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122.
Android Sensor Classification Toolset
by Sargent, Mark, M.S.  California State University, Los Angeles. 2015: 22 pages; 10007188.
123.
Model combination in multiclass classification
by Reid, Samuel Robert, Ph.D.  University of Colorado at Boulder. 2010: 182 pages; 3404055.
124.
Classification of gastrointestinal bleeding data
by Chu, Adrienne Michelle, Ph.D.  State University of New York at Stony Brook. 2009: 128 pages; 3393643.
125.
Plurality cues and non-agreement in English existentials
by Melnick, Robin, M.A.  San Jose State University. 2013: 96 pages; 1541541.
126.
Image classification using invariant local features and contextual information
by Bharath, Ramesh, Ph.D.  National University of Singapore (Singapore). 2015: 178 pages; 10006074.
127.
Verb naming treatment for individuals with agrammatic aphasia: Efficacy data
by Graham, Lauren E., M.A.  University of Maryland, College Park. 2009: 84 pages; 1467705.
129.
Classification of visemes using visual cues
by Alothmany, Nazeeh Shuja, Ph.D.  University of Pittsburgh. 2009: 156 pages; 3384972.
130.
Acoustic and Image Vehicle Classification System
by Hoang, Trong Tuyen, M.S.  California State University, Long Beach. 2017: 56 pages; 10604463.
131.
Average likelihood method for classification of CDMA
by Vega Irizarry, Alfredo, Ph.D.  State University of New York at Buffalo. 2016: 143 pages; 10127689.
133.
Evaluating Model Estimation Processes for Diagnostic Classification Models
by Thompson, William, Ph.D.  University of Kansas. 2018: 127 pages; 10785604.
134.
Vehicle classification using machine learning algorithm
by Patel, Darshan D., M.S.  California State University, Long Beach. 2015: 37 pages; 1604876.
135.
Classification accuracy of logistic regression models under misspecifications
by Zhang, Enhan, Ph.D.  New York University. 2014: 137 pages; 3635317.
136.
In-Node Machine Learning-based Vehicle Classification
by Bhattarya, Rahul, M.S.  California State University, Long Beach. 2018: 62 pages; 10837826.
137.
In-Node Vehicle Classification and Identification
by Bavkar, Indraneel N., M.S.  California State University, Long Beach. 2017: 50 pages; 10639676.
138.
Real time vibraphone pitch and timbre classification
by Larke, Kevin, M.A.  University of California, San Diego. 2008: 51 pages; 1459923.
139.
Convolutional Neural Networks for EEG Signal Classification in Asynchronous Brain-Computer Interfaces
by Forney, Elliott M., Ph.D.  Colorado State University. 2019: 239 pages; 27544218.
140.
Multi-view, broadband, acoustic classification of marine animals
by Roberts, Paul L. D., Ph.D.  University of California, San Diego. 2009: 184 pages; 3354867.
141.
Electroencephalogram classification by forecasting with recurrent neural networks
by Forney, Elliott M., M.S.  Colorado State University. 2011: 79 pages; 1503664.
142.
Roughened Random Forests for Binary Classification
by Xiong, Kuangnan, Ph.D.  State University of New York at Albany. 2014: 136 pages; 3624962.
143.
A Parametric Classification of Directed Acyclic Graphs
by Chaturvedi, Mmanu, M.S.  Colorado State University. 2017: 45 pages; 10599253.
144.
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.
145.
Social Network Analysis Applied to Ontology 3D Visualization
by Yu, En, M.C.Sc.  Miami University. 2008: 157 pages; 10631476.
147.
Spatial Language Driven Robot
by Huo, Zhiyu, Ph.D.  University of Missouri - Columbia. 2017: 158 pages; 13869885.
148.
A Corpus-based Study of Alternating Ditransitive Constructions in Chinese Learner English
by Xu, Qi, Ph.D.  The Chinese University of Hong Kong (Hong Kong). 2014: 226 pages; 3691901.
149.
Self -taught learning
by Raina, Rajat, Ph.D.  Stanford University. 2009: 155 pages; 3382948.
150.
Full and Partial Diacritic Restoration: Development and Impact on Downstream Applications
by Alqahtani, Sawsan, Ph.D.  The George Washington University. 2020: 153 pages; 27668278.
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