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Agree to Disagree: Robust Anomaly Detection with Noisy Labels

Stichwort:

Noisy Labels, Anomaly Detection, and Deep Learning

Schöpfer:

Hofmann, Dennis

Advisor:

Rundensteiner, Elke A.

Herausgeber:

Worcester Polytechnic Institute

Datum erstellt:

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

Stichwort:

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

Schöpfer:

Schuliger, Ashley

Advisor:

Cote, Danielle and Neamtu, Rodica

Herausgeber:

Worcester Polytechnic Institute

Datum erstellt:

2022-04-28

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Data Science