Explainable Boosting Machines Identify Key Metabolomic Biomarkers in Rheumatoid Arthritis by Fatma Hilal Yagin, Cemil Colak, Abdulmohsen Algarni, Ali Algarni, Fahaid Al-Hashem, Luca Paolo Ardigò

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Reexamining L2 accent: How much can personality explain? by Germán Zárate-Sández

“…Results revealed that personality explained a considerable portion of the variance, and that extraversion and neuroticism were significant predictors of L2 accent.  …”
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Genetic pleiotropy explains associations between musical auditory discrimination and intelligence. by Miriam A Mosing, Nancy L Pedersen, Guy Madison, Fredrik Ullén

“…Good fit was obtained with a two-factor model where one underlying shared genetic factor explained all the covariation between the musical discrimination tasks and IQ, and a second genetic factor explained variance exclusively shared among the discrimination tasks. …”
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Predicting Phenoconversion in Isolated RBD: Machine Learning and Explainable AI Approach by Yong-Woo Shin, Jung-Ick Byun, Jun-Sang Sunwoo, Chae-Seo Rhee, Jung-Hwan Shin, Han-Joon Kim, Ki-Young Jung

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Why We Do Not Need Dark Energy to Explain Cosmological Acceleration by Felix M. Lev

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A Comprehensive Review of Explainable Artificial Intelligence (XAI) in Computer Vision by Zhihan Cheng, Yue Wu, Yule Li, Lingfeng Cai, Baha Ihnaini

Subjects: “…explainable artificial intelligence (XAI)…”
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Exploring happiness factors with explainable ensemble learning in a global pandemic. by Md Amir Hamja, Mahmudul Hasan, Md Abdur Rashid, Md Tanvir Hasan Shourov

“…Among the trained models, Blending RGMLL demonstrates the highest predictive accuracy with R2 of 85%, MSE of 0.15, and RMSE of 0.38. We employ Explainable Artificial Intelligence (XAI) techniques to uncover changes in happiness indices, variable importance, and the impact of the COVID-19 pandemic on happiness. …”
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State-of-the-Art in Responsible, Explainable, and Fair AI for Medical Image Analysis by Soheyla Amirian, Fengyi Gao, Nickolas Littlefield, Jonathan H. Hill, Adolph J. Yates, Johannes F. Plate, Liron Pantanowitz, Hooman H. Rashidi, Ahmad P. Tafti

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An Ensemble Learning Framework with Explainable AI for interpretable leaf disease detection by Mohammad Rifat Ahmmad Rashid, Md. AL Ehtesum Korim, Mahamudul Hasan, Md Sawkat Ali, Mohammad Manzurul Islam, Taskeed Jabid, Raihan Ul Islam, Maheen Islam

“…To address this challenge, we present an Ensemble Learning Framework with Explainable AI (XAI) tailored to disease detection, using cucumber leaf diagnosis as a key use case. …”
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Blood pressure abnormality detection and interpretation utilizing explainable artificial intelligence by Hedayetul Islam, Md. Sadiq Iqbal, Muhammad Minoar Hossain

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Does corporate tax avoidance explain cash holdings? The case of Vietnam by Nguyen Vinh Khuong, Nguyen Tran Thai Ha, Mai Thi Hoang Minh, Phung Anh Thu

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Explainable Anomaly Detection Based on Operational Sequences in Industrial Control Systems by Ka-Kyung Kim, Joon-Seok Kim, Ieck-Chae Euom

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Short Spatiotemporal Fire History Explains the Occurrence of Beetles Favoured by Fire by Per Milberg, Karl-Olof Bergman, Nicklas Jansson, Henrik Norman, Fia Sundin, Lars Westerberg, Victor Johansson

“…The spatiotemporal connectivity that best explained the patterns suggests that fire-favoured beetles mainly respond to fires within a 2 km range up to 2–3 years after the fire. …”
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Explaining the Factors Related to the Improvement of Organizational Capabilities with an Organizational Learning Approach by Parisa Saadati, Mahmoud Ghorbani, Saeid khayatmoghadam

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Developing a model to explain teacher effectiveness: the mediating role of gamification by Pingalan Gejandran, Norazilawati Abdullah

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An explainable transformer model for Alzheimer’s disease detection using retinal imaging by Saeed Jamshidiha, Alireza Rezaee, Farshid Hajati, Mojtaba Golzan, Raymond Chiong

“…In this study, we propose Retformer, a novel transformer-based architecture for detecting AD using retinal imaging modalities, leveraging the power of transformers and explainable artificial intelligence. The Retformer model is trained on datasets of different modalities of retinal images from patients with AD and age-matched healthy controls, enabling it to learn complex patterns and relationships between image features and disease diagnosis. …”
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Explaining the Comprehensive Human-To-Human Marketig System in the Health Tourism Industry by Ali Pourang, Meysam Shirkhodaie, Mahmood Yahyazadeh far, Mohsen Alizadeh San, Masoomeh Tavangar

“…The aim of this research is to explain a comprehensive human-to-human marketing system in the health tourism industry in line with Iran's cultural identity and legal and institutional conditions. …”
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Toward Semantic Event-Handling for Building Explainable Cyber-Physical Systems by Gernot Steindl, Tobias Schwarzinger, Katrin Schreiberhuber, Fajar J. Ekaputra

“…In this article we provide a foundation for explaining system behavior through detected system events. …”
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Designing a system of learning materials to explain climate change to children by Lucy Blackwell

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A Study Comparing Explainability Methods: A Medical User Perspective by Matejová Miroslava, Gojdičová Lucia, Paralič Ján

Subjects: “…explainability…”
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