Publications associées à La Structure des révolutions scientifiques

Sparse autoregressive neural networks for classical spin systems

Efficient sampling and approximation of Boltzmann distributions involving large sets of binary variables, or spins, are pivotal in diverse scientific fields even beyond physics. Recent advances in generative neural networks have significantly impacted this ...

Iop Publishing Ltd2024

Why is the winner the best?

Gabriel Girard, Jian Wang, Ho Ling Li, Adrien Raphaël Depeursinge, Yong Yang, Fan Xia, Xiao Wang, Jing Li, Hui Wang

International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to investigating what can be learnt from these competitions. Do they really gener ...

Ieee Computer Soc2023

Risk of incorrect choices due to uncertainty in BPS evaluations of conceptual-stage neighbourhood-scale building designs

Marilyne Andersen, Luisa Pastore, Minu Agarwal

At the conceptual stage, building performance simulation (BPS) based evaluations are being increasingly used for tasks such as ranking of competing massing design proposals. However, such conceptual stage evaluations suffer from information deficiency in b ...

2023

Let's move forward: Image-computable models and a common model evaluation scheme are prerequisites for a scientific understanding of human vision

Martin Schrimpf, Matthias Bethge

In the target article, Bowers et al. dispute deep artificial neural network (ANN) models as the currently leading models of human vision without producing alternatives. They eschew the use of public benchmarking platforms to compare vision models with the ...

Cambridge Univ Press2023

Combating Online Scientific Misinformation

Panagiotis Smeros

The drastic shift towards digital communication in our mediasphere has caused a profound change in the production and consumption of information, which in turn has substantial implications on the social and political landscape. Misinformation, as a side ef ...

EPFL2022

SciClops: Detecting and Contextualizing Scientific Claims for Assisting Manual Fact-Checking

Karl Aberer, Panagiotis Smeros, Carlos Castillo

This paper describes SciClops, a method to help combat online scientific misinformation. Although automated fact-checking methods have gained significant attention recently, they require pre-existing ground-truth evidence, which, in the scientific context, ...

ACM2021

Does It Pay to Do Novel Science? The Selectivity Patterns in Science Funding

Fabiana Visentin, Charles Chadi Ayoubi, Michele Pezzoni

Public funding agencies aim to fund novel breakthrough research to promote the radical scientific discoveries of tomorrow. Identifying the profiles of scientists being financed to pursue their research is therefore crucial. This paper shows that the fundin ...

OXFORD UNIV PRESS2021

Archiving the Leftovers of Science: Metadata and Histories of Scientific Institutions

Alina Volynskaya

In this article, I focus on digital scientific archives which are made up of the leftovers of science, such as drafts, obsolete instruments, photographs, documentation, etc. The artifacts exhibited in such collections were neither meant to be representatio ...

2021

Effective stress for unsaturated active clays and in-situ effective stress estimation methodology

Angelica Tuttolomondo

The complexity of the mechanics of active clays and, more generally, of geomaterials with clay minerals, under saturated and unsaturated conditions, still provides relevant scientific challenges today. Equally relevant challenges are the understanding of t ...

EPFL2021

Super adsorption performance of carboxymethyl cellulose/copper oxide-nickel oxide nanocomposite toward the removal of organic and inorganic pollutants

Shaik Mohammed Zakeeruddin

A novel nanocomposite bead based on polymeric matrix of carboxymethyl cellulose and copper oxide-nickel oxide nanoparticles was synthesized, characterized, and applied for adsorptive removal of inorganic and organic contaminants at trace level of part per ...

SPRINGER HEIDELBERG2021