Results 11 to 20 of about 3,089,076 (340)
Genome Biology, 2021 ispartof: GENOME BIOLOGY vol:22 issue ...
Felin, Teppo +4 more
openaire +5 more sources
A Survey on Bias and Fairness in Machine Learning [PDF]
ACM Computing Surveys, 2019 With the widespread use of artificial intelligence (AI) systems and applications in our everyday lives, accounting for fairness has gained significant importance in designing and engineering of such systems.
Ninareh Mehrabi +4 more
semanticscholar +1 more source
Wear recording at micro deep drawing tools with comparative digital holography [PDF]
Journal of the European Optical Society-Rapid Publications, 2012 We present a method to record the wear on samples of micro deep drawing tools. The method is based on the basic idea of comparative holography and captures three dimensionally the surface of the tool in the initial state and compares it with used state ...
Huferath-von Luepke S. +3 more
doaj +1 more source
Machine-learning ready data on the thermal power consumption of the Mars Express Spacecraft
Scientific Data, 2022 Measurement(s) electric current Technology Type(s) current readings in spacecraft housekeeping telemetry Sample Characteristic - Environment outer ...
Matej Petković +15 more
doaj +1 more source
Improving the Generic Camera Calibration technique by an extended model of calibration display [PDF]
Journal of the European Optical Society-Rapid Publications, 2014 Generic camera calibration is a method to characterize vision sensors by describing a line of sight for every single pixel. This procedure frees the calibration process from the restriction to pinhole-like optics that arises in the common photogrammetric
Reh T., Li W., Burke J., Bergmann R. B.
doaj +1 more source
Applied Sciences, 2021 Optical metrology is a key element for many areas of modern production. Preferably, measurements should take place within the production line (in-process) and keep pace with production speed, even if the parts have a complex geometry or are difficult to ...
Ralf B. Bergmann +2 more
doaj +1 more source
Catalogue of bias: publication bias [PDF]
BMJ Evidence-Based Medicine, 2018 Dickersin and Min define publication bias as the failure to publish the results of a study ‘on the basis of the direction or strength of the study findings’.1 This non-publication introduces a bias which impacts the ability to accurately synthesise and describe the evidence in a given area.2 Publication bias is a type of reporting bias and closely ...
Goldacre, B, DeVito, NJ
openaire +2 more sources
Language (Technology) is Power: A Critical Survey of “Bias” in NLP [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 We survey 146 papers analyzing “bias” in NLP systems, finding that their motivations are often vague, inconsistent, and lacking in normative reasoning, despite the fact that analyzing “bias” is an inherently normative process.
Su Lin Blodgett +3 more
semanticscholar +1 more source
Multicolor Holographic Display of 3D Scenes Using Referenceless Phase Holography (RELPH)
Photonics, 2021 In this paper, we present a multicolor display via referenceless phase holography (RELPH). RELPH permits the display of full optical wave fields (amplitude and phase) using two liquid crystal phase-only spatial light modulators in a Michelson ...
André F. Müller +3 more
doaj +1 more source
BBQ: A hand-built bias benchmark for question answering [PDF]
Findings, 2021 It is well documented that NLP models learn social biases, but little work has been done on how these biases manifest in model outputs for applied tasks like question answering (QA).
Alicia Parrish +7 more
semanticscholar +1 more source