Skip to Content
Toggle navigation
Página Principal
Browse
Browse by Collection
Browse by Project Center
Browse Exhibits
About
About Us
Help
Entrar
Explore, Discover, Share
Ir
Advanced search
Busca
Remover filtros
Filtragem por:
Contributor
Rundensteiner, Elke A.
Remover Contributor: Rundensteiner, Elke A.
« ant |
1
-
10
de
103
|
próx »
Ordenar por relevance
relevance
date uploaded ▼
date uploaded ▲
date modified ▼
date modified ▲
Número de resultados para mostrar por página
10 por página
10
por página
20
por página
50
por página
100
por página
Ver resultados como:
Lista
Gallery
Masonry
Slideshow
Resultados da Busca
Multi-Task Learning to Screen for Major Depressive Disorder and Post-Traumatic Stress Disorder
Palavra-chave:
multi-task learning
,
sequential modeling
,
multivariate time series
,
self-attention
, and
digital health
O Criador:
Shrestha, Avantika
Advisor:
Rundensteiner, Elke A.
Editor:
Worcester Polytechnic Institute
Data Criada:
2024-03-22
Resource Type:
Thesis
Degree:
MS
Unit (Department):
Data Science
Mobile Paralinguistic Health Assessment from Speech: Energy-Efficient and Privacy-Preserving Neural Network Models
Palavra-chave:
Energy efficient
,
Traumatic brain injury
,
Deep neural Networks
,
Depression
,
Speech assessment
, and
Speaker privacy
O Criador:
Ditthapron, Apiwat
Advisor:
Lammert, Adam C.
and
Agu, Emmanuel O.
Editor:
Worcester Polytechnic Institute
Data Criada:
2024-04-18
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Computer Science
Facilitating Scientific Material Discovery via Deep Learning on Small Image Datasets
O Criador:
Yin, Biao
Advisor:
Zhang, Ziming
and
Rundensteiner, Elke A.
Editor:
Worcester Polytechnic Institute
Data Criada:
2024-04-22
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Data Science
Harnessing Incomplete, Noisy, and Multi-level Labels for Classification and Annotation Tasks
Palavra-chave:
Large Language Model
,
Multi-Level Label
,
Incomplete Label
,
Noisy Label
,
In-Context Learning
, and
Foodborne Illness Detection
O Criador:
Zhang, Dongyu
Advisor:
Rundensteiner, Elke A.
Editor:
Worcester Polytechnic Institute
Data Criada:
2024-04-23
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Data Science
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
Stabilizing GANs Under Limited Resources via Dynamic Machine Ordering
Palavra-chave:
Deep Learning
,
GAN
,
Optimization
, and
Gradient Descent-Ascent
O Criador:
DeOliveira, Joshua
Advisor:
Rundensteiner, Elke A.
Editor:
Worcester Polytechnic Institute
Data Criada:
2024-04-26
Resource Type:
Thesis
Degree:
MS
Unit (Department):
Data Science
Working With What You’ve Got: Leveraging Mislabeled Datasets And Improving Imperfect Pretrained Models
Palavra-chave:
Data Science
,
Machine Learning
,
Pretrained Models
,
Generative Modeling
,
Deep Learning
, and
Bias
O Criador:
Gerych, Walter
Advisor:
Rundensteiner, Elke A.
and
Agu, Emmanuel O.
Editor:
Worcester Polytechnic Institute
Data Criada:
2023-10-06
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Data Science
Multi-modal Models for Depression Screening
Palavra-chave:
Transfer learning
,
Sequential modeling for mental health screen
,
Multivariate time series
,
Deep learning
,
Multi-task learning
, and
Digital health
O Criador:
Flores, Ricardo
Advisor:
Rundensteiner, Elke A.
Editor:
Worcester Polytechnic Institute
Data Criada:
2023-10-11
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Data Science
Strategies and Structures for Biological Datasets Integration and Knowledge Discovery
Palavra-chave:
Single-cell RNA Sequencing
,
Data Integration
,
CCA
,
Network Analysis
,
Biology
, and
Feature Engineering
O Criador:
Teeple, Erin
Advisor:
Rundensteiner, Elke A.
Editor:
Worcester Polytechnic Institute
Data Criada:
2023-07-25
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Data Science
Knowledge Amalgamation from Heterogeneous Pre-Trained Models
Palavra-chave:
Pre-Trained Models
,
Deep Learning
, and
Knowledge Amalgamation
O Criador:
Thadajarassiri, Jidapa
Advisor:
Kong, Xiangnan
and
Rundensteiner, Elke A.
Editor:
Worcester Polytechnic Institute
Data Criada:
2023-04-18
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Data Science
« anterior
próximo »
1
2
3
4
5
…
10
11
Toggle facets
Filtre sua busca
Collections
PhD Dissertations
56
Masters Theses
46
Masters Reports
1
Year
Year range begin
–
Year range end
Current results range from
2000
to
2024
View distribution
O Criador
Ahsan, Ramoza
1
Alajaji, Abdulaziz
1
Alghamdi, Noura
1
Bashir, Muzammil
1
Buquicchio, Luke J.
1
mais
O Criadors
»
Advisor
Agu, Emmanuel O.
8
Cote, Danielle
1
Eltabakh, Mohamed Y.
3
Harrison, Lane T.
1
Heffernan, Neil
1
mais
Advisors
»
Contributor
Agu, Emmanuel O.
12
Ari, Ismail
1
Athitsos, Vassilis
1
Beck, Joseph E.
1
Brown, Christopher A.
1
mais
Contributors
»
Unit (Department)
Computer Science
71
Data Science
31
Manufacturing Engineering
1
Editor
Worcester Polytechnic Institute
103
UN SDG
3 - Good Health and Well-being
1
Not Specified
1
Tipo de recurso
Dissertation
56
Thesis
46
Report
1
License
https://creativecommons.org/licenses/by/4.0/
6