Explainable machine learning framework for biomarker discovery by combining biological age and frailty prediction by Xiheng Wang, Jie Ji

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XAI-Based Assessment of the AMURA Model for Detecting Amyloid-β and Tau Microstructural Signatures in Alzheimer’s Disease by Lorenza Brusini, Federica Cruciani, Gabriele Dall'glio, Tommaso Zajac, Ilaria Boscolo Galazzo, Mauro Zucchelli, Gloria Menegaz

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XGBoost and SHAP-Based Analysis of Risk Factors for Hypertension Classification in Korean Postmenopausal Women by Hojeong Kim, Mavlonbek Khomidov, Jong-Ha Lee

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The influence of correlated features on neural network attribution methods in geoscience by Evan Krell, Antonios Mamalakis, Scott A. King, Philippe Tissot, Imme Ebert-Uphoff

Subjects: “…eXplainable Artificial Intelligence…”
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Explainable AI for Lightweight Network Traffic Classification Using Depthwise Separable Convolutions by Mustafa Ghaleb, Mosab Hamdan, Abdulaziz Y. Barnawi, Muhammad Gambo, Abubakar Danasabe, Saheed Bello, Aliyu Habib

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XAIEnsembleTL-IoV: A new eXplainable Artificial Intelligence ensemble transfer learning for zero-day botnet attack detection in the Internet of Vehicles by Yakub Kayode Saheed, Joshua Ebere Chukwuere

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Person Re-Identification with Attribute-Guided, Robust-to-Low-Resolution Drone Footage Considering Fog/Edge Computing by Bongjun Kim, Sunkyu Kim, Seokwon Park, Junho Jeong

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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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Can eXplainable AI Offer a New Perspective for Groundwater Recharge Estimation?—Global‐Scale Modeling Using Neural Network by Hyekyeng Jung, Jan Saynisch‐Wagner, Stephan Schulz

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Design of an Early Prediction Model for Parkinson’s Disease Using Machine Learning by K. Velu, N. Jaisankar

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XV-AMD: An Explainable Vision Transformer Detection Framework for Age-Related Macular Degeneration Using Fundus Imaging by Aya A. Abd El-Khalek, Hossam Magdy Balaha, Mohamed T. Azam, Ashraf Sewelam, Mohammed Ghazal, Abeer T. Khalil, Mohy Eldin A. Abo-Elsoud, Ayman El-Baz

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Exploring Consistent Feature Selection for Software Fault Prediction: An XAI-Based Model-Agnostic Approach by Adam Khan, Asad Ali, Jahangir Khan, Fasee Ullah, Muhammad Faheem

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SmartScanPCOS: A feature-driven approach to cutting-edge prediction of Polycystic Ovary Syndrome using Machine Learning and Explainable Artificial Intelligence by Umaa Mahesswari G, Uma Maheswari P

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Toward Spatio‐Temporally Consistent Multi‐Site Fire Danger Downscaling With Explainable Deep Learning by Óscar Mirones, Jorge Baño‐Medina, Swen Brands, Joaquín Bedia

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