Explainable AI for time series prediction in economic mental health analysis by Ying Yang, Ying Yang, Lifen Wen, Li Li

Subjects: “…Explainable AI…”
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Explaining the Best Management Practices for Maintaining European Honey Bee Colonies by Michael K. O'Malley, James D. Ellis, Jerry W. Hayes

“…Hayes, Jr., outlines and explains the 12 recommendations listed in the voluntary agreement between Florida beekeepers and state officials to minimize the spread of African honey bees. …”
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Explaining the New Islamic Discourse of International Relations with Emphasis on the Concept of Convergence by Hossein Pourahmadi, Pouya Pirouzi

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HuberAIME: A Robust Approach to Explainable AI in the Presence of Outliers by Takafumi Nakanishi

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Dataset resulting from the user study on comprehensibility of explainable AI algorithms by Szymon Bobek, Paloma Korycińska, Monika Krakowska, Maciej Mozolewski, Dorota Rak, Magdalena Zych, Magdalena Wójcik, Grzegorz J. Nalepa

“…Abstract This paper introduces a dataset that is the result of a user study on the comprehensibility of explainable artificial intelligence (XAI) algorithms. …”
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THE FRENCH PARADOX: HOW CAN WE EXPLAIN THE ASSIMILATION OF HEALTH BIOTECHNOGIES? by Xavier PARISOT, Bertrand PAUGET

“…Yet, in those two sectors, the production process of biotechnology is the same. How can we explain those differences? This article aims to explain the reasons for the acceptance of biotechnology in the business of health. …”
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The Role of Knowledge and Trust in Explaining Intention of Performing Waqf in Agricultural Sector by Sunarmo Sunarmo, Rifaldi Majid

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A Simple Nonlinear Dynamic Model for Unemployment: Explaining the Spanish Case by João Ricardo Faria, Miguel A. León-Ledesma

“…This paper presents a simple nonlinear dynamic model that is able to explain this behavior with multiple equilibria and jumps describing the transition between equilibria. …”
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Visualizing UNet Decisions: An Explainable AI Perspective for Brain MRI Segmentation by D. Jeya Mala, Mainak Chattopadhyay, Parthiba Mukhopadhyay, Roopak Sinha

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Fuzzy evaluation and explainable machine learning for diagnosis of rheumatic and autoimmune diseases by Mohammed Fadhil Mahdi, Arezoo Jahani, Dhafar Hamed Abd

Subjects: “…Explainable…”
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Explainable artificial intelligence of DNA methylation-based brain tumor diagnostics by Salvatore Benfatto, Martin Sill, David T. W. Jones, Stefan M. Pfister, Felix Sahm, Andreas von Deimling, David Capper, Volker Hovestadt

“…We detect a high degree of genomic redundancy, with many genes distinguishing individual tumor classes, explaining the robustness of the classifier and revealing potential targets for further therapeutic investigation. …”
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Identifying and Explaining the Obstacles to Intellectual Education from Ibn Sina's Perspective by Zahra Mohammadi khoshoei, Reza ali Nowrozi, Forough Al Sadat Rahimpoor

“…Therefore, this article aims to identify and explain the obstacles to rational education from Ibn Sina's perspective, proposing educational solutions to address them within the education system. …”
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When the party is over: Explaining the rise of the Spanish far-right SALF by Javier Padilla Moreno-Torres, Álvaro Canalejo-Molero, Alberto López Ortega

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Calories do not explain extension of life span by dietary restriction in Drosophila. by William Mair, Matthew D W Piper, Linda Partridge

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Explaining the rolling‐pin distribution of suprathermal electrons behind dipolarization fronts by C. M. Liu, H. S. Fu, Y. Xu, J. B. Cao, W. L. Liu

“…This study, quantitatively explaining the formation of rolling‐pin distribution, can improve the understanding of electron dynamics behind DFs.…”
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Enhancing Explainable AI Land Valuations Reporting for Consistency, Objectivity, and Transparency by Chung Yim Yiu, Ka Shing Cheung

“…This paper addresses these challenges by proposing a structured framework for incorporating Explainable Artificial Intelligence (XAI) techniques into valuation practices. …”
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ROPGCViT: A Novel Explainable Vision Transformer for Retinopathy of Prematurity Diagnosis by Mustafa Yurdakul, Kubra Uyar, Sakir Tasdemir, Irfan Atabas

“…With a dataset of 1099 fundus images, the performance of the model was evaluated in terms of accuracy, precision, recall, f1-score, and Cohen’s kappa score. To enhance explainability, the Gradient-Weighted Class Activation Mapping (Grad-CAM) method was utilized to visualize the regions of fundus images the model focused on during classification, providing insights into its decision-making process. …”
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Artificial Intelligence in Crime Prediction: A Survey With a Focus on Explainability by Filiz Ersoz, Taner Ersoz, Francesco Marcelloni, Fabrizio Ruffini

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Explainable AI-driven intelligent system for precision forecasting in cardiovascular disease by Anas Bilal, Abdulkareem Alzahrani, Khalid Almohammadi, Muhammad Saleem, Muhammad Sajid Farooq, Raheem Sarwar

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An explainable dataset linking facial phenotypes and genes to rare genetic diseases by Jie Song, Mengqiao He, Shumin Ren, Bairong Shen

“…Although AI-driven image recognition achieves high diagnostic accuracy, it often fails to explain its predictions. In this study, we present the Facial phenotype-Gene-Disease Dataset (FGDD), an explainable dataset collected from 509 research publications. …”
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