Publication

A Semi-Supervised Algorithm for Improving the Consistency of Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder Classification

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

A Semi-Supervised Algorithm for Improving the Consistency of Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder Classification

Graph Chatbot

Chat with Graph Search

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification

Data-driven approaches for non-invasive cuffless blood pressure monitoring

Reduced order models for coupled systems

Near-wall hemodynamic parameters quantification in in vitro intracranial aneurysms with 7 T PC-MRI

Transfer learning application of self-supervised learning in ARPES

The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms

Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems

The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms

A numerical study on the coupled hydro-mechanical behaviour of compacted bentonite