Next-generation surveys such as the Euclid survey, the Legacy Survey of Space and Time (LSST), and the China Space Station Telescope (CSST) survey are expected to discover ~10^5 galaxy-galaxy scale strong gravitational lenses. This motivates the deve...
Neural implicit k-space representations (NIK) have shown promising results for dynamic magnetic resonance imaging (MRI) at high temporal resolutions. Yet, reducing acquisition time, and thereby available training data, results in severe performance d...
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This paper studies how gifts - monetary or in-kind payments - from drug firms to physicians in the US affect prescriptions and drug costs. We estimate heterogeneous treatment effects by combining physician-level data on antidiabetic prescriptions and...
Dubai is rapidly positioning itself as a global hub for artificial intelligence, with businesses across industries exploring ways to automate operations, enhance customer experiences, and use data mor...
With Company2Vec, the paper proposes a novel application in representation learning. The model analyzes business activities from unstructured company website data using Word2Vec and dimensionality reduction. Company2Vec maintains semantic language st...
The color-magnitude diagrams (CMDs) of three intermediate-age LMC clusters, NGC 2173, SL556 and NGC2155 are analyzed to determine their age and metallicity basing on Padova stellar models. Synthetic CMDs are compared with cluster data. The best mat...
We show that a right-handed stop in the 200-400 GeV mass range, together with a nearly degenerate neutralino and, possibly, a gluino below 1.5 TeV, follows from reasonable assumptions, is consistent with present data, and offers interesting discovery...
Distilling the thinking traces of a Large Language Model (LLM) with reasoning capabilities into a smaller model has been proven effective. Yet, there is a scarcity of work done on how model performances scale with the quantity of distillation data. I...
Développer l'observatoire open data de l'action climat des entreprises, pour faire passer à l'action les entreprises en jouant sur la transparence et maximiser le partage de l'expertise climat entre entreprises (⭐ 4)
Computational models of collective behavior in birds has allowed us to infer interaction rules directly from experimental data. Using a generic form of these rules we explore the collective behavior and emergent dynamics of a simulated swarm. For a w...
December 2018. Retrieved 1 December 2018. Days, p. 154. UK Retail Price Index inflation figures are based on data from Clark, Gregory (2017). "The Annual
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Data analysis suite for X-ray and gamma-ray imagers, particularly for Si/CdTe Compton cameras (⭐ 24)
Modern advances in particle physics depend strongly on the usage of reliable computer programs. In this context two issues become important: The usage of powerful algorithms to handle the amount of evaluated data properly, and a software architecture...
Project for a class at Georgia Tech working on Human Trafficking data. (⭐ 2)
We introduce SHEET, a multi-purpose open-source toolkit designed to accelerate subjective speech quality assessment (SSQA) research. SHEET stands for the Speech Human Evaluation Estimation Toolkit, which focuses on data-driven deep neural network-bas...
UK-based clinical trial registry, International Standard Randomised Controlled Trial Number (ISRCTN) is [rolling out a significant update to the portal](https://insights.citeline.com/pink-sheet/r-and-...
The long winded title pretty much says it all. Bit of a completionist myself and the type of person that's likes making lists that tells me what to go and do next. So here is said list. [**LINK TO...
Speech datasets are crucial for training Speech Language Technologies (SLT); however, the lack of diversity of the underlying training data can lead to serious limitations in building equitable and robust SLT products, especially along dimensions of...