Machine learning and decision support in critical care
Clinical data management systems typically provide caregiver teams with useful information,
derived from large, sometimes highly heterogeneous, data sources that are often changing …
derived from large, sometimes highly heterogeneous, data sources that are often changing …
A survey on task assignment in crowdsourcing
Quality improvement methods are essential to gathering high-quality crowdsourced data,
both for research and industry applications. A popular and broadly applicable method is task …
both for research and industry applications. A popular and broadly applicable method is task …
COVID-19 government response event dataset (CoronaNet v. 1.0)
Governments worldwide have implemented countless policies in response to the COVID-19
pandemic. We present an initial public release of a large hand-coded dataset of over 13,000 …
pandemic. We present an initial public release of a large hand-coded dataset of over 13,000 …
Image classification with deep learning in the presence of noisy labels: A survey
Image classification systems recently made a giant leap with the advancement of deep
neural networks. However, these systems require an excessive amount of labeled data to be …
neural networks. However, these systems require an excessive amount of labeled data to be …
Chest radiograph interpretation with deep learning models: assessment with radiologist-adjudicated reference standards and population-adjusted evaluation
A Majkowska, S Mittal, DF Steiner, JJ Reicher… - Radiology, 2020 - pubs.rsna.org
Background Deep learning has the potential to augment the use of chest radiography in
clinical radiology, but challenges include poor generalizability, spectrum bias, and difficulty …
clinical radiology, but challenges include poor generalizability, spectrum bias, and difficulty …
Computer-aided classification of lung nodules on computed tomography images via deep learning technique
Lung cancer has a poor prognosis when not diagnosed early and unresectable lesions are
present. The management of small lung nodules noted on computed tomography scan is …
present. The management of small lung nodules noted on computed tomography scan is …
Learning from noisy labels by regularized estimation of annotator confusion
The predictive performance of supervised learning algorithms depends on the quality of
labels. In a typical label collection process, multiple annotators provide subjective noisy …
labels. In a typical label collection process, multiple annotators provide subjective noisy …
A survey on truth discovery
Thanks to information explosion, data for the objects of interest can be collected from
increasingly more sources. However, for the same object, there usually exist conflicts among …
increasingly more sources. However, for the same object, there usually exist conflicts among …
Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection
We introduce tools and methodologies to collect high quality, large scale fine-grained
computer vision datasets using citizen scientists--crowd annotators who are passionate and …
computer vision datasets using citizen scientists--crowd annotators who are passionate and …
Crowdsourced data management: A survey
Any important data management and analytics tasks cannot be completely addressed by
automated processes. These tasks, such as entity resolution, sentiment analysis, and image …
automated processes. These tasks, such as entity resolution, sentiment analysis, and image …