Concept

Bias

Related publications (171)

Robust Tightly Coupled GNSS/INS Estimation for Navigation in Challenging Scenarios

Jan Skaloud, Omar Garcia Crespillo, Michael Meurer

The combination of Global Navigation Satellite Systems (GNSS) and Inertial Navigation System (INS) has become the baseline of many transportation applications. In this work, we design a tightly-coupled integration between GNSS and INS where we modify the u ...

2017

A Regression-based User Calibration Framework for Real-time Gaze Estimation

Jean-Philippe Thiran, Nuri Murat Arar, Hua Gao

Eye movements play a very significant role in human computer interaction (HCI) as they are natural and fast, and contain important cues for human cognitive state and visual attention. Over the last two decades, many techniques have been proposed to accurat ...

Institute of Electrical and Electronics Engineers2017

Heading for new shores! Overcoming pitfalls in BCI design

Ricardo Andres Chavarriaga Lozano

Research in brain-computer interfaces has achieved impressive progress towards implementing assistive technologies for restoration or substitution of lost motor capabilities, as well as supporting technologies for able-bodied subjects. Notwithstanding this ...

Taylor & Francis Ltd2017

The consequences of not accounting for background selection in demographic inference

Jeffrey David Jensen, Gregory Bruce Ewing

Recently, there has been increased awareness of the role of background selection (BGS) in both data analysis and modelling advances. However, BGS is still difficult to take into account because of tractability issues with simulations and difficulty with no ...

Wiley-Blackwell2016

Probing the Limits of Social Data

Alexandra Olteanu

Online social data has been hailed to provide unprecedented insights into human phenomena due to its ability to capture human behavior at a scale and level of detail, both in breadth and depth, that is hard to achieve through conventional data collection t ...

EPFL2016

Inference for binomial probability based on dependent Bernoulli random variables with applications to meta-analysis and group level studies

Stephan Morgenthaler

We study bias arising as a result of nonlinear transformations of random variables in random or mixed effects models and its effect on inference in group-level studies or in meta-analysis. The findings are illustrated on the example of overdispersed binomi ...

Wiley-Blackwell2016

Quantifying the Bullwhip Effect Using Two-Echelon Data: A Cross-Industry Empirical Investigation

Ralf Seifert, Olov Isaksson

The bullwhip effect denotes the phenomenon whereby demand variability is amplified from a downstream site (buyer) to an upstream site (supplier) in the supply chain. This paper contributes to the literature that empirically investigates the bullwhip effect ...

Elsevier2016

COSMOGRAIL: the COSmological MOnitoring of GRAvItational Lenses XV. Assessing the achievability and precision of time-delay measurements

Frédéric Courbin, Georges Meylan, Thibault Adrien Kuntzer, Malte Tewes, Vivien François Bonvin

COSMOGRAIL is a long-term photometric monitoring of gravitationally lensed quasars aimed at implementing Refsdal's time-delay method to measure cosmological parameters, in particular H-0. Given the long and well sampled light curves of strongly lensed quas ...

Edp Sciences S A2016

Excess success for three related papers on racial bias

Gregory Francis

Three related articles reported that racial bias altered perceptual experience and influenced decision-making. These findings have been applied to training programs for law enforcement, and elsewhere, to mitigate racial bias. However, a statistical analysi ...

Frontiers Research Foundation2015

How to Sequentialize Independent Parallel Attacks? - Biased Distributions Have a Phase Transition

Serge Vaudenay, Sonia Mihaela Bogos

We assume a scenario where an attacker can mount several independent attacks on a single CPU. Each attack can be run several times in independent ways. Each attack can succeed after a given number of steps with some given and known probability. A natural q ...

2015

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