Results 71 to 80 of about 3,053,264 (345)
Rebiasing: Managing automatic biases over time
Frontiers in Psychology, 2022 Automatic preferences can influence a decision maker’s choice before any relevant or meaningful information is available. We account for this element of human cognition in a computational model of problem solving that involves active trial and error and ...
Aleksey Korniychuk, Eric Luis Uhlmann
doaj +1 more source
Errors in climate model daily precipitation and temperature output: time invariance and implications for bias correction [PDF]
, 2013 When correcting for biases in general circulation model (GCM) output, for example when statistically downscaling for regional and local impacts studies, a common assumption is that the GCM biases can be characterized by comparing model simulations and ...
Cayan, Daniel R. +2 more
core +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Retinoblastoma (RB) is the most common pediatric ocular cancer, yet population‐based data on survival and risk factors remain limited. This study aimed to describe survival in a large national RB cohort and identify predictors of death and complications.
Samuel Sassine +14 more
wiley +1 more source
IDP, 2023 Over the past decade, concern has grown regarding the risks generated by the use of artificial intelligence systems. One of the main problems associated with the use of these systems is the harm they have been proven to cause to the fundamental right to ...
Alba Soriano Arnanz
doaj +1 more source
Systematic biases in human heading estimation. [PDF]
, 2013 Heading estimation is vital to everyday navigation and locomotion. Despite extensive behavioral and physiological research on both visual and vestibular heading estimation over more than two decades, the accuracy of heading estimation has not yet been ...
Cuturi, Luigi F., MacNeilage, Paul R.
core +2 more sources
Biased Models Have Biased Explanations
, 2020 We study fairness in Machine Learning (FairML) through the lens of attribute-based explanations generated for machine learning models. Our hypothesis is: Biased Models have Biased Explanations. To establish that, we first translate existing statistical notions of group fairness and define these notions in terms of explanations given by the model. Then,
Jain, Aditya +2 more
openaire +2 more sources
Gender biases in estimation of others' pain.
Journal of Pain, 2021 Caregiving and other interpersonal interactions often require accurate perception of others' pain from nonverbal cues, but perceivers may be subject to systematic biases based on gender, race, and other contextual factors. Such biases could contribute to
Lanlan Zhang +4 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background and Aims Wilms tumour (WT) has excellent event‐free and overall survival (OS). However, small differences exist between countries participating in the same international study. This led us to examine variation in adherence to protocol recommendations as a potential contributing factor.
Suzanne Tugnait +23 more
wiley +1 more source
Наукові записки НаУКМА: Економічні науки, 2021 The aim of this article is to reveal the main reasons for the irrational behaviour of economic agents during the COVID-19 coronavirus pandemic in terms of behavioural economics and opportunities for change such a behaviour.
Maksym Synytsya
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski +9 more
wiley +1 more source