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06/15/2023
AQuA: A Benchmarking Tool for Label Quality Assessment
Machine learning (ML) models are only as good as the data they are train...
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10/03/2022
Unsupervised Model Selection for Time-series Anomaly Detection
Anomaly detection in time-series has a wide range of practical applicati...
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06/24/2022
Classifying Unstructured Clinical Notes via Automatic Weak Supervision
Healthcare providers usually record detailed notes of the clinical care ...
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06/18/2022
Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact
A significant proportion of clinical physiologic monitoring alarms are f...
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02/22/2022
Counterfactual Phenotyping with Censored Time-to-Events
Estimation of treatment efficacy of real-world clinical interventions in...
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01/09/2022
Weak Supervision for Affordable Modeling of Electrocardiogram Data
Analysing electrocardiograms (ECGs) is an inexpensive and non-invasive, ...
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11/15/2021
Learning Graph Neural Networks for Multivariate Time Series Anomaly Detection
In this work, we propose GLUE (Graph Deviation Network with Local Uncert...
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08/24/2021
The Word is Mightier than the Label: Learning without Pointillistic Labels using Data Programming
Most advanced supervised Machine Learning (ML) models rely on vast amoun...
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07/22/2020
Towards Social Engaging Peer Learning: Predicting Backchanneling and Disengagement in Children
Social robots and interactive computer applications have the potential t...
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11/12/2019
