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07/18/2023
Mitigating Label Bias via Decoupled Confident Learning
Growing concerns regarding algorithmic fairness have led to a surge in m...
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07/15/2022
More Data Can Lead Us Astray: Active Data Acquisition in the Presence of Label Bias
An increased awareness concerning risks of algorithmic bias has driven a...
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05/15/2022
Nonconvex L_ 1/2-Regularized Nonlocal Self-similarity Denoiser for Compressive Sensing based CT Reconstruction
Compressive sensing (CS) based computed tomography (CT) image reconstruc...
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11/20/2021
Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation
Sequential recommendation has been a widely popular topic of recommender...
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08/04/2021
Gaussian Process Regression and Classification using International Classification of Disease Codes as Covariates
International Classification of Disease (ICD) codes are widely used for ...
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05/06/2021
Partially Interpretable Estimators (PIE): Black-Box-Refined Interpretable Machine Learning
We propose Partially Interpretable Estimators (PIE) which attribute a pr...
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11/18/2019
Nonconvex Nonsmooth Low-Rank Minimization for Generalized Image Compressed Sensing via Group Sparse Representation
Group sparse representation (GSR) based method has led to great successe...
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07/10/2019
Generalized Rank Minimization based Group Sparse Coding for Low-level Image Restoration via Dictionary Learning
Recently, low-rank matrix recovery theory has been emerging as a signifi...
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12/13/2018
