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Banerjee, Debrup, author. (orcid)0000-0003-3270-3600

(1)

Fan, Bo, author.

(1)

Jaegle, Andrew, author.

(1)

Kim, Jinseok, author.

(1)

Langendorf, R. E., author. (orcid)0000-0003-1956-0764

(1)

Mahapatra, Suchismit, author. (orcid)0000-0002-1851-4195

(1)

Massachusetts Institute of Technology. degree granting institution.

(1)

Metzgar, Jonathan Brian, author.

(1)

Mohammadi Ghazi, Reza, author.

(1)

Old Dominion University. Electrical/Computer Engineering. degree granting institution.

(1)

Purdue University. Electrical and Computer Engineering. degree granting institution.

(1)

Rios Piedra, Edgar Anselmo, author.

(1)

Roychowdhury, Anirban, author.

(1)

State University of New York at Buffalo. Computer Science and Engineering. degree granting institution.

(1)

The Ohio State University. Computer Science and Engineering. degree granting institution.

(1)

The University of North Carolina at Chapel Hill. Computer Science. degree granting institution.

(1)

Tufts University. Electrical Engineering. degree granting institution.

(1)

University of California, Los Angeles. Biomedical Engineering 0289. degree granting institution.

(1)

University of Colorado Colorado Springs. College of Engineering and Applied Science-Computer Science. degree granting institution.

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University of Colorado at Boulder. Environmental Studies. degree granting institution.

(1)

University of Glasgow (United Kingdom). Department not provided. degree granting institution.

(1)

University of Illinois at Urbana-Champaign. Information Sciences. degree granting institution.

(1)

University of Pennsylvania. Neuroscience. degree granting institution.

(1)

University of Rhode Island. Computer Science. degree granting institution.

(1)

Yang, Shan, author.

(1)

Young, Bryan D., author.

(1)

Yuan, Li, author.

(1)

Zhang, Jiawei, author.

(1)

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Computer science.

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Artificial intelligence.

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Biomedical engineering.

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Electrical engineering.

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Civil engineering.

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Computer engineering.

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Environmental science.

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Information science.

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Information technology.

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Library science.

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Medical imaging.

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Başkent Library

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Cover image for Mechanical Inference in Dynamic Ecosystems

Mechanical Inference in Dynamic Ecosystems

1.

Mechanical Inference in Dynamic Ecosystems

by

Langendorf, R. E., author. (orcid)0000-0003-1956-0764

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10792156

Format:

Excerpt:

ecosystem processes as statistical dynamics of diffusion kernels originating from a network's constituent

Cover image for Learning, Moving, and Predicting with Global Motion Representations

Learning, Moving, and Predicting with Global Motion Representations

2.

Learning, Moving, and Predicting with Global Motion Representations

by

Jaegle, Andrew, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10808343

Format:

Excerpt:

nonrigid motion over long time horizons. In this dissertation, I present methods developed with the goal of

Cover image for Context-Preserving Visual Analytics of Multi-Scale Spatial Aggregation

Context-Preserving Visual Analytics of Multi-Scale Spatial Aggregation

3.

Context-Preserving Visual Analytics of Multi-Scale Spatial Aggregation

by

Zhang, Jiawei, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10808507

Format:

Excerpt:

semantic exploration in the multi-scale space, we design a set of text-based encoding and layout methods

Cover image for Realtime Physically Plausible Global Illumination Using Scalable Spherical Harmonics Hierarchies

Realtime Physically Plausible Global Illumination Using Scalable Spherical Harmonics Hierarchies

4.

Realtime Physically Plausible Global Illumination Using Scalable Spherical Harmonics Hierarchies

by

Metzgar, Jonathan Brian, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10750452

Format:

Excerpt:

path tracing methods remains the best way to simulate a realistic image, but only a few types of simple

Cover image for Development of Segmentation Variability Maps to Improve Brain Tumor Quantitative Assessment Using Multimodal Magnetic Resonance Imaging

Development of Segmentation Variability Maps to Improve Brain Tumor Quantitative Assessment Using Multimodal Magnetic Resonance Imaging

5.

Development of Segmentation Variability Maps to Improve Brain Tumor Quantitative Assessment Using Multimodal Magnetic Resonance Imaging

by

Rios Piedra, Edgar Anselmo, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10829215

Format:

Excerpt:

approaches, setting the bases for the development of better knowledge-based methods. Additionally, a novel

Cover image for Speech Based Machine Learning Models for Emotional State Recognition and PTSD Detection

Speech Based Machine Learning Models for Emotional State Recognition and PTSD Detection

6.

Speech Based Machine Learning Models for Emotional State Recognition and PTSD Detection

by

Banerjee, Debrup, author. (orcid)0000-0003-3270-3600

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10633612

Format:

Excerpt:

outperformed most state-of-the-art methods in the literature and are potentially efficient models for emotional

Cover image for Exploiting Correlation Structures for Geoscience

Exploiting Correlation Structures for Geoscience

7.

Exploiting Correlation Structures for Geoscience

by

Fan, Bo, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10791613

Format:

Excerpt:

, oceanography, and engineering. In geoscience methods, statistical signal processing, modeling, and machine

Cover image for Scalable Nonlinear Spectral Dimensionality Reduction Methods for Streaming Data

Scalable Nonlinear Spectral Dimensionality Reduction Methods for Streaming Data

8.

Scalable Nonlinear Spectral Dimensionality Reduction Methods for Streaming Data

by

Mahapatra, Suchismit, author. (orcid)0000-0002-1851-4195

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10823954

Format:

Excerpt:

(NLSDR) methods have proved to be an indispensable tool. However, standard NLSDR methods, e.g. Isomap or

Cover image for Non-Rigid Body Mechanical Property Recovery From Images and Videos

Non-Rigid Body Mechanical Property Recovery From Images and Videos

9.

Non-Rigid Body Mechanical Property Recovery From Images and Videos

by

Yang, Shan, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10790737

Format:

Excerpt:

-swarm optimization methods. I demonstrate the effectiveness of this approach on real-time interaction with virtual

Cover image for Inference and Uncertainty Quantification for Unsupervised Structural Monitoring Problems

Inference and Uncertainty Quantification for Unsupervised Structural Monitoring Problems

10.

Inference and Uncertainty Quantification for Unsupervised Structural Monitoring Problems

by

Mohammadi Ghazi, Reza, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10902900

Format:

Excerpt:

dimensionality of data sets. In doing so, we have mainly used the statistical graphical models and Markov random

Cover image for Implementation of Self-organizing Maps with Python

Implementation of Self-organizing Maps with Python

11.

Implementation of Self-organizing Maps with Python

by

Yuan, Li, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10287943

Format:

Excerpt:

visualization, such as evaluating the model's quality with statistical methods and plotting marginal probability

Cover image for The Impact of Author Name Disambiguation on Knowledge Discovery from Large-Scale Scholarly Data

The Impact of Author Name Disambiguation on Knowledge Discovery from Large-Scale Scholarly Data

12.

The Impact of Author Name Disambiguation on Knowledge Discovery from Large-Scale Scholarly Data

by

Kim, Jinseok, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10903456

Format:

Excerpt:

misidentified authors via first-initial and all-initials disambiguation methods. In addition, I simulate the

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