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Found 8 papers, 1 papers with code
Acknowledgement Entity Recognition in CORD-19 Papers
We built a supplementary database by linking CORD-19 papers with acknowledgement entities extracted by AckExtract including persons and organizations and find that only up to 50–60% of named entities are actually acknowledged.
A prototype hybrid prediction market for estimating replicability of published work
We present a prototype hybrid prediction market and demonstrate the avenue it represents for meaningful human-AI collaboration.
Topological Learning in Multi-Class Data Sets
As a by-product, a topological classifier is defined that uses an open sub-covering of the data set.
Dynamics of a Binary Option Market with Exogenous Information and Price Sensitivity
Under general assumptions on purchasing rules, we show that when exogenous information is constant in the binary asset market, the price always converges.
A Synthetic Prediction Market for Estimating Confidence in Published Work
Explainably estimating confidence in published scholarly work offers opportunity for faster and more robust scientific progress.
Design and Analysis of a Synthetic Prediction Market using Dynamic Convex Sets
We show that under certain assumptions on the underlying geometry, the resulting synthetic prediction market can be used to arbitrarily closely approximate a binary function defined on a set of input data.
A Finite Population Destroys a Traveling Wave in Spatial Replicator Dynamics
The infinite population spatial replicator is identical to the model used by Vickers and our derivation justifies the addition of a diffusion to the replicator.
Modeling a Hidden Dynamical System Using Energy Minimization and Kernel Density Estimates
In this paper we develop a kernel density estimation (KDE) approach to modeling and forecasting recurrent trajectories on a compact manifold.
