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2.
Supporting parents with reunification by facilitating a weekend monitoring visit program: A grant proposal
by Yanez, Elia M., M.S.W.  California State University, Long Beach. 2015: 59 pages; 1584729.
3.
Ensemble supervised and unsupervised learning with Kepler variable stars
by Bass, Gideon, Ph.D.  George Mason University. 2015: 120 pages; 10027479.
4.
A family visitation program for families involved in the child welfare system: A grant proposal
by Edwards, Cicely M., M.S.W.  California State University, Long Beach. 2015: 58 pages; 1589611.
5.
Family visitation center for foster care children: A grant proposal project
by Luke, Tina, M.A.  California State University, Long Beach. 2010: 66 pages; 1486656.
6.
Visitation enhancement program for parents seeking to reunify with their children: A grant writing project
by De Alba, Irene Torres, M.S.W.  California State University, Long Beach. 2011: 79 pages; 1499246.
7.
Towards a Deeper Understanding of Semi-Supervised Learning
by Patterson, John D., Ph.D.  State University of New York at Binghamton. 2019: 165 pages; 27667673.
8.
Perceptions of foster care visitation procedures: A qualitative study
by Prat, Elizabeth, M.S.W.  California State University, Long Beach. 2010: 73 pages; 1486436.
10.
An in-home visitation program for homebound older adult Veterans: A grant proposal
by Cano, Melissa, M.S.W.  California State University, Long Beach. 2015: 58 pages; 1587888.
11.
Accessibility and Visitation in United States National Parks
by Rodriguez, Samantha, M.A.  The University of Texas at San Antonio. 2020: 38 pages; 28259849.
12.
Weakly Supervised Visual Understanding
by Zou, Yang, Ph.D.  Carnegie Mellon University. 2020: 170 pages; 28095257.
13.
An in-home visitation program for Meals-on-Wheels recipients: A grant proposal
by Chan, Jennifer A., M.S.W.  California State University, Long Beach. 2014: 61 pages; 1527681.
15.
Semi-supervised learning for connectionist networks
by Robare, Rebecca J., Ph.D.  City University of New York. 2010: 117 pages; 3426834.
16.
Feature Selection for Diffusion Methods Within a Supervised Context
by Le, Minh-Tam, Ph.D.  Yale University. 2014: 135 pages; 3582256.
17.
Using Supervised Machine Learning for Early Lung Cancer Detection
by Vo, Jessica, M.S.  California State University, Long Beach. 2020: 76 pages; 27736286.
18.
The Experiences of Peer Support Specialists Supervised by Non-Peer Supervisors
by Forbes, Joanne L., Ph.D.  Rutgers The State University of New Jersey, Rutgers School of Health Professions. 2020: 149 pages; 27964985.
19.
Supervised and Unsupervised Learning for Semantics Distillation in Multimedia Processing
by Liu, Yu, Ph.D.  State University of New York at Buffalo. 2018: 150 pages; 10932367.
20.
Semi-Supervised Learning for Electronic Phenotyping in Support of Precision Medicine
by Halpern, Yonatan, Ph.D.  New York University. 2016: 353 pages; 10192124.
23.
Web-based interactive editing and analytics for supervised segmentation of biomedical images
by Singh, Rahul Kumar, M.S.  University of Missouri - Columbia. 2014: 152 pages; 10180881.
24.
25.
Learning from time series in the presence of noise: Unsupervised and semi-supervised approaches
by Yankov, Dragomir Dimitrov, Ph.D.  University of California, Riverside. 2008: 165 pages; 3305676.
29.
Acquiring Information from Wider Scope to Improve Event Extraction
by Liao, Shasha, Ph.D.  New York University. 2012: 103 pages; 3524290.
30.
Get on the Bus: Analyzing Caregivers' Perceptions of Visits with Incarcerated Parents
by Young, Alexa, M.S.  California State University, Long Beach. 2019: 114 pages; 13425132.
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