detection System by Maiada M. Mahmoud, Yasser Omar Youssef, Ayman A. Abdel-Hamid

Subjects: Get full text

Using XBGoost, an interpretable machine learning model, for diagnosing prostate cancer in patients with PSA < 20 ng/ml based on the PSAMR indicator by Dengke Li, Baoyuan Chang, Qunlian Huang

Subjects: Get full text

An explainable Bi-LSTM model for winter wheat yield prediction by Abhasha Joshi, Biswajeet Pradhan, Subrata Chakraborty, Subrata Chakraborty, Renuganth Varatharajoo, Abdullah Alamri, Shilpa Gite, Chang-Wook Lee

Subjects: Get full text

Prediction of pulmonary embolism by an explainable machine learning approach in the real world by Qiao Zhou, Ruichen Huang, Xingyu Xiong, Zongan Liang, Wei Zhang

Subjects: Get full text

Potential value of novel multiparametric MRI radiomics for preoperative prediction of microsatellite instability and Ki-67 expression in endometrial cancer by Zhichao Wang, Yan Hu, Jun Cai, Jinyuan Xie, Chao Li, Xiandong Wu, Jingjing Li, Haifeng Luo, Chuchu He

Subjects: Get full text

Urban Vegetation Mapping from Aerial Imagery Using Explainable AI (XAI) by Arnick Abdollahi, Biswajeet Pradhan

Subjects: Get full text

Death risk prediction model for patients with non-traumatic intracerebral hemorrhage by Yidan Chen, Xuhui Liu, Mingmin Yan, Yue Wan

Subjects: Get full text

Machine learning-based identification of proteomic markers in colorectal cancer using UK Biobank data by Swarnima Kollampallath Radhakrishnan, Dipanwita Nath, Dominic Russ, Dominic Russ, Dominic Russ, Laura Bravo Merodio, Laura Bravo Merodio, Laura Bravo Merodio, Priyani Lad, Folakemi Kola Daisi, Animesh Acharjee, Animesh Acharjee, Animesh Acharjee

Subjects: Get full text

PD_EBM: An Integrated Boosting Approach Based on Selective Features for Unveiling Parkinson's Disease Diagnosis With Global and Local Explanations by Fahmida Khanom, Mohammad Shorif Uddin, Rafid Mostafiz

Subjects: Get full text

Machine learning prediction of obesity-associated gut microbiota: identifying Bifidobacterium pseudocatenulatum as a potential therapeutic target by Hao Wu, Yuan Li, Yuxuan Jiang, Xinran Li, Shenglan Wang, Changle Zhao, Changle Zhao, Ximiao Yang, Baocheng Chang, Juhong Yang, Juhong Yang, Jianjun Qiao, Jianjun Qiao

Subjects: Get full text