Results 21 to 30 of about 17,970 (186)

Minimax Demographic Group Fairness in Federated Learning

2022 ACM Conference on Fairness Accountability and Transparency, 2022
arXiv admin note: substantial text overlap with arXiv:2110 ...
Papadaki, Afroditi, Martinez, Natalia, Bertran, Martin, Sapiro, Guillermo, Rodrigues, Miguel   +4 more
openaire   +3 more sources

Assessment and Integral Indexing of the Main Indicators of Oil and Gas Companies by Circular Convolution

Energies, 2022
In the oil and gas industry, which is the basis of the Russian energy market, a significant and urgent question arises: How to distribute companies according to their investment attractiveness? Accordingly, quantitative indicators are needed.
Irina Vygodchikova, Mikhail Gordienko, Natalia Natocheeva, Natalia Rud, Anzhela Namitulina   +4 more
doaj   +1 more source

Random action of compact Lie groups and minimax estimation of a mean pattern [PDF]

, 2011
This paper considers the problem of estimating a mean pattern in the setting of Grenander's pattern theory. Shape variability in a data set of curves or images is modeled by the random action of elements in a compact Lie group on an infinite dimensional ...
Bigot, Jérémie, Christophe, Claire, Gadat, Sebastien   +2 more
core   +7 more sources

Platform study of genotyping-guided precision medicine for rare solid tumours: a study protocol for a phase II, non-randomised, 18-month, open-label, multiarm, single-centre clinical trial testing the safety and efficacy of multiple Chinese-approved targeted drugs and PD-1 inhibitors in the treatment of metastatic rare tumours

BMJ Open, 2021
Introduction Limited clinical studies have been conducted on rare solid tumours, and there are few guidelines on the diagnosis and treatment, including experiences with targeted therapy and immunotherapy, of rare solid tumours in China, resulting in ...
Hui Wang, Ning Li, Wei Zhang, Dawei Wu, Hong Fang, Ying Bai, Hui-Yao Huang, Qi Fan, Yuan Wang, Shuhang Wang, Yuan Fang, Ning Jiang, Yu Tang, Chao Sun, Jianming Ying, Yue Yu, Anqi Yu, Shujun Xing, Yufen Ni, Chenhua Wu, Xinqian Ji, Yaqian Guo, Qiyu Tang   +22 more
doaj   +1 more source

Favoring the hierarchical constraint in penalized survival models for randomized trials in precision medicine

BMC Bioinformatics, 2023
Background The research of biomarker-treatment interactions is commonly investigated in randomized clinical trials (RCT) for improving medicine precision. The hierarchical interaction constraint states that an interaction should only be in a model if its
Shaima Belhechmi, Gwénaël Le Teuff, Riccardo De Bin, Federico Rotolo, Stefan Michiels   +4 more
doaj   +1 more source

Generic singularities of minimax solutions to Hamilton--Jacobi equations [PDF]

, 2004
Minimax solutions are weak solutions to Cauchy problems involving Hamilton--Jacobi equations, constructed from generating families quadratic at infinity of their geometric solutions.
Capitanio, Gianmarco
core   +3 more sources

Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models

BMC Bioinformatics, 2020
Background The standard lasso penalty and its extensions are commonly used to develop a regularized regression model while selecting candidate predictor variables on a time-to-event outcome in high-dimensional data. However, these selection methods focus
Shaima Belhechmi, Riccardo De Bin, Federico Rotolo, Stefan Michiels   +3 more
doaj   +1 more source

Promising medium-term results of anterior approach with an anatomical short stem in primary hip arthroplasty

Journal of Orthopaedics and Traumatology, 2021
Background In the last decade, the increase in the use of the direct anterior approach to the hip has contributed to the diffusion of the use of short stems in orthopedic surgery.
Fabrizio Rivera, Alessandro Bardelli, Andrea Giolitti   +2 more
doaj   +1 more source

Fast network configuration in Software Defined Networking [PDF]

, 2018
Software Defined Networking (SDN) provides a framework to dynamically adjust and re-program the data plane with the use of flow rules. The realization of highly adaptive SDNs with the ability to respond to changing demands or recover after a network ...
Achleitner, S., Bartolini, N., He, T., La Porta, T., Tootaghaj, D. Z.   +4 more
core   +1 more source

On convergence rates equivalency and sampling strategies in functional deconvolution models [PDF]

, 2010
Using the asymptotical minimax framework, we examine convergence rates equivalency between a continuous functional deconvolution model and its real-life discrete counterpart over a wide range of Besov balls and for the $L^2$-risk.
Pensky, Marianna, Sapatinas, Theofanis
core   +5 more sources