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2.
La transversalité dans l'oeuvre littéraire d'Édouard Glissant
by Domond, Evens, Ph.D.  State University of New York at Albany. 2017: 245 pages; 10683774.
3.
Visual Speech Perception of Arabic Emphatics and Gutturals
by Foster, Maha Saliba, Ph.D.  University of Colorado at Boulder. 2016: 170 pages; 10151052.
4.
Cross-Lingual Word Sense Disambiguation for Low-Resource Hybrid Machine Translation
by Rudnick, Alexander James, Ph.D.  Indiana University. 2018: 167 pages; 13422906.
5.
Lower Bound Resource Requirements for Machine Intelligence
by Gilmanov, Timur, Ph.D.  Indiana University. 2018: 149 pages; 10980279.
6.
The Writing Machine
by Moore, Bryan A., M.F.A.  California State University, Long Beach. 2010: 9 pages; 1486324.
8.
Syntactic Agreement in Bilingual Corpora
by Burkett, David Ernesto, Ph.D.  University of California, Berkeley. 2012: 73 pages; 3555595.
9.
Optimizing Machine Translation by Learning to Search
by Galron, Daniel, Ph.D.  New York University. 2012: 218 pages; 3546405.
10.
Optimized Veterinary Thermographic Image Classification using Support Vector Machines and Noise Mitigation
by Lama, Norsang, M.S.  Southern Illinois University at Edwardsville. 2017: 56 pages; 10616467.
11.
An Ensemble Prognostic Model for Metastatic, Castrate-Resistant Prostate Cancer
by Vang, Yeeleng Scott, M.S.  University of California, Irvine. 2016: 53 pages; 10162542.
12.
Machine-Learning Methods for Credit Card Fraud Detection
by Woolston, Sarah E., M.S.  California State University, Long Beach. 2017: 100 pages; 10602012.
13.
Machine Learning in Neuroimaging
by Punugu, Venkatapavani Pallavi, M.S.  State University of New York at Buffalo. 2017: 41 pages; 10284048.
14.
Scalable virtual machine multiplexing
by Gupta, Diwaker, Ph.D.  University of California, San Diego. 2009: 183 pages; 3338860.
16.
In-Node Machine Learning-based Vehicle Classification
by Bhattarya, Rahul, M.S.  California State University, Long Beach. 2018: 62 pages; 10837826.
17.
Search-based optimization for compiler machine-code generation
by Clauson, Aran, Ph.D.  University of Oregon. 2013: 121 pages; 3600071.
18.
Host-[2]Rotaxane: A Novel Molecular Machine
by Zehnder, Donald W., II, Ph.D.  University of Cincinnati. 2003: 201 pages; 10857196.
19.
Machine Learning Applications to Robot Control
by Abdul-hadi, Omar, Ph.D.  University of California, Berkeley. 2018: 93 pages; 10817183.
20.
Chunk alignment for Corpus-Based Machine Translation
by Kim, Jae Dong, Ph.D.  Carnegie Mellon University. 2011: 143 pages; 3528565.
21.
Vehicle classification using machine learning algorithm
by Patel, Darshan D., M.S.  California State University, Long Beach. 2015: 37 pages; 1604876.
22.
Automated peritoneal dialysis (APD) machine modeling
by Rodriguez, Marvin O., M.S.  California State University, Long Beach. 2016: 38 pages; 10196401.
23.
An optogenetic brain-machine interface for spatiotemporal neuromodulation
by Baumgartner, Ryan, M.S.  The University of Wisconsin - Milwaukee. 2014: 97 pages; 1573289.
24.
Heterogeneous Treatment Effect Estimation Using Machine Learning
by Kuenzel, Soeren R., Ph.D.  University of California, Berkeley. 2019: 177 pages; 13903254.
25.
Height controller design for laser cutting machine
by Xia, Keru, M.S.  Southern Methodist University. 2016: 48 pages; 10108630.
26.
Modernizing Check Fraud Detection with Machine Learning
by Rose, Lydia M., M.S.  Utica College. 2018: 64 pages; 13421455.
27.
A Machine Learning Approach to Genome Assessment
by Thrash, Charles Adam, Ph.D.  Mississippi State University. 2019: 104 pages; 22583353.
28.
Lojbanic English, An Interlingua for Parallel Machine Translation
by Immes, Luke P., Ph.D.  University of Massachusetts Lowell. 2019: 164 pages; 13880804.
29.
Using Machine Learning Methods to Predict NFL Victors
by Urista Benitez, Octavio Misael, M.S.  California State University, Long Beach. 2017: 88 pages; 10606129.
30.
Automatic improvisation: A study in human /machine collaboration
by Wilson, Adam James, Ph.D.  University of California, San Diego. 2009: 151 pages; 3386761.
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