Meta-Ensemble Learning for Heart Disease Prediction: A Stacking-Based Approach With Explainable AI by Mehwish Naz, Aqsa Khalid, Abdul Hameed, Rabia Taj, Waleed Mumtaz, Faiz Abdullah Alotaibi, Mrim M. Alnfiai

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A Survey of Post-Hoc XAI Methods From a Visualization Perspective: Challenges and Opportunities by Deepshikha Bhati, MD Amiruzzaman, Ye Zhao, Angela Guercio, Tram Le

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Are Artificial Intelligence Models Listening Like Cardiologists? Bridging the Gap Between Artificial Intelligence and Clinical Reasoning in Heart-Sound Classification Using Explain... by Sami Alrabie, Ahmed Barnawi

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An LLM-guided platform for multi-granular collection and management of data provenance by Luca Gregori, Pasquale Leonardo Lazzaro, Marialaura Lazzaro, Paolo Missier, Riccardo Torlone

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Artificial Intelligence in Healthcare Opportunities and Challenges for Personalized Medicine by Nagarajaiah Kavyashree, Sirisha Gudla, Bhanuprakash Lokasani, Rao P Sambasiva, Maddi Pravallika, K Kumararaja

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Decoding ’Eligibility Unknown’: transparent classification and feature-based reclassification in CAFV analysis by Muhammad Amir Khan, Mona A. Alkhattabi, Sheikh Muhammad Saqib, Tehseen Mazhar, Tariq Shahzad, Asim Seedahmed Ali Osman, Abdul Khader Jilani Saudagar, Habib Hamam

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An explainable multi-task deep learning framework for crash severity prediction using multi-source data by Yuanyuan Xiao, Zongtao Duan

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Beyond Performance: Explaining and Ensuring Fairness in Student Academic Performance Prediction with Machine Learning by Kadir Kesgin, Salih Kiraz, Selahattin Kosunalp, Bozhana Stoycheva

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Enhancing Traffic Accident Severity Prediction: Feature Identification Using Explainable AI by Jamal Alotaibi

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SPATL-XLC: An Explainability-Driven Framework for Efficient and Robust Federated Learning Under Non-IID Data by Samuel Hailemariam Seifu, Beakal Gizachew Assefa

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Incorporation of XAI and Deep Learning in Biomedical Imaging: A Review by Sushil K. Singh, Bal Virdee, Saurabh Aggarwal, Abhilash Maroju

Subjects: “…explainable ai (xai),…”
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“Always check important information!” - The role of disclaimers in the perception of AI-generated content by Angelica Lermann Henestrosa, Joachim Kimmerle

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ViX-MangoEFormer: An Enhanced Vision Transformer–EfficientFormer and Stacking Ensemble Approach for Mango Leaf Disease Recognition with Explainable Artificial Intelligence by Abdullah Al Noman, Amira Hossain, Anamul Sakib, Jesika Debnath, Hasib Fardin, Abdullah Al Sakib, Rezaul Haque, Md. Redwan Ahmed, Ahmed Wasif Reza, M. Ali Akber Dewan

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Explainable deep learning for age and gender estimation in dental CBCT scans using attention mechanisms and multi task learning by Najmeh Pishghadam, Rasool Esmaeilyfard, Maryam Paknahad

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Hybrid Optimization and Explainable Deep Learning for Breast Cancer Detection by Maral A. Mustafa, Osman Ayhan Erdem, Esra Söğüt

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Bridging spatiotemporal wildfire prediction and decision modeling using transformer networks and fuzzy inference systems by Parul Dubey, Pushkar Dubey

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Enhancing Heart Attack Prediction: Feature Identification from Multiparametric Cardiac Data Using Explainable AI by Muhammad Waqar, Muhammad Bilal Shahnawaz, Sajid Saleem, Hassan Dawood, Usman Muhammad, Hussain Dawood

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Cutting-edge advances in AI and ML for cybersecurity: a comprehensive review of emerging trends and future directions by Nachaat Mohamed

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Cloud Adoption in the Digital Era: An Interpretable Machine Learning Analysis of National Readiness and Structural Disparities Across the EU by Cristiana Tudor, Margareta Florescu, Persefoni Polychronidou, Pavlos Stamatiou, Vasileios Vlachos, Konstadina Kasabali

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Explainable AI and Fuzzy Linguistic Interpretation for Enhanced Transparency in Public Procurement: Analyzing EU Tender Awards by Cosmin Cernăzanu-Glăvan, Andrei-Ștefan Bulzan

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