Results 1 to 10 of about 1,630,900 (354)

Effect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making [PDF]

open access: yesFAT*, 2020
Today, AI is being increasingly used to help human experts make decisions in high-stakes scenarios. In these scenarios, full automation is often undesirable, not only due to the significance of the outcome, but also because human experts can draw on ...
Yunfeng Zhang   +2 more
semanticscholar   +1 more source

Frost/Dew Point Temperature and Relative Humidity Measurements: Primary and Secondary Calibration Methods [PDF]

open access: yesEPJ Web of Conferences
Humidity measurements are crucial across various industries to ensure product quality, safety, and process efficiency. These measurements can be expressed as absolute quantities, such as frost/dew point, temperatures point, tf/td, or as relative humidity,
Furtado Andreia   +4 more
doaj   +1 more source

Cellulose Degradation and Transformer Fault Detection by the Application of Integrated Analyses of Gases and Low Molecular Weight Alcohols Dissolved in Mineral Oil

open access: yesEnergies, 2022
This article presents a method for quantification of methanol and ethanol integrated in the same gas-chromatographic run with a quantification of gases dissolved in mineral oil, making it an integrated tool in transformer diagnostics.
Draginja Mihajlovic   +3 more
doaj   +1 more source

Marine20—The Marine Radiocarbon Age Calibration Curve (0–55,000 cal BP)

open access: yesRadiocarbon: An International Journal of Cosmogenic Isotope Research, 2020
The concentration of radiocarbon (14C) differs between ocean and atmosphere. Radiocarbon determinations from samples which obtained their 14C in the marine environment therefore need a marine-specific calibration curve and cannot be calibrated directly ...
T. Heaton   +15 more
semanticscholar   +1 more source

Improving Calibration for Long-Tailed Recognition [PDF]

open access: yesComputer Vision and Pattern Recognition, 2020
Deep neural networks may perform poorly when training datasets are heavily class-imbalanced. Recently, two-stage methods decouple representation learning and classifier learning to improve performance. But there is still the vital issue of miscalibration.
Zhisheng Zhong   +3 more
semanticscholar   +1 more source

Regulation and Characterization of Polar Groups on the Surfaces of Cellulose Nanocrystal–Nanosilver Hybrids

open access: yesBioResources, 2023
Cellulose nanocrystals (CNCs) with a high content of polar groups were prepared via the oxidation process by controlling the amount of mixed acid, incorporating additional additive of citric acid and vitamin C as active agents, and applying ultrasonic ...
Fangfang Lu   +5 more
doaj   +2 more sources

CROSS-CALIBRATION OF THE RAPIDEYE MULTISPECTRAL IMAGER PAYLOADS USING PSEUDO-INVARIANT TEST SITES [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
Radiometric calibration of the RapidEye Multispectral Imager (MSI) as with all other remote sensing instruments is an essential task in the quantitative assessment of sensor image quality and the production of accurate data products for a wide range of ...
M. Thiele, C. Anderson, A. Brunn
doaj   +1 more source

To Calibrate, or Not to Calibrate? [PDF]

open access: yesInformation Display, 2009
HDTV calibration services are a profitable up‐sell for retailers. Do consumers really care about or need them?
openaire   +1 more source

Learn-By-Calibrating: Using Calibration As A Training Objective [PDF]

open access: yesICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Calibration error is commonly adopted for evaluating the quality of uncertainty estimators in deep neural networks. In this paper, we argue that such a metric is highly beneficial for training predictive models, even when we do not explicitly measure the uncertainties.
Jayaraman J. Thiagarajan   +2 more
openaire   +2 more sources

Good Laboratory Practice in Particle Measurement Calibration: Cascade Impactor

open access: yesKONA Powder and Particle Journal, 2014
A laboratory often is faced with the task of calibrating particle inertial classifiers or investigating how instruments, or systems, respond to particles of specific sizes.
Virgil A. Marple, Bernard A. Olson
doaj   +1 more source

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