We present PyWiFeS, a new Python-based data reduction pipeline for the Wide Field Spectrograph (WiFeS). PyWiFeS consists of a series of core data processing routines built on standard scientific Python packages commonly used in astronomical applicati...
Online platforms, including social media and search platforms, have routinely used their users' data for targeted ads, to improve their services, and to sell to third-party buyers. But an increasing awareness of the importance of users' data privacy...
This study proposed a novel framework for COVID-19 severity prediction, which is a combination of data-centric and model-centric approaches. First, we propose a data-centric pre-training for extremely scare data scenarios of the investigating dataset...
Access free public data, surveys, articles, trackers and rankings. Explore YouGov’s comprehensive research that combines real-world data with expert analysis.
data-to-paper: Backward-traceable AI-driven scientific research (⭐ 761)
In this project, I pull the data of College Football matches play by play. (⭐ 4)
Terrorism has become one of the most tedious problems to deal with and a prominent threat to mankind. To enhance counter-terrorism, several research works are developing efficient and precise systems, data mining is not an exception. Immense data is...
Semi-supervised learning (SSL) aims to train a machine learning model using both labelled and unlabelled data. While the unlabelled data have been used in various ways to improve the prediction accuracy, the reason why unlabelled data could help is n...
Python scripts for doing data preparation on CSV files, mostly without loading them into memory. (⭐ 5)
In medical science, it is very important to gather multiple data on different diseases and one of the most important objectives of the data is to investigate the diseases. Myocardial infarction is a serious risk factor in mortality and in previous st...
Data augmentation has been an important ingredient for boosting performances of learned models. Prior data augmentation methods for few-shot text classification have led to great performance boosts. However, they have not been designed to capture the...
Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights. (⭐ 6589)
This paper presents discursive patinas, a technique to visualize discussions onto data visualizations, inspired by how people leave traces in the physical world. While data visualizations are widely discussed in online communities and social media, c...
WarpDrive is the lightweight data library for ambitious web apps — universal, typed, reactive, and ready to scale. (⭐ 3131)
We discuss long-term preservation of and access to relational databases. The focus is on national archives and science data archives which have to ingest and integrate data from a broad spectrum of vendor-specific relational database management sys...
An API to access data from The New Yorker Caption Contest (⭐ 63)
Ensuring data integrity is a critical requirement in complex systems, especially in financial platforms where vast amounts of data must be consistently accurate and reliable. This paper presents a robust approach using polynomial interpolation method...
Utilize our award winning data feeds to power your fantasy sports pages. Get up to the second game data to power your broadcasts. Drive in-venue sponsorship opportunity. Power platforms and tools …
SportsDataIO is an award-winning sports data and content provider producing millions of data points across thousands of games annually. We license our products through robust APIs, responsive …
Data Structure lab works from University of Malaya, Malaysia (2019) (⭐ 18)