Category
Survival analysis
Related publications (321)
A story of two transitions: From adhesive to abrasive wear and from ductile to brittle regime
Jean-François Molinari, Sacha Zenon Wattel
Atomistic simulations performed with a family of model potential with tunable hardness have proven to be a great tool for advancing the understanding of wear processes at the asperity level. They have been instrumental in finding a critical length scale, w ...
2024Tree diversity reduces variability in sapling survival under drought
Charlotte Grossiord, Jingjing Liang, Xiaojuan Liu
Enhancing tree diversity may be important to fostering resilience to drought-related climate extremes. So far, little attention has been given to whether tree diversity can increase the survival of trees and reduce its variability in young forest plantatio ...
Wiley2024Effects of Hyporheic Exchange and Settlement on the Particle Size Distribution of Colloids
David Andrew Barry, Qihao Jiang
Colloid particle size plays an important role in contaminant adsorption and clogging in the hyporheic zone, but it remains unclear how the particle size changes during the transport of colloids. This study investigated the variation of the particle size of ...
New York2024Scalable and Privacy-Preserving Federated Principal Component Analysis
Jean-Pierre Hubaux, Juan Ramón Troncoso-Pastoriza, Jean-Philippe Léonard Bossuat, Apostolos Pyrgelis, David Jules Froelicher, Joao André Gomes de Sá e Sousa
Principal component analysis (PCA) is an essential algorithm for dimensionality reduction in many data science domains. We address the problem of performing a federated PCA on private data distributed among multiple data providers while ensuring data confi ...
IEEE COMPUTER SOC2023Using Gaming Footage as a Source of Internet Latency Information
Catalina Paz Alvarez Inostroza
Keeping track of Internet latency is a classic measurement problem. Open measurement platforms like RIPE Atlas are a great solution, but they also face challenges: preventing network overload that may result from uncontrolled active measurements, and maint ...
2023swissALPS: a Dataset for Imbalanced Land Cover Mapping in Alpine Regions
Our dataset consists of very high-resolution aerial images (50cm) and a digital elevation model (50cm) that covers approx. 2300 km2 of land above 2000m altitude in the southwestern part of Switzerland. Our land cover labels focus on alpine land cover that ...
IEEE DataPort2023Benign Overfitting in Deep Neural Networks under Lazy Training
Volkan Cevher, Grigorios Chrysos, Fanghui Liu, Zhenyu Zhu
This paper focuses on over-parameterized deep neural networks (DNNs) with ReLU activation functions and proves that when the data distribution is well-separated, DNNs can achieve Bayesoptimal test error for classification while obtaining (nearly) zero-trai ...
2023System for automated and dynamic cell culture
The present relates to a system for automated cell culture, the system comprising an inflow module, a cell culture plate and an outflow module, said inflow module being in fluid connection with the outflow module via the cell culture plate, the inflow modu ...
2023Beyond the ultradeep frontier fields and legacy observations (BUFFALO): a high-resolution strong plus weak-lensing view of Abell 370
David Richard Harvey, Mathilde Jauzac
The HST treasury programme BUFFALO provides extended wide-field imaging of the six Hubble Frontier Fields galaxy clusters. Here we present the combined strong and weak-lensing analysis of Abell 370, a massive cluster at z = 0.375. From the reconstructed to ...
OXFORD UNIV PRESS2023Feature distribution learning by passive exposure
Humans can rapidly estimate the statistical properties of groups of stimuli, including their average and variability. But recent studies of so-called Feature Distribution Learning (FDL) have shown that observers can quickly learn even more complex aspects ...
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