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31.
Representation Learning on Sequential Medical Data
by Hyland, Stephanie L., Ph.D.  Weill Medical College of Cornell University. 2019: 245 pages; 13805668.
32.
Learning to Learn with Gradients
by Finn, Chelsea B., Ph.D.  University of California, Berkeley. 2018: 199 pages; 10930398.
33.
Safety Engineering of Computational Cognitive Architectures within Safety-Critical Systems
by Dreany, Harry Hayes, Ph.D.  The George Washington University. 2018: 204 pages; 10688677.
34.
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.
35.
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.
36.
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.
38.
Learning functions on unknown manifolds
by Zhou, Xueyuan, Ph.D.  The University of Chicago. 2011: 126 pages; 3487652.
39.
Learning to Predict Human Behavior from Video
by Felsen, Panna, Ph.D.  University of California, Berkeley. 2019: 70 pages; 13886183.
40.
Real-Time Individual Thermal Preferences Prediction Using Visual Sensors
by Cosma, Andrei Claudiu, Ph.D.  The George Washington University. 2019: 147 pages; 13422566.
41.
Stochastic Neural Algorithms
by Engler, Gary Ronald, Jr., Ph.D.  Stevens Institute of Technology. 2018: 161 pages; 10979690.
42.
Deep Learning for Information Extraction
by Nguyen, Thien Huu, Ph.D.  New York University. 2018: 246 pages; 10260911.
43.
Robot Self-Modeling
by Hart, Justin Wildrick, Ph.D.  Yale University. 2014: 216 pages; 3582284.
44.
Learning-Assisted Market-Based Optimization for Truck Task Scheduling
by Danna, Russell J., M.S.  University of Louisiana at Lafayette. 2014: 56 pages; 1557547.
45.
Low-Altitude Operation of Unmanned Rotorcraft
by Scherer, Sebastian, Ph.D.  Carnegie Mellon University. 2011: 123 pages; 3468040.
46.
Predicting National Basketball Association Game Outcomes Using Ensemble Learning Techniques
by Valenzuela, Russell, M.S.  California State University, Long Beach. 2018: 54 pages; 10980443.
47.
A Knowledge Base and Question Answering System Based on Loglan and English
by Linker, Sheldon, Ph.D.  Auburn University. 2011: 167 pages; 3464507.
48.
Unsupervised Learning of Derivational Morphological Constraints
by Sulaiman, Suriani, Ph.D.  Indiana University. 2017: 203 pages; 10687281.
49.
Computational models of problems with writing of English as a second language learners
by Xue, Huichao, Ph.D.  University of Pittsburgh. 2015: 119 pages; 3735883.
51.
Optimal reservoir operations for riverine water quality improvement: A reinforcement learning strategy
by Rieker, Jeffrey Donald, Ph.D.  Colorado State University. 2011: 251 pages; 3454631.
52.
Path planning using ant colony optimization algorithm
by Shao, Jingqing, M.S.  California State University, Long Beach. 2011: 90 pages; 1493185.
53.
Flashes of Genius, Toiled Experimentation, and Now Artificial Creation: A Case for Inventive Process Disclosures
by Wamsley, Cody Scott Dwight, LL.M.  The George Washington University. 2011: 105 pages; 1531546.
54.
Coordinated searching and target identification using teams of autonomous agents
by Lum, Christopher, Ph.D.  University of Washington. 2009: 207 pages; 3356644.
55.
Computational Models for Auditory Scene Analysis
by Mobin, Shariq A., Ph.D.  University of California, Berkeley. 2019: 67 pages; 13885042.
56.
Optimal Subset Selection for Causal Inference Using Machine Learning and Particle Swarm Optimization
by Sharma, Dhruv, D.Engr.  The George Washington University. 2018: 132 pages; 10928545.
57.
Applying Random Forest to Mitigate Cybersecurity Data Breaches in Small Businesses
by Liguori, Patricia Ann, D.Engr.  The George Washington University. 2018: 177 pages; 10928320.
58.
The Localization of Free-Form Surfaces by the Maximization of the Shared Extent
by Geisler, Jeannette, M.S.  University of Cincinnati. 2014: 99 pages; 1585293.
60.
The importance of not being mean: DFM—a norm-referenced data model for face pattern recognition
by Kite, Lawrence Marc, Ph.D.  University of Southern California. 2009: 143 pages; 3355391.
31 - 60 of 585 displayed.
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