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Publications associées (26)

Sub-Matrix Factorization for Real-Time Vote Prediction

Patrick Thiran, Matthias Grossglauser, Victor Kristof

We address the problem of predicting aggregate vote outcomes (e.g., national) from partial outcomes (e.g., regional) that are revealed sequentially. We combine matrix factorization techniques and generalized linear models (GLMs) to obtain a flexible, effic ...

2020

Genetically encoded betaxanthin-based small-molecular fluorescent reporter for mammalian cells

Leo Scheller, Karl Gademann, Simon Sieber

We designed and engineered a dye production cassette encoding a heterologous pathway, including human tyrosine hydroxylase and Amanita muscaria 4,5-DOPA dioxygenase, for the biosynthesis of the betaxanthin family of plant and fungal pigments in mammalian c ...

2020

Data-driven method for low-carbon building design at early stages

Thomas Bernard Paul Jusselme

The Paris agreement on climate change called for carbon neutrality as of 2050. The built environment is one of the major contributors to the greenhouse effect, representing 39% of global emissions. As a result, this sector is targeted by green standards an ...

EPFL2020

EaRL—Software for Earthquake Risk, Loss and Lifecycle Analysis

Dimitrios Lignos, Ahmed Mohamed Ahmed Elkady

Performance-based earthquake engineering (PBEE) has become an increasingly popular framework to design, retrofit and manage structures. This probabilistic framework integrates data from the seismic hazard, structural response, damage fragility and damage c ...

2020

Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures

Pascal Fua, Mathieu Salzmann, Agata Justyna Mosinska, Mateusz Kozinski

The difficulty of obtaining annotations to build training databases still slows down the adoption of recent deep learning approaches for biomedical image analysis. In this paper, we show that we can train a Deep Net to perform 3D volumetric delineation giv ...

2020

Improved susceptibility-weighted imaging for high contrast and resolution thalamic nuclei mapping at 7T

Meritxell Bach Cuadra, João Pedro Forjaco Jorge, Constantin Tuleasca, José Pedro Rebelo Ferreira Marques, Frédéric Gretsch, Daniel Gallichan, Elena Najdenovska

Purpose The thalamus is an important brain structure and neurosurgical target, but its constituting nuclei are challenging to image non-invasively. Recently, susceptibility-weighted imaging (SWI) at ultra-high field has shown promising capabilities for tha ...

Wiley2020

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