A selection of <i>AI</i> techniques listed in chronological order. by Julian H. Smith (12359814)

The SHAP summary plot for scenario 2 demonstrates the order of importance of the ten features according to the mean (SHAP value); the higher the SHAP value of a trait is given. by Niusha Shafiabady (14774119)

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Mean values for all subjects, and individual values for piano players and violin players. by Ai Kawasaki (12837051)

SHAP Value Analysis for Model Prediction. by Youli Jiang (15249070)

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Heatmap of Chi-Square P-values. by Abdullah A. Alasmari (22566815)

“…<div><p>As artificial intelligence (AI) systems become increasingly integrated into decision-making across various sectors, understanding public trust in these systems is more crucial than ever. …”

Second fill recorder. by Zhidong Yu (15397883)

“…The research results show that the simulated calculated values agree well with the experimental values, there was an “optimal initial filling rate” in the LNG tank. …”

Drivers of attitudes about uses of AI. by Michael C. Horowitz (5883152)

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AI for Editors - A strategy brief by Leila Zia (21213596)

“…For over a decade the community and Wikimedia Foundation (WMF) have developed and used artificial intelligence (AI) to power bots, products, and features. …”

RMSE value after data imputation using KNN. by Sobhana Jahan (17403672)

“…</p><p>Objective</p><p>To solve these issues, this paper proposes a novel explainable Alzheimer’s disease prediction model using a multimodal dataset. …”

Increasing the Scale of the Mass Spectrometry Query Language Compendium with Explainable AI by Thomas V. Harwood (22117921)

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Distribution of participants’ comfort with the general widespread use of AI. by Izegbua E. Ihongbe (19825859)

Prognostic value of increased expression of RBM8A in gastric cancer by Xinting Lv (8684763)

Levels of support for AI adoption for local officials. by Michael C. Horowitz (5883152)

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Relative change in individual MBP to relative change in individual MCAv. by Ai Kawasaki (12837051)

Forest plots for sensitivity (6A) and specificity (6B) for AI in refractive error prediction. by Josephine Ampong (21403001)

Dyadic LIKE values averaged over the “second year” of the recording period with a high level of partner selectivity (LPS) and an intermediate decrease speed (LHW = 2880) compared between the original and alternative dynamics as well as the two combined dynamics (dynamics 3 and dynamics 4) for two different increase speeds. by Tonko W. Zijlstra (10521607)

<i>IR52a</i>^<i>+</i> neurons synapse with sexually dimorphic second-order neurons. by Zhe He (508742)

Gap between public policy support and personal use willingness, by state, for autonomous vehicles. by Michael C. Horowitz (5883152)

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Instances of human/AI diagnostic disagreement with AI Binary feedback. by Clare Rainey (11677747)

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Rubric used to score AI chatbot responses to advanced prompts. by Patrik T. Hultberg (18522336)