A semi-automated workflow paradigm for the distributed creation and curation of expert annotations

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Publications associées (29)

Entropy production in systems with unidirectional transitions

Amos Maritan, Daniel Maria Busiello

The entropy production is one of the most essential features for systems operating out of equilibrium. The formulation for discrete-state systems goes back to the celebrated Schnakenberg's work and hitherto can be carried out when for each transition betwe ...

2020

Ultra-high-resolution software-defined photonic terahertz spectroscopy

Gabriel Aeppli

A novel technique for high-resolution 1.5 mu m photonics-enabled terahertz (THz) spectroscopy using software control of the illumination spectral line shape (SLS) is presented. The technique enhances the performance of a continuous-wave THz spectrometer to ...

2020

Orbital effect and weak localization in the longitudinal magnetoresistance of Weyl semimetals NbP, NbAs, TaP, and TaAs

Philip Johannes Walter Moll, Maja Deborah Bachmann

Weyl semimetals such as the TaAs family (TaAs, TaP, NbAs, NbP) host quasiparticle excitations resemblingthe long-sought-after Weyl fermions at special band-crossing points in the band structure denoted as Weylnodes. They are predicted to exhibit a negative ...

2020

When illusions merge

Michael Herzog, Gregory Francis, Aline Françoise Cretenoud

We recently found only weak correlations between the susceptibility to various visual illusions. However, we observed strong correlations among different variants of an illusion, suggesting that the visual space of illusions includes several illusion-speci ...

2020

Software training for the next generation of physicists: joint experience of LHCb and ALICE

Violaine Bellée

The need for good software training is essential in the HEP community. Unfortunately, current training is non -homogeneous and the definition of a common baseline is unclear, making it difficult for newcomers to proficiently join large collaborations such ...

E D P SCIENCES2019

A novel biomechanical approach for animal behaviour recognition using accelerometers

Kamiar Aminian, Pritish Chakravarty

Data from animal-borne inertial sensors are widely used to investigate several aspects of an animal's life, such as energy expenditure, daily activity patterns and behaviour. Accelerometer data used in conjunction with machine learning algorithms have b ...

2019

Percolation and Internet Science

Emanuele Massaro

Percolation, in its most general interpretation, refers to the “flow” of something (a physical agent, data or information) in a network, possibly accompanied by some nonlinear dynamical processes on the network nodes (sometimes denoted reaction–diffusion s ...

2019

An Automatic, Data-Driven Definition of Atomic-Scale Structural Motifs

Piero Gasparotto

Structure-property relationships at the atomic scale are usually understood in terms of recurrent structural motifs formed by atoms and molecules, and how they transform and interact with each other. We introduce with this thesis a novel analysis approach, ...

EPFL2018

A Computer Vision System to Localize and Classify Wastes on the Streets

Jean-Philippe Thiran, Andreas von Kaenel, Mohammad Saeed Rad, André Droux, Hazim Kemal Ekenel

Littering quantification is an important step for improving cleanliness of cities. When human interpretation is too cumbersome or in some cases impossible, an objective index of cleanliness could reduce the littering by awareness actions. In this paper, we ...

Springer International Publishing2017

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