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Filtrado por: Committee Kong, Xiangnan Eliminar la restricciónCommittee: Kong, Xiangnan

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Resultados de la búsqueda

Kernel Methods for Collaborative Filtering

Palabra clave:

multiple kernel matrix factorization, collaborative filtering, and L2-norm regularization

Creador:

Sun, Xinyuan

Advisor:

Kong, Xiangnan

Editor:

Worcester Polytechnic Institute

Fecha de Creacion:

2016-01-25

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Data Science
A Food Network: A Graphical Exploration of Food Recipes

Creador:

Carr, William

Advisor:

Li, Yanhua

Editor:

Worcester Polytechnic Institute

Fecha de Creacion:

2022-08-02

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Data Science
Competitive Opinion Maximization in Social Networks

Palabra clave:

Influence maximization and Opinion Maximization

Creador:

Luo, Jianjun

Advisor:

Kong, Xiangnan

Editor:

Worcester Polytechnic Institute

Fecha de Creacion:

2021-08-12

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Data Science
Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation

Palabra clave:

fact-checking, deep learning, graph neural network, and recommender system

Creador:

You, Di

Advisor:

Lee, Kyumin

Editor:

Worcester Polytechnic Institute

Fecha de Creacion:

2019-07-11

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Data Science
Explaining Deep Time Series Classifiers

Creador:

Parvatharaju, Prathyush

Advisor:

Rundensteiner, Elke A.

Editor:

Worcester Polytechnic Institute

Fecha de Creacion:

2021-12-15

Resource Type:

Dissertation

Degree:

MS

Unit (Department):

Data Science
Cycles Improve Conditional Generators

Palabra clave:

GAN, Conditional, Deep Learning, Generation, Cycle, and Machine Leaning

Creador:

Moore, Alexander M.

Advisor:

Paffenroth, Randy Clinton and Kong, Xiangnan

Editor:

Worcester Polytechnic Institute

Fecha de Creacion:

2021-04-30

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Data Science
A Multi-stage Anti-blur Network for Unsupervised Deformable Image Registration

Creador:

Su, Yao

Advisor:

Kong, Xiangnan

Editor:

Worcester Polytechnic Institute

Fecha de Creacion:

2021-05-04

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Data Science
SIFT: A Deep Network for Irregularly-Sampled Multivariate Time Series

Palabra clave:

deep learning and time series

Creador:

Perucic, Aleksa

Advisor:

Rundensteiner, Elke A.

Editor:

Worcester Polytechnic Institute

Fecha de Creacion:

2020-12-11

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Computer Science
Machine learning approaches to manufacturing and materials: Applications to semi-supervised, unbalanced and heterogeneous data problems

Creador:

Karkare, Rasika S

Advisor:

Paffenroth, Randy Clinton

Editor:

Worcester Polytechnic Institute

Fecha de Creacion:

2019-08-07

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Data Science
Empowering Computer Vision Models with Deep Learning for Robotic Perception and Drone Geolocation

Palabra clave:

Deep Learning, Robotic Vision, Computer Vision, Perception, and Autonomous Driving

Creador:

Zhao, Yiming

Advisor:

Huang, Xinming

Editor:

Worcester Polytechnic Institute

Fecha de Creacion:

2021-08-27

Resource Type:

Dissertation

Degree:

PhD

Unit (Department):

Electrical & Computer Engineering

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PhD Dissertations26
Masters Theses10

Year

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Current results range from 2015 to 2024

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Creador

Ahsan, Ramoza1
Cao, Lei1
Carr, William1
Dai, Xin1
Karkare, Rasika S1
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Advisor

Alvarez, Sergio A.1
Brown, Donald R.1
Eltabakh, Mohamed Y.1
Guo, Tian2
Huang, Xinming3
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Contributor

Agu, Emmanuel O.1
Alvarez, Sergio A.1
Athitsos, Vassilis1
Beck, Joseph E.1
Brown, Donald R.2
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Unit (Department)

Computer Science13
Data Science17
Electrical & Computer Engineering4
Materials Science & Engineering1
Mathematical Sciences1

Editor

Worcester Polytechnic Institute36

UN SDG

3 - Good Health and Well-being1

Tipo de recurso

Dissertation26
Thesis10

License

https://creativecommons.org/licenses/by-nc/4.0/1
https://creativecommons.org/licenses/by/4.0/1

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