C-SHAP: A Hybrid Method for Fast and Efficient Interpretability by Golshid Ranjbaran, Diego Reforgiato Recupero, Chanchal K. Roy, Kevin A. Schneider

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Opening the AI Black Box: Distilling Machine-Learned Algorithms into Code by Eric J. Michaud, Isaac Liao, Vedang Lad, Ziming Liu, Anish Mudide, Chloe Loughridge, Zifan Carl Guo, Tara Rezaei Kheirkhah, Mateja Vukelić, Max Tegmark

Subjects: “…mechanistic interpretability…”
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Study on the Compressive Strength Predicting of Steel Fiber Reinforced Concrete Based on an Interpretable Deep Learning Method by Huiming Wang, Jie Lin, Shengpin Guo

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Key Factors Determining the Required Number of Training Images in Person Re-Identification by Taku Sasaki, Adam S. Walmsley, Kazuki Adachi, Shohei Enomoto, Shin'Ya Yamaguchi

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Beyond accuracy: Multimodal modeling of structured speaking skill indices in young adolescents by Candy Olivia Mawalim, Chee Wee Leong, Guy Sivan, Hung-Hsuan Huang, Shogo Okada

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DSGD++: Reducing Uncertainty and Training Time in the DSGD Classifier through a Mass Assignment Function Initialization Technique by Aik Tarkhanyan, Ashot Harutyunyan

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Selecting the Right AI Algorithm for the Job: A Guide for Navigating the AI Jungle in Ophthalmology by Louis Arnould, Atif Anwer, Andrzej Grzybowski, Fabrice Meriaudeau

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Measuring Interpretability: A systematic literature review of interpretability measures in artificial intelligence by Prateek Goel, Rosina Weber

Subjects: “…Interpretability…”
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Interpretable Clustering Using Dempster-Shafer Theory by Aram Adamyan, Hovhannes Hovanesyan, Daniel Radrigan, Nelson Baloian, Ashot Harutyunyan

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GWO-FNN: Fuzzy Neural Network Optimized via Grey Wolf Optimization by Paulo Vitor de Campos Souza, Iman Sayyadzadeh

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Interpretability-Oriented Adjustment of K-Means: A Multiple-Objective Particle Swarm Optimization Framework by Liang Chen, Leming Sun, Caiming Zhong

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XAI GNSS—A Comprehensive Study on Signal Quality Assessment of GNSS Disruptions Using Explainable AI Technique by Arul Elango, Rene Jr. Landry

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Dissolved Oxygen Modeling by a Bayesian-Optimized Explainable Artificial Intelligence Approach by Qiulin Li, Jinchao He, Dewei Mu, Hao Liu, Shicheng Li

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MORIX: Machine learning-aided framework for lethality detection and MORtality inference with eXplainable artificial intelligence in MAFLD subjects by Domenico Lofù, Paolo Sorino, Tommaso Colafiglio, Caterina Bonfiglio, Rossella Donghia, Gianluigi Giannelli, Angela Lombardi, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci

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Development and Validation of an Interpretable Machine Learning Model for Predicting Tic Disorders and Severity in Children Based on Electroencephalogram Data by Wanting Xiang, Gang Zhu, Yichong Hou, Zhandong Mei, Lin Wan, Li Zhang, Guang Yang, Jian Zu

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Development of an interpretable machine learning model based on CT radiomics for the prediction of post acute pancreatitis diabetes mellitus by Xiyao Wan, Yuan Wang, Ziyi Liu, Ziyan Liu, Shuting Zhong, Xiaohua Huang

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Machine Learning and Interpretability Study for Predicting 30-Day Unplanned Readmission Risk of Schizophrenia: A Retrospective Study by Tan Y, Chen G, Wang S, Zhan X, Cheng R, Qiao L, Zhang Z, Liu Y

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Unsupervised Decision Trees for Axis Unimodal Clustering by Paraskevi Chasani, Aristidis Likas

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A Review of Explainable AI for Android Malware Detection and Analysis by Maryam Tanha, Somayeh Kafaie

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The Shapley Value in Data Science: Advances in Computation, Extensions, and Applications by Lei Qin, Yingqiu Zhu, Shaonan Liu, Xingjian Zhang, Yining Zhao

Subjects: “…machine learning interpretability…”
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