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Filtering by: Creator Hardy, Pierre-Yves Remove constraint Creator: Hardy, Pierre-Yves Degree Field Computer Science Remove constraint Degree Field: Computer Science

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Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response Prediction and Wound Healing Status Assessment

Creator:

Wei, Qi

Abstract:

Ph.D. candidate Qi Wei's thesis consists of two projects: Chemotherapy Project: a study based on the research paper "Predicting chemotherapy response of various cancer types using a variational auto-encoder approach" submitted to the bioRxiv preprint archive and accepted by the BMC bioinformatics; and Wound Monitor Project: implementing and assessing analytics...

Resource Type:

Dissertation
Enabling Virtual Globes for A Visual-Auditory User Experience of Spatial Data

Creator:

Gune, Aditya N.

Abstract:

Geographical datasets are large, complex, and can be difficult for users to navigate and derive meaning from. These datasets, as well as the unique insights derived from them, provide tremendous opportunity for social change -- many of the global challenges humankind is currently facing can benefit from analytics or visualization...

Resource Type:

Masters Thesis
Interactive visualization of diversity in multivariate data sets unified across fields of study

Creator:

Pham, Tuan N. T.

Abstract:

The study of the diversity of multivariate objects shares common characteristics across disciplines, including ecology and organizational management. Nevertheless, experts in these two disciplines have adopted somewhat separate diversity concepts and analysis techniques, limiting the ability of potentially sharing and cross comparing these concerns. Moreover, while complex diversity data may...

Resource Type:

Dissertation
Convergence Analysis Framework for Fixed-Point Algorithms in Machine Learning and Signal Processing

Creator:

Vu, Trung

Abstract:

Iterative algorithms are simple yet efficient in solving large-scale optimization problems in practice. With a surge in the amount of data in past decades, these methods have become increasingly important in many application areas including matrix/tensor recovery, deep learning, data mining, and reinforcement learning. To optimize or improve iterative algorithms,...

Resource Type:

Dissertation

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Academic Affiliation

Electrical Engineering and Computer Science4

Advisor

de Amicis, Raffaele1
Metoyer, Ronald1
Raich, Raviv1
Ramsey, Stephen A.1

Commencement Year

Commencement Year range begin – Commencement Year range end

Current results range from 2014 to 2023

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Committee Member

Burnett, Margaret2
Bailey, Mike1
Campbell, Matthew1
Coakley, James1
Fern, Xiaoli Z.1
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Creator

Gune, Aditya N.1
Pham, Tuan N. T.1
Vu, Trung1
Wei, Qi1

Date

Date range begin – Date range end

Current results range from 2013 to 2022

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Decade

2020-20292
2010-20192

Degree Field

Computer Science[remove]4

Degree Level

Doctoral3
Master's1

Degree Name

Doctor of Philosophy (Ph.D.)3
Master of Science (M.S.)1

Language

English [eng]4

License

All rights reserved3
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)1

Non-Academic Affiliation

Oregon State University. Graduate School1

Peer Reviewed

No4

Resource Type

Dissertation3
Masters Thesis1

Rights Statement

In Copyright3
In Copyright - Non-Commercial Use Permitted1

Subject

Biodiversity -- Statistical methods1
Cluster analysis1
Geospatial data1
Information visualization1
Multimodal user interfaces (Computer systems)1
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