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1.
Application of a Hidden Bayes Naïve Multiclass Classifier in Network Intrusion Detection
by Koc, Levent, Ph.D.  The George Washington University. 2013: 146 pages; 3546303.
2.
Structural induction: Towards automatic ontology elicitation
by Silvescu, Adrian, Ph.D.  Iowa State University. 2008: 187 pages; 3307040.
3.
Predicting National Basketball Association Game Outcomes Using Ensemble Learning Techniques
by Valenzuela, Russell, M.S.  California State University, Long Beach. 2018: 54 pages; 10980443.
4.
Benchmarks for Evaluating Anomaly-Based Intrusion Detection Solutions
by Miller, Nicholas J., M.S.  California State University, Long Beach. 2018: 30 pages; 10752128.
5.
Advances in online learning-based spam filtering
by Sculley, D., Ph.D.  Tufts University. 2008: 212 pages; 3320103.
7.
Needle in the Noise: Detecting Public Safety Events Over Twitter
by Paulson, Keith, M.Eng.  University of Colorado Colorado Springs. 2019: 52 pages; 13864461.
9.
In-Node Vehicle Classification and Identification
by Bavkar, Indraneel N., M.S.  California State University, Long Beach. 2017: 50 pages; 10639676.
10.
Clustering algorithms for next-generation sequencing data from heterogenous populations
by Prabhakara, Shruthi, Ph.D.  The Pennsylvania State University. 2012: 126 pages; 3737327.
11.
Wavelet transform and neural network
by Ghafoori, Elyar, M.S.  California State University, Long Beach. 2014: 60 pages; 1527935.
12.
Three-dimensional hand gesture recognition using a ZCam and an SVM-SMO classifier
by Bonansea, Lucas, M.S.  Iowa State University. 2009: 63 pages; 1468148.
13.
Modeling content lifespan in Online Social Networks using data mining
by Gibbons, John, Ph.D.  University of Kansas. 2014: 111 pages; 3625219.
14.
Statistical problems in DNA microarray data analysis
by Wang, Nancy Naichao, Ph.D.  University of California, Berkeley. 2009: 166 pages; 3402692.
15.
Feature selection techniques and applications in bioinformatics
by Dittman, David, M.S.  Florida Atlantic University. 2011: 147 pages; 1504155.
17.
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.
18.
An efficient approach to machine learning based text classification through distributed computing
by Immaneni, Raghu Nandan, M.S.  California State University, Long Beach. 2015: 86 pages; 1603338.
19.
Near-optimality and robustness of greedy algorithms for Bayesian pool-based active learning
by Cuong, Nguyen Viet, Ph.D.  National University of Singapore (Singapore). 2015: 124 pages; 10006066.
20.
New approaches to multiple testing of grouped hypotheses
by Liu, Yanping, Ph.D.  Temple University. 2016: 98 pages; 10111313.
22.
A methodology for risk assessment of product line architectures
by Jalali, Amir H., M.S.  West Virginia University. 2008: 138 pages; 1458740.
23.
Electroencephalogram classification by forecasting with recurrent neural networks
by Forney, Elliott M., M.S.  Colorado State University. 2011: 79 pages; 1503664.
25.
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.
26.
Early prediction of student goals and affect in narrative-centered learning environments
by Lee, Sunyoung, Ph.D.  North Carolina State University. 2008: 98 pages; 3329207.
27.
Prognostic Health Assessment of an Automotive Proton Exchange Membrane Fuel Cell System
by Rukas, Christopher J., M.S.  Rochester Institute of Technology. 2013: 105 pages; 1586450.
28.
Taxonomic assignment of gene sequences using hidden Markov models
by Huang, Huanhua, M.S.  Northern Arizona University. 2014: 54 pages; 1563863.
29.
User inspired management of scientific jobs in grids and clouds
by Withana, Eran Chinthaka, Ph.D.  Indiana University. 2011: 151 pages; 3488334.
30.
Multimodal Deep Learning to Enhance the Practice of Radiology
by Badgeley, Marcus Alexander, Ph.D.  Icahn School of Medicine at Mount Sinai. 2019: 236 pages; 10974774.
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