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271.
Machine Learning for the Automated Identification of Cyberbullying and Cyberharassment
by Ducharme, Daniel N., Ph.D.  University of Rhode Island. 2017: 145 pages; 10259474.
272.
Computational Pan-Genomics: Algorithms and Applications
by Cleary, Alan Michael, Ph.D.  Montana State University. 2018: 133 pages; 10792396.
273.
A study of cell-based genetic algorithms with applications to neural networks
by Dinh, Hoa, M.S.  California State University, Long Beach. 2013: 62 pages; 1527480.
274.
Understanding What May Have Happened in Dynamic, Partially Observable Environments
by Molineaux, Matthew, Ph.D.  George Mason University. 2017: 173 pages; 10618399.
275.
Automated Cancer Detection and Drug Discovery: Two Biomedical Vision Systems
by Kabra, Mayank, Ph.D.  University of California, San Diego. 2011: 114 pages; 3466354.
276.
Theory of Graph Traversal Edit Distance, Extensions, and Applications
by Ebrahimpour Boroojeny, Ali, M.S.  Colorado State University. 2019: 67 pages; 13812734.
277.
Towards Temporal Semantic Scene Understanding
by Ghafarianzadeh, Mahsa, Ph.D.  University of Colorado at Boulder. 2017: 152 pages; 10271366.
278.
Botnet Detection Using Graph Based Feature Clustering
by Akula, Ravi Kiran, M.S.  Mississippi State University. 2018: 69 pages; 10751733.
280.
A Software Framework for the Detection and Classification of Biological Targets in Bio-Nano Sensing
by Hafeez, Abdul, Ph.D.  Virginia Polytechnic Institute and State University. 2014: 112 pages; 10595350.
281.
A Machine Learning Approach to Quantifying Likely Locations of Gas and Gas Hydrate Accumulation
by Runyan, Taylor E., M.S.  University of Louisiana at Lafayette. 2017: 55 pages; 10268964.
282.
Algorithm for Enumerating Hypergraph Transversals
by Casita, Roscoe, M.S.  University of Oregon. 2017: 59 pages; 10633967.
283.
On the Usability of Continuous Time Bayesian Networks: Improving Scalability and Expressiveness
by Perreault, Logan Jared, Ph.D.  Montana State University. 2017: 250 pages; 10258540.
284.
Learning from Temporally-Structured Human Activities Data
by Lipton, Zachary C., Ph.D.  University of California, San Diego. 2017: 274 pages; 10683703.
285.
Computational modeling of biological neural networks on GPUS: Strategies and performance
by Galbraith, Byron V., M.S.  Marquette University. 2010: 130 pages; 1479117.
286.
Deep Learning for Information Extraction
by Nguyen, Thien Huu, Ph.D.  New York University. 2018: 246 pages; 10260911.
287.
Lojbanic English, An Interlingua for Parallel Machine Translation
by Immes, Luke P., Ph.D.  University of Massachusetts Lowell. 2019: 164 pages; 13880804.
288.
Improving the performance of cross-domain authorship attribution
by Sapkota, Upendra, Ph.D.  The University of Alabama at Birmingham. 2015: 85 pages; 3739881.
289.
Decision Analysis Techniques for Adult Learners: Application to Leadership
by Toosi, Farah, Ed.D.  Pepperdine University. 2017: 142 pages; 10600190.
290.
Toward understanding speech planning by observing its execution – Representations, modeling and analysis
by Ramanarayanan, Vikram, Ph.D.  University of Southern California. 2014: 170 pages; 3643149.
291.
Prioritized Grammar Enumeration: A novel method for symbolic regression
by Worm, Anthony, Ph.D.  State University of New York at Binghamton. 2016: 180 pages; 10137419.
292.
Towards Fast and Efficient Representation Learning
by Li, Hao, Ph.D.  University of Maryland, College Park. 2018: 147 pages; 10845690.
293.
Object Detection and Recognition in Natural Settings
by Dittmar, George William, M.S.  Portland State University. 2012: 70 pages; 1532056.
294.
Criticality Assessments for Improving Algorithmic Robustness
by Jones, Thomas Berry, Ph.D.  The University of New Mexico. 2018: 190 pages; 10980232.
295.
Methods for improving the design and performance of evolutionary algorithms
by Bassett, Jeffrey K., Ph.D.  George Mason University. 2012: 159 pages; 3549855.
296.
Change -point distribution estimation in animal learning experiments
by Li, Xiaodong, Ph.D.  Columbia University. 2010: 127 pages; 3400635.
298.
Application of Graph Theoretic Clustering on Some Biomedical Data Sets
by Ahlert, Darla, M.S.  Southern Illinois University at Edwardsville. 2015: 59 pages; 1588658.
299.
An Investigation of Anomaly-based Ensemble Models for Multi-domain Intrusion Detection
by Mikhail, Joseph W., D.Engr.  The George Washington University. 2019: 117 pages; 10977908.
300.
Enabling open domain interactive storytelling using a data-driven case-based approach
by Swanson, Reid, Ph.D.  University of Southern California. 2010: 228 pages; 3418269.
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