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Filtering by: Orcid https://orcid.org/0000-0003-3139-2804 Contributor Rundensteiner, Elke A. Unit (Department) Data Science

1. FACET: Counterfactual Explanation Analytics

Keyword:: Ethical AI, Counterfactual Explanation, Interpretable Machine Learning, Tree Ensembles, Random Forest, and Explainable AI
Creator:: VanNostrand, Peter
Advisor:: Rundensteiner, Elke A.
Publisher:: Worcester Polytechnic Institute
Date Created:: 2022-12-16
Resource Type:: Thesis
Degree:: MS
Unit (Department):: Data Science

2. MANIRank: Multiple Attribute and Intersectional Fairness for Consensus Ranking

Keyword:: Bias, Consensus Ranking, and Fair decision making
Creator:: Cachel, Kathleen
Advisor:: Rundensteiner, Elke A.
Publisher:: Worcester Polytechnic Institute
Date Created:: 2021-12-20
Resource Type:: Dissertation
Degree:: MS
Unit (Department):: Data Science

3. Prediction and Observation Timing in Time Series Classification

Keyword:: Time Series and Deep Learning
Creator:: Hartvigsen, Thomas
Advisor:: Rundensteiner, Elke A.
Publisher:: Worcester Polytechnic Institute
Date Created:: 2021-12-14
Resource Type:: Dissertation
Degree:: PhD
Unit (Department):: Data Science

4. Multi-Task Learning to Screen for Major Depressive Disorder and Post-Traumatic Stress Disorder

Keyword:: multi-task learning, sequential modeling, multivariate time series, self-attention, and digital health
Creator:: Shrestha, Avantika
Advisor:: Rundensteiner, Elke A.
Publisher:: Worcester Polytechnic Institute
Date Created:: 2024-03-22
Resource Type:: Thesis
Degree:: MS
Unit (Department):: Data Science

5. Facilitating Scientific Material Discovery via Deep Learning on Small Image Datasets

Creator:: Yin, Biao
Advisor:: Zhang, Ziming and Rundensteiner, Elke A.
Publisher:: Worcester Polytechnic Institute
Date Created:: 2024-04-22
Resource Type:: Dissertation
Degree:: PhD
Unit (Department):: Data Science

6. Harnessing Incomplete, Noisy, and Multi-level Labels for Classification and Annotation Tasks

Keyword:: Large Language Model, Multi-Level Label, Incomplete Label, Noisy Label, In-Context Learning, and Foodborne Illness Detection
Creator:: Zhang, Dongyu
Advisor:: Rundensteiner, Elke A.
Publisher:: Worcester Polytechnic Institute
Date Created:: 2024-04-23
Resource Type:: Dissertation
Degree:: PhD
Unit (Department):: Data Science

7. Agree to Disagree: Robust Anomaly Detection with Noisy Labels

Keyword:: Noisy Labels, Anomaly Detection, and Deep Learning
Creator:: Hofmann, Dennis
Advisor:: Rundensteiner, Elke A.
Publisher:: Worcester Polytechnic Institute
Date Created:: 2024-04-24
Resource Type:: Thesis
Degree:: MS
Unit (Department):: Data Science

8. Stabilizing GANs Under Limited Resources via Dynamic Machine Ordering

Keyword:: Deep Learning, GAN, Optimization, and Gradient Descent-Ascent
Creator:: DeOliveira, Joshua
Advisor:: Rundensteiner, Elke A.
Publisher:: Worcester Polytechnic Institute
Date Created:: 2024-04-26
Resource Type:: Thesis
Degree:: MS
Unit (Department):: Data Science

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

Keyword:: Data Science, Machine Learning, Pretrained Models, Generative Modeling, Deep Learning, and Bias
Creator:: Gerych, Walter
Advisor:: Rundensteiner, Elke A. and Agu, Emmanuel O.
Publisher:: Worcester Polytechnic Institute
Date Created:: 2023-10-06
Resource Type:: Dissertation
Degree:: PhD
Unit (Department):: Data Science

10. Multi-modal Models for Depression Screening

Keyword:: Transfer learning, Sequential modeling for mental health screen, Multivariate time series, Deep learning, Multi-task learning, and Digital health
Creator:: Flores, Ricardo
Advisor:: Rundensteiner, Elke A.
Publisher:: Worcester Polytechnic Institute
Date Created:: 2023-10-11
Resource Type:: Dissertation
Degree:: PhD
Unit (Department):: Data Science