An ensemble machine learning framework with explainable artificial intelligence for predicting haemoglobin anaemia considering haematological markers by Dhruva Darshan B S, Punit Sharma, Krishnaraj Chadaga, Niranjana Sampathila, G. Muralidhar Bairy, Sushma Belurkar, Srikanth Prabhu, Swathi K S

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Prediction of birthweight with early and mid-pregnancy antenatal markers utilising machine learning and explainable artificial intelligence by Manohar Pavanya, Krishnaraj Chadaga, Vennila J, Akhila Vasudeva, Bhamini Krishna Rao, Srikanth Prabhu, Shashikala K Bhat

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Transformative impact of explainable artificial intelligence: bridging complexity and trust by Girish Paliwal, Ashish Kumar, Kanta Prasad Sharma, Deepshika Bhargava, Vijay Mohan Shrimal

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Predicting acute myocardial infarction from haematological markers utilizing machine learning and explainable artificial intelligence by Tejas Kadengodlu Bhat, Krishnaraj Chadaga, Niranjana Sampathila, Swathi KS, Rajagopala Chadaga, Shashikiran Umakanth, Srikanth Prabhu

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AI-driven drug discovery and repurposing using multi-omics for myocardial infarction and heart failure by Ziad Sabry, Harkirat Singh Arora, Sriram Chandrasekaran, Zhong Wang

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Modeling energy consumption indexes of an industrial cement ball mill for sustainable production by Saeed Chehreh Chelgani, Rasoul Fatahi, Ali Pournazari, Hamid Nasiri

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Development and Clinical Interpretation of an Explainable AI Model for Predicting Patient Pathways in the Emergency Department: A Retrospective Study by Émilien Arnaud, Pedro Antonio Moreno-Sanchez, Mahmoud Elbattah, Christine Ammirati, Mark van Gils, Gilles Dequen, Daniel Aiham Ghazali

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Identifying Learners’ Confusion in a MOOC Forum Across Domains Using Explainable Deep Transfer Learning by Rahaf Alsuhaimi, Omaima Almatrafi

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Survey on explainable knowledge graph reasoning methods by Yi XIA, Mingjng LAN, Xiaohui CHEN, Junyong LUO, Gang ZHOU, Peng HE

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A Differential-Evolution-Based Approach to Extract Univariate Decision Trees From Black-Box Models Using Tabular Data by Rafael Rivera-Lopez, Hector G. Ceballos

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Semi-supervised Learning of Visual Causal Macrovariables by Aruna Jammalamadaka, Lingyi Zhang, Joseph Comer, Sasha Strelnikoff, Ryan Mustari, Tsai-Ching Lu, Rajan Bhattacharyya

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An Interpretable Weather Forecasting Model With Separately‐Learned Dynamics and Physics Neural Networks by Mengxuan Chen, Jinxiao Zhang, Runmin Dong, Yidan Xu, Haoyuan Liang, Juepeng Zheng, Lanning Wang, Haohuan Fu

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A Novel Ensemble of Deep Learning Approach for Cybersecurity Intrusion Detection with Explainable Artificial Intelligence by Abdullah Alabdulatif

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ResTreeNet: A Height-Aware LiDAR Tree Classification Model With Explainable AI for Forestry Applications by Asrat Kaleab Taye, Jeong-Mook Park, Hyung-Ju Cho, Jin-Taek Kang, Yeon-Ok Seo

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Unlocking telecommuting patterns before, during, and after the COVID-19 pandemic: An explainable AI-driven study by Adedolapo Ogungbire, Suman Kumar Mitra

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Fairness and Explanations in Entity Resolution: An Overview by Tiago Brasileiro Araujo, Vasilis Efthymiou, Kostas Stefanidis

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Leveraging explainable artificial intelligence for early detection and mitigation of cyber threat in large-scale network environments by G. Nalinipriya, S. Rama Sree, K. Radhika, E. Laxmi Lydia, Faten Khalid Karim, Mohamad Khairi Ishak, Samih M. Mostafa

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AI-based analysis of fetal growth restriction in a prospective obstetric cohort quantifies compound risks for perinatal morbidity and mortality and identifies previously unrecogniz... by Raquel M. Zimmerman, Edgar J. Hernandez, Mark Yandell, Martin Tristani-Firouzi, Robert M. Silver, William Grobman, David Haas, George Saade, Jonathan Steller, Nathan R. Blue

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Improving the accuracy and interpretability of neural networks for wind power forecasting by Wenlong Liao, Birgitte Bak-Jensen, Zhe Yang, Gonghao Zhang, Jiannong Fang, Fernando Porté-Agel

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Forecasting of the Geomagnetic Activity for the Next 3 Days Utilizing Neural Networks Based on Parameters Related to Large‐Scale Structures of the Solar Corona by Tingyu Wang, Bingxian Luo, Jingjing Wang, Xianzhi Ao, Liqin Shi, Qiuzhen Zhong, Siqing Liu

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