Convex and nonconvex nonparametric frontier-based classification methods for anomaly detection
status: Published online
Structural anomaly detection based on probabilistic distance measures of transmissibility function and statistical thres...
status: published
An automated machine learning-based approach for structural novelty detection based on SHM
Eurostruct 2021, Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures, Padoue, ITALIE, 29-/08/2021 - 01/09/2021
Vital Signs Prediction and Early Warning Score Calculation Based on Continuous Monitoring of Hospitalised Patients Using...
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In this prospective, interventional, international study, we investigate continuous monitoring of hospitalised patients' vital signs using wearable technology as a basis for real-time early warning scores (EWS) estimation and vital signs time-series prediction. The collected continuous monitored vital signs are heart rate, blood pressure, respirati...
Review on structural damage assessment via transmissibility with vibration based measurements
Anomaly detection using the Poisson process limit for extremes
Anomaly detection starts from a model of normal behavior and classifies departures from this model as anomalies. This paper introduces a statistical non-parametric approach for anomaly detection that is based on a multivariate extension of the Poisson point process model for univariate extremes. The method is demonstrated on both a synthetic and a ...
Contribution à la caractérisation de la mémoire des aliments
Dans le domaine des choix et préférences alimentaires, l’acquis l’emporte largement sur l’inné. La mémoire, support des apprentissages alimentaires, joue donc un rôle fondamental dans nos comportements alimentaires. Ce travail présente une série d’expériences basées sur le paradigme de reconnaissance suivant : lors d’une première séance, les partic...
