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1.
Hybrid - Nudging Ensemble Kalman Filter and Ensemble Adjustment Kalman Filter Approach to Subsurface Water Contaminant Transport Modeling
by Hokey, Wisdom Mawuli, M.S.  North Carolina Agricultural and Technical State University. 2016: 76 pages; 10118469.
2.
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.
4.
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.
5.
Probabilistic Clustering Ensemble Evaluation for Intrusion Detection
by McElwee, Steven M., Ph.D.  Nova Southeastern University. 2018: 166 pages; 10844875.
6.
Ensemble supervised and unsupervised learning with Kepler variable stars
by Bass, Gideon, Ph.D.  George Mason University. 2015: 120 pages; 10027479.
7.
A comparison of parametric and non-parametric methods for detecting fraudulent automobile insurance claims
by Ceglia, Cesarina, M.S.  California State University, Long Beach. 2016: 69 pages; 10147317.
8.
Wavelet Transform and Ensemble Logistic Regression for Driver Drowsiness Detection
by Kannanthanathu, Amal Francis, M.S.  California State University, Long Beach. 2017: 44 pages; 10639615.
9.
The effects of criterion-referenced instruction on ensemble performance evaluations and transfer tasks
by Belfast, Mark A., Jr., Ph.D.  The Florida State University. 2013: 153 pages; 3596459.
12.
Computational methods for support vector machine classification and large-scale Kalman filtering
by Howard, Marylesa Marie, Ph.D.  University of Montana. 2013: 124 pages; 3568109.
13.
Improved conformational sampling methods for molecular dynamics simulations
by Okur, Asim, Ph.D.  State University of New York at Stony Brook. 2007: 183 pages; 3299725.
14.
An Ensemble Prognostic Model for Metastatic, Castrate-Resistant Prostate Cancer
by Vang, Yeeleng Scott, M.S.  University of California, Irvine. 2016: 53 pages; 10162542.
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16.
Mars weather and predictability: Modeling and ensemble data assimilation of spacecraft observations
by Greybush, Steven J., Ph.D.  University of Maryland, College Park. 2011: 161 pages; 3478852.
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Predicting National Basketball Association Game Outcomes Using Ensemble Learning Techniques
by Valenzuela, Russell, M.S.  California State University, Long Beach. 2018: 54 pages; 10980443.
19.
Informal Teaching and Learning Practices in a Traditional Jazz Ensemble: A Case Study
by Furiani, Dominic Michael, M.A.  California State University, Long Beach. 2018: 127 pages; 10978203.
20.
The adaptation of contemporary instrumental jazz to arrangements for the vocal jazz ensemble
by Mostin, Sherrine Marie, M.M.  California State University, Long Beach. 2011: 44 pages; 1499280.
21.
Diverse approaches to developing a nontraditional ensemble in a secondary school
by Collins, Danielle, M.A.  California State University, Long Beach. 2016: 89 pages; 10102586.
23.
African folk drum-ensemble works adapted for solo drum set
by Mailloux, Joseph, M.M.  California State University, Long Beach. 2011: 66 pages; 1499180.
24.
L'Age d'or of the Chamber Wind Ensemble
by Gaudry, Danielle D., D.M.A.  University of Cincinnati. 2013: 68 pages; 3596498.
25.
Shielding a musician: A case study on the effectiveness of acoustic shields in live ensemble rehearsals
by Libera, Rebecca Christine Hammontree, D.M.A.  The University of North Carolina at Greensboro. 2009: 111 pages; 3355984.
26.
Statistical Support Algorithms for Clinical Decisions and Prevention of Genetic-related Heart Disease
by Sotero, Charity Faith Gallemit, M.S.  California State University, Long Beach. 2018: 80 pages; 10751893.
27.
“Foggy Sounds” for large ensemble: A study of how timbre affects structure
by Synytsin, Mykhaylo, M.M.  California State University, Long Beach. 2012: 36 pages; 1507784.
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