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151.
Neuroevolution Based Inverse Reinforcement Learning
by Budhraja, Karan Kumar, M.S.  University of Maryland, Baltimore County. 2016: 85 pages; 10140581.
152.
Inferring Mechanisms of Toxicity from Differential Genomics and Semantic Knowledge Representations
by Tripodi, I. J., Ph.D.  University of Colorado at Boulder. 2020: 149 pages; 27996986.
153.
Modelling and monitoring ad hoc networks
by McClary, Daniel W., Ph.D.  Arizona State University. 2008: 143 pages; 3295147.
154.
155.
156.
Improving Knowledge Graph Quality with Network Representation Learning
by Shi, Baoxu, Ph.D.  University of Notre Dame. 2018: 108 pages; 13836462.
157.
Development of an Artificial Neural Network to Predict In-Use Engine Emissions
by Morris, Melissa L., Ph.D.  West Virginia University. 2011: 190 pages; 3486738.
158.
Modeling Individual Differences in the Neural Encoding of Working Memory through Network-based Functional Neuroimaging and Clinical Neuropsychology
by Kearney-Ramos, Tonisha Evette, Ph.D.  University of Arkansas for Medical Sciences. 2015: 194 pages; 10103554.
159.
Utilizing Various Neural Network Architectures to Play a Game Developed for Human Players
by Arender, Blake, M.S.  The University of Mississippi. 2018: 51 pages; 10752390.
160.
Neither recurrent hypoglycemia nor chronic aerobic training alter the content of MCTs in the ventromedial hypothalamus
by Oberlin, Douglas J., Ph.D.  The University of North Carolina at Greensboro. 2016: 158 pages; 10154649.
161.
Evolving Convolutional Neural Network Topologies for Image Recognition
by Strauch, Yaron Leander, M.S.  The University of Southampton. 2019: 92 pages; 28150656.
162.
163.
Detecting Phone-Related Pedestrian Behavior Using a Two-Branch Convolutional Neural Network
by Saenz, Humberto, M.S.  The University of Texas Rio Grande Valley. 2019: 65 pages; 27544252.
164.
165.
Machine Learning Applications to Robot Control
by Abdul-hadi, Omar, Ph.D.  University of California, Berkeley. 2018: 93 pages; 10817183.
166.
360° View Camera Based Visual Assistive Technology for Contextual Scene Information
by Ali, Mazin, M.S.  Rochester Institute of Technology. 2017: 54 pages; 10621991.
167.
Cyber Incident Anomaly Detection Using Multivariate Analysis and Machine Learning
by Campbell, Ronald K., D.Engr.  The George Washington University. 2018: 121 pages; 10784357.
168.
Deep Learning Applications for Medical Imaging and Time-Series Data
by Martinez, Anthony, M.S.  California State University, Long Beach. 2019: 60 pages; 27545665.
169.
Electric field effects on single and small networks of neurons
by Reznik, Robert I., Ph.D.  George Mason University. 2016: 138 pages; 10032412.
170.
Der Einfluss von Erythropoetin auf die neuronale Differenzierung von murinen, induzierten pan neuralen Progenitorzellen
by Flemming, Johannes, Ph.D.  Bayerische Julius-Maximilians-Universitaet Wuerzburg (Germany). 2017: 78 pages; 10664613.
171.
Non-parameterized Sentence Embeddings
by Almarwani, Nada, Ph.D.  The George Washington University. 2020: 118 pages; 28087930.
172.
173.
The human neuroscience of the risk for and expression of drug addiction
by Elton, Amanda Lea, Ph.D.  University of Arkansas for Medical Sciences. 2012: 127 pages; 3551921.
174.
Insights from Reconstructing Cellular Networks in Transcription, Stress, and Cancer
by Ke, Eugene Yunghung, Ph.D.  University of California, San Diego. 2012: 186 pages; 3517046.
175.
Data-Driven Filtration and Segmentation of Mesoscale Neural Dynamics
by Weiser, Sydney C., Ph.D.  University of California, Santa Cruz. 2020: 94 pages; 28093646.
178.
Latent Variable Modeling for Networks and Text: Algorithms, Models and Evaluation Techniques
by Foulds, James Richard, Ph.D.  University of California, Irvine. 2014: 287 pages; 3631094.
179.
Bag-of-Concepts as a Movie Genome and Representation
by Zhou, Colin, M.S.  University of California, San Diego. 2016: 41 pages; 10150182.
180.
Novel patterns of activity in the hippocampus
by Kay, Kenneth, Ph.D.  University of California, San Francisco. 2016: 130 pages; 10133436.
151 - 180 of 25229 displayed.
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