Magnetoencephalography (MEG) captures neural activity with high temporal and spatial resolution, but it typically discards other biopotentials, such as cardiac signals, as noise. Here, we demonstrate ...

There is a dearth of research examining geographic disparities in access to cardiac rehabilitation (CR). We evaluated whether disparities in geographic access to CR exist among socially vulnerable ...

A significant flux offset—up to a factor of 1.5 at wavelengths beyond 18 μm—is found between the MIRI and the archival Spitzer InfraRed Spectrograph (IRS) low-resolution (R ≈ 60–100) spectra recorded ...

Thin Plate Splines (TPS) are a type of radial basis function (RBF) commonly used in image warping, shape interpolation, and spatial deformation tasks. They were introduced by Bookstein in 1989 as a ...

Pricing an interest rate or fixed income product requires calculating the net present value of its future cash flows. This applies to any interest rate product such as a bond, loan, mortgage, interest ...

Machine learning techniques are increasingly valuable in various cybersecurity applications, including fraud detection and malware identification. MAWILab is a key dataset for evaluating traffic ...

Fit-Hi-C is a programming application to compute statistical confidence estimates for Hi-C contact maps to identify significant chromatin contacts. By fitting a monotonically non-increasing spline, ...

This Github page hosts most of the code producing the results published in the paper "Learning Aircraft Operational Factors to Improve Aircraft Climb Prediction: A Large Scale Multi-Airport Study".

S. Birnbaum, V. Kuleshov, Z. Enam, P. W.. Koh, and S. Ermon. Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations. NeurIPS 2019 V ...