Results 131 to 140 of about 10,063 (188)

Aleatoric and Epistemic Uncertainty in Image Segmentation

Image segmentation, the pixelwise classification of objects, is an integral part of the computer vision toolbox and an indispensable method in many applications, such as the analysis of medical images and autonomous driving. The safe deployment of such systems in practice requires that they can express uncertainty about their predictions, to then allow
openaire   +1 more source

Fingerprint-Based Machine Learning for SARS-CoV-2 and MERS-CoV <i>M</i>^<i>pro</i> Inhibition: Highlighting the Potential of Bayesian Neural Networks. [PDF]

J Chem Inf Model
Doering NP, Talagayev V, Liu S, Wolber G.   +3 more
europepmc   +1 more source

Estimation of Physiological Vocal Features from Neck Surface Acceleration Signals Using Probabilistic Bayesian Neural Networks. [PDF]

IEEE Trans Audio Speech Lang Process (2025)
Sepúlveda J, Parra JA, Ibarra EJ, Araya M, De La Cuadra P, Zañartu M.   +5 more
europepmc   +1 more source

Quantification of total uncertainty in the physics-informed reconstruction of CVSim-6 physiology. [PDF]

Philos Trans A Math Phys Eng Sci
De Florio M, Zou Z, Schiavazzi DE, Karniadakis GE.   +3 more
europepmc   +1 more source

Deep generative classification of blood cell morphology. [PDF]

Nat Mach Intell
Deltadahl S, Gilbey J, Van Laer C, Boeckx N, Leers MPG, Freeman T, Aiken L, Farren T, Smith M, Zeina M, MacDonald S, Gleghorn D, BloodCounts! consortium, Rudd JH, Piazzese C, Taylor J, Gleadall N, Schönlieb CB, Sivapalaratnam S, Roberts M, Nachev P.   +20 more
europepmc   +1 more source

Assessment of uncertainty quantification in universal differential equations. [PDF]

Philos Trans A Math Phys Eng Sci
Schmid N, Fernandes Del Pozo D, Waegeman W, Hasenauer J.   +3 more
europepmc   +1 more source

Uncertainty quantification enables reliable deep learning for protein-ligand binding affinity prediction. [PDF]

Sci Rep
Rayka M, Naghavi SS.
europepmc   +1 more source

Deep learning network for NMR spectra reconstruction in time-frequency domain and quality assessment. [PDF]

Nat Commun
Luo Y, Chen W, Su Z, Shi X, Luo J, Qu X, Chen Z, Lin Y.   +7 more
europepmc   +1 more source

An Aleatoric Lunch

, 1964
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Probabilistic 3D Correspondence Prediction from Sparse Unsegmented Images. [PDF]

Mach Learn Med Imaging
Iyer K, Elhabian SY.
europepmc   +1 more source