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1.
Nonlinear epilepsy forewarning by support vector machines
by Ashbee, William S., M.S.  University of South Alabama. 2013: 51 pages; 1604736.
2.
Optimized Veterinary Thermographic Image Classification using Support Vector Machines and Noise Mitigation
by Lama, Norsang, M.S.  Southern Illinois University at Edwardsville. 2017: 56 pages; 10616467.
3.
Learning to rank documents with support vector machines via active learning
by Arens, Robert James, Ph.D.  The University of Iowa. 2009: 113 pages; 3390239.
4.
Kernel Based Relevance Vector Machine for Classification of Diseases
by Tcheimegni, Elie, D.Sc.  Bowie State University. 2013: 202 pages; 3558597.
5.
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.
6.
A new distributed framework for cyber attack detection and classification
by Gutta, Sandeep, M.S.  Oklahoma State University. 2011: 86 pages; 1506488.
7.
System for Identifying Plankton from the SIPPER Instrument Platform
by Kramer, Kurt A., Ph.D.  University of South Florida. 2010: 134 pages; 3432570.
8.
Predicting Mental State Using Social Media Posts
by Seshadri, Subramaniam, M.S.  California State University, Long Beach. 2019: 56 pages; 13863615.
10.
Large margin transformation learning
by Howard, Andrew G., Ph.D.  Columbia University. 2009: 90 pages; 3388470.
11.
Robust Classification of Emotion in Human Speech Using Spectrogram Features
by Guven, Erhan, Ph.D.  The George Washington University. 2012: 133 pages; 3502353.
13.
Various considerations on performance measures for a classification of ordinal data
by Nyongesa, Denis Barasa, M.S.  California State University, Long Beach. 2016: 111 pages; 10133995.
14.
Performance of an SVM Classifier on Non-invasive EEG for a 2-State BCI Controller
by Samayamantri, Krishna Vijay, M.S.  California State University, Los Angeles. 2019: 160 pages; 13880546.
15.
Identifying Relationships between Scientific Datasets
by Alawini, Abdussalam, Ph.D.  Portland State University. 2016: 164 pages; 10127966.
16.
Analysis and automatic recognition of tones in Mandarin Chinese
by Surendran, Dinoj Randal, Ph.D.  The University of Chicago. 2007: 105 pages; 3287100.
17.
Machine Learning in Neuroimaging
by Punugu, Venkatapavani Pallavi, M.S.  State University of New York at Buffalo. 2017: 41 pages; 10284048.
18.
Autonomic Performance Optimization with Application to Self-Architecting Software Systems
by Ewing, John M., Ph.D.  George Mason University. 2015: 207 pages; 3706982.
19.
A Fuzzy Logic-Based Fault Tolerant Control Approach for Wind Turbines
by Kanumalla, Neha, M.S.  University of Louisiana at Lafayette. 2015: 99 pages; 10002411.
20.
Comparison of ad-hoc on demand distance vector and enhanced-ad-hoc on demand distance vector on vehicular ad-hoc networks
by Chandwasker, Tanmay, M.S.  California State University, Long Beach. 2016: 51 pages; 10011277.
21.
Counteracting traffic congestion using intelligent driver feedback
by Drum, David K., M.S.  University of Missouri - Columbia. 2014: 133 pages; 10180875.
22.
Decoupled Vector-Fetch Architecture with a Scalarizing Compiler
by Lee, Yunsup, Ph.D.  University of California, Berkeley. 2016: 157 pages; 10151006.
24.
A Smart Design Framework for a Novel Reconfigurable Multi-Processor Systems-on-Chip (ASREM) Architecture
by Dutta, Anandi, Ph.D.  University of Louisiana at Lafayette. 2016: 127 pages; 10163349.
25.
Machine-Learning Methods for Credit Card Fraud Detection
by Woolston, Sarah E., M.S.  California State University, Long Beach. 2017: 100 pages; 10602012.
26.
Resolution Machines
by Sagwal, Himanshu, M.S.  California State University, Long Beach. 2019: 53 pages; 13857510.
27.
Inference Algorithms and Sensorimotor Representations in Brains and Machines
by Mudigonda, Mayur, Ph.D.  University of California, Berkeley. 2019: 154 pages; 13904872.
28.
Approximating application performances in cloud data centers and simulated machines
by Islam, Mohammad Shahedul, Ph.D.  The University of Texas at San Antonio. 2016: 113 pages; 10249769.
29.
Cyber Incident Anomaly Detection Using Multivariate Analysis and Machine Learning
by Campbell, Ronald K., D.Engr.  The George Washington University. 2018: 121 pages; 10784357.
30.
Architectures for secure cloud computing servers
by Szefer, Jakub M., Ph.D.  Princeton University. 2013: 355 pages; 3597568.
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