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1.
Cross-Lingual Alignment of Word & Sentence Embeddings
by Aldarmaki, Hanan, Ph.D.  The George Washington University. 2019: 113 pages; 13812118.
2.
Cross-Lingual Word Sense Disambiguation for Low-Resource Hybrid Machine Translation
by Rudnick, Alexander James, Ph.D.  Indiana University. 2018: 167 pages; 13422906.
3.
Cross-Lingual Transfer of Semantics in Low-Resource Settings
by Aminian, Maryam, Ph.D.  The George Washington University. 2019: 142 pages; 27664551.
4.
Multi-Task and Transfer Learning in Low-Resource Speech Recognition
by Meyer, Josh, Ph.D.  The University of Arizona. 2019: 172 pages; 22615820.
5.
Classifying Websites Using Word Vectors and Other Techniques: An Application of Zipf’s Law
by Robles, Alejandro, M.S.  California State University, Long Beach. 2019: 50 pages; 22589849.
7.
Quantitative Embeddability and Connectivity in Metric Spaces
by Eriksson-Bique, Sylvester David, Ph.D.  New York University. 2017: 267 pages; 10261097.
8.
Political Semantics: Methods and Applications in the Study of Meaning for Political Science
by Rodriguez Sosa, Pedro L., Ph.D.  New York University. 2019: 149 pages; 13811817.
9.
Deep Learning for Information Extraction
by Nguyen, Thien Huu, Ph.D.  New York University. 2018: 246 pages; 10260911.
10.
Improving Knowledge Graph Quality with Network Representation Learning
by Shi, Baoxu, Ph.D.  University of Notre Dame. 2018: 108 pages; 13836462.
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12.
Needle in the Noise: Detecting Public Safety Events Over Twitter
by Paulson, Keith, M.Eng.  University of Colorado Colorado Springs. 2019: 52 pages; 13864461.
13.
Feature Selection for Diffusion Methods Within a Supervised Context
by Le, Minh-Tam, Ph.D.  Yale University. 2014: 135 pages; 3582256.
14.
Computational Models for Auditory Scene Analysis
by Mobin, Shariq A., Ph.D.  University of California, Berkeley. 2019: 67 pages; 13885042.
16.
Attention-Dependent and Continuous Representation Learning using Deep Autoencoders
by Dellana, Ryan, Ph.D.  North Carolina Agricultural and Technical State University. 2019: 104 pages; 22583727.
17.
Comparison and Fine-Grained Analysis of Sequence Encoders for Natural Language Processing
by Keller, Thomas Anderson, M.S.  University of California, San Diego. 2017: 87 pages; 10599339.
18.
Representation Learning on Sequential Medical Data
by Hyland, Stephanie L., Ph.D.  Weill Medical College of Cornell University. 2019: 245 pages; 13805668.
20.
Implementation of an improved embedded SQL for Java
by Bradley, Louis M., M.S.  Florida Atlantic University. 2012: 91 pages; 1522078.
21.
Bag-of-Concepts as a Movie Genome and Representation
by Zhou, Colin, M.S.  University of California, San Diego. 2016: 41 pages; 10150182.
22.
Geometric cobordism categories
by Ayala, David, Ph.D.  Stanford University. 2009: 166 pages; 3364494.
23.
Spectral geometry with applications to data analysis
by Portegies, Jacobus W., Ph.D.  New York University. 2014: 147 pages; 3635292.
24.
New Paths from Splay to Dynamic Optimality
by Levy, Caleb Carson, Ph.D.  Princeton University. 2019: 137 pages; 13885892.
25.
Discovery of Latent Factors in High-dimensional Data Using Tensor Methods
by Huang, Furong, Ph.D.  University of California, Irvine. 2016: 261 pages; 10125323.
26.
Roots of Polynomial Congruences
by Welsh, Matthew C, Ph.D.  Rutgers The State University of New Jersey, School of Graduate Studies. 2019: 89 pages; 13856719.
27.
Deep Learning for Sentiment and Emotion Detection in Multilingual Contexts
by Abdullah, Malak Abdel-Ghani, Ph.D.  The University of North Carolina at Charlotte. 2018: 103 pages; 10846641.
28.
The Local Langlands Correspondence for Tamely Ramified Groups
by Roe, David Lawrence, Ph.D.  Harvard University. 2011: 156 pages; 3462160.
29.
Cobordism categories, corners, and surgery
by Genauer, Josh, Ph.D.  Stanford University. 2009: 78 pages; 3364500.
30.
Predicting Mental State Using Social Media Posts
by Seshadri, Subramaniam, M.S.  California State University, Long Beach. 2019: 56 pages; 13863615.
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