Visit publisher's page
License & Privacy
AI Center: 21.4 - 21.10
UiPath Community Support
Deep learning model to accurately diagnose pneumonia through chest Xray image inputs and UiPath automating the deep learning training and testing process
Statistical ML model is used for entity extraction specific to the insurance industry for Insurance industries for extraction for entities i.e. policy number, policy tenure, client name.
Automatic classification using standard IAB (Interactive Advertising Bureau) taxonomy.
Automatic classification using standard IPTC (The International Press Telecommunications Council - the Global Standards Body of the News Media) taxonomy.
This AI Center model will classify emails according to their contents based on buckets that are given to it by supplying appropriate training data.
Extracts text out of a given image, scan (.jpg, .png, .tif) or PDF file using a text recognition model (AI Computer Vision).
Add new text with different style in specific Word files.
This component will classify the Tax forms submitted by US Citizens for Internal Revenue Services and generate a DataTable with Classification Type against the File name as output.
Non-datascientists users can now train machine learning models by simply asking their robot to do it for them. Take data from an Excel file and train a supervised Machine Learning model.
Automatically identifies the language of a given piece of text. Supports over 70 languages, including all Latin-based and most Asian languages.
Automating text-intensive business processes through AI.
This machine learning related activity is used to estimate a model for a binary variable and uses that model to make a one point ahead forecast for the binary variable.
Give your robots the power to translate through Microsoft Translator to make detecting languages, translating text, and transliterating text easier.
A no code/low code Intelligent Document Classification and Advanced Data Capture solution using patented Unassisted and Assisted Machine Learning.
Bitext E-mail Intent Classification system is pre-trained to classify e-mails into intents covering 20 verticals.