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Michael C. Hughes

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InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning

Mar 15, 2024
Zhe Huang, Xiaowei Yu, Dajiang Zhu, Michael C. Hughes

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Semi-Supervised Multimodal Multi-Instance Learning for Aortic Stenosis Diagnosis

Mar 09, 2024
Zhe Huang, Xiaowei Yu, Benjamin S. Wessler, Michael C. Hughes

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Discovering group dynamics in synchronous time series via hierarchical recurrent switching-state models

Jan 26, 2024
Michael Wojnowicz, Preetish Rath, Eric Miller, Jeffrey Miller, Clifford Hancock, Meghan O'Donovan, Seth Elkin-Frankston, Thaddeus Brunye, Michael C. Hughes

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A Probabilistic Method to Predict Classifier Accuracy on Larger Datasets given Small Pilot Data

Nov 29, 2023
Ethan Harvey, Wansu Chen, David M. Kent, Michael C. Hughes

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SINCERE: Supervised Information Noise-Contrastive Estimation REvisited

Sep 25, 2023
Patrick Feeney, Michael C. Hughes

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Accuracy versus time frontiers of semi-supervised and self-supervised learning on medical images

Jul 18, 2023
Zhe Huang, Ruijie Jiang, Shuchin Aeron, Michael C. Hughes

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Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning

May 25, 2023
Zhe Huang, Benjamin S. Wessler, Michael C. Hughes

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Non-Parametric and Regularized Dynamical Wasserstein Barycenters for Time-Series Analysis

Oct 07, 2022
Kevin C. Cheng, Shuchin Aeron, Michael C. Hughes, Eric L. Miller

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Fix-A-Step: Effective Semi-supervised Learning from Uncurated Unlabeled Sets

Aug 25, 2022
Zhe Huang, Mary-Joy Sidhom, Benjamin S. Wessler, Michael C. Hughes

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