Governance and geography explaining the importance of regional planning to citizens, stakeholders in their living space by Resumen Autores

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Functionalist Approach to Explain Russian-Japanese Relations under Abe and Putin Administrations by G. F. Ishkineeva, F. F. Ishkineeva

“…The present article explores the theoretical apparatus traditionally applied to Russian-Japanese relations and investigates the potential of a functionalist approach to explain Russian-Japanese relations between 2016 and 2019. …”
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Corpus based study of verbs explain and clarify as an example of assistance in pedagogical settings by Séguin Maja

“…However, their use and nuances may be unclear to language learners, such as the selected case of the verbs explain and clarify. This paper examines the usage of the two verbs by looking into corpus data and uses Sinclair's methodological procedure as an alternative to dictionary references. …”
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Explaining facial action units' correlation with hypomimia and clinical scores in Parkinson’s disease by Anas Filali Razzouki, Laetitia Jeancolas, Sara Sambin, Graziella Mangone, Alizé Chalançon, Manon Gomes, Stéphane Lehéricy, Marie Vidailhet, Isabelle Arnulf, Jean-Christophe Corvol, Dijana Petrovska-Delacrétaz, Mounim A. El-Yacoubi

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Explaining the Phenomenon of Therapeutic Deadlock in Infertile Women: A Qualitative Phenomenological Study by Somayeh Souri, Behzad Imani, Maryam Maddineshat

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Characterization of immune microenvironment associated with medulloblastoma metastasis based on explainable machine learning by Fengmao Zhao, Xiangjun Liu, Jingang Gui, Hailang Sun, Nan Zhang, Yun Peng, Ming Ge, Wei Wang

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Forecasting and Feature Analysis of Ship Fuel Consumption by Explainable Machine Learning Approaches by Pham Nguyen Dang Khoa, Dinh Gia Huy, Nguyen Canh Lam, Dang Hai Quoc, Pham Hoang Thai, Nguyen Quyen Tat, Tran Minh Cong

“…Generally, the employed ML approaches efficiently predicted the data; however, they are black-box methods. Hence, explainable machine learning methods like Shapley additive explanations, the DT structure, and local interpretable model-agnostic explanations (LIME) were employed to comprehend the models and perform feature analysis. …”
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Depth Dependent Dynamics Explain the Equatorial Jet Difference Between Jupiter and Saturn by Keren Duer, Eli Galanti, Yohai Kaspi

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Discover, Explain, Improve: An Automatic Slice Detection Benchmark for Natural Language Processing by Wenyue Hua, Lifeng Jin, Linfeng Song, Haitao Mi, Yongfeng Zhang, Dong Yu

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Explaining The Territoriality Of Fundamentalist Organizations in Fragile States(Case Study: ISIS in Libya) by Morad Kaviani Rad, Hadi Aazami, Majid Rasouli, Ahmad Bakhshi

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Mapping the global distribution of lead and its isotopes in seawater with explainable machine learning by A. Olivelli, A. Olivelli, A. Olivelli, R. Arcucci, M. Rehkämper, T. van de Flierdt

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Slow and Quick Flow Models Explain the Temporal Dynamics of Daily Salinity in Streams by Thomas G. Westfall, Tim J. Peterson, Anna Lintern, Andrew W. Western

“…Compared to the simple C‐Q equation, this equation explained the temporal dynamics with an average increase of 0.17 in the Nash‐Sutcliffe efficiency coefficient. …”
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HARNESSING MACHINE LEARNING IN HPV DIAGNOSTICS: MODEL PERFORMANCE, EXPLAINABILITY, AND CLINICAL INTEGRATION by Bahar Senel

“…Despite these advancements, data heterogeneity, explainability, and clinical validation remain substantial barriers to widespread adoption. …”
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Integrating explainable artificial intelligence and light gradient boosting machine for glioma grading by Teuku Rizky Noviandy, Ghalieb Mutig Idroes, Irsan Hardi

“…Methods: This study employs the Light Gradient Boosting Machine (LightGBM), an advanced ML algorithm, in combination with Explainable Artificial Intelligence (XAI) methodology to grade gliomas more effectively. …”
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Explaining the outcomes of the 'Clean India' campaign: institutional behaviour and sanitation transformation in India by Val Curtis

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EXPLAINING TOURIST SATISFACTION WITH COMMUNITY-BASED TOURISM IN THE MEKONG DELTA REGION, VIETNAM by Quoc Nghi NGUYEN, Van Nam MAI, Thi Hong Loc HOANG

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Explainable light-weight deep learning pipeline for improved drought stress identification by Aswini Kumar Patra, Aswini Kumar Patra, Lingaraj Sahoo

“…A key innovation of our work is the integration of gradient-based visualization inspired by Gradient-Class Activation Mapping (Grad-CAM), an explainability technique. This visualization approach sheds light on the internal workings of the deep learning model, often regarded as a ”black box”. …”
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Bridging Explainability and Interpretability in AI-driven SCM Projects to Enhance Decision-Making by El Oualidi Taoufik, Assar Saïd

“…The increasing involvement of end-users has also garnered interest in AI explainability. However, AI explainability continues to be a serious concern, particularly in conventional fields of activity where end-users play an essential role in the large-scale deployment of AI-based solutions. …”
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Assessing the accuracy and explainability of using ChatGPT to evaluate the quality of health news by Xiaoyu Liu, Lu He, Eman Alanazi, Echu Liu, Arianna Goss, Lionel Gumireddy

“…Additionally, linguistic complexity, readability, and the quality of GPT-3.5-Turbo’s explainability were assessed through both quantitative linguistic analysis and qualitative evaluation of consistency and contextual relevance. …”
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Explainable Two-Layer Mode Machine Learning Method for Hyperspectral Image Classification by Wenjia Chen, Junwei Cheng, Song Yang, Li Sun

“…Explainable machine learning methods with a specific mathematical model provide insights into how the model works. …”
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