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Working With What You’ve Got: Leveraging Mislabeled Datasets And Improving Imperfect Pretrained Models

Stichwort:

Data Science, Machine Learning, Pretrained Models, Generative Modeling, Deep Learning, and Bias

Schöpfer:

Gerych, Walter

Advisor:

Rundensteiner, Elke A. and Agu, Emmanuel O.

Herausgeber:

Worcester Polytechnic Institute

Datum erstellt:

2023-10-06

Resource Type:

Dissertation

Degree:

PhD

Unit (Department):

Data Science
MANIRank: Multiple Attribute and Intersectional Fairness for Consensus Ranking

Stichwort:

Bias, Consensus Ranking, and Fair decision making

Schöpfer:

Cachel, Kathleen

Advisor:

Rundensteiner, Elke A.

Herausgeber:

Worcester Polytechnic Institute

Datum erstellt:

2021-12-20

Resource Type:

Dissertation

Degree:

MS

Unit (Department):

Data Science