Results 11 to 20 of about 5,048,446 (317)
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges [PDF]
Uncertainty quantification (UQ) plays a pivotal role in reduction of uncertainties during both optimization and decision making processes. It can be applied to solve a variety of real-world applications in science and engineering.
M. Abdar +11 more
semanticscholar +1 more source
Discovery and quantification of plastic particle pollution in human blood.
Plastic particles are ubiquitous pollutants in the living environment and food chain but no study to date has reported on the internal exposure of plastic particles in human blood.
H. Leslie +5 more
semanticscholar +1 more source
Branching Quantification v. Two-way Quantification [PDF]
We discuss the thesis formulated by Hintikka (1973) that certain natural language sentences require non-linear quantification to express their meaning. We investigate sentences with combinations of quantifiers similar to Hintikka's examples and propose a novel alternative reading expressible by linear formulae.
Gierasimczuk, N, Szymanik, J
openaire +2 more sources
Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference
We introduce Salmon, a lightweight method for quantifying transcript abundance from RNA–seq reads. Salmon combines a new dual-phase parallel inference algorithm and feature-rich bias models with an ultra-fast read mapping procedure.
Rob Patro +4 more
semanticscholar +1 more source
Paralytic shellfish toxins (PSTs) are a large group of biotoxins that cause paralytic shellfish poisoning. Their appearance in natural waters and their ingestion by aquatic species have a huge socio-economic impact, whereby their monitoring is of the ...
Joana F. Leal, Maria L. S. Cristiano
doaj +1 more source
The PRoteomics IDEntifications (PRIDE) database (https://www.ebi.ac.uk/pride/) is the world’s largest data repository of mass spectrometry-based proteomics data, and is one of the founding members of the global ProteomeXchange (PX) consortium.
Yasset Pérez-Riverol +22 more
semanticscholar +1 more source
Small-sided games (SSGs) are a useful strategy to optimize the training process in soccer. The modification of some variables simultaneously implies several physical adaptations in soccer players.
Javier Sánchez-Sánchez +6 more
doaj +1 more source
Optimal Uncertainty Quantification [PDF]
We propose a rigorous framework for Uncertainty Quantification (UQ) in which the UQ objectives and the assumptions/information set are brought to the forefront.
Bentkus V. +18 more
core +2 more sources
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
BackgroundRNA-Seq is revolutionizing the way transcript abundances are measured. A key challenge in transcript quantification from RNA-Seq data is the handling of reads that map to multiple genes or isoforms.
Bo Li, Colin N. Dewey
semanticscholar +1 more source
Convex Optimal Uncertainty Quantification [PDF]
Optimal uncertainty quantification (OUQ) is a framework for numerical extreme-case analysis of stochastic systems with imperfect knowledge of the underlying probability distribution.
Han, Shuo +4 more
core +3 more sources

