Results 161 to 170 of about 13,509 (257)

Spatial signatures of group cohesion

Methods in Ecology and Evolution, EarlyView.
Abstract Wildlife populations are undergoing unprecedented changes to their spatial distributions as a result of human activities. Innovative approaches are needed to document these changes, especially in cases where sampling is sparse. Here, we contribute to the tools available in spatial ecology by developing novel metrics based on the coefficient of
Nicola E. Love, Sarah P. Otto
wiley   +1 more source

Optimization of cross-institutional medical federated learning framework driven by confidential computing. [PDF]

Sci Rep
Xu F, Wei X, Zhao Z, Sun P.
europepmc   +1 more source

Mitigating policy uncertainty: What financial markets reveal about firm‐level lobbying

American Journal of Political Science, EarlyView.
Abstract Elections can lead to substantial policy changes and, thus, are a significant source of risk. Firms can respond to such policy uncertainty by lobbying, but it is hard to quantify whether they do so and, if so, how much lobbying benefits them. We construct a new dataset and leverage investors’ expectations of variability in stock returns in the
Kristy Buzard, Nathan Canen, Sebastian Saiegh   +2 more
wiley   +1 more source

Robust federated learning for UAV object detection: a joint self-distillation and drift compensation approach. [PDF]

Front Neurorobot
Hangsun Y, Jiang C, Zhang Z, Ouyang H, Chen P.   +4 more
europepmc   +1 more source

What exploitation is

American Journal of Political Science, EarlyView.
Abstract We experimentally elicit views of what exploitation is from over 2,000 subjects. Our experimental design does not test existing theories of exploitation. Rather, it focuses on more fundamental properties that are the building blocks for these theories.
Benjamin Ferguson, Peter Hans Matthews, David Ronayne, Roberto Veneziani   +3 more
wiley   +1 more source

A Privacy-Preserving Artificial Intelligence-Driven Sensing System for Distributed Multimodal Risk Detection. [PDF]

Sensors (Basel)
Zhu Y, Song Y, Xuan Y, Song Y, Pu J, Li J, Li M.   +6 more
europepmc   +1 more source

A Bayes factor framework for unified parameter estimation and hypothesis testing

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley   +1 more source

Data-driven predictive maintenance of induction motors using self-supervised and federated learning on noisy current and vibration signals. [PDF]

Sci Rep
Gopalakrishnan T, Shanmugasundaram N, Simon D, Chan CK, Sonawane C, Dixit S, Bongale A.   +6 more
europepmc   +1 more source

Power priors for latent variable mediation models under small sample sizes

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Latent variable models typically require large sample sizes for acceptable efficiency and reliable convergence. Appropriate informative priors are often required for gainfully employing Bayesian analysis with small samples. Power priors are informative priors built on historical data, weighted to account for non‐exchangeability with the ...
Lihan Chen, Milica Miočević, Carl F. Falk   +2 more
wiley   +1 more source

Privacy-preserving federated learning with optimized ensemble weighting and knowledge distillation for COVID-19 detection from non-IID medical imaging data. [PDF]

Sci Rep
Annan R, Qin H, Newman R, Siddula M, Qingge L.   +4 more
europepmc   +1 more source