On explaining recommendations with Large Language Models: a review by Alan Said

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End-to-End Stroke Imaging Analysis Using Effective Connectivity and Interpretable Artificial Intelligence by Wojciech Ciezobka, Joan Falco-Roget, Cemal Koba, Alessandro Crimi

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Towards Transparent Diabetes Prediction: Combining AutoML and Explainable AI for Improved Clinical Insights by Raza Hasan, Vishal Dattana, Salman Mahmood, Saqib Hussain

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Integrating Explainable Artificial Intelligence in Extended Reality Environments: A Systematic Survey by Clara Maathuis, Marina Anca Cidota, Dragoș Datcu, Letiția Marin

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ACD-ML: Advanced CKD detection using machine learning: A tri-phase ensemble and multi-layered stacking and blending approach by Mir Faiyaz Hossain, Shajreen Tabassum Diya, Riasat Khan

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A deep learning analysis for dual healthcare system users and risk of opioid use disorder by Ying Yin, Elizabeth Workman, Phillip Ma, Yan Cheng, Yijun Shao, Joseph L. Goulet, Friedhelm Sandbrink, Cynthia Brandt, Christopher Spevak, Jacob T. Kean, William Becker, Alexander Libin, Nawar Shara, Helen M. Sheriff, Jorie Butler, Rajeev M. Agrawal, Joel Kupersmith, Qing Zeng-Trietler

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AI anxiety: Explication and exploration of effect on state anxiety when interacting with AI doctors by Hyun Yang, S. Shyam Sundar

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Customization of health insurance premiums using machine learning and explainable AI by Manohar Kapse, Vinod Sharma, Rutuj Vidhale, Varun Vellanki

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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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Introduction to deep learning methods for multi‐species predictions by Yuqing Hu, Sara Si‐Moussi, Wilfried Thuiller

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Context-Aware Dual-Task Deep Network for Concurrent Bone Segmentation and Clinical Assessment to Enhance Shoulder Arthroplasty Preoperative planning by Luca Marsilio, Andrea Moglia, Alfonso Manzotti, Pietro Cerveri

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Deep learning and explainable AI for classification of potato leaf diseases by Sarah M. Alhammad, Doaa Sami Khafaga, Walaa M. El-hady, Farid M. Samy, Khalid M. Hosny

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A Deep Learning-Based Approach for the Detection of Various Internet of Things Intrusion Attacks Through Optical Networks by Nouman Imtiaz, Abdul Wahid, Syed Zain Ul Abideen, Mian Muhammad Kamal, Nabila Sehito, Salahuddin Khan, Bal S. Virdee, Lida Kouhalvandi, Mohammad Alibakhshikenari

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Enhancing aviation control security through ADS-B injection detection using ensemble meta-learning models with Explainable AI by Vajratiya Vajrobol, Geetika Jain Saxena, Sanjeev Singh, Amit Pundir, Brij B. Gupta, Akshat Gaurav, Kwok Tai Chui

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SurvBeNIM: The Beran-Based Neural Importance Model for Explaining Survival Models by Lev V. Utkin, Danila Y. Eremenko, Andrei V. Konstantinov, Vladimir A. Muliukha

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From Prediction to Explanation: Using Explainable AI to Understand Satellite-Based Riot Forecasting Models by Scott Warnke, Daniel Runfola

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Finding Neural Biomarkers for Motor Learning and Rehabilitation Using an Explainable Graph Neural Network by J. Han, A. Embs, F. Nardi, S. Haar, A. A. Faisal

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Advancing UAV Communications: A Comprehensive Survey of Cutting-Edge Machine Learning Techniques by Chenrui Sun, Gianluca Fontanesi, Berk Canberk, Amirhossein Mohajerzadeh, Symeon Chatzinotas, David Grace, Hamed Ahmadi

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Towards unbiased skin cancer classification using deep feature fusion by Ali Atshan Abdulredah, Mohammed A. Fadhel, Laith Alzubaidi, Ye Duan, Monji Kherallah, Faiza Charfi

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Decoding Gestures in Electromyography: Spatiotemporal Graph Neural Networks for Generalizable and Interpretable Classification by Hunmin Lee, Ming Jiang, Jinhui Yang, Zhi Yang, Qi Zhao

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