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01/13/2022
Active Learning-Based Multistage Sequential Decision-Making Model with Application on Common Bile Duct Stone Evaluation
Multistage sequential decision-making scenarios are commonly seen in the...
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12/22/2020
APIK: Active Physics-Informed Kriging Model with Partial Differential Equations
Kriging (or Gaussian process regression) is a popular machine learning m...
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07/27/2020
A calibration-free method for biosensing in cell manufacturing
Chimeric antigen receptor T cell therapy has demonstrated innovative the...
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07/27/2020
Additive Tensor Decomposition Considering Structural Data Information
Tensor data with rich structural information becomes increasingly import...
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10/12/2019
Adaptive design for Gaussian process regression under censoring
A key objective in engineering problems is to predict an unknown experim...
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10/03/2019
Function-on-function kriging, with applications to 3D printing of aortic tissues
3D-printed medical phantoms, which use synthetic metamaterials to mimic ...
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02/05/2019
AVP: Physics-informed Data Generation for Small-data Learning
Deep neural networks have achieved great success in multiple learning pr...
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08/14/2018
