A Meta-Learning-Based Ensemble Model for Explainable Alzheimer’s Disease Diagnosis by Fatima Hasan Al-bakri, Wan Mohd Yaakob Wan Bejuri, Mohamed Nasser Al-Andoli, Raja Rina Raja Ikram, Hui Min Khor, Zulkifli Tahir, The Alzheimer’s Disease Neuroimaging Initiative

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Transcription factor interactions explain the context-dependent activity of CRX binding sites. by Kaiser J Loell, Ryan Z Friedman, Connie A Myers, Joseph C Corbo, Barak A Cohen, Michael A White

“…The context-dependent activity of CRX sites is thus determined by the balance between positive heterotypic interactions, independent contributions of TFBSs, and negative homotypic interactions. Our findings explain observed patterns of activity among genomic CRX-bound enhancers and silencers, and suggest that enhancers may require diverse TFBSs to overcome negative homotypic interactions between TFBSs.…”
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Explaining the Experiences of Families with Patients Affected by COVID-19: A Qualitative Study by Bahare Bayat, Kobra Rahzani, Davood Hekmatpou

“…Therefore, a qualitative study was conducted to explain families' experiences with patients suffering from COVID-19. …”
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Artificial intelligence propels lung cancer screening: innovations and the challenges of explainability and reproducibility by Mario Mascalchi, Chiara Marzi, Stefano Diciotti

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Explaining Nurses' Experiences of Breaking the Law in Patient Care: A Qualitative Study by Yasaman Jahed

“…This study was conducted in order to explain nurses' experiences of safe care as a qualitative study. …”
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EX-CODE: A Robust and Explainable Model to Detect AI-Generated Code by Luana Bulla, Alessandro Midolo, Misael Mongiovì, Emiliano Tramontana

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Enhancing smart city sustainability with explainable federated learning for vehicular energy control by Khalid Ishaq Abdullah Almaazmi, Saif Jasim Almheiri, Muhammad Adnan Khan, Asghar Ali Shah, Sagheer Abbas, Munir Ahmad

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Enhancing Traffic Accident Severity Prediction: Feature Identification Using Explainable AI by Jamal Alotaibi

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Cascading corruption news: explaining the bias of media attention to Brazil’s political scandals by Mads Damgaard

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Explaining Observed Daily Variations and Decadal Trends in the Diurnal Air Temperature Range by Sarosh Alam Ghausi, Kaighin McColl, Erwin Zehe, Axel Kleidon

“…Our findings imply that the first‐order decline in DTR with global warming can be explained by increased GHG forcings alone.…”
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OCT-based diagnosis of glaucoma and glaucoma stages using explainable machine learning by Md Mahmudul Hasan, Jack Phu, Henrietta Wang, Arcot Sowmya, Michael Kalloniatis, Erik Meijering

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Explaining and Managing Ethnic Conflict in Africa: Towards a Cultural Theory of Democracy by L Adele Jinadu

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Explainable Recommender Systems Through Reinforcement Learning and Knowledge Distillation on Knowledge Graphs by Alexandra Vultureanu-Albişi, Ionuţ Murareţu, Costin Bădică

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Explainable AI Highlights the Most Relevant Gait Features for Neurodegenerative Disease Classification by Gianmarco Tiddia, Francesca Mainas, Alessandra Retico, Piernicola Oliva

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Advancing Model Explainability: Visual Concept Knowledge Distillation for Concept Bottleneck Models by Ju-Hwan Lee, Dang Thanh Vu, Nam-Kyung Lee, Il-Hong Shin, Jin-Young Kim

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Discovery of EP4 antagonists with image-guided explainable deep learning workflow by Ma Pengsen, Cheng Zhiyuan, Cheng Zhixiang, Wang Yijie, Chai Xiaolei, Feng Bo, Xiang Hongxin, Zeng Li, Liu Xueming, Li Pengyong, Wei Leyi, Zou Quan, Liu Mingyao, Zeng Xiangxiang, Lu Weiqiang

“…In target-based drug design, the manual creation of a poor initial compound library, the time-consuming wet-laboratory experimental screening method, and the weak explainability of their activity against compounds significantly limit the efficiency of discovering novel therapeutics. …”
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Lactobacilli and Bifidobacteria: A Parapostbiotic Approach to Study and Explain Their Mutual Bioactive Influence by Clelia Altieri, Alfonso Filippone, Antonio Bevilacqua, Maria Rosaria Corbo, Milena Sinigaglia

“…Statistics through a multiparametric ANOVA (analysis of variance) provided evidence for the presence of a bifidogenic and/or bioactive factor produced by bifidobacteria and active on lactobacilli, and vice versa (bioactive factor of lactobacilli with a functional effect on bifidobacteria), although further studies are required to better explain the mechanisms beyond the positive effects. …”
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UV Radiation, not European Ancestry, Explains States’ Cognitive Performance in Brazil and USA by Federico R. León, Mayra Antonelli-Ponti, Andrés Burga-León

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Evaluating Pavement Deterioration Rates Due to Flooding Events Using Explainable AI by Lidan Peng, Lu Gao, Feng Hong, Jingran Sun

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Explaining the Decline in Coronary Heart Disease Mortality in the Netherlands between 1997 and 2007. by Carla Koopman, Ilonca Vaartjes, Ineke van Dis, W M Monique Verschuren, Peter Engelfriet, Edith M Heintjes, Anneke Blokstra, Dorly J H Deeg, Marjolein Visser, Michiel L Bots, Martin O'Flaherty, Simon Capewell

“…The model was able to explain 72% of the mortality decline. Approximately 37% (95% CI: 10%-80%) of the decline was attributable to changes in acute phase and secondary prevention treatments: the largest contributions came from treating patients in the community with heart failure (11%) or chronic angina (9%). …”
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