Concept

Erreur fondamentale d'attribution

Publications associées (15)

Wind, Hail, and Climate Extremes: Modelling and Attribution Studies for Environmental Data

This thesis presents work at the junction of statistics and climate science. We first provide methodology for use by climate scientists when performing fast event attribution using extreme value theory, and then describe two interdisciplinary projects in c ...

EPFL2023

Information Processing Biases: The Effects of Negative Emotional Symptoms on Sampling Pleasant and Unpleasant Information

Steffen Alexander Herff

Although theories of emotion associate negative emotional symptoms with cognitive biases in information processing, they rarely specify the details. Here, we characterize cognitive biases in information processing of pleasant and unpleasant information, an ...

AMER PSYCHOLOGICAL ASSOC2022

Selective attention involves a feature-specific sequential release from inhibitory gating

David Pascucci, Gijs Plomp

Selective attention is a fundamental cognitive mechanism that allows our brain to preferentially process relevant sensory information, while filtering out distracting information. Attention is thought to flexibly gate the communication of irrelevant inform ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2022

ClimateBench v1.0: A Benchmark for Data-Driven Climate Projections

You Rao

Many different emission pathways exist that are compatible with the Paris climate agreement, and many more are possible that miss that target. While some of the most complex Earth System Models have simulated a small selection of Shared Socioeconomic Pathw ...

AMER GEOPHYSICAL UNION2022

Human biases in body measurement estimation

Robert West, Venkata Rama Kiran Garimella

Body measurements, including weight and height, are key indicators of health. Being able to visually assess body measurements reliably is a step towards increased awareness of overweight and obesity and is thus important for public health. Nevertheless it ...

SPRINGER2020

Controlling the bias error of Fokker- Planck methods for rarefied gas dynamics simulations

Direct simulation Monte-Carlo (DSMC) is the most established method for rarefied gas flow simulations. It is valid from continuum to near vacuum, but in cases involving small Knudsen numbers (Kn), it suffers from high computational cost. The Fokker-Planck ...

2019

Application of Association Rules to Determine Building Typological Classes for Seismic Damage Predictions at Regional Scale: The Case Study of Basel

Pierino Lestuzzi, Yves Sylvain Gilles Reuland, Lorenzo Diana

Assessing seismic vulnerability at large scales requires accurate attribution of individual buildings to more general typological classes that are representative of the seismic behavior of the buildings sharing same attributes. One-by-one evaluation of all ...

2019

Model-assisted identification of solid oxide cell elementary processes by electrochemical impedance spectroscopy measurements

Jan Van Herle, Stefan Diethelm, Arata Nakajo, Priscilla Caliandro

Electrochemical Impedance Spectroscopy (EIS) is extensively used to characterize Solid Oxide Cells (SOCs) to extract information on the elementary loss mechanisms. However, these individual mechanisms usually overlap in the frequency domain, requiring dedi ...

ELSEVIER2019

Scheduling trips through a bottleneck: monotonicity and stability

Nikolaos Geroliminis, Raphael Ali Francis Lamotte

This paper investigates the stability of departure time choice within a population of commuters that need to pass through a bottleneck of constant capacity. It is shown that the corresponding utility function is monotonic if and only if the marginal utilit ...

2019

You're Doing It Wrong! Studying Unexpected Behaviors in Child-Robot Interaction

Pierre Dillenbourg, Francesco Mondada, Séverin Lemaignan, Julia Fink

We present a study on the impact of unexpected robot behaviors on the perception of a robot by children and their subsequent engagement in a playful interaction based on a novel ”domino” task. We propose an original analysis methodology which blends behavi ...

Springer International Publishing2015

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