output
20182023
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations

6 papers

eess.IV2023★ 12 cited

Glioma subtype classification from histopathological images using in-domain and out-of-domain transfer learning: An experimental study

Vladimir Despotovic, Sang-Yoon Kim, Ann-Christin Hau +6

We provide in this paper a comprehensive comparison of various transfer learning strategies and deep learning architectures for computer-aided classification of adult-type diffuse…

physics.class-ph2023★ 1 cited

Diffusion in Phase Space as a Tool to Assess Variability of Vertical Centre-of-Mass Motion During Long-Range Walking

N. Boulanger, F. Buisseret, V. Dehouck +2

When a Hamiltonian system undergoes a stochastic, time-dependent anharmonic perturbation, the values of its adiabatic invariants as a function of time follow a distribution whose s…

cs.LG2022★ 390 cited

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Sarthak Pati, Ujjwal Baid, Brandon Edwards +276

Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…

physics.flu-dyn2021★ 12 cited

Assessment of one-way coupling methods from a potential to a viscous flow solver based on domain- and functional-decomposition for fixed submerged bodies in nonlinear waves

Fabien Robaux, Michel Benoit

To simulate the interaction of ocean waves with marine structures, coupling approaches between a potential flow model and a viscous model are investigated. The first model is a ful…

physics.class-ph2021★ 7 cited

Motor strategies and adiabatic invariants: The case of rhythmic motion in parabolic flights

N. Boulanger, F. Buisseret, V. Dehouck +2

The role of gravity in human motor control is at the same time obvious and difficult to isolate. It can be assessed by performing experiments in variable gravity. We propose that a…

physics.comp-ph2018★ 1 cited

A simple numerical scheme for the 2D shallow-water system

Jie Hu

This paper presents a simple numerical scheme for the two dimensional Shallow-Water Equations (SWEs). Inspired by the study of numerical approximation of the one dimensional SWEs A…