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2.
Software signature derivation from sequential digital forensic analysis
by Nelson, Alexander J., Ph.D.  University of California, Santa Cruz. 2016: 177 pages; 10140317.
3.
Interactive Learning for Sequential Decisions and Predictions
by Ross, Stephane, Ph.D.  Carnegie Mellon University. 2013: 294 pages; 3575525.
4.
Representation Learning on Sequential Medical Data
by Hyland, Stephanie L., Ph.D.  Weill Medical College of Cornell University. 2019: 245 pages; 13805668.
5.
Predicting Four-Year Graduation: A Sequential Modeling Approach
by Sims, Michael S., M.S.  California State University, Long Beach. 2018: 83 pages; 10841337.
6.
Visualizing Sequential Patterns in Large Datasets Using Levels of Abstraction
by Wortman, Dana Taylor, Ph.D.  University of Maryland, Baltimore County. 2013: 401 pages; 3624429.
10.
Analysis of Sequential Caputo Fractional Differential Equations with Applications
by Sambandham, Bhuvaneswari, Ph.D.  University of Louisiana at Lafayette. 2016: 97 pages; 10163318.
13.
Robust Inference and Group Sequential Methods in Discrete Hazard Models
by Nguyen, Vinh Quang, Ph.D.  University of California, Irvine. 2011: 204 pages; 3477976.
14.
Attacks on difficult instances of graph isomorphism: Sequential and parallel algorithms
by Tener, Greg Daniel, Ph.D.  University of Central Florida. 2009: 153 pages; 3401107.
15.
Tracking rhythmicity in biomedical signals using sequential Monte Carlo methods
by Kim, Sunghan, Ph.D.  Portland State University. 2009: 217 pages; 3391678.
16.
A Comparison of Two Interventions to Treat Food Selectivity
by Garvey, Shannon C., M.S.  Northeastern University. 2011: 40 pages; 1497822.
19.
A Sequential Exploratory Mixed Methods Study of Carnegie Libraries and the Library Profession, 1900-1910
by Schuster, Kristen M., Ph.D.  University of Missouri - Columbia. 2017: 213 pages; 10629018.
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23.
Features and machine learning systems for structured and sequential data
by Schwenk, Guido, Ph.D.  Technische Universitaet Berlin (Germany). 2019: 13913817.
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28.
Belief based reinforcement learning for data fusion
by Lollett, Carlos, Ph.D.  State University of New York at Buffalo. 2009: 184 pages; 3342148.
29.
Wireless resource allocation among cooperative relays and non-cooperative agents
by Bae, Junjik, Ph.D.  Northwestern University. 2008: 206 pages; 3336444.
30.
Rapid Learning with Stochastic Focus of Attention
by Pelossof, Raphael A., Ph.D.  Columbia University. 2011: 85 pages; 3451712.
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