Results 11 to 20 of 26
Abstract: Free text comments (FTC) of patient-reported outcome measures (PROMS) offer invaluable insight into health-related quality of life (HRQoL). However, extracting meaningful information from FTC is challenging due to the time-consuming nature of manual analysis methods (the common analysis method). However, weakly supervised text classification (WSTC) can be a valuable method of analysis to classify...
We are excited to announce the formation of a new Visualization Interest Group (VIG) in the Leeds Institute for Data Analytics (LIDA), led by Prof. Roy Ruddle (Computing) and Dr Roger Beecham (Geography). The VIG aims to foster a friendly environment for exploring the multifaceted world of visualization. Our scope spans the entire pyramid of...
Abstract: Deep learning offers innovative approaches to modeling complex physical dynamics. This talk will focus on the application of a specific deep learning approach, graph neural networks, to the problem of forecasting global weather. A data-driven model was trained to step forward the current 3D atmospheric state by six hours, and multiple steps are chained...
Bring your laptop to the hands-on ML session on SINDy, run by Alasdair Roy and hosted by the SciML community! Alasdair will give a 45-minute introduction to SINDy. After a break for coffee and cake, we'll tackle the coding challenges that Alasdair has prepared for us. (Note: This is an in-person event. Only the first...
Over the last year, there has been a rise in deep learning methods being used to produce highly accurate weather predictions. These methods include deep learning techniques such as Transformers and Graph Neural Networks amongst others, and have been applied by some of the world's leading tech companies. Some works have made claims that these...
The processing, storage and transmission of large-scale point clouds is an ongoing challenge in the computer vision community which hinders progress in the application of 3D models to real-world settings, such as autonomous driving, virtual reality and remote sensing. We propose a novel, one-shot point cloud simplification method which preserves both the salient structural features...
LIDA will be hosting a workshop on infrastructures for data science, machine learning applications and cutting cloud/edge data infrastructures. This will be an opportunity to know more about scalable techniques for data storage, computation, experiment tracking, and orchestration that are relevant to data scientists. The Data Science Infrastructures Programme stands up an infrastructure stack from...
Join us to celebrate our 5 year anniversary of being the lead partner of the Alan Turing Institute for the University of Leeds! The Turing is the UK’s national institute for data science and artificial intelligence. We hope you can join us to hear about the past, present and future of what this collaboration means...
Welcome to the SciML Leeds Hackathon! This exciting event will focus on using machine learning to identify the dominant ice-water interface via a fusion of SAR and optical imagery. This hackathon is designed to be accessible to participants of all disciplines and skill levels. Whether you're a machine learning enthusiast or simply curious about its...
Combining Supervised and Unsupervised Machine Learning for Early Diagnosis of Dementia Despite the increasing availability of health data, clinically translatable methods to predict the conversion from Mild Cognitive Impairment (MCI) to dementia are still lacking. MCI represents a precursor to dementia for many individuals; however, some forms of MCI tend to remain stable over time...