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61.
Blood Glucose Management Streptozotocin-Induced Diabetic Rats by Artificial Neural Network Based Model Predictive Control
by Bahremand, Saeid, M.S.  Southern Illinois University at Edwardsville. 2016: 92 pages; 10249804.
62.
Learning to Manipulate Novel Objects for Assistive Robots
by Sung, Jaeyong, Ph.D.  Cornell University. 2017: 190 pages; 10258261.
63.
Parallel Junction Tree Algorithm on GPU
by Zheng, Lu, Ph.D.  Carnegie Mellon University. 2013: 94 pages; 3575068.
64.
Real-Time Adaptive Data-Driven Perception for Anomaly Priority Scoring at Scale
by Miraftabzadeh, Seyed Ali, Ph.D.  The University of Texas at San Antonio. 2017: 142 pages; 10686275.
65.
Smart Robotics Prosthesis Using Deep Learning and Musculoskeletal Modeling
by Chaudhari, Dipti K., M.S.  California State University, Long Beach. 2017: 56 pages; 10690581.
68.
Topics in statistical learning
by Hofling, Holger, Ph.D.  Stanford University. 2009: 132 pages; 3364502.
69.
Statistical Relational Learning through Structural Analogy and Probabilistic Generalization
by Halstead, Daniel T., Ph.D.  Northwestern University. 2011: 159 pages; 3488474.
72.
Precise Vehicle Classification Using a Quarter Sized Sensing System
by Patel, Kuntal G., M.S.  California State University, Long Beach. 2017: 82 pages; 10263671.
73.
Feature Selection by Iterative Reweighting: An Exploration of Algorithms for Linear Models and Random Forests
by Jaiantilal, Abhishek, Ph.D.  University of Colorado at Boulder. 2013: 164 pages; 3592307.
74.
Large-Scale, Low-Latency State Estimation Of Cyberphysical Systems With An Application To Traffic Estimation
by Hunter, Timothy Jason, Ph.D.  University of California, Berkeley. 2014: 176 pages; 3686329.
75.
Optimizing task assignment for collaborative computing over heterogeneous network devices
by Kao, Yi-Hsuan, Ph.D.  University of Southern California. 2016: 185 pages; 10124490.
76.
Indoor Human Information Acquisition from Physical Vibrations
by Pan, Shijia, Ph.D.  Carnegie Mellon University. 2018: 197 pages; 10816870.
78.
Accurate prediction of protein function using GOstruct
by Sokolov, Artem, Ph.D.  Colorado State University. 2011: 90 pages; 3489918.
79.
80.
Machine Learning and Cellular Automata: Applications in Modeling Dynamic Change in Urban Environments
by Curtis, Brian J., D.Engr.  The George Washington University. 2018: 84 pages; 10785215.
81.
Deep Learning for Attribute Inference, Parsing, and Recognition of Face
by Luo, Ping, Ph.D.  The Chinese University of Hong Kong (Hong Kong). 2014: 122 pages; 3691916.
82.
Advanced neural network clustering techniques for liquid crystal texture classification
by Karaszi, Zoltan, M.C.Sc.  Kent State University. 2013: 71 pages; 1555292.
83.
Learning in chaotic recurrent neural networks
by Sussillo, David C., Ph.D.  Columbia University. 2009: 134 pages; 3346497.
84.
Unsupervised Learning of Derivational Morphological Constraints
by Sulaiman, Suriani, Ph.D.  Indiana University. 2017: 203 pages; 10687281.
85.
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.
86.
Learning and inference algorithms for dynamical system models of dextrous motion
by Varadarajan, Balakrishnan, Ph.D.  The Johns Hopkins University. 2011: 169 pages; 3496153.
88.
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.
89.
Saliency based image processing to aid retinal prosthesis recipients
by Parikh, Neha, Ph.D.  University of Southern California. 2010: 194 pages; 3418264.
90.
Ensemble supervised and unsupervised learning with Kepler variable stars
by Bass, Gideon, Ph.D.  George Mason University. 2015: 120 pages; 10027479.
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