Search Results for author: Pierre Bessière

Found 3 papers, 0 papers with code

A simple, sensitive and quantitative FACS-based test for SARS-CoV-2 serology in humans and animals

no code implementations14 Jan 2022 Agnès Maurel Ribes, Pierre Bessière, Jean Charles Guéry, Eloïse Joly Featherstone, Timothée Bruel, Remy Robinot, Olivier Schwartz, Romain Volmer, Florence Abravanel, Jacques Izopet, Etienne Joly

Assays based on flow cytometry (FACS) of tissue culture cells expressing the spike (S) protein of SARS-CoV-2 have repeatedly proven to perform slightly better than the plate-based assays ELISA and CLIA (chemiluminescent immuno-assay), and markedly better than lateral flow immuno-assays (LFIA).

Cultural Vocal Bursts Intensity Prediction Specificity

Quick and energy-efficient Bayesian computing of binocular disparity using stochastic digital signals

no code implementations14 Sep 2016 Alexandre Coninx, Pierre Bessière, Jacques Droulez

Reconstruction of the tridimensional geometry of a visual scene using the binocular disparity information is an important issue in computer vision and mobile robotics, which can be formulated as a Bayesian inference problem.

Bayesian Inference

Toward Biochemical Probabilistic Computation

no code implementations9 Nov 2015 Jacques Droulez, David Colliaux, Audrey Houillon, Pierre Bessière

Indeed, Bayesian inference is a way to do optimal reasoning when only uncertain and incomplete information is available.

Bayesian Inference

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