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33.
Optimization Methods Combining Variable Splitting with Deep Learning
by Cowen, Benjamin, Ph.D.  New York University Tandon School of Engineering. 2019: 136 pages; 13882605.
34.
Representation Learning on Sequential Medical Data
by Hyland, Stephanie L., Ph.D.  Weill Medical College of Cornell University. 2019: 245 pages; 13805668.
35.
Learning to Learn with Gradients
by Finn, Chelsea B., Ph.D.  University of California, Berkeley. 2018: 199 pages; 10930398.
36.
Safety Engineering of Computational Cognitive Architectures within Safety-Critical Systems
by Dreany, Harry Hayes, Ph.D.  The George Washington University. 2018: 204 pages; 10688677.
37.
Secure framework for implementing distributed networked control systems with mobile observers using heterogeneous controllers
by Padilla-Franco, Javitt Higmar Nahitt, Ph.D.  New Mexico State University. 2017: 194 pages; 10759028.
38.
Social network analysis: Determining betweenness centrality of a network using Ant Colony Optimization
by Rubano, Vincent, M.S.  Southern Connecticut State University. 2016: 117 pages; 10108549.
39.
Multi-Resolution Superpixels for Visual Saliency Detection in a Large Image Collection
by Singh, Anurag, Ph.D.  University of Louisiana at Lafayette. 2015: 128 pages; 3718565.
41.
Learning functions on unknown manifolds
by Zhou, Xueyuan, Ph.D.  The University of Chicago. 2011: 126 pages; 3487652.
42.
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.
43.
Learning to Play Cooperative Games via Reinforcement Learning
by Wei, Ermo, Ph.D.  George Mason University. 2018: 162 pages; 13420351.
45.
Using analogy to overcome brittleness in AI systems
by Klenk, Matthew Evans, Ph.D.  Northwestern University. 2009: 213 pages; 3352621.
46.
Cellular Automata in financial applications
by Gao, Yuying, Ph.D.  University of California, Riverside. 2008: 172 pages; 3305677.
47.
48.
Automatic Snooker-Playing Robot with Speech Recognition Using Deep Learning
by Bhagat, Kunj H., M.S.  California State University, Long Beach. 2018: 61 pages; 10977867.
49.
Higher-order Random Walk Methods for Data Analysis
by Wu, Tao, Ph.D.  Purdue University. 2018: 135 pages; 10790747.
51.
Practical Inference-Time Attacks against Machine-Learning Systems and a Defense against Them
by Sharif, Mahmood, Ph.D.  Carnegie Mellon University. 2019: 137 pages; 27662625.
52.
A hybrid approach for ontology-based information extraction
by Gutierrez, Fernando, Ph.D.  University of Oregon. 2015: 132 pages; 10006380.
53.
Testing Software Development Project Productivity Model
by Lipkin, Ilya, Ph.D.  The University of Toledo. 2011: 217 pages; 10631147.
54.
Cross-Lingual Transfer of Semantics in Low-Resource Settings
by Aminian, Maryam, Ph.D.  The George Washington University. 2019: 142 pages; 27664551.
55.
Deep Networks for Forward Prediction and Planning
by Henaff, Mikael, Ph.D.  New York University. 2018: 164 pages; 10928805.
56.
Issues with Reality: Defining and Exploring the Logics of Alternate Reality Games
by Johnson, Jay, Ph.D.  The University of Wisconsin - Milwaukee. 2018: 274 pages; 10931461.
57.
Semantically Enhanced Traceability across Software and System-Related Natural Language Artifacts
by Guo, Jin L. C., Ph.D.  University of Notre Dame. 2017: 181 pages; 13836191.
58.
Grammatical methods in computer vision
by Purdy, Eric, Ph.D.  The University of Chicago. 2013: 212 pages; 3557428.
31 - 60 of 19017 displayed.
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