Explainable Artificial Intelligence for Patient Safety: A Review of Application in Pharmacovigilance by Seunghee Lee, Seonyoung Kim, Jieun Lee, Jong-Yeup Kim, Mi-Hwa Song, Suehyun Lee

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A realist evaluation to explain and understand the role of paramedics in primary care by Georgette Eaton, Geoff Wong, Stephanie Tierney, Veronika Williams, Kamal R. Mahtani

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Human density and sampling time explain richness of anurans in the brazilian biomes by Arielson dos Santos Protázio, Lennise Costa Conceição, Airan dos Santos Protázio

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Black box algorithms and the rights of individuals: no easy solution to the “explainability” problem by Jarek Gryz, Marcin Rojszczak

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An explainable AI-based approach for predicting undergraduate students academic performance by Fatema Tuz Johora, Md Nahid Hasan, Aditya Rajbongshi, Md Ashrafuzzaman, Farzana Akter

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Exploring the Applications of Explainability in Wearable Data Analytics: Systematic Literature Review by Yasmin Abdelaal, Michaël Aupetit, Abdelkader Baggag, Dena Al-Thani

“…In this context, the integration of explainable artificial intelligence (XAI) has emerged as a crucial solution. …”
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Computer-aided cholelithiasis diagnosis using explainable convolutional neural network by Dheeraj Kumar, Mayuri A. Mehta, Ketan Kotecha, Ambarish Kulkarni

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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 India’s Africa policy: power ambitions and pro-active strategies by Bilal Habib Qazi, Hussain Abbas, Irfan Hasnain Qaisrani

“…This paper is an effort to dissect and explain India’s Africa policy, its ambitions, and its strategies to attain its interests. …”
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Prioritising explainable AI-driven recommendations with knowledge graphs and reinforcement learning by Neeraj Tiwary, Shahrul Azman Mohd Noah, Fariza Fauzi

Subjects: “…Explainable recommender system…”
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Assessment of Power Transformer Technical State Using Explainable Artificial Intelligence by Khalyasmaa A.I., Matrenin P.V., Eroshenko S.A.

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Implementation of Deep Transfer Learning and Explainable AI in Skin Cancer Classification by Muhammad Eky Ramadhan, Junta Zeniarja

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Development of culture of departure from 'comply or explain' rules of corporate governance by Radović Vuk

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Poisonous Plant Prediction Using Explainable Deep Inherent Learning Model by Ahmed S. Maklad, Ashraf Alyanbaawi, Mohammed Farsi, Hani M. Ibrahim, Mahmoud Elmezain

“…In this paper, we propose an Explainable Deep Inherent Learning approach that leverages advanced computer vision techniques for effective plant species classification and poisonous status prediction. …”
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A Statistical Analysis of the Hallucination Hypothesis Used to Explain the Resurrection of Christ by Gerald Fudge

“…While a number of hypotheses have been proposed for these post-crucifixion appearances, a leading naturalistic explanation suggests that these appearances are best explained by grief-induced bereavement hallucinations. …”
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An Explainable Machine Learning Model for Predicting Macroseismic Intensity for Emergency Management by Federico Mori, Giuseppe Naso

“…Predicting macroseismic intensity from instrumental ground motion parameters remains a complex task due to the nonlinear relationship with observed damage patterns. An explainable machine learning model based on the XGBoost algorithm was developed to address the challenge. …”
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Explaining the Experiences of The Elderly from Pre-Hospital Emergency Services in Shiraz by Leila Vali, Hojat Farehmandnia, Ahmadreza Mohammadpour

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Explainable Machine Learning for Mapping Minerals From CRISM Hyperspectral Data by Sandeepan Dhoundiyal, Moni Shankar Dey, Shashikant Singh, Pattathal V. Arun, Guneshwar Thangjam, Alok Porwal

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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

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Advancing 6G: Survey for Explainable AI on Communications and Network Slicing by Haochen Sun, Yifan Liu, Ahmed Al-Tahmeesschi, Avishek Nag, Mohadeseh Soleimanpour, Berk Canberk, Huseyin Arslan, Hamed Ahmadi

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