Results 251 to 260 of about 2,891,219 (304)

Characterizing Visual Neurosurgical Expertise in Brain MRI Visualization Using Eye-Tracking and 3D Fractal Dimension Analysis. [PDF]

J Eye Mov Res
Kumari P, Azemi G, Russo C, Di Ieva A.
europepmc   +1 more source

Peierls Bounds from Toom Contours. [PDF]

J Theor Probab
Swart JM, Szabó R, Toninelli C.
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Application Value of Radiomics-Based Machine Learning for Preoperative Risk Stratification of Bladder Cancer: Systematic Review and Meta-Analysis. [PDF]

J Med Internet Res
He Z, Liu Y, Jiang Q, Hou F, Xu B.
europepmc   +1 more source

Accurate prediction of activity cliff compounds based on bioactivity profiles depends on assay nearest neighbor relationships. [PDF]

J Cheminform
Abe R, Miyao T, Bajorath J.
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Can Machine Learning Predict the Space Group Preference of Organic Molecules? [PDF]

Cryst Growth Des
Gittins H, Day GM.
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Quantifying uncertainty in protein representations across models and tasks. [PDF]

Nat Methods
Prabakaran R, Bromberg Y.
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Development and external validation of deep learning models for spontaneous preterm birth prediction from mid-trimester cervical ultrasound

Chanian R, Mishra D, Jain R, Sharma N, Khurana A, Tripathi R, Jain A, GARBH-Ini study group, Wadhwa N, Noble JA, Thiruvengadam R, Desiraju BK, Bhatnagar S.   +12 more
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Fuzzy and random sets

Fuzzy Sets and Systems, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hung T Nguyen
exaly   +4 more sources

Random Sets in Econometrics

, 2018
Random set theory is a fascinating branch of mathematics that amalgamates techniques from topology, convex geometry, and probability theory. Social scientists routinely conduct empirical work with data and modelling assumptions that reveal a set to which the parameter of interest belongs, but not its exact value.
Molchanov, Ilya, Molinari, Francesca
openaire   +3 more sources

Random Closed Sets

, 2007
Concepts and results involving random sets appeared in probabilistic and statistical literature long time ago. The origin of the modern concept of a random set goes as far back as the seminal book by A.N. Kolmogorov [22] (first published in 1933) where he laid out the foundations of probability theory. He wrote [22, p.
Molchanov, Ilya
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