output
20172026
most citedConvolutional neural network for breathing phase detection in lung sounds

62 citations

6 papers

physics.gen-ph2026

Predicting Radial Velocities from Rossiter-McLaughlin Time Series Observations

Vardan Adibekyan, Olivier Demangeon, Diogo Teixeira +7

The Rossiter-McLaughlin (RM) effect produces apparent radial velocity (RV) shifts through line-profile distortions caused by a transiting planet blocking different regions of the r…

cs.RO2026

Robust Adaptive Backstepping Impedance Control of Robots in Unknown Environments

Reza Nazmara, Alap Kshirsagar, Jan Peters +1

This paper presents a Robust Adaptive Backstepping Impedance Control (RABIC) strategy for robots operating in contact-rich and uncertain environments. The proposed control strategy…

physics.bio-ph2023★ 11 cited

Molecular acclimation of Halobacterium salinarum to halite brine inclusions

C. Favreau, A. Tribondeau, M. Marugan +8

Halophilic microorganisms have long been known to survive within the brine inclusions of salt crystals, as evidenced by the change in color for salt crystals containing pigmented h…

q-bio.BM2021★ 9 cited

Glutathione conjugates of the mercapturic acid pathway and guanine adduct as biomarkers of exposure to CEES, a sulfur mustard analog

Marie Roser, David Béal, Camille Eldin +8

Sulfur mustard (SM), a chemical warfare agent, is a strong alkylating compound that readily reacts with numerous biomolecules. The goal of the present work was to define and valida…

cs.CV2019★ 62 cited

Convolutional neural network for breathing phase detection in lung sounds

Cristina Jácome, Johan Ravn, Einar Holsbø +3

We applied deep learning to create an algorithm for breathing phase detection in lung sound recordings, and we compared the breathing phases detected by the algorithm and manually…

math.ST2017★ 1 cited

New efficient algorithms for multiple change-point detection with kernels

Alain Celisse, Guillemette Marot, Morgane Pierre-Jean +1

Several statistical approaches based on reproducing kernels have been proposed to detect abrupt changes arising in the full distribution of the observations and not only in the mea…