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Agree to Disagree: Robust Anomaly Detection with Noisy Labels

Palavra-chave:

Noisy Labels, Anomaly Detection, and Deep Learning

O Criador:

Hofmann, Dennis

Advisor:

Rundensteiner, Elke A.

Editor:

Worcester Polytechnic Institute

Data Criada:

2024-04-24

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Data Science
A Comparative Study of Multiple-Instance Regression Techniques With Data Augmentation for Cold Spray Powder Hall Flow Rate Prediction

Palavra-chave:

Cold Spray, Multiple-Instance Learning, Additive Manufacturing, Machine Learning, Data Augmentation, and Multiple-Instance Regression

O Criador:

Schuliger, Ashley

Advisor:

Cote, Danielle and Neamtu, Rodica

Editor:

Worcester Polytechnic Institute

Data Criada:

2022-04-28

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Data Science