Published in Biometrical journal. Biometrische Zeitschrift
Cross-validation is the standard method for hyperparameter tuning, or calibration, of machine learning algorithms. The adaptive lasso is a popular class of penalized approaches based on weighted L1 -norm penalties, with weights derived from an initial estimate of the model parameter. Although it violates the paramount principle of cross-validation,...
Les critères de Dymoa étaient adaptés pour le diagnostic d'infrastructure par l'analyse des incidents et évènements recueillis, et pour l'observation de l'utilisation réelle des capacités dynamiques d'un 2RM et des styles de conduite (entre 2RM, 2RM/4RM pour certaines grandeurs physiques uniquement). Ils sont par contre moins efficaces pour différe...
Published in Journal of clinical medicine
previous studies showed that women have a higher mortality risk than men after out-of-hospital cardiac arrest (OHCA). This sex difference may disappear after adjustment for cardiac arrest characteristics. Most studies also included patients who were not admitted to the intensive care unit (ICU). We analyzed whether sex impacts the mortality of ICU-...
GECCO 2021, Genetic and Evolutionary Computation Conference Companion, Lille , FRANCE, 10-/07/2021 - 14/07/2021
In this paper, we introduce a hybridization-based feedback control synthesis method for potentially unstable nonlinear continuous-time systems. We construct a discretization and feedback control that ensures dissipation form of incremental input-to-state stability property that a number of abstraction-based control methods rely on or benefit from. ...
CTS 2021, 16th IFAC Symposium on Control in Transportation Systems, Lille , FRANCE, 08-/06/2021 - 10/06/2021
Dynamic system fault diagnosis is often faced with a large number of possible faults. The purpose of this paper is to propose an efficient method for such situations. To avoid intractable combinatorial problems, sparse estimation techniques appear to be a powerful tool for isolating faults, under the assumption that only a small number of possible ...
Published in PLoS ONE
Betweenness Centrality (BC) has proven to be a fundamental metric in many domains to identify the components (nodes) of a system modelled as a graph that are mostly traversed by information flows thus being critical to the proper functioning of the system itself. In the transportation domain, the metric has been mainly adopted to discover topologic...
We study how grain shapes impact multiphase flow in porous media in the quasi-static regime using an extended pore-network model. The algorithm allows the explicit determination of different types of pore-scale instabilities and tracks the interface motion during fluid-fluid displacement process. It also includes the volume capacitance model, such ...
This paper proposes different algorithms to tackle the Generalized Train Unit Shunting Problem (G-TUSP). This is the pre-operational problem of managing rolling stock in a station, between arrivals and departures. It includes four sub-problems: the Train Matching Problem, the Track Assignment Problem, the Shunting Routing Problem, and the Shunting ...
