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401
Real-Time Scheduling with Independent Evaluators: Explainable Multi-Agent Approach
Published 2024-12-01Subjects: Get full text
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402
Postpartum depression risk prediction using explainable machine learning algorithms
Published 2025-08-01“…This study aimed to develop an explainable machine learning model to predict the risk of PPD and to identify its key predictive factors.MethodsA retrospective analysis was conducted on 1,065 women who attended their 6-week postpartum follow-up visit at a tertiary maternal and child healthcare hospital in Shenyang, China, from January to December 2021. …”
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403
Explainability in RIONA Algorithm Combining Rule Induction and Instance-Based Learning
Published 2023-09-01Get full text
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404
Regulation of Immune Cell Infiltration into the CNS by Regional Neural Inputs Explained by the Gate Theory
Published 2013-01-01“…Interestingly, this gateway is regulated by regional neural stimulations that can be mechanistically explained by the gate theory. In this review, we also discuss this theory and its potential for treating human diseases.…”
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405
The "gateway" effect of e-cigarettes may be explained by a genetic liability to risk-taking.
Published 2021-03-01Get full text
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406
Unitarity triangle angles explained: a predictive new quark mass matrix texture
Published 2025-07-01“…We identify two novel symmetries of these mass matrices which explain the phenomenologically-successful relations α ≡ ϕ 2 ≃ π 2 $$ \frac{\pi }{2} $$ and β ≡ ϕ 1 ≃ π 8 $$ \frac{\pi }{8} $$ .…”
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407
Differences in the force exerted during wrist movements are explained by a general mathematical model
Published 2024-12-01“…The results showed high R2 values (median 0.9) and significant random effects, indicating that sEMG signals can explain variations in force signals during different hand movements by introducing the type of movement as part of the random effects of the model. …”
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408
Large Variations in HIV-1 Viral Load Explained by Shifting-Mosaic Metapopulation Dynamics.
Published 2016-10-01“…Notably, and in contrast to previous models, this new model can explain the large differences in set-point viral load (SPVL) observed between patients and their distribution, as well as the relatively low proportion of cells infected at any one time, and alters the predicted determinants of viral load variation.…”
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409
How the HESS J1731-347 object could be explained using K− condensation
Published 2025-01-01“…To the best of our knowledge, this represents a first alternative attempt aimed to explain the bulk properties of the specific object with the inclusion of a kaon condensation in dense nuclear matter. …”
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410
Mars's Crustal and Volcanic Structure Explained by Southern Giant Impact and Resulting Mantle Depletion
Published 2024-03-01“…Previous giant impact models coupled with simulations of mantle convection have shown that the crustal dichotomy can be explained by post‐impact melt crystallization that emplaced a thick crust in the southern hemisphere. …”
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Enhancing AI Explainability Through the EXACT Framework: A User-Centric Approach
Published 2025-01-01Subjects: Get full text
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417
User perspectives on AI explainability in aerospace manufacturing: a Card-Sorting study
Published 2025-03-01Subjects: Get full text
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418
Probabilistic ranking of plant cultivars: stability explains differences from mean rank
Published 2025-03-01“…The results from applying this method to data observed from multiple crops, namely, rapeseed, sorghum and maize, show that a) existing stability measures explain most of the differences, b) no stability measure explains all differences for all data, and c) stability measures that combine mean with specific type of stability perform the most like probabilistic order. …”
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419
Optimizing Solar Radiation Prediction with ANN and Explainable AI-Based Feature Selection
Published 2025-06-01Subjects: Get full text
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420
Dissolved Oxygen Modeling by a Bayesian-Optimized Explainable Artificial Intelligence Approach
Published 2025-01-01“…To this end, the present study contributes a Bayesian-optimized explainable machine learning (ML) model to reveal DO dynamics and predict DO concentrations. …”
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