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Data Science
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2024
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Résultats de recherche
Multi-Task Learning to Screen for Major Depressive Disorder and Post-Traumatic Stress Disorder
Mot-clé:
multi-task learning
,
sequential modeling
,
multivariate time series
,
self-attention
, and
digital health
Créateur:
Shrestha, Avantika
Advisor:
Rundensteiner, Elke A.
Éditeur:
Worcester Polytechnic Institute
date créée:
2024-03-22
Resource Type:
Thesis
Degree:
MS
Unit (Department):
Data Science
Multi-View Contrastive Learning for Sequential Recommendation
Mot-clé:
collaborative learning
and
Sequential recommendation
Créateur:
Zhou, Xiaofan
Advisor:
Lee, Kyumin
Éditeur:
Worcester Polytechnic Institute
date créée:
2024-03-26
Resource Type:
Thesis
Degree:
MS
Unit (Department):
Data Science
LOOL: Flexible & Robust Estimator of Heterogeneous Treatment Effects
Mot-clé:
heterogenous treatment effect
,
machine learning
,
potential outcomes
, and
causal inference
Créateur:
Pham, Duy
Advisor:
Sales, Adam
Éditeur:
Worcester Polytechnic Institute
date créée:
2024-04-02
Resource Type:
Thesis
Degree:
MS
Unit (Department):
Data Science
The Findings and Developed Tools from the Exploration of Procedural Pathways to Bolster Algebraic Knowledge
Mot-clé:
network analysis
,
gamification
,
exploratory play
,
graph theory
,
dashboard
, and
data visualization
Créateur:
Pradhan, Siddhartha
Advisor:
Ottmar, Erin R.
Éditeur:
Worcester Polytechnic Institute
date créée:
2024-04-08
Resource Type:
Thesis
Degree:
MS
Unit (Department):
Data Science
Facilitating Scientific Material Discovery via Deep Learning on Small Image Datasets
Créateur:
Yin, Biao
Advisor:
Zhang, Ziming
and
Rundensteiner, Elke A.
Éditeur:
Worcester Polytechnic Institute
date créée:
2024-04-22
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Data Science
Harnessing Incomplete, Noisy, and Multi-level Labels for Classification and Annotation Tasks
Mot-clé:
Large Language Model
,
Multi-Level Label
,
Incomplete Label
,
Noisy Label
,
In-Context Learning
, and
Foodborne Illness Detection
Créateur:
Zhang, Dongyu
Advisor:
Rundensteiner, Elke A.
Éditeur:
Worcester Polytechnic Institute
date créée:
2024-04-23
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Data Science
Agree to Disagree: Robust Anomaly Detection with Noisy Labels
Mot-clé:
Noisy Labels
,
Anomaly Detection
, and
Deep Learning
Créateur:
Hofmann, Dennis
Advisor:
Rundensteiner, Elke A.
Éditeur:
Worcester Polytechnic Institute
date créée:
2024-04-24
Resource Type:
Thesis
Degree:
MS
Unit (Department):
Data Science
Stabilizing GANs Under Limited Resources via Dynamic Machine Ordering
Mot-clé:
Deep Learning
,
GAN
,
Optimization
, and
Gradient Descent-Ascent
Créateur:
DeOliveira, Joshua
Advisor:
Rundensteiner, Elke A.
Éditeur:
Worcester Polytechnic Institute
date créée:
2024-04-26
Resource Type:
Thesis
Degree:
MS
Unit (Department):
Data Science
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PhD Dissertations
2
Year
2024
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Créateur
DeOliveira, Joshua
1
Hofmann, Dennis
1
Pham, Duy
1
Pradhan, Siddhartha
1
Shrestha, Avantika
1
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Advisor
Lee, Kyumin
1
Ottmar, Erin R.
1
Rundensteiner, Elke A.
5
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1
Zhang, Ziming
1
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1
Kong, Xiangnan
1
Kordzadeh, Nima
1
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1
Liu, Xiaozhong
1
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Unit (Department)
Data Science
[remove]
8
Éditeur
Worcester Polytechnic Institute
8
UN SDG
3 - Good Health and Well-being
1
4 - Quality Education
1
10 - Reducing Inequality
1
11 - Sustainable Cities and Communities
1
12 - Responsible Consumption and Production
1
13 - Climate Action
1
14 - Life Below Water
1
15 - Life On Land
1
16 - Peace, Justice, and Strong Institutions
1
17 - Partnerships for the Goals
1
Not Specified
2
Type de ressource
Thesis
6
Dissertation
2
License
https://creativecommons.org/licenses/by/4.0/
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