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...
In solving real-world problems like changing healthcare-seeking behaviors, designing interventions to improve downstream outcomes requires an understanding of the causal links within the system. Causal Bayesian Networks (BN) have been proposed as one...
Billions of X-ray images are taken worldwide each year. Machine learning, and deep learning in particular, has shown potential to help radiologists triage and diagnose images. However, deep learning requires large datasets with reliable labels. The C...
Over the years, many subjective and objective quality assessment datasets have been created and made available to the research community. However, there is no standard process for documenting the various aspects of the dataset, such as details about...
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...
This datasheet describes the Pile, a 825 GiB dataset of human-authored text compiled by EleutherAI for use in large-scale language modeling. The Pile is comprised of 22 different text sources, ranging from original scrapes done for this project, to t...
[](/# MC // section intro) #Introduction ##[Mission datasheet](https://old.reddit.com/r/spacex/comments/ju7fxv/rspacex_crew1_official_launch_coast_docking/gcezvxp/) Hi dear people of the subreddit! ...
This tool compares a targets patch levels against the Microsoft vulnerability database in order to detect potential missing patches on the target. It also notifies the user if there are public exploits and Metasploit modules available for the missing bulletins…
Points: 55 | Comments: 26 | Author: Tomte
3 days ago · SPX | A complete S&P 500 Index index overview by MarketWatch. View stock market news, stock market data and trading information.
Self-supervised learning has emerged as a powerful paradigm for training deep neural networks, particularly in medical imaging where labeled data is scarce. While current approaches typically rely on synthetic augmentations of single images, we propo...
Supervised learning is limited both by the quantity and quality of the labeled data. In the field of medical record tagging, writing styles between hospitals vary drastically. The knowledge learned from one hospital might not transfer well to another...
Web tool to publish thesaurus and controlled vocabularies in the web. PortalThes use TemaTres web services to expose data and services based on vocabularies (⭐ 9)
Feb 14, 2025 · This Microsoft Azure Regions Interactive Map shows the locations of each of the Microsoft Azure cloud regions plotted on a map. The map code is built using the Azure Maps Web …
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Deep Spatial–Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting, TITS 2019 (⭐ 9)
(IEEE TITS 2024) WHU-Railway3D: A Diverse Dataset and Benchmark for Railway Point Cloud Semantic Segmentation (⭐ 179)