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Found 6 papers, 1 papers with code
Exploring Runtime Decision Support for Trauma Resuscitation
The best model achieved an average F1-score of 0. 67 for 61 activity types.
Generating Privacy-Preserving Process Data with Deep Generative Models
We experimented with different models of representation learning and used the learned model to generate synthetic process data.
Process-oriented Iterative Multiple Alignment for Medical Process Mining
We applied PIMA to analyzing medical workflow data, showing how iterative alignment can better represent the data and facilitate the extraction of insights from data visualization.
Progress Estimation and Phase Detection for Sequential Processes
For the Olympic swimming dataset, our system achieved an accuracy of 88%, an F1-score of 0. 58, a completeness estimation error of 6. 3% and a remaining-time estimation error of 2. 9 minutes.
Online People Tracking and Identification with RFID and Kinect
We introduce a novel, accurate and practical system for real-time people tracking and identification.
Concurrent Activity Recognition with Multimodal CNN-LSTM Structure
Our system is the first to address the concurrent activity recognition with multisensory data using a single model, which is scalable, simple to train and easy to deploy.
