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241.
From Event to Story Understanding
by Mostafazadeh, Nasrin, Ph.D.  University of Rochester. 2017: 149 pages; 10618085.
242.
Semi-Supervised Learning for Electronic Phenotyping in Support of Precision Medicine
by Halpern, Yonatan, Ph.D.  New York University. 2016: 353 pages; 10192124.
243.
Does one size fit all? An analysis of tax and expenditure limitations in Colorado
by Ward, Marvin, Jr., Ph.D.  American University. 2015: 197 pages; 3714331.
244.
Analytical techniques for the improvement of mass spectrometry protein profiling
by Pelikan, Richard Craig, Ph.D.  University of Pittsburgh. 2011: 251 pages; 3472018.
245.
Networks of mixture blocks for non parametric Bayesian models with applications
by Porteous, Ian, Ph.D.  University of California, Irvine. 2010: 123 pages; 3403449.
246.
Characterization of protein function using automated computational methods
by Wu, Shirley, Ph.D.  Stanford University. 2009: 179 pages; 3364515.
247.
Applying Evolutionary Computation and Ensemble Approaches to Protein Contact Map and Protein Function Determination
by Chapman, Samuel D., Ph.D.  North Carolina Agricultural and Technical State University. 2016: 153 pages; 10191042.
248.
The Nonnegative Matrix Factorization: Methods and Applications
by Landi, Amanda Kim, Ph.D.  North Carolina State University. 2015: 120 pages; 10586642.
249.
252.
Principal Network Analysis
by Mei, Jonathan B., Ph.D.  Carnegie Mellon University. 2018: 154 pages; 10822110.
253.
Structure prediction and visualization in molecular biology
by Poultney, Christopher S., Ph.D.  New York University. 2010: 131 pages; 3408352.
255.
The ALISA Component Module: General shape classification for digital radiographic images
by Oertel, Carsten K., Ph.D.  The George Washington University. 2009: 276 pages; 3338836.
257.
Tactic-Based Learning for collective learning systems
by Armstrong, Alice, D.Sc.  The George Washington University. 2008: 320 pages; 3304083.
258.
Forecasting Optimality in Resource Utilization for Cloud Computing Systems to Maximize Quality of Service
by Seevaratnam, Niranjan, D.Engr.  The George Washington University. 2019: 118 pages; 10979483.
259.
Deep Learning for Sentiment and Emotion Detection in Multilingual Contexts
by Abdullah, Malak Abdel-Ghani, Ph.D.  The University of North Carolina at Charlotte. 2018: 103 pages; 10846641.
260.
Fusion of Evolution Constructed Features for Computer Vision
by Price, Stanton Robert, Ph.D.  Mississippi State University. 2018: 157 pages; 10746451.
261.
Acoustic and Image Vehicle Classification System
by Hoang, Trong Tuyen, M.S.  California State University, Long Beach. 2017: 56 pages; 10604463.
263.
Generative Probabilistic Models for Analysis of Communication Event Data with Applications to Email Behavior
by Navaroli, Nicholas Martin, Ph.D.  University of California, Irvine. 2014: 249 pages; 3668831.
264.
Robust Classification of Emotion in Human Speech Using Spectrogram Features
by Guven, Erhan, Ph.D.  The George Washington University. 2012: 133 pages; 3502353.
266.
The Performance of Random Prototypes in Hierarchical Models of Vision
by Stewart, Kendall Lee, M.S.  Portland State University. 2015: 79 pages; 1605894.
267.
Object Detection and Recognition in Natural Settings
by Dittmar, George William, M.S.  Portland State University. 2012: 70 pages; 1532056.
268.
Statistical Relational Learning through Structural Analogy and Probabilistic Generalization
by Halstead, Daniel T., Ph.D.  Northwestern University. 2011: 159 pages; 3488474.
269.
User inspired management of scientific jobs in grids and clouds
by Withana, Eran Chinthaka, Ph.D.  Indiana University. 2011: 151 pages; 3488334.
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