Random packings and coverings in random trees
Moon, J.W., Meir, A.
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Machine Learning-Based Prediction of Rule Violations for Drug-Likeness Assessment in Peptide Molecules Using Random Forest Models. [PDF]
Lambev M, Dimitrova D, Mihaylova S.
europepmc +1 more source
A Note on Rémy's Algorithm for Generating Random Binary Trees
Erkki Mäkinen, Jarmo Siltaneva
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Leveraging artificial intelligence to enable sustainable urban development through the creation of smart and environmentally friendly carbon-free cities. [PDF]
Salhi A +5 more
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Diabetic retinopathy as the primary predictor of mild cognitive impairment in type 2 diabetes: Insights from machine learning models. [PDF]
Rhmari Tlemçani FZ +7 more
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The Brownian motion has played an important role in the development of probability theory and stochastic processes. We are going to see that it appears in the limiting process of several discrete processes. In particular, we will define discrete processes on Galton-Watson trees to see 2 different types of limits, which are the local limits and the ...
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Bayesian additive regression trees for machine learning to classify benign vs atypical lipomatous tumors on MRI. [PDF]
Godinez F +13 more
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An interpretable machine learning approach based on SHAP, Sobol and LIME values for precise estimation of daily soybean crop coefficients. [PDF]
Elbeltagi A +6 more
europepmc +1 more source
Machine Learning Models for Differentiating Causes of Dyspnea in Emergency Department Patients: A Retrospective Study. [PDF]
Baarts JC +3 more
europepmc +1 more source
Modelling of immune infiltration in prostate cancer treated with HDR-brachytherapy using Raman spectroscopy and machine learning. [PDF]
Popescu SN +12 more
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